Repository: JanCBrammer/OpenHRV
Branch: main
Commit: daf3a6a6aa9a
Files: 23
Total size: 128.7 KB
Directory structure:
gitextract_tia7z7ec/
├── .devcontainer.json
├── .github/
│ └── workflows/
│ └── build.yml
├── .gitignore
├── LICENSE
├── README.md
├── changelog.md
├── docs/
│ ├── compile_resources.sh
│ ├── logo.icns
│ ├── resources.qrc
│ └── troubleshooting.md
├── openhrv/
│ ├── __init__.py
│ ├── app.py
│ ├── config.py
│ ├── logger.py
│ ├── model.py
│ ├── pacer.py
│ ├── resources.py
│ ├── sensor.py
│ ├── utils.py
│ └── view.py
├── pyproject.toml
└── test/
├── app.py
└── profile_app.py
================================================
FILE CONTENTS
================================================
================================================
FILE: .devcontainer.json
================================================
// https://containers.dev/implementors/json_reference/
{
"name": "OpenHRV",
"image": "python:3.12",
"customizations": {
"vscode": {
"extensions": [
"ms-python.python",
"ms-python.vscode-pylance",
"ms-python.mypy-type-checker",
"KevinRose.vsc-python-indent",
"streetsidesoftware.code-spell-checker",
"tamasfe.even-better-toml",
"eamodio.gitlens",
"GitHub.copilot",
"charliermarsh.ruff"
],
"settings": {
"[python]": {
"editor.formatOnSave": true,
"editor.defaultFormatter": "charliermarsh.ruff"
}
}
}
}
}
================================================
FILE: .github/workflows/build.yml
================================================
name: build
on:
workflow_dispatch:
release:
types:
- published
jobs:
build:
runs-on: ubuntu-24.04
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install dependencies
run: |
python -m pip install --upgrade pip
python -m pip install -e .[build]
- name: release build
if: github.event_name == 'release'
run: |
pyinstaller --onefile --icon=docs/logo.ico --name=OpenHRV.bin openhrv/app.py --windowed
- name: manual build
if: github.event_name == 'workflow_dispatch'
run: |
pyinstaller --onefile --icon=docs/logo.ico --name=OpenHRV.bin openhrv/app.py
- name: upload build artifact
uses: actions/upload-artifact@v4
with:
name: OpenHRV
path: dist/OpenHRV.bin
- name: upload build artifact to release
if: github.event_name == 'release'
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # token generated implicitly
# See https://cli.github.com/manual/gh_release_upload.
run: |
gh release upload ${{ github.ref_name }} dist/OpenHRV.bin
================================================
FILE: .gitignore
================================================
.vscode/
__pycache__/
misc/
build/
dist/
*.egg-info
*.profile
.DS_Store
uv.lock
================================================
FILE: LICENSE
================================================
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That's all there is to it!
================================================
FILE: README.md
================================================
<img src="https://github.com/JanCBrammer/OpenHRV/raw/main/docs/logo.png" width="125" height="125" />
# OpenHRV
A desktop application for heart rate variability (HRV) biofeedback training with ECG chest straps.
## Compatible sensors
- Polar H7, H9, H10
- Decathlon Dual HR (model ZT26D)
## Installation
It is highly recommended to install the project in a virtual Python environment,
e.g., using [conda](https://docs.python.org/3/library/venv.html) or
[venv](https://docs.python.org/3/library/venv.html).
The required Python version is specified in
[pyproject.toml](https://github.com/JanCBrammer/OpenHRV/blob/main/pyproject.toml).
In your Python environment, clone the repository, and subsequently run
```
pip install .
```
in the root of the repository. Alternatively, you can skip cloning by running
```
pip install git+https://github.com/JanCBrammer/OpenHRV.git
```
You can now start the application with
```
python -m openhrv.app
```
or alternatively, with the shortcut
```
openhrv
```
I tested `OpenHRV` on Ubuntu 24.04. It _should_ run on Windows and macOS as well, however, I haven't confirmed that myself.
If you have problems running `OpenHRV` have a look at [docs/troubleshooting.md](docs/troubleshooting.md).
## Ubuntu executable
On Ubuntu, download and run [OpenHRV.bin](https://github.com/JanCBrammer/OpenHRV/releases/latest), no installation required.
## User Guide
### Connect your ECG sensor
First make sure the sensor is paired with your computer
(i.e., find and pair the sensor in your computer's Bluetooth settings).
Then search the sensor in **OpenHRV** by clicking `Scan`. The addresses of all
paired sensors show up in the drop-down menu. Select your sensor from the
drop-down menu and click `Connect` in order to establish a connection. You can
disconnect the sensor anytime by clicking `Disconnect`. Disconnecting is useful
if you want to connect to another sensor, or if an error occurs with the connection.
Should you have problems with the connection try disconnecting, and then reconnecting
the sensor.

### Set an HRV target
You can personalize the HRV target using the `Target` slider. After you've
been training for a while you will have a good idea of what's an attainable target
for you (this can vary depending on how much sleep or coffee you had etc.). You
can adjust the target anytime if you find the current target too easy or difficult.

### Set a breathing pace
The breathing pacer can help you increase your HRV. Breathe out as the blue
disk shrinks and breathe in as it gets larger. Explore how different breathing rates
affect your HRV by adjusting the `Rate` slider anytime during a session. Everyone
has a personal breathing rate at which their HRV is at its highest. Usually that
rate is somewhere between 4 and 7 breaths per minute. You can also hide the pacer
by unchecking the `Show pacer` box if you want to practice regulating HRV without pacing.

### Biofeedback training
Below you can watch heart rate variability (HRV) biofeedback training in action. Note
how the blue heart rate curve rises and falls. These fluctuations are the "variability"
in HRV. Your goal is to get the fluctuations large and regular. As you get better at this,
the white HRV curve will go up. There is no "ideal" HRV, as in "everyone should achieve
an HRV of 500 msec". Try to increase HRV relative to what you have achieved before
and be aware that it can take a fair bit of practice to improve.

================================================
FILE: changelog.md
================================================
# Changelog
### Version 1.1.1 (December 19 2025)
+ enhancement: Bumped PySide6 to version 6.10.
### Version 1.1.0 (December 15 2024)
+ enhancement: Computing HRV as exponentially weighted moving average (https://en.wikipedia.org/wiki/Exponential_smoothing).
+ enhancement: Accepting Decathlon HR sensor (thanks S73ph4n).
### Version 1.0.1 (November 30 2024)
+ enhancement: Relaxed Python version constraints.
+ enhancement: Bumped PySide6 to version 6.8.
+ enhancement: Bumped Python to version 3.12.
+ bugfix: Improved sensor UUID validation (thanks Mirkan Çalışkan (mirkancal)).
### Version 1.0.0 (April 29 2024)
+ enhancement: Added docs on building macOS with PyInstaller in order to deal with Bluetooth permissions (thanks cyclemaxwell).
+ enhancement: Show version in GUI.
+ enhancement: Removed PyQtGraph and NumPy dependencies.
+ enhancement: Bumped PySide6 to version 6.7.0.
+ enhancement: Bumped Python to version 3.11.
### Version 0.2.0 (April 23, 2022)
+ enhancement: Removed recording of Redis channels (removed Redis dependency).
+ enhancement: Handling Bluetooth connection with QtBluetooth instead of bleak (removed bleak dependency).
### Version 0.1.3 (January 08, 2022)
+ enhancement: Improved Bluetooth connection (thanks Marc Schlaich (schlamar)).
+ bugfix: No more connection attempt with empty address menu.
### Version 0.1.2 (May 18, 2021)
+ enhancement: Local HRV is now averaged over a fixed window of 15 seconds. Removed slider for HRV mean window size.
+ enhancement: Status messages on application state are now displayed in the GUI.
+ enhancement: Added recording- and Redis interface features (undocumented at time of release).
+ enhancement: Rejecting some artifacts in inter-beat-intervals as well as local HRV.
+ bugfix: Made validation of sensor addresses platform-specific (thanks Alexander Weuthen (alexweuthen)).
### Version 0.1.1 (January 13, 2021)
+ enhancement: Visibility of breathing pacer can be toggled.
+ enhancement: Made range of breathing pacer rates more granular (step size .5 instead of 1).
### Version 0.1.0 (January 07, 2021)
+ enhancement: Initial release.
================================================
FILE: docs/compile_resources.sh
================================================
#!/bin/bash
pyside6-rcc resources.qrc -o "../openhrv/resources.py"
================================================
FILE: docs/resources.qrc
================================================
<!DOCTYPE RCC><RCC version="1.0">
<qresource>
<file alias="logo.png">logo.png</file>
</qresource>
</RCC>
================================================
FILE: docs/troubleshooting.md
================================================
# Troubleshooting
If you have trouble connecting (or staying connected) to your Polar sensor, try (a combination of) the following:
- Turn Bluetooth off and on again.
- Un-pair and re-pair the sensor.
- Reset the sensor (https://support.polar.com/en/support/how_to_reset_my_heart_rate_sensor).
## Linux
You might have to install (some of) the dependencies for connecting to the X11 server:
- https://doc.qt.io/qt-6/linux-requirements.html
- https://doc.qt.io/qt-6/linux.html
## Windows
`OpenHRV` has been tested on Windows 10, but there seem to be Bluetooth problems on Windows 11.
Have a look at the issues (open and closed) labeled with `Windows`.
## MacOS
:warning: Those instructions aren't verified for releases > [0.2.0](https://github.com/JanCBrammer/OpenHRV/releases/tag/v0.2.0) :warning:
Clone the repository and run `pyinstaller mac_os_app.spec --clean --noconfirm` from the project root
in a Python environment that contains the dependencies specified in
[pyproject.toml](https://github.com/JanCBrammer/OpenHRV/blob/main/pyproject.toml) (including `build` dependencies).
The `mac_os_app.spec` file should look as follows:
```
# -*- mode: python ; coding: utf-8 -*-
block_cipher = None
a = Analysis(
["openhrv/app.py"],
pathex=["./openhrv"],
binaries=[],
datas=[],
hiddenimports=[],
hookspath=[],
hooksconfig={},
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher,
noarchive=False,
)
pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
exe = EXE(
pyz,
a.scripts,
[],
exclude_binaries=True,
name="app",
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
console=False,
disable_windowed_traceback=False,
argv_emulation=False,
target_arch=None,
codesign_identity=None,
entitlements_file=None,
)
coll = COLLECT(
exe,
a.binaries,
a.zipfiles,
a.datas,
strip=False,
upx=True,
upx_exclude=[],
name="app",
)
app = BUNDLE(
coll,
name="openhrv.app",
icon="docs/logo.icns",
bundle_identifier=None,
info_plist={
"NSBluetoothAlwaysUsageDescription": "This application uses a bluetooth sensor"
},
)
```
A macOS app bundle will be created at `OpenHRV/dist/openhrv.app`.
This can be loaded directly by clicking on it, or if you wish to see terminal debug messages,
you can execute from the project root `./dist/openhrv.app/Contents/MacOS/app`.
The first run takes extra time.
Also look at the issues (open and closed) labeled with `macOS`.
================================================
FILE: openhrv/__init__.py
================================================
# https://py-pkgs.org/04-package-structure
from importlib.metadata import version
__version__ = version("OpenHRV") # read version from pyproject.toml
================================================
FILE: openhrv/app.py
================================================
import sys
from PySide6.QtWidgets import QApplication
from openhrv.view import View
from openhrv.model import Model
class Application(QApplication):
def __init__(self, sys_argv):
super(Application, self).__init__(sys_argv)
self._model = Model()
self._view = View(self._model)
def main():
app = Application(sys.argv)
app._view.show()
sys.exit(app.exec())
if __name__ == "__main__":
main()
================================================
FILE: openhrv/config.py
================================================
from typing import Final
from math import ceil
IBI_MEDIAN_WINDOW: Final[int] = 11 # samples
EWMA_WEIGHT_CURRENT_SAMPLE: Final[float] = (
0.1 # set in range [0, 1], 1 being minimal smoothing, see https://en.wikipedia.org/wiki/Exponential_smoothing
)
MIN_BREATHING_RATE: Final[float] = 4.0 # breaths per minute
MAX_BREATHING_RATE: Final[float] = 7.0 # breaths per minute
MIN_HRV_TARGET: Final[int] = 50
MAX_HRV_TARGET: Final[int] = 600
min_heart_rate = 30
max_heart_rate = 220
MIN_IBI: Final[int] = ceil(60_000 / max_heart_rate)
MAX_IBI: Final[int] = ceil(60_000 / min_heart_rate)
MIN_PLOT_IBI: Final[int] = 300
MAX_PLOT_IBI: Final[int] = 1500
# IBI buffer must hold enough samples such that even if IBIs (on average) were
# MIN_IBI long, there'd be enough samples to display for IBI_HISTORY_DURATION seconds.
IBI_HISTORY_DURATION: Final[int] = 60 # seconds
IBI_BUFFER_SIZE: Final[int] = ceil(IBI_HISTORY_DURATION / (MIN_IBI / 1000)) # samples
HRV_HISTORY_DURATION: Final[int] = 120 # seconds
HRV_BUFFER_SIZE: Final[int] = ceil(HRV_HISTORY_DURATION / (MIN_IBI / 1000)) # samples
COMPATIBLE_SENSORS: Final[list[str]] = ["Polar", "Decathlon Dual HR"]
def tick_to_breathing_rate(tick: int) -> float:
return (tick + 8) / 2 # scale tick to [4, 7], step .5
def breathing_rate_to_tick(rate: float) -> int:
return ceil(rate * 2 - 8) # scale rate to [0, 6], step 1
================================================
FILE: openhrv/logger.py
================================================
from datetime import datetime
from PySide6.QtCore import QObject, Signal
from openhrv.utils import NamedSignal
class Logger(QObject):
recording_status = Signal(int)
status_update = Signal(str)
def __init__(self):
super().__init__()
self.file = None
def start_recording(self, file_path: str):
if self.file:
self.status_update.emit(f"Already writing to a file at {self.file.name}.")
return # only write to one file at a time
self.file = open(file_path, "a+")
self.file.write("event,value,timestamp\n") # header
self.recording_status.emit(0)
self.status_update.emit(f"Started recording to {self.file.name}.")
def save_recording(self):
"""Called when:
1. User saves recording.
2. User closes app while recording
"""
if not self.file:
return
self.file.close()
self.recording_status.emit(1)
self.status_update.emit(f"Saved recording at {self.file.name}.")
self.file = None
def write_to_file(self, data: NamedSignal):
if not self.file:
return
key, val = data
if isinstance(val, list):
val = val[-1]
if isinstance(val, tuple):
val = val[-1][-1]
timestamp = datetime.now().isoformat()
self.file.write(f"{key},{val},{timestamp}\n")
================================================
FILE: openhrv/model.py
================================================
import statistics
import math
from collections import deque
from itertools import islice
from PySide6.QtCore import QObject, Signal, Slot
from PySide6.QtBluetooth import QBluetoothDeviceInfo
from openhrv.utils import get_sensor_address, sign, NamedSignal
from openhrv.config import (
tick_to_breathing_rate,
HRV_BUFFER_SIZE,
IBI_BUFFER_SIZE,
MAX_BREATHING_RATE,
MIN_IBI,
MAX_IBI,
IBI_MEDIAN_WINDOW,
MIN_HRV_TARGET,
MAX_HRV_TARGET,
EWMA_WEIGHT_CURRENT_SAMPLE,
)
class Model(QObject):
ibis_buffer_update = Signal(NamedSignal)
hrv_update = Signal(NamedSignal)
addresses_update = Signal(NamedSignal)
pacer_rate_update = Signal(NamedSignal)
hrv_target_update = Signal(NamedSignal)
def __init__(self):
super().__init__()
# Once a bounded length deque is full, when new items are added,
# a corresponding number of items are discarded from the opposite end.
self.ibis_buffer: deque[int] = deque([1000] * IBI_BUFFER_SIZE, IBI_BUFFER_SIZE)
self.ibis_seconds: deque[float] = deque(
map(float, range(-IBI_BUFFER_SIZE, 1)), IBI_BUFFER_SIZE
)
self.hrv_buffer: deque[float] = deque([-1] * HRV_BUFFER_SIZE, HRV_BUFFER_SIZE)
self.hrv_seconds: deque[float] = deque(
map(float, range(-HRV_BUFFER_SIZE, 1)), HRV_BUFFER_SIZE
)
# Exponentially Weighted Moving Average:
# - https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average
# - https://en.wikipedia.org/wiki/Exponential_smoothing
# - http://nestedsoftware.com/2018/04/04/exponential-moving-average-on-streaming-data-4hhl.24876.html
self.ewma_hrv: float = 1.0
self.sensors: list[QBluetoothDeviceInfo] = []
self.breathing_rate: float = float(MAX_BREATHING_RATE)
self.hrv_target: int = math.ceil((MIN_HRV_TARGET + MAX_HRV_TARGET) / 2)
self._last_ibi_phase: int = -1
self._last_ibi_extreme: int = 0
self._duration_current_phase: int = 0
@Slot(int)
def update_ibis_buffer(self, ibi: int):
validated_ibi = self.validate_ibi(ibi)
self.update_ibis_seconds(validated_ibi / 1000)
self.ibis_buffer.append(validated_ibi)
self.ibis_buffer_update.emit(
NamedSignal("InterBeatInterval", (self.ibis_seconds, self.ibis_buffer))
)
self.compute_local_hrv()
@Slot(int)
def update_breathing_rate(self, breathing_tick: int):
self.breathing_rate = tick_to_breathing_rate(breathing_tick)
self.pacer_rate_update.emit(NamedSignal("PacerRate", self.breathing_rate))
@Slot(int)
def update_hrv_target(self, hrv_target: int):
self.hrv_target = hrv_target
self.hrv_target_update.emit(NamedSignal("HrvTarget", hrv_target))
@Slot(object)
def update_sensors(self, sensors: list[QBluetoothDeviceInfo]):
self.sensors = sensors
self.addresses_update.emit(
NamedSignal(
"Sensors", [f"{s.name()}, {get_sensor_address(s)}" for s in sensors]
)
)
def validate_ibi(self, ibi: int) -> int:
validated_ibi: int = ibi
if ibi < MIN_IBI or ibi > MAX_IBI:
median_ibi: int = math.ceil(
statistics.median(
islice(
self.ibis_buffer,
len(self.ibis_buffer) - IBI_MEDIAN_WINDOW,
None,
)
)
)
if median_ibi < MIN_IBI:
validated_ibi = MIN_IBI
elif median_ibi > MAX_IBI:
validated_ibi = MAX_IBI
else:
validated_ibi = median_ibi
print(f"Correcting outlier IBI {ibi} to {validated_ibi}")
return validated_ibi
def validate_hrv(self, hrv: int) -> int:
validated_hrv: int = hrv
if hrv > MAX_HRV_TARGET:
validated_hrv = min(math.ceil(self.ewma_hrv), MAX_HRV_TARGET)
print(f"Correcting outlier HRV {hrv} to {validated_hrv}")
return validated_hrv
def compute_local_hrv(self):
"""https://doi.org/10.1038/s41598-019-44201-7 (Figure 2)"""
self._duration_current_phase += self.ibis_buffer[-1]
# 1: IBI rises, -1: IBI falls, 0: IBI constant
current_ibi_phase: int = sign(self.ibis_buffer[-1] - self.ibis_buffer[-2])
if current_ibi_phase == 0:
return
if current_ibi_phase == self._last_ibi_phase:
return
current_ibi_extreme: int = self.ibis_buffer[-2]
local_hrv: int = abs(self._last_ibi_extreme - current_ibi_extreme)
self.update_hrv_buffer(local_hrv)
seconds_current_phase: float = self._duration_current_phase / 1000
self.update_hrv_seconds(seconds_current_phase)
self._duration_current_phase = 0
self._last_ibi_extreme = current_ibi_extreme
self._last_ibi_phase = current_ibi_phase
def update_hrv_buffer(self, local_hrv: int):
self.ewma_hrv = (
EWMA_WEIGHT_CURRENT_SAMPLE * self.validate_hrv(local_hrv)
+ (1 - EWMA_WEIGHT_CURRENT_SAMPLE) * self.ewma_hrv
)
self.hrv_buffer.append(self.ewma_hrv)
self.hrv_update.emit(
NamedSignal("HeartRateVariability", (self.hrv_seconds, self.hrv_buffer))
)
def update_ibis_seconds(self, seconds: float):
self.ibis_seconds = deque(
[i - seconds for i in self.ibis_seconds], IBI_BUFFER_SIZE
)
self.ibis_seconds.append(0.0)
def update_hrv_seconds(self, seconds: float):
self.hrv_seconds = deque(
[i - seconds for i in self.hrv_seconds], HRV_BUFFER_SIZE
)
self.hrv_seconds.append(0.0)
================================================
FILE: openhrv/pacer.py
================================================
import math
import time
from PySide6.QtCore import QObject
class Pacer(QObject):
def __init__(self):
super().__init__()
n_samples: int = 40
increment: float = 2 * math.pi / n_samples
theta: list[float] = [i * increment for i in range(n_samples + 1)]
self.cos_theta: list[float] = list(map(math.cos, theta))
self.sin_theta: list[float] = list(map(math.sin, theta))
def breathing_pattern(self, breathing_rate: float, time: float) -> float:
"""Returns radius of pacer disk.
Radius is modulated according to sinusoidal breathing pattern
and scaled between 0 and 1.
"""
return 0.5 + 0.5 * math.sin(2 * math.pi * breathing_rate / 60 * time)
def update(self, breathing_rate: float) -> tuple[list[float], list[float]]:
"""Update radius of pacer disc.
Make current disk radius a function of real time (i.e., don't
precompute radii with fixed time interval) in order to compensate for
jitter or delay in QTimer calls.
"""
radius = self.breathing_pattern(breathing_rate, time.time())
x: list[float] = [i * radius for i in self.cos_theta]
y: list[float] = [i * radius for i in self.sin_theta]
return (x, y)
================================================
FILE: openhrv/resources.py
================================================
# Resource object code (Python 3)
# Created by: object code
# Created by: The Resource Compiler for Qt version 6.5.0
# WARNING! All changes made in this file will be lost!
from PySide6 import QtCore
qt_resource_data = b"\
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qt_resource_name = b"\
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qt_resource_struct = b"\
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def qInitResources():
QtCore.qRegisterResourceData(0x03, qt_resource_struct, qt_resource_name, qt_resource_data)
def qCleanupResources():
QtCore.qUnregisterResourceData(0x03, qt_resource_struct, qt_resource_name, qt_resource_data)
qInitResources()
================================================
FILE: openhrv/sensor.py
================================================
from PySide6.QtCore import QObject, Signal, QByteArray
from PySide6.QtBluetooth import (
QBluetoothDeviceDiscoveryAgent,
QLowEnergyController,
QLowEnergyService,
QLowEnergyCharacteristic,
QBluetoothUuid,
QBluetoothDeviceInfo,
QLowEnergyDescriptor,
)
from math import ceil
from typing import Union
from openhrv.utils import get_sensor_address, get_sensor_remote_address
from openhrv.config import COMPATIBLE_SENSORS
class SensorScanner(QObject):
sensor_update = Signal(object)
status_update = Signal(str)
def __init__(self):
super().__init__()
self.scanner = QBluetoothDeviceDiscoveryAgent()
self.scanner.finished.connect(self._handle_scan_result)
self.scanner.errorOccurred.connect(self._handle_scan_error)
def scan(self):
if self.scanner.isActive():
self.status_update.emit("Already searching for sensors.")
return
self.status_update.emit("Searching for sensors (this might take a while).")
self.scanner.start()
def _handle_scan_result(self):
sensors: list[QBluetoothDeviceInfo] = [
d
for d in self.scanner.discoveredDevices()
if (any(cs in d.name() for cs in COMPATIBLE_SENSORS)) and (d.rssi() <= 0)
] # https://www.mokoblue.com/measures-of-bluetooth-rssi/
if not sensors:
self.status_update.emit("Couldn't find sensors.")
return
self.sensor_update.emit(sensors)
self.status_update.emit(f"Found {len(sensors)} sensor(s).")
def _handle_scan_error(self, error):
print(error)
class SensorClient(QObject):
"""
Connect to an ECG sensor that acts as a Bluetooth server / peripheral.
On Windows, the sensor must already be paired with the machine running
OpenHRV. Pairing isn't implemented in Qt6.
In Qt terminology client=central, server=peripheral.
"""
ibi_update = Signal(object)
status_update = Signal(str)
def __init__(self):
super().__init__()
self.client: Union[None, QLowEnergyController] = None
self.hr_service: Union[None, QLowEnergyService] = None
self.hr_notification: Union[None, QLowEnergyDescriptor] = None
self.ENABLE_NOTIFICATION: QByteArray = QByteArray.fromHex(b"0100")
self.DISABLE_NOTIFICATION: QByteArray = QByteArray.fromHex(b"0000")
self.HR_SERVICE: QBluetoothUuid.ServiceClassUuid = (
QBluetoothUuid.ServiceClassUuid.HeartRate
)
self.HR_CHARACTERISTIC: QBluetoothUuid.CharacteristicType = (
QBluetoothUuid.CharacteristicType.HeartRateMeasurement
)
def _sensor_address(self):
return get_sensor_remote_address(self.client)
def connect_client(self, sensor: QBluetoothDeviceInfo):
if self.client is not None:
msg = (
f"Currently connected to sensor at {self._sensor_address()}."
" Please disconnect before (re-)connecting to (another) sensor."
)
self.status_update.emit(msg)
return
self.status_update.emit(
f"Connecting to sensor at {get_sensor_address(sensor)} (this might take a while)."
)
self.client = QLowEnergyController.createCentral(sensor)
self.client.errorOccurred.connect(self._catch_error)
self.client.connected.connect(self._discover_services)
self.client.discoveryFinished.connect(self._connect_hr_service)
self.client.disconnected.connect(self._reset_connection)
self.client.connectToDevice()
def disconnect_client(self):
if self.hr_notification is not None and self.hr_service is not None:
if not self.hr_notification.isValid():
return
print("Unsubscribing from HR service.")
self.hr_service.writeDescriptor(
self.hr_notification, self.DISABLE_NOTIFICATION
)
if self.client is not None:
self.status_update.emit(
f"Disconnecting from sensor at {self._sensor_address()}."
)
self.client.disconnectFromDevice()
def _discover_services(self):
if self.client is not None:
self.client.discoverServices()
def _connect_hr_service(self):
if self.client is None:
return
hr_service: list[QBluetoothUuid] = [
s for s in self.client.services() if s == self.HR_SERVICE
]
if not hr_service:
print(f"Couldn't find HR service on {self._sensor_address()}.")
return
self.hr_service = self.client.createServiceObject(hr_service[0])
if not self.hr_service:
print(
f"Couldn't establish connection to HR service on {self._sensor_address()}."
)
return
self.hr_service.stateChanged.connect(self._start_hr_notification)
self.hr_service.characteristicChanged.connect(self._data_handler)
self.hr_service.discoverDetails()
def _start_hr_notification(self, state: QLowEnergyService.ServiceState):
if state != QLowEnergyService.RemoteServiceDiscovered:
return
if self.hr_service is None:
return
hr_char: QLowEnergyCharacteristic = self.hr_service.characteristic(
self.HR_CHARACTERISTIC
)
if not hr_char.isValid():
print(f"Couldn't find HR characterictic on {self._sensor_address()}.")
self.hr_notification = hr_char.descriptor(
QBluetoothUuid.DescriptorType.ClientCharacteristicConfiguration
)
if not self.hr_notification.isValid():
print("HR characteristic is invalid.")
self.hr_service.writeDescriptor(self.hr_notification, self.ENABLE_NOTIFICATION)
def _reset_connection(self):
print(f"Discarding sensor at {self._sensor_address()}.")
self._remove_service()
self._remove_client()
def _remove_service(self):
if self.hr_service is None:
return
try:
self.hr_service.deleteLater()
except Exception as e:
print(f"Couldn't remove service: {e}")
finally:
self.hr_service = None
self.hr_notification = None
def _remove_client(self):
if self.client is None:
return
try:
self.client.disconnected.disconnect()
self.client.deleteLater()
except Exception as e:
print(f"Couldn't remove client: {e}")
finally:
self.client = None
def _catch_error(self, error):
self.status_update.emit(f"An error occurred: {error}. Disconnecting sensor.")
self._reset_connection()
def _data_handler(self, _, data: QByteArray): # _ is unused but mandatory argument
"""
`data` is formatted according to the
"GATT Characteristic and Object Type 0x2A37 Heart Rate Measurement"
which is one of the three characteristics included in the
"GATT Service 0x180D Heart Rate".
`data` can include the following bytes:
- flags
Always present.
- bit 0: HR format (uint8 vs. uint16)
- bit 1, 2: sensor contact status
- bit 3: energy expenditure status
- bit 4: RR interval status
- HR
Encoded by one or two bytes depending on flags/bit0. One byte is
always present (uint8). Two bytes (uint16) are necessary to
represent HR > 255.
- energy expenditure
Encoded by 2 bytes. Only present if flags/bit3.
- inter-beat-intervals (IBIs)
One IBI is encoded by 2 consecutive bytes. Up to 18 bytes depending
on presence of uint16 HR format and energy expenditure.
"""
heart_rate_measurement_bytes: bytes = data.data()
byte0: int = heart_rate_measurement_bytes[0]
uint8_format: bool = (byte0 & 1) == 0
energy_expenditure: bool = ((byte0 >> 3) & 1) == 1
rr_interval: bool = ((byte0 >> 4) & 1) == 1
if not rr_interval:
return
first_rr_byte: int = 2
if uint8_format:
# hr = data[1]
pass
else:
# hr = (data[2] << 8) | data[1] # uint16
first_rr_byte += 1
if energy_expenditure:
# ee = (data[first_rr_byte + 1] << 8) | data[first_rr_byte]
first_rr_byte += 2
for i in range(first_rr_byte, len(heart_rate_measurement_bytes), 2):
ibi: int = (
heart_rate_measurement_bytes[i + 1] << 8
) | heart_rate_measurement_bytes[i]
# Polar H7, H9, and H10 record IBIs in 1/1024 seconds format.
# Convert 1/1024 sec format to milliseconds.
# TODO: move conversion to model and only convert if sensor doesn't
# transmit data in milliseconds.
ibi = ceil(ibi / 1024 * 1000)
self.ibi_update.emit(ibi)
================================================
FILE: openhrv/utils.py
================================================
import re
import platform
from pathlib import Path
from collections import namedtuple
from PySide6.QtBluetooth import QBluetoothDeviceInfo
NamedSignal = namedtuple("NamedSignal", "name value")
def get_sensor_address(sensor: QBluetoothDeviceInfo) -> str:
"""Return MAC (Windows, Linux) or UUID (macOS)."""
system = platform.system()
sensor_address = ""
if system in ["Linux", "Windows"]:
sensor_address = sensor.address().toString()
elif system == "Darwin":
sensor_address = sensor.deviceUuid().toString().strip("{}")
return sensor_address
def get_sensor_remote_address(sensor) -> str:
"""Return MAC (Windows, Linux) or UUID (macOS)."""
system = platform.system()
sensor_remote_address = ""
if system in ["Linux", "Windows"]:
sensor_remote_address = sensor.remoteAddress().toString()
elif system == "Darwin":
sensor_remote_address = sensor.remoteDeviceUuid().toString().strip("{}")
return sensor_remote_address
def valid_address(address: str) -> bool:
"""Make sure that MAC (Windows, Linux) or UUID (macOS) is valid."""
system = platform.system()
regex = ""
if system in ["Linux", "Windows"]:
regex = r"[0-9a-f]{2}([-:]?)[0-9a-f]{2}(\1[0-9a-f]{2}){4}$"
elif system == "Darwin":
# Allow for any valid UUID
regex = r"[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$"
return bool(re.compile(regex, re.IGNORECASE).match(address))
def valid_path(path: str) -> bool:
"""Make sure that path is valid by OS standards and that a file doesn't
exist on that path already. No builtin solution for this atm."""
valid = False
test_path = Path(path)
try:
test_path.touch(exist_ok=False) # create file
test_path.unlink() # remove file (only called if file doesn't exist)
valid = True
except OSError: # path exists or is invalid
pass
return valid
def sign(value: int) -> int:
if value > 0:
return 1
elif value < 0:
return -1
return value
================================================
FILE: openhrv/view.py
================================================
from datetime import datetime
from PySide6.QtWidgets import (
QMainWindow,
QPushButton,
QHBoxLayout,
QVBoxLayout,
QWidget,
QLabel,
QComboBox,
QSlider,
QGroupBox,
QFormLayout,
QCheckBox,
QFileDialog,
QProgressBar,
QGridLayout,
QSizePolicy,
)
from PySide6.QtCore import Qt, QThread, Signal, QObject, QTimer, QMargins, QSize
from PySide6.QtGui import QIcon, QLinearGradient, QBrush, QGradient, QColor
from PySide6.QtCharts import QChartView, QChart, QSplineSeries, QValueAxis, QAreaSeries
from PySide6.QtBluetooth import QBluetoothDeviceInfo
from typing import Iterable
from openhrv.utils import valid_address, valid_path, get_sensor_address, NamedSignal
from openhrv.sensor import SensorScanner, SensorClient
from openhrv.logger import Logger
from openhrv.pacer import Pacer
from openhrv.model import Model
from openhrv.config import (
breathing_rate_to_tick,
HRV_HISTORY_DURATION,
IBI_HISTORY_DURATION,
MAX_BREATHING_RATE,
MIN_BREATHING_RATE,
MIN_HRV_TARGET,
MAX_HRV_TARGET,
MIN_PLOT_IBI,
MAX_PLOT_IBI,
)
from openhrv import __version__ as version, resources # noqa
BLUE = QColor(135, 206, 250)
WHITE = QColor(255, 255, 255)
GREEN = QColor(0, 255, 0)
YELLOW = QColor(255, 255, 0)
RED = QColor(255, 0, 0)
class PacerWidget(QChartView):
def __init__(
self, x_values: Iterable[float], y_values: Iterable[float], color: QColor = BLUE
):
super().__init__()
self.setSizePolicy(
QSizePolicy(
QSizePolicy.Fixed, # enforce self.sizeHint by fixing horizontal (width) policy
QSizePolicy.Preferred,
)
)
self.plot = QChart()
self.plot.legend().setVisible(False)
self.plot.setBackgroundRoundness(0)
self.plot.setMargins(QMargins(0, 0, 0, 0))
self.disc_circumference_coord = QSplineSeries()
self._instantiate_series(x_values, y_values)
self.disk = QAreaSeries(self.disc_circumference_coord)
self.disk.setColor(color)
self.plot.addSeries(self.disk)
self.x_axis = QValueAxis()
self.x_axis.setRange(-1, 1)
self.x_axis.setVisible(False)
self.plot.addAxis(self.x_axis, Qt.AlignBottom)
self.disk.attachAxis(self.x_axis)
self.y_axis = QValueAxis()
self.y_axis.setRange(-1, 1)
self.y_axis.setVisible(False)
self.plot.addAxis(self.y_axis, Qt.AlignLeft)
self.disk.attachAxis(self.y_axis)
self.setChart(self.plot)
def _instantiate_series(self, x_values: Iterable[float], y_values: Iterable[float]):
for x, y in zip(x_values, y_values):
self.disc_circumference_coord.append(x, y)
def update_series(self, x_values: Iterable[float], y_values: Iterable[float]):
for i, (x, y) in enumerate(zip(x_values, y_values)):
self.disc_circumference_coord.replace(i, x, y)
def sizeHint(self):
height = self.size().height()
return QSize(height, height) # force square aspect ratio
def resizeEvent(self, event):
if self.size().width() != self.size().height():
self.updateGeometry() # adjusts geometry based on sizeHint
return super().resizeEvent(event)
class XYSeriesWidget(QChartView):
def __init__(
self,
x_values: Iterable[float],
y_values: Iterable[float],
line_color: QColor = BLUE,
):
super().__init__()
self.plot = QChart()
self.plot.legend().setVisible(False)
self.plot.setBackgroundRoundness(0)
self.plot.setMargins(QMargins(0, 0, 0, 0))
self.time_series = QSplineSeries()
self.plot.addSeries(self.time_series)
pen = self.time_series.pen()
pen.setWidth(4)
pen.setColor(line_color)
self.time_series.setPen(pen)
self._instantiate_series(x_values, y_values)
self.x_axis = QValueAxis()
self.x_axis.setLabelFormat("%i")
self.plot.addAxis(self.x_axis, Qt.AlignBottom)
self.time_series.attachAxis(self.x_axis)
self.y_axis = QValueAxis()
self.y_axis.setLabelFormat("%i")
self.plot.addAxis(self.y_axis, Qt.AlignLeft)
self.time_series.attachAxis(self.y_axis)
self.setChart(self.plot)
def _instantiate_series(self, x_values: Iterable[float], y_values: Iterable[float]):
for x, y in zip(x_values, y_values):
self.time_series.append(x, y)
def update_series(self, x_values: Iterable[float], y_values: Iterable[float]):
for i, (x, y) in enumerate(zip(x_values, y_values)):
self.time_series.replace(i, x, y)
class ViewSignals(QObject):
"""Cannot be defined on View directly since Signal needs to be defined on
object that inherits from QObject"""
annotation = Signal(tuple)
start_recording = Signal(str)
class View(QMainWindow):
def __init__(self, model: Model):
super().__init__()
self.setWindowTitle(f"OpenHRV ({version})")
self.setWindowIcon(QIcon(":/logo.png"))
self.model = model
self.model.ibis_buffer_update.connect(self.plot_ibis)
self.model.hrv_update.connect(self.plot_hrv)
self.model.addresses_update.connect(self.list_addresses)
self.model.pacer_rate_update.connect(self.update_pacer_label)
self.model.hrv_target_update.connect(self.update_hrv_target)
self.signals = ViewSignals()
self.pacer = Pacer()
self.pacer_timer = QTimer()
self.pacer_timer.setInterval(int(1 / 8 * 1000)) # redraw pacer at 8Hz
self.pacer_timer.timeout.connect(self.plot_pacer_disk)
self.scanner = SensorScanner()
self.scanner.sensor_update.connect(self.model.update_sensors)
self.scanner.status_update.connect(self.show_status)
self.sensor = SensorClient()
self.sensor.ibi_update.connect(self.model.update_ibis_buffer)
self.sensor.status_update.connect(self.show_status)
self.logger = Logger()
self.logger.recording_status.connect(self.show_recording_status)
self.logger.status_update.connect(self.show_status)
self.logger_thread = QThread()
self.logger_thread.finished.connect(self.logger.save_recording)
self.signals.start_recording.connect(self.logger.start_recording)
self.logger.moveToThread(self.logger_thread)
self.model.ibis_buffer_update.connect(self.logger.write_to_file)
self.model.addresses_update.connect(self.logger.write_to_file)
self.model.pacer_rate_update.connect(self.logger.write_to_file)
self.model.hrv_target_update.connect(self.logger.write_to_file)
self.model.hrv_update.connect(self.logger.write_to_file)
self.signals.annotation.connect(self.logger.write_to_file)
self.ibis_widget = XYSeriesWidget(
self.model.ibis_seconds, self.model.ibis_buffer
)
self.ibis_widget.x_axis.setTitleText("Seconds")
# The time series displays only the samples within the last
# IBI_HISTORY_DURATION seconds,
# even though there are more samples in self.model.ibis_seconds.
self.ibis_widget.x_axis.setRange(-IBI_HISTORY_DURATION, 0.0)
self.ibis_widget.x_axis.setTickCount(7)
self.ibis_widget.x_axis.setTickInterval(10.0)
self.ibis_widget.y_axis.setTitleText("Inter-Beat-Interval (msec)")
self.ibis_widget.y_axis.setRange(MIN_PLOT_IBI, MAX_PLOT_IBI)
self.hrv_widget = XYSeriesWidget(
self.model.hrv_seconds, self.model.hrv_buffer, WHITE
)
self.hrv_widget.x_axis.setTitleText("Seconds")
# The time series displays only the samples within the last
# HRV_HISTORY_DURATION seconds,
# even though there are more samples in self.model.hrv_seconds.
self.hrv_widget.x_axis.setRange(-HRV_HISTORY_DURATION, 0)
self.hrv_widget.y_axis.setTitleText("HRV (msec)")
self.hrv_widget.y_axis.setRange(0, self.model.hrv_target)
colorgrad = QLinearGradient(0, 0, 0, 1) # horizontal gradient
colorgrad.setCoordinateMode(QGradient.ObjectMode)
colorgrad.setColorAt(0, GREEN)
colorgrad.setColorAt(0.6, YELLOW)
colorgrad.setColorAt(1, RED)
brush = QBrush(colorgrad)
self.hrv_widget.plot.setPlotAreaBackgroundBrush(brush)
self.hrv_widget.plot.setPlotAreaBackgroundVisible(True)
self.pacer_widget = PacerWidget(*self.pacer.update(self.model.breathing_rate))
self.pacer_label = QLabel()
self.pacer_rate = QSlider(Qt.Horizontal)
self.pacer_rate.setTickPosition(QSlider.TicksBelow)
self.pacer_rate.setTracking(False)
self.pacer_rate.setRange(
breathing_rate_to_tick(MIN_BREATHING_RATE),
breathing_rate_to_tick(MAX_BREATHING_RATE),
)
self.pacer_rate.valueChanged.connect(self.model.update_breathing_rate)
self.pacer_rate.setValue(breathing_rate_to_tick(MAX_BREATHING_RATE))
self.pacer_toggle = QCheckBox("Show pacer", self)
self.pacer_toggle.setChecked(True)
self.pacer_toggle.stateChanged.connect(self.toggle_pacer)
self.hrv_target_label = QLabel(f"Target: {self.model.hrv_target}")
self.hrv_target = QSlider(Qt.Horizontal)
self.hrv_target.setRange(MIN_HRV_TARGET, MAX_HRV_TARGET)
self.hrv_target.setSingleStep(10)
self.hrv_target.valueChanged.connect(self.model.update_hrv_target)
self.hrv_target.setSliderPosition(self.model.hrv_target)
self.scan_button = QPushButton("Scan")
self.scan_button.clicked.connect(self.scanner.scan)
self.address_menu = QComboBox()
self.connect_button = QPushButton("Connect")
self.connect_button.clicked.connect(self.connect_sensor)
self.disconnect_button = QPushButton("Disconnect")
self.disconnect_button.clicked.connect(self.disconnect_sensor)
self.start_recording_button = QPushButton("Start")
self.start_recording_button.clicked.connect(self.get_filepath)
self.save_recording_button = QPushButton("Save")
self.save_recording_button.clicked.connect(self.logger.save_recording)
self.annotation = QComboBox()
self.annotation.setEditable(True)
self.annotation.setDuplicatesEnabled(False)
self.annotation_button = QPushButton("Annotate")
self.annotation_button.clicked.connect(self.emit_annotation)
self.central_widget = QWidget()
self.setCentralWidget(self.central_widget)
self.recording_status_label = QLabel("Status:")
self.recording_statusbar = QProgressBar()
self.recording_statusbar.setRange(0, 1)
self.statusbar = self.statusBar()
self.vlayout0 = QVBoxLayout(self.central_widget)
self.hlayout0 = QHBoxLayout()
self.hlayout0.addWidget(self.ibis_widget)
self.hlayout0.addWidget(self.pacer_widget)
self.vlayout0.addLayout(self.hlayout0, stretch=50)
self.vlayout0.addWidget(self.hrv_widget, stretch=50)
self.hlayout1 = QHBoxLayout()
self.device_config = QGridLayout()
self.device_config.addWidget(self.scan_button, 0, 0)
self.device_config.addWidget(self.address_menu, 0, 1)
self.device_config.addWidget(self.connect_button, 1, 0)
self.device_config.addWidget(self.disconnect_button, 1, 1)
self.device_panel = QGroupBox("ECG Devices")
self.device_panel.setLayout(self.device_config)
self.hlayout1.addWidget(self.device_panel, stretch=25)
self.hrv_config = QFormLayout()
self.hrv_config.addRow(self.hrv_target_label, self.hrv_target)
self.hrv_panel = QGroupBox("HRV Settings")
self.hrv_panel.setLayout(self.hrv_config)
self.hlayout1.addWidget(self.hrv_panel, stretch=25)
self.pacer_config = QFormLayout()
self.pacer_config.addRow(self.pacer_label, self.pacer_rate)
self.pacer_config.addRow(self.pacer_toggle)
self.pacer_panel = QGroupBox("Breathing Pacer")
self.pacer_panel.setLayout(self.pacer_config)
self.hlayout1.addWidget(self.pacer_panel, stretch=25)
self.recording_config = QGridLayout()
self.recording_config.addWidget(self.start_recording_button, 0, 0)
self.recording_config.addWidget(self.save_recording_button, 0, 1)
self.recording_config.addWidget(self.recording_statusbar, 0, 2)
# row, column, rowspan, columnspan
self.recording_config.addWidget(self.annotation, 1, 0, 1, 2)
self.recording_config.addWidget(self.annotation_button, 1, 2)
self.recording_panel = QGroupBox("Recording")
self.recording_panel.setLayout(self.recording_config)
self.hlayout1.addWidget(self.recording_panel, stretch=25)
self.vlayout0.addLayout(self.hlayout1)
self.logger_thread.start()
self.pacer_timer.start()
def closeEvent(self, _):
"""Shut down all threads."""
print("Closing threads...")
self.sensor.disconnect_client()
self.logger_thread.quit()
self.logger_thread.wait()
def get_filepath(self):
current_time: str = datetime.now().strftime("%Y-%m-%d-%H-%M")
default_file_name: str = f"OpenHRV_{current_time}.csv"
# native file dialog not reliable on Windows (most likely COM issues)
file_path: str = QFileDialog.getSaveFileName(
None,
"Create file",
default_file_name,
options=QFileDialog.DontUseNativeDialog,
)[0]
if not file_path: # user cancelled or closed file dialog
return
if not valid_path(file_path):
self.show_status("File path is invalid or exists already.")
return
self.signals.start_recording.emit(file_path)
def connect_sensor(self):
if not self.address_menu.currentText():
return
# discard device name
address: str = self.address_menu.currentText().split(",")[1].strip()
if not valid_address(address):
print(f"Invalid sensor address: {address}.")
return
sensor: list[QBluetoothDeviceInfo] = [
s for s in self.model.sensors if get_sensor_address(s) == address
]
self.sensor.connect_client(*sensor)
def disconnect_sensor(self):
self.sensor.disconnect_client()
def plot_ibis(self, ibis: NamedSignal):
self.ibis_widget.update_series(*ibis.value)
def plot_hrv(self, hrv: NamedSignal):
self.hrv_widget.update_series(*hrv.value)
def list_addresses(self, addresses: NamedSignal):
self.address_menu.clear()
self.address_menu.addItems(addresses.value)
def plot_pacer_disk(self):
coordinates = self.pacer.update(self.model.breathing_rate)
self.pacer_widget.update_series(*coordinates)
def update_pacer_label(self, rate: NamedSignal):
self.pacer_label.setText(f"Rate: {rate.value}")
def update_hrv_target(self, target: NamedSignal):
self.hrv_widget.y_axis.setRange(0, target.value)
self.hrv_target_label.setText(f"Target: {target.value}")
def toggle_pacer(self):
visible = self.pacer_widget.isVisible()
self.pacer_widget.setVisible(not visible)
def show_recording_status(self, status: int):
"""Indicate busy state if `status` is 0."""
self.recording_statusbar.setRange(0, status)
def show_status(self, status: str, print_to_terminal=True):
self.statusbar.showMessage(status, 0)
if print_to_terminal:
print(status)
def emit_annotation(self):
self.signals.annotation.emit(
NamedSignal("Annotation", self.annotation.currentText())
)
================================================
FILE: pyproject.toml
================================================
[project]
name = "OpenHRV"
version = "1.1.0"
# Support all Python versions that are compatible with the PySide6 version.
# See compatibility matrix at https://wiki.qt.io/Qt_for_Python.
requires-python = ">= 3.9"
dependencies = ["PySide6 >= 6.10"]
[project.optional-dependencies]
dev = ["snakeviz"]
build = ["pyinstaller"]
[tool.mypy]
check_untyped_defs = true
[project.gui-scripts]
# command line entry points
openhrv = "openhrv.app:main"
================================================
FILE: test/app.py
================================================
import math
import time
import uuid
from random import randint
from PySide6.QtCore import QObject, Signal, QTimer
from openhrv.utils import get_sensor_address
class MockBluetoothMac:
def __init__(self, mac):
self._mac = mac
def toString(self):
return self._mac
class MockBluetoothUuid:
def __init__(self, uuid):
self._uuid = uuid
def toString(self):
return f"{self._uuid}"
class MockSensor:
def __init__(self):
self._mac = MockBluetoothMac(
":".join([f"{randint(0, 255):02x}" for _ in range(6)])
)
self._uuid = MockBluetoothUuid(uuid.uuid4())
self._name = "MockSensor"
def name(self):
return self._name
def address(self):
return self._mac
def deviceUuid(self):
return self._uuid
class MockSensorScanner(QObject):
sensor_update = Signal(object)
status_update = Signal(str)
def scan(self):
polar_sensors = [MockSensor() for _ in range(3)]
self.sensor_update.emit(polar_sensors)
self.status_update.emit(f"Found {len(polar_sensors)} sensor(s).")
class MockSensorClient(QObject):
ibi_update = Signal(object)
status_update = Signal(str)
def __init__(self):
super().__init__()
# Polar sensor emits a (package of) IBI(s) about every second.
# Here we "emit" / simulate IBI(s) in quicker succession in order to push the rendering.
self.mean_ibi = 900
self.timer = QTimer()
self.timer.setInterval(self.mean_ibi)
self.timer.timeout.connect(self.simulate_ibi)
def connect_client(self, sensor):
self.status_update.emit(
f"Connecting to sensor at {get_sensor_address(sensor)}."
)
self.timer.start()
def disconnect_client(self):
self.status_update.emit("Disconnecting from sensor.")
self.timer.stop()
def simulate_ibi(self):
# IBIs fluctuate at a rate of `breathing_rate`
# in a sinusoidal pattern around `mean_ibi`,
# in a range of `range_ibi`.
breathing_rate = 6
range_ibi = 100 # without noise, HRV settles at this value
ibi = self.mean_ibi + (range_ibi / 2) * math.sin(
2 * math.pi * breathing_rate / 60 * time.time()
)
# add noise spikes
if randint(1, 30) == 1:
if randint(1, 2) == 1:
ibi += 500
else:
ibi -= 500
self.ibi_update.emit(ibi)
def main():
"""Mock sensor classes.
Mock classes need to replace their mocked counterparts in namespace before
the latter are imported elsewhere:
https://stackoverflow.com/questions/3765222/monkey-patch-python-class
"""
from openhrv import sensor # noqa
sensor.SensorClient = MockSensorClient
sensor.SensorScanner = MockSensorScanner
from openhrv.app import main as mock_main # noqa
mock_main()
if __name__ == "__main__":
main()
================================================
FILE: test/profile_app.py
================================================
import cProfile
from test.app import main
import subprocess
cProfile.run("main()", "openhrv.profile")
subprocess.run(["snakeviz", "openhrv.profile"], check=True)
gitextract_tia7z7ec/
├── .devcontainer.json
├── .github/
│ └── workflows/
│ └── build.yml
├── .gitignore
├── LICENSE
├── README.md
├── changelog.md
├── docs/
│ ├── compile_resources.sh
│ ├── logo.icns
│ ├── resources.qrc
│ └── troubleshooting.md
├── openhrv/
│ ├── __init__.py
│ ├── app.py
│ ├── config.py
│ ├── logger.py
│ ├── model.py
│ ├── pacer.py
│ ├── resources.py
│ ├── sensor.py
│ ├── utils.py
│ └── view.py
├── pyproject.toml
└── test/
├── app.py
└── profile_app.py
SYMBOL INDEX (97 symbols across 10 files)
FILE: openhrv/app.py
class Application (line 7) | class Application(QApplication):
method __init__ (line 8) | def __init__(self, sys_argv):
function main (line 14) | def main():
FILE: openhrv/config.py
function tick_to_breathing_rate (line 31) | def tick_to_breathing_rate(tick: int) -> float:
function breathing_rate_to_tick (line 35) | def breathing_rate_to_tick(rate: float) -> int:
FILE: openhrv/logger.py
class Logger (line 6) | class Logger(QObject):
method __init__ (line 10) | def __init__(self):
method start_recording (line 14) | def start_recording(self, file_path: str):
method save_recording (line 23) | def save_recording(self):
method write_to_file (line 35) | def write_to_file(self, data: NamedSignal):
FILE: openhrv/model.py
class Model (line 22) | class Model(QObject):
method __init__ (line 29) | def __init__(self):
method update_ibis_buffer (line 55) | def update_ibis_buffer(self, ibi: int):
method update_breathing_rate (line 65) | def update_breathing_rate(self, breathing_tick: int):
method update_hrv_target (line 70) | def update_hrv_target(self, hrv_target: int):
method update_sensors (line 75) | def update_sensors(self, sensors: list[QBluetoothDeviceInfo]):
method validate_ibi (line 83) | def validate_ibi(self, ibi: int) -> int:
method validate_hrv (line 105) | def validate_hrv(self, hrv: int) -> int:
method compute_local_hrv (line 113) | def compute_local_hrv(self):
method update_hrv_buffer (line 134) | def update_hrv_buffer(self, local_hrv: int):
method update_ibis_seconds (line 145) | def update_ibis_seconds(self, seconds: float):
method update_hrv_seconds (line 151) | def update_hrv_seconds(self, seconds: float):
FILE: openhrv/pacer.py
class Pacer (line 6) | class Pacer(QObject):
method __init__ (line 7) | def __init__(self):
method breathing_pattern (line 16) | def breathing_pattern(self, breathing_rate: float, time: float) -> float:
method update (line 24) | def update(self, breathing_rate: float) -> tuple[list[float], list[flo...
FILE: openhrv/resources.py
function qInitResources (line 1082) | def qInitResources():
function qCleanupResources (line 1085) | def qCleanupResources():
FILE: openhrv/sensor.py
class SensorScanner (line 17) | class SensorScanner(QObject):
method __init__ (line 21) | def __init__(self):
method scan (line 27) | def scan(self):
method _handle_scan_result (line 34) | def _handle_scan_result(self):
method _handle_scan_error (line 46) | def _handle_scan_error(self, error):
class SensorClient (line 50) | class SensorClient(QObject):
method __init__ (line 62) | def __init__(self):
method _sensor_address (line 76) | def _sensor_address(self):
method connect_client (line 79) | def connect_client(self, sensor: QBluetoothDeviceInfo):
method disconnect_client (line 97) | def disconnect_client(self):
method _discover_services (line 111) | def _discover_services(self):
method _connect_hr_service (line 115) | def _connect_hr_service(self):
method _start_hr_notification (line 134) | def _start_hr_notification(self, state: QLowEnergyService.ServiceState):
method _reset_connection (line 151) | def _reset_connection(self):
method _remove_service (line 156) | def _remove_service(self):
method _remove_client (line 167) | def _remove_client(self):
method _catch_error (line 178) | def _catch_error(self, error):
method _data_handler (line 182) | def _data_handler(self, _, data: QByteArray): # _ is unused but manda...
FILE: openhrv/utils.py
function get_sensor_address (line 11) | def get_sensor_address(sensor: QBluetoothDeviceInfo) -> str:
function get_sensor_remote_address (line 23) | def get_sensor_remote_address(sensor) -> str:
function valid_address (line 35) | def valid_address(address: str) -> bool:
function valid_path (line 48) | def valid_path(path: str) -> bool:
function sign (line 63) | def sign(value: int) -> int:
FILE: openhrv/view.py
class PacerWidget (line 49) | class PacerWidget(QChartView):
method __init__ (line 50) | def __init__(
method _instantiate_series (line 87) | def _instantiate_series(self, x_values: Iterable[float], y_values: Ite...
method update_series (line 91) | def update_series(self, x_values: Iterable[float], y_values: Iterable[...
method sizeHint (line 95) | def sizeHint(self):
method resizeEvent (line 99) | def resizeEvent(self, event):
class XYSeriesWidget (line 105) | class XYSeriesWidget(QChartView):
method __init__ (line 106) | def __init__(
method _instantiate_series (line 139) | def _instantiate_series(self, x_values: Iterable[float], y_values: Ite...
method update_series (line 143) | def update_series(self, x_values: Iterable[float], y_values: Iterable[...
class ViewSignals (line 148) | class ViewSignals(QObject):
class View (line 156) | class View(QMainWindow):
method __init__ (line 157) | def __init__(self, model: Model):
method closeEvent (line 337) | def closeEvent(self, _):
method get_filepath (line 346) | def get_filepath(self):
method connect_sensor (line 363) | def connect_sensor(self):
method disconnect_sensor (line 376) | def disconnect_sensor(self):
method plot_ibis (line 379) | def plot_ibis(self, ibis: NamedSignal):
method plot_hrv (line 382) | def plot_hrv(self, hrv: NamedSignal):
method list_addresses (line 385) | def list_addresses(self, addresses: NamedSignal):
method plot_pacer_disk (line 389) | def plot_pacer_disk(self):
method update_pacer_label (line 393) | def update_pacer_label(self, rate: NamedSignal):
method update_hrv_target (line 396) | def update_hrv_target(self, target: NamedSignal):
method toggle_pacer (line 400) | def toggle_pacer(self):
method show_recording_status (line 404) | def show_recording_status(self, status: int):
method show_status (line 408) | def show_status(self, status: str, print_to_terminal=True):
method emit_annotation (line 413) | def emit_annotation(self):
FILE: test/app.py
class MockBluetoothMac (line 9) | class MockBluetoothMac:
method __init__ (line 10) | def __init__(self, mac):
method toString (line 13) | def toString(self):
class MockBluetoothUuid (line 17) | class MockBluetoothUuid:
method __init__ (line 18) | def __init__(self, uuid):
method toString (line 21) | def toString(self):
class MockSensor (line 25) | class MockSensor:
method __init__ (line 26) | def __init__(self):
method name (line 33) | def name(self):
method address (line 36) | def address(self):
method deviceUuid (line 39) | def deviceUuid(self):
class MockSensorScanner (line 43) | class MockSensorScanner(QObject):
method scan (line 47) | def scan(self):
class MockSensorClient (line 53) | class MockSensorClient(QObject):
method __init__ (line 57) | def __init__(self):
method connect_client (line 66) | def connect_client(self, sensor):
method disconnect_client (line 72) | def disconnect_client(self):
method simulate_ibi (line 76) | def simulate_ibi(self):
function main (line 94) | def main():
Condensed preview — 23 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (149K chars).
[
{
"path": ".devcontainer.json",
"chars": 798,
"preview": "// https://containers.dev/implementors/json_reference/\n{\n \"name\": \"OpenHRV\",\n \"image\": \"python:3.12\",\n \"customi"
},
{
"path": ".github/workflows/build.yml",
"chars": 1197,
"preview": "name: build\n\non:\n workflow_dispatch:\n release:\n types:\n - published\n\njobs:\n\n build:\n\n runs-on: ubuntu-24.0"
},
{
"path": ".gitignore",
"chars": 80,
"preview": ".vscode/\n__pycache__/\nmisc/\nbuild/\ndist/\n*.egg-info\n*.profile\n.DS_Store\nuv.lock\n"
},
{
"path": "LICENSE",
"chars": 26526,
"preview": " GNU LESSER GENERAL PUBLIC LICENSE\n Version 2.1, February 1999\n\n Copyright (C) 19"
},
{
"path": "README.md",
"chars": 3928,
"preview": "<img src=\"https://github.com/JanCBrammer/OpenHRV/raw/main/docs/logo.png\" width=\"125\" height=\"125\" />\r\n\r\n# OpenHRV\r\n\r\nA d"
},
{
"path": "changelog.md",
"chars": 2163,
"preview": "# Changelog\r\n\r\n### Version 1.1.1 (December 19 2025)\r\n+ enhancement: Bumped PySide6 to version 6.10.\r\n\r\n### Version 1.1.0"
},
{
"path": "docs/compile_resources.sh",
"chars": 67,
"preview": "#!/bin/bash\n\npyside6-rcc resources.qrc -o \"../openhrv/resources.py\""
},
{
"path": "docs/resources.qrc",
"chars": 112,
"preview": "<!DOCTYPE RCC><RCC version=\"1.0\">\r\n<qresource>\r\n <file alias=\"logo.png\">logo.png</file>\r\n</qresource>\r\n</RCC>"
},
{
"path": "docs/troubleshooting.md",
"chars": 2602,
"preview": "# Troubleshooting\n\nIf you have trouble connecting (or staying connected) to your Polar sensor, try (a combination of) th"
},
{
"path": "openhrv/__init__.py",
"chars": 152,
"preview": "# https://py-pkgs.org/04-package-structure\nfrom importlib.metadata import version\n\n__version__ = version(\"OpenHRV\") # r"
},
{
"path": "openhrv/app.py",
"chars": 438,
"preview": "import sys\nfrom PySide6.QtWidgets import QApplication\nfrom openhrv.view import View\nfrom openhrv.model import Model\n\n\ncl"
},
{
"path": "openhrv/config.py",
"chars": 1421,
"preview": "from typing import Final\r\nfrom math import ceil\r\n\r\n\r\nIBI_MEDIAN_WINDOW: Final[int] = 11 # samples\r\nEWMA_WEIGHT_CURRENT_"
},
{
"path": "openhrv/logger.py",
"chars": 1402,
"preview": "from datetime import datetime\nfrom PySide6.QtCore import QObject, Signal\nfrom openhrv.utils import NamedSignal\n\n\nclass L"
},
{
"path": "openhrv/model.py",
"chars": 5950,
"preview": "import statistics\r\nimport math\r\nfrom collections import deque\r\nfrom itertools import islice\r\nfrom PySide6.QtCore import "
},
{
"path": "openhrv/pacer.py",
"chars": 1310,
"preview": "import math\r\nimport time\r\nfrom PySide6.QtCore import QObject\r\n\r\n\r\nclass Pacer(QObject):\r\n def __init__(self):\r\n "
},
{
"path": "openhrv/resources.py",
"chars": 52570,
"preview": "# Resource object code (Python 3)\n# Created by: object code\n# Created by: The Resource Compiler for Qt version 6.5.0\n# W"
},
{
"path": "openhrv/sensor.py",
"chars": 9053,
"preview": "from PySide6.QtCore import QObject, Signal, QByteArray\nfrom PySide6.QtBluetooth import (\n QBluetoothDeviceDiscoveryAg"
},
{
"path": "openhrv/utils.py",
"chars": 2136,
"preview": "import re\r\nimport platform\r\nfrom pathlib import Path\r\nfrom collections import namedtuple\r\nfrom PySide6.QtBluetooth impor"
},
{
"path": "openhrv/view.py",
"chars": 16277,
"preview": "from datetime import datetime\r\nfrom PySide6.QtWidgets import (\r\n QMainWindow,\r\n QPushButton,\r\n QHBoxLayout,\r\n "
},
{
"path": "pyproject.toml",
"chars": 442,
"preview": "[project]\nname = \"OpenHRV\"\nversion = \"1.1.0\"\n# Support all Python versions that are compatible with the PySide6 version."
},
{
"path": "test/app.py",
"chars": 2981,
"preview": "import math\nimport time\nimport uuid\nfrom random import randint\nfrom PySide6.QtCore import QObject, Signal, QTimer\nfrom o"
},
{
"path": "test/profile_app.py",
"chars": 163,
"preview": "import cProfile\nfrom test.app import main\nimport subprocess\n\ncProfile.run(\"main()\", \"openhrv.profile\")\nsubprocess.run([\""
}
]
// ... and 1 more files (download for full content)
About this extraction
This page contains the full source code of the JanCBrammer/OpenHRV GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 23 files (128.7 KB), approximately 48.3k tokens, and a symbol index with 97 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.