[
  {
    "path": ".devcontainer.json",
    "content": "// https://containers.dev/implementors/json_reference/\n{\n    \"name\": \"OpenHRV\",\n    \"image\": \"python:3.12\",\n    \"customizations\": {\n        \"vscode\": {\n            \"extensions\": [\n                \"ms-python.python\",\n                \"ms-python.vscode-pylance\",\n                \"ms-python.mypy-type-checker\",\n                \"KevinRose.vsc-python-indent\",\n                \"streetsidesoftware.code-spell-checker\",\n                \"tamasfe.even-better-toml\",\n                \"eamodio.gitlens\",\n                \"GitHub.copilot\",\n                \"charliermarsh.ruff\"\n            ],\n            \"settings\": {\n                \"[python]\": {\n                    \"editor.formatOnSave\": true,\n                    \"editor.defaultFormatter\": \"charliermarsh.ruff\"\n                }\n            }\n        }\n    }\n}"
  },
  {
    "path": ".github/workflows/build.yml",
    "content": "name: build\n\non:\n  workflow_dispatch:\n  release:\n    types:\n      - published\n\njobs:\n\n  build:\n\n    runs-on: ubuntu-24.04\n\n    steps:\n\n    - uses: actions/checkout@v4\n\n    - uses: actions/setup-python@v5\n      with:\n          python-version: \"3.12\"\n\n    - name: Install dependencies\n      run: |\n          python -m pip install --upgrade pip\n          python -m pip install -e .[build]\n\n    - name: release build\n      if: github.event_name == 'release'\n      run: |\n        pyinstaller --onefile --icon=docs/logo.ico --name=OpenHRV.bin openhrv/app.py --windowed\n\n    - name: manual build\n      if: github.event_name == 'workflow_dispatch'\n      run: |\n        pyinstaller --onefile --icon=docs/logo.ico --name=OpenHRV.bin openhrv/app.py\n\n    - name: upload build artifact\n      uses: actions/upload-artifact@v4\n      with:\n        name: OpenHRV\n        path: dist/OpenHRV.bin\n\n    - name: upload build artifact to release\n      if: github.event_name == 'release'\n      env:\n        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}    # token generated implicitly\n      # See https://cli.github.com/manual/gh_release_upload.\n      run: |\n        gh release upload ${{ github.ref_name }} dist/OpenHRV.bin\n"
  },
  {
    "path": ".gitignore",
    "content": ".vscode/\n__pycache__/\nmisc/\nbuild/\ndist/\n*.egg-info\n*.profile\n.DS_Store\nuv.lock\n"
  },
  {
    "path": "LICENSE",
    "content": "                  GNU LESSER GENERAL PUBLIC LICENSE\n                       Version 2.1, February 1999\n\n Copyright (C) 1991, 1999 Free Software Foundation, Inc.\n 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA\n Everyone is permitted to copy and distribute verbatim copies\n of this license document, but changing it is not allowed.\n\n[This is the first released version of the Lesser GPL.  It also counts\n as the successor of the GNU Library Public License, version 2, hence\n the version number 2.1.]\n\n                            Preamble\n\n  The licenses for most software are designed to take away your\nfreedom to share and change it.  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  },
  {
    "path": "README.md",
    "content": "<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 desktop application for heart rate variability (HRV) biofeedback training with ECG chest straps.\r\n\r\n## Compatible sensors\r\n- Polar H7, H9, H10\r\n- Decathlon Dual HR (model ZT26D)\r\n\r\n## Installation\r\n\r\nIt is highly recommended to install the project in a virtual Python environment,\r\ne.g., using [conda](https://docs.python.org/3/library/venv.html) or\r\n[venv](https://docs.python.org/3/library/venv.html).\r\nThe required Python version is specified in\r\n[pyproject.toml](https://github.com/JanCBrammer/OpenHRV/blob/main/pyproject.toml).\r\n\r\nIn your Python environment, clone the repository, and subsequently run\r\n\r\n```\r\npip install .\r\n```\r\n\r\nin the root of the repository. Alternatively, you can skip cloning by running\r\n\r\n```\r\npip install git+https://github.com/JanCBrammer/OpenHRV.git\r\n```\r\n\r\nYou can now start the application with\r\n\r\n```\r\npython -m openhrv.app\r\n```\r\n\r\nor alternatively, with the shortcut\r\n\r\n```\r\nopenhrv\r\n```\r\nI tested `OpenHRV` on Ubuntu 24.04. It _should_ run on Windows and macOS as well, however, I haven't confirmed that myself.\r\nIf you have problems running `OpenHRV` have a look at [docs/troubleshooting.md](docs/troubleshooting.md).\r\n\r\n## Ubuntu executable\r\n\r\nOn Ubuntu, download and run [OpenHRV.bin](https://github.com/JanCBrammer/OpenHRV/releases/latest), no installation required.\r\n\r\n## User Guide\r\n\r\n### Connect your ECG sensor\r\nFirst make sure the sensor is paired with your computer\r\n(i.e., find and pair the sensor in your computer's Bluetooth settings).\r\nThen search the sensor in **OpenHRV** by clicking `Scan`. The addresses of all\r\npaired sensors show up in the drop-down menu. Select your sensor from the\r\ndrop-down menu and click `Connect` in order to establish a connection. You can\r\ndisconnect the sensor anytime by clicking `Disconnect`. Disconnecting is useful\r\nif you want to connect to another sensor, or if an error occurs with the connection.\r\nShould you have problems with the connection try disconnecting, and then reconnecting\r\nthe sensor.\r\n\r\n![connect_sensor](https://github.com/JanCBrammer/OpenHRV/raw/main/docs/connect_sensor.gif)\r\n\r\n### Set an HRV target\r\nYou can personalize the HRV target using the `Target` slider. After you've\r\nbeen training for a while you will have a good idea of what's an attainable target\r\nfor you (this can vary depending on how much sleep or coffee you had etc.). You\r\ncan adjust the target anytime if you find the current target too easy or difficult.\r\n\r\n![adjust_hrv_target](https://github.com/JanCBrammer/OpenHRV/raw/main/docs/adjust_hrv_target.gif)\r\n\r\n### Set a breathing pace\r\nThe breathing pacer can help you increase your HRV. Breathe out as the blue\r\ndisk shrinks and breathe in as it gets larger. Explore how different breathing rates\r\naffect your HRV by adjusting the `Rate` slider anytime during a session. Everyone\r\nhas a personal breathing rate at which their HRV is at its highest. Usually that\r\nrate is somewhere between 4 and 7 breaths per minute. You can also hide the pacer\r\nby unchecking the `Show pacer` box if you want to practice regulating HRV without pacing.\r\n\r\n![adjust_breathing_pacer](https://github.com/JanCBrammer/OpenHRV/raw/main/docs/adjust_breathing_pacer.gif)\r\n\r\n\r\n### Biofeedback training\r\nBelow you can watch heart rate variability (HRV) biofeedback training in action. Note\r\nhow the blue heart rate curve rises and falls. These fluctuations are the \"variability\"\r\nin HRV. Your goal is to get the fluctuations large and regular. As you get better at this,\r\nthe white HRV curve will go up. There is no \"ideal\" HRV, as in \"everyone should achieve\r\nan HRV of 500 msec\". Try to increase HRV relative to what you have achieved before\r\nand be aware that it can take a fair bit of practice to improve.\r\n\r\n![biofeedback_demo](https://github.com/JanCBrammer/OpenHRV/raw/main/docs/biofeedback_demo.gif)\r\n"
  },
  {
    "path": "changelog.md",
    "content": "# 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 (December 15 2024)\r\n+ enhancement: Computing HRV as exponentially weighted moving average (https://en.wikipedia.org/wiki/Exponential_smoothing).\r\n+ enhancement: Accepting Decathlon HR sensor (thanks S73ph4n).\r\n\r\n### Version 1.0.1 (November 30 2024)\r\n+ enhancement: Relaxed Python version constraints.\r\n+ enhancement: Bumped PySide6 to version 6.8.\r\n+ enhancement: Bumped Python to version 3.12.\r\n+ bugfix: Improved sensor UUID validation (thanks Mirkan Çalışkan (mirkancal)).\r\n\r\n### Version 1.0.0 (April 29 2024)\r\n+ enhancement: Added docs on building macOS with PyInstaller in order to deal with Bluetooth permissions (thanks cyclemaxwell).\r\n+ enhancement: Show version in GUI.\r\n+ enhancement: Removed PyQtGraph and NumPy dependencies.\r\n+ enhancement: Bumped PySide6 to version 6.7.0.\r\n+ enhancement: Bumped Python to version 3.11.\r\n\r\n### Version 0.2.0 (April 23, 2022)\r\n+ enhancement: Removed recording of Redis channels (removed Redis dependency).\r\n+ enhancement: Handling Bluetooth connection with QtBluetooth instead of bleak (removed bleak dependency).\r\n\r\n### Version 0.1.3 (January 08, 2022)\r\n+ enhancement: Improved Bluetooth connection (thanks Marc Schlaich (schlamar)).\r\n+ bugfix: No more connection attempt with empty address menu.\r\n\r\n### Version 0.1.2 (May 18, 2021)\r\n+ enhancement: Local HRV is now averaged over a fixed window of 15 seconds. Removed slider for HRV mean window size.\r\n+ enhancement: Status messages on application state are now displayed in the GUI.\r\n+ enhancement: Added recording- and Redis interface features (undocumented at time of release).\r\n+ enhancement: Rejecting some artifacts in inter-beat-intervals as well as local HRV.\r\n+ bugfix: Made validation of sensor addresses platform-specific (thanks Alexander Weuthen (alexweuthen)).\r\n\r\n### Version 0.1.1 (January 13, 2021)\r\n+ enhancement: Visibility of breathing pacer can be toggled.\r\n+ enhancement: Made range of breathing pacer rates more granular (step size .5 instead of 1).\r\n\r\n### Version 0.1.0 (January 07, 2021)\r\n+ enhancement: Initial release.\r\n"
  },
  {
    "path": "docs/compile_resources.sh",
    "content": "#!/bin/bash\n\npyside6-rcc resources.qrc -o \"../openhrv/resources.py\""
  },
  {
    "path": "docs/resources.qrc",
    "content": "<!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",
    "content": "# Troubleshooting\n\nIf you have trouble connecting (or staying connected) to your Polar sensor, try (a combination of) the following:\n- Turn Bluetooth off and on again.\n- Un-pair and re-pair the sensor.\n- Reset the sensor (https://support.polar.com/en/support/how_to_reset_my_heart_rate_sensor).\n\n## Linux\nYou might have to install (some of) the dependencies for connecting to the X11 server:\n- https://doc.qt.io/qt-6/linux-requirements.html\n- https://doc.qt.io/qt-6/linux.html\n\n## Windows\n`OpenHRV` has been tested on Windows 10, but there seem to be Bluetooth problems on Windows 11.\nHave a look at the issues (open and closed) labeled with `Windows`.\n\n## MacOS\n:warning: Those instructions aren't verified for releases > [0.2.0](https://github.com/JanCBrammer/OpenHRV/releases/tag/v0.2.0) :warning:\n\nClone the repository and run `pyinstaller mac_os_app.spec --clean --noconfirm` from the project root\nin a Python environment that contains the dependencies specified in \n[pyproject.toml](https://github.com/JanCBrammer/OpenHRV/blob/main/pyproject.toml) (including `build` dependencies).\nThe `mac_os_app.spec` file should look as follows:\n\n```\n# -*- mode: python ; coding: utf-8 -*-\n\nblock_cipher = None\n\na = Analysis(\n    [\"openhrv/app.py\"],\n    pathex=[\"./openhrv\"],\n    binaries=[],\n    datas=[],\n    hiddenimports=[],\n    hookspath=[],\n    hooksconfig={},\n    runtime_hooks=[],\n    excludes=[],\n    win_no_prefer_redirects=False,\n    win_private_assemblies=False,\n    cipher=block_cipher,\n    noarchive=False,\n)\npyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)\n\nexe = EXE(\n    pyz,\n    a.scripts,\n    [],\n    exclude_binaries=True,\n    name=\"app\",\n    debug=False,\n    bootloader_ignore_signals=False,\n    strip=False,\n    upx=True,\n    console=False,\n    disable_windowed_traceback=False,\n    argv_emulation=False,\n    target_arch=None,\n    codesign_identity=None,\n    entitlements_file=None,\n)\ncoll = COLLECT(\n    exe,\n    a.binaries,\n    a.zipfiles,\n    a.datas,\n    strip=False,\n    upx=True,\n    upx_exclude=[],\n    name=\"app\",\n)\napp = BUNDLE(\n    coll,\n    name=\"openhrv.app\",\n    icon=\"docs/logo.icns\",\n    bundle_identifier=None,\n    info_plist={\n        \"NSBluetoothAlwaysUsageDescription\": \"This application uses a bluetooth sensor\"\n    },\n)\n```\n\nA macOS app bundle will be created at `OpenHRV/dist/openhrv.app`.\nThis can be loaded directly by clicking on it, or if you wish to see terminal debug messages,\nyou can execute from the project root `./dist/openhrv.app/Contents/MacOS/app`.\nThe first run takes extra time.\n\nAlso look at the issues (open and closed) labeled with `macOS`.\n"
  },
  {
    "path": "openhrv/__init__.py",
    "content": "# https://py-pkgs.org/04-package-structure\nfrom importlib.metadata import version\n\n__version__ = version(\"OpenHRV\")  # read version from pyproject.toml\n"
  },
  {
    "path": "openhrv/app.py",
    "content": "import sys\nfrom PySide6.QtWidgets import QApplication\nfrom openhrv.view import View\nfrom openhrv.model import Model\n\n\nclass Application(QApplication):\n    def __init__(self, sys_argv):\n        super(Application, self).__init__(sys_argv)\n        self._model = Model()\n        self._view = View(self._model)\n\n\ndef main():\n    app = Application(sys.argv)\n    app._view.show()\n    sys.exit(app.exec())\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "openhrv/config.py",
    "content": "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_SAMPLE: Final[float] = (\r\n    0.1  # set in range [0, 1], 1 being minimal smoothing, see https://en.wikipedia.org/wiki/Exponential_smoothing\r\n)\r\n\r\nMIN_BREATHING_RATE: Final[float] = 4.0  # breaths per minute\r\nMAX_BREATHING_RATE: Final[float] = 7.0  # breaths per minute\r\nMIN_HRV_TARGET: Final[int] = 50\r\nMAX_HRV_TARGET: Final[int] = 600\r\nmin_heart_rate = 30\r\nmax_heart_rate = 220\r\nMIN_IBI: Final[int] = ceil(60_000 / max_heart_rate)\r\nMAX_IBI: Final[int] = ceil(60_000 / min_heart_rate)\r\nMIN_PLOT_IBI: Final[int] = 300\r\nMAX_PLOT_IBI: Final[int] = 1500\r\n\r\n# IBI buffer must hold enough samples such that even if IBIs (on average) were\r\n# MIN_IBI long, there'd be enough samples to display for IBI_HISTORY_DURATION seconds.\r\nIBI_HISTORY_DURATION: Final[int] = 60  # seconds\r\nIBI_BUFFER_SIZE: Final[int] = ceil(IBI_HISTORY_DURATION / (MIN_IBI / 1000))  # samples\r\nHRV_HISTORY_DURATION: Final[int] = 120  # seconds\r\nHRV_BUFFER_SIZE: Final[int] = ceil(HRV_HISTORY_DURATION / (MIN_IBI / 1000))  # samples\r\n\r\nCOMPATIBLE_SENSORS: Final[list[str]] = [\"Polar\", \"Decathlon Dual HR\"]\r\n\r\n\r\ndef tick_to_breathing_rate(tick: int) -> float:\r\n    return (tick + 8) / 2  # scale tick to [4, 7], step .5\r\n\r\n\r\ndef breathing_rate_to_tick(rate: float) -> int:\r\n    return ceil(rate * 2 - 8)  # scale rate to [0, 6], step 1\r\n"
  },
  {
    "path": "openhrv/logger.py",
    "content": "from datetime import datetime\nfrom PySide6.QtCore import QObject, Signal\nfrom openhrv.utils import NamedSignal\n\n\nclass Logger(QObject):\n    recording_status = Signal(int)\n    status_update = Signal(str)\n\n    def __init__(self):\n        super().__init__()\n        self.file = None\n\n    def start_recording(self, file_path: str):\n        if self.file:\n            self.status_update.emit(f\"Already writing to a file at {self.file.name}.\")\n            return  # only write to one file at a time\n        self.file = open(file_path, \"a+\")\n        self.file.write(\"event,value,timestamp\\n\")  # header\n        self.recording_status.emit(0)\n        self.status_update.emit(f\"Started recording to {self.file.name}.\")\n\n    def save_recording(self):\n        \"\"\"Called when:\n        1. User saves recording.\n        2. User closes app while recording\n        \"\"\"\n        if not self.file:\n            return\n        self.file.close()\n        self.recording_status.emit(1)\n        self.status_update.emit(f\"Saved recording at {self.file.name}.\")\n        self.file = None\n\n    def write_to_file(self, data: NamedSignal):\n        if not self.file:\n            return\n        key, val = data\n        if isinstance(val, list):\n            val = val[-1]\n        if isinstance(val, tuple):\n            val = val[-1][-1]\n        timestamp = datetime.now().isoformat()\n        self.file.write(f\"{key},{val},{timestamp}\\n\")\n"
  },
  {
    "path": "openhrv/model.py",
    "content": "import statistics\r\nimport math\r\nfrom collections import deque\r\nfrom itertools import islice\r\nfrom PySide6.QtCore import QObject, Signal, Slot\r\nfrom PySide6.QtBluetooth import QBluetoothDeviceInfo\r\nfrom openhrv.utils import get_sensor_address, sign, NamedSignal\r\nfrom openhrv.config import (\r\n    tick_to_breathing_rate,\r\n    HRV_BUFFER_SIZE,\r\n    IBI_BUFFER_SIZE,\r\n    MAX_BREATHING_RATE,\r\n    MIN_IBI,\r\n    MAX_IBI,\r\n    IBI_MEDIAN_WINDOW,\r\n    MIN_HRV_TARGET,\r\n    MAX_HRV_TARGET,\r\n    EWMA_WEIGHT_CURRENT_SAMPLE,\r\n)\r\n\r\n\r\nclass Model(QObject):\r\n    ibis_buffer_update = Signal(NamedSignal)\r\n    hrv_update = Signal(NamedSignal)\r\n    addresses_update = Signal(NamedSignal)\r\n    pacer_rate_update = Signal(NamedSignal)\r\n    hrv_target_update = Signal(NamedSignal)\r\n\r\n    def __init__(self):\r\n        super().__init__()\r\n        # Once a bounded length deque is full, when new items are added,\r\n        # a corresponding number of items are discarded from the opposite end.\r\n        self.ibis_buffer: deque[int] = deque([1000] * IBI_BUFFER_SIZE, IBI_BUFFER_SIZE)\r\n        self.ibis_seconds: deque[float] = deque(\r\n            map(float, range(-IBI_BUFFER_SIZE, 1)), IBI_BUFFER_SIZE\r\n        )\r\n        self.hrv_buffer: deque[float] = deque([-1] * HRV_BUFFER_SIZE, HRV_BUFFER_SIZE)\r\n        self.hrv_seconds: deque[float] = deque(\r\n            map(float, range(-HRV_BUFFER_SIZE, 1)), HRV_BUFFER_SIZE\r\n        )\r\n\r\n        # Exponentially Weighted Moving Average:\r\n        # - https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average\r\n        # - https://en.wikipedia.org/wiki/Exponential_smoothing\r\n        # - http://nestedsoftware.com/2018/04/04/exponential-moving-average-on-streaming-data-4hhl.24876.html\r\n        self.ewma_hrv: float = 1.0\r\n        self.sensors: list[QBluetoothDeviceInfo] = []\r\n        self.breathing_rate: float = float(MAX_BREATHING_RATE)\r\n        self.hrv_target: int = math.ceil((MIN_HRV_TARGET + MAX_HRV_TARGET) / 2)\r\n        self._last_ibi_phase: int = -1\r\n        self._last_ibi_extreme: int = 0\r\n        self._duration_current_phase: int = 0\r\n\r\n    @Slot(int)\r\n    def update_ibis_buffer(self, ibi: int):\r\n        validated_ibi = self.validate_ibi(ibi)\r\n        self.update_ibis_seconds(validated_ibi / 1000)\r\n        self.ibis_buffer.append(validated_ibi)\r\n        self.ibis_buffer_update.emit(\r\n            NamedSignal(\"InterBeatInterval\", (self.ibis_seconds, self.ibis_buffer))\r\n        )\r\n        self.compute_local_hrv()\r\n\r\n    @Slot(int)\r\n    def update_breathing_rate(self, breathing_tick: int):\r\n        self.breathing_rate = tick_to_breathing_rate(breathing_tick)\r\n        self.pacer_rate_update.emit(NamedSignal(\"PacerRate\", self.breathing_rate))\r\n\r\n    @Slot(int)\r\n    def update_hrv_target(self, hrv_target: int):\r\n        self.hrv_target = hrv_target\r\n        self.hrv_target_update.emit(NamedSignal(\"HrvTarget\", hrv_target))\r\n\r\n    @Slot(object)\r\n    def update_sensors(self, sensors: list[QBluetoothDeviceInfo]):\r\n        self.sensors = sensors\r\n        self.addresses_update.emit(\r\n            NamedSignal(\r\n                \"Sensors\", [f\"{s.name()}, {get_sensor_address(s)}\" for s in sensors]\r\n            )\r\n        )\r\n\r\n    def validate_ibi(self, ibi: int) -> int:\r\n        validated_ibi: int = ibi\r\n        if ibi < MIN_IBI or ibi > MAX_IBI:\r\n            median_ibi: int = math.ceil(\r\n                statistics.median(\r\n                    islice(\r\n                        self.ibis_buffer,\r\n                        len(self.ibis_buffer) - IBI_MEDIAN_WINDOW,\r\n                        None,\r\n                    )\r\n                )\r\n            )\r\n            if median_ibi < MIN_IBI:\r\n                validated_ibi = MIN_IBI\r\n            elif median_ibi > MAX_IBI:\r\n                validated_ibi = MAX_IBI\r\n            else:\r\n                validated_ibi = median_ibi\r\n            print(f\"Correcting outlier IBI {ibi} to {validated_ibi}\")\r\n\r\n        return validated_ibi\r\n\r\n    def validate_hrv(self, hrv: int) -> int:\r\n        validated_hrv: int = hrv\r\n        if hrv > MAX_HRV_TARGET:\r\n            validated_hrv = min(math.ceil(self.ewma_hrv), MAX_HRV_TARGET)\r\n            print(f\"Correcting outlier HRV {hrv} to {validated_hrv}\")\r\n\r\n        return validated_hrv\r\n\r\n    def compute_local_hrv(self):\r\n        \"\"\"https://doi.org/10.1038/s41598-019-44201-7 (Figure 2)\"\"\"\r\n        self._duration_current_phase += self.ibis_buffer[-1]\r\n        # 1: IBI rises, -1: IBI falls, 0: IBI constant\r\n        current_ibi_phase: int = sign(self.ibis_buffer[-1] - self.ibis_buffer[-2])\r\n        if current_ibi_phase == 0:\r\n            return\r\n        if current_ibi_phase == self._last_ibi_phase:\r\n            return\r\n\r\n        current_ibi_extreme: int = self.ibis_buffer[-2]\r\n        local_hrv: int = abs(self._last_ibi_extreme - current_ibi_extreme)\r\n        self.update_hrv_buffer(local_hrv)\r\n\r\n        seconds_current_phase: float = self._duration_current_phase / 1000\r\n        self.update_hrv_seconds(seconds_current_phase)\r\n        self._duration_current_phase = 0\r\n\r\n        self._last_ibi_extreme = current_ibi_extreme\r\n        self._last_ibi_phase = current_ibi_phase\r\n\r\n    def update_hrv_buffer(self, local_hrv: int):\r\n        self.ewma_hrv = (\r\n            EWMA_WEIGHT_CURRENT_SAMPLE * self.validate_hrv(local_hrv)\r\n            + (1 - EWMA_WEIGHT_CURRENT_SAMPLE) * self.ewma_hrv\r\n        )\r\n\r\n        self.hrv_buffer.append(self.ewma_hrv)\r\n        self.hrv_update.emit(\r\n            NamedSignal(\"HeartRateVariability\", (self.hrv_seconds, self.hrv_buffer))\r\n        )\r\n\r\n    def update_ibis_seconds(self, seconds: float):\r\n        self.ibis_seconds = deque(\r\n            [i - seconds for i in self.ibis_seconds], IBI_BUFFER_SIZE\r\n        )\r\n        self.ibis_seconds.append(0.0)\r\n\r\n    def update_hrv_seconds(self, seconds: float):\r\n        self.hrv_seconds = deque(\r\n            [i - seconds for i in self.hrv_seconds], HRV_BUFFER_SIZE\r\n        )\r\n        self.hrv_seconds.append(0.0)\r\n"
  },
  {
    "path": "openhrv/pacer.py",
    "content": "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        super().__init__()\r\n\r\n        n_samples: int = 40\r\n        increment: float = 2 * math.pi / n_samples\r\n        theta: list[float] = [i * increment for i in range(n_samples + 1)]\r\n        self.cos_theta: list[float] = list(map(math.cos, theta))\r\n        self.sin_theta: list[float] = list(map(math.sin, theta))\r\n\r\n    def breathing_pattern(self, breathing_rate: float, time: float) -> float:\r\n        \"\"\"Returns radius of pacer disk.\r\n\r\n        Radius is modulated according to sinusoidal breathing pattern\r\n        and scaled between 0 and 1.\r\n        \"\"\"\r\n        return 0.5 + 0.5 * math.sin(2 * math.pi * breathing_rate / 60 * time)\r\n\r\n    def update(self, breathing_rate: float) -> tuple[list[float], list[float]]:\r\n        \"\"\"Update radius of pacer disc.\r\n\r\n        Make current disk radius a function of real time (i.e., don't\r\n        precompute radii with fixed time interval) in order to compensate for\r\n        jitter or delay in QTimer calls.\r\n        \"\"\"\r\n        radius = self.breathing_pattern(breathing_rate, time.time())\r\n        x: list[float] = [i * radius for i in self.cos_theta]\r\n        y: list[float] = [i * radius for i in self.sin_theta]\r\n\r\n        return (x, y)\r\n"
  },
  {
    "path": "openhrv/resources.py",
    "content": "# Resource object code (Python 3)\n# Created by: object code\n# Created by: The Resource Compiler for Qt version 6.5.0\n# WARNING! All changes made in this file will be lost!\n\nfrom PySide6 import QtCore\n\nqt_resource_data = b\"\\\n\\x00\\x00A\\xe9\\\n\\x89\\\nPNG\\x0d\\x0a\\x1a\\x0a\\x00\\x00\\x00\\x0dIHDR\\x00\\\n\\x00\\x02Z\\x00\\x00\\x02Z\\x08\\x06\\x00\\x00\\x00\\xf7[\\xe9\\xea\\\n\\x00\\x00\\x00\\x01sRGB\\x00\\xae\\xce\\x1c\\xe9\\x00\\x00\\x00\\\n\\x04gAMA\\x00\\x00\\xb1\\x8f\\x0b\\xfca\\x05\\x00\\x00\\x00\\\n\\x09pHYs\\x00\\x00\\x0e\\xc3\\x00\\x00\\x0e\\xc3\\x01\\xc7o\\\n\\xa8d\\x00\\x00A~IDATx^\\xed\\xdd\\x07\\xb8\\\nuEy\\xf6q\\xf2\\x01/\\xbd\\xf7&\\xd2\\x9b4\\xe9E\\\nP\\xa4\\x0a\\x88\\x02Vl\\xa0\\x09\\x1a\\x93hb\\x8c\\xc6n\\\n\\x22\\x9a\\x80\\x1a\\xb1\\x80F\\x05Q\\xd4\\xa0\\x02\\xa2 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= b\"\\\n\\x00\\x08\\\n\\x05\\xe2Y'\\\n\\x00l\\\n\\x00o\\x00g\\x00o\\x00.\\x00p\\x00n\\x00g\\\n\"\n\nqt_resource_struct = b\"\\\n\\x00\\x00\\x00\\x00\\x00\\x02\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x01\\\n\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\\n\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x00\\\n\\x00\\x00\\x01\\x8a\\xb8SU\\xab\\\n\"\n\ndef qInitResources():\n    QtCore.qRegisterResourceData(0x03, qt_resource_struct, qt_resource_name, qt_resource_data)\n\ndef qCleanupResources():\n    QtCore.qUnregisterResourceData(0x03, qt_resource_struct, qt_resource_name, qt_resource_data)\n\nqInitResources()\n"
  },
  {
    "path": "openhrv/sensor.py",
    "content": "from PySide6.QtCore import QObject, Signal, QByteArray\nfrom PySide6.QtBluetooth import (\n    QBluetoothDeviceDiscoveryAgent,\n    QLowEnergyController,\n    QLowEnergyService,\n    QLowEnergyCharacteristic,\n    QBluetoothUuid,\n    QBluetoothDeviceInfo,\n    QLowEnergyDescriptor,\n)\nfrom math import ceil\nfrom typing import Union\nfrom openhrv.utils import get_sensor_address, get_sensor_remote_address\nfrom openhrv.config import COMPATIBLE_SENSORS\n\n\nclass SensorScanner(QObject):\n    sensor_update = Signal(object)\n    status_update = Signal(str)\n\n    def __init__(self):\n        super().__init__()\n        self.scanner = QBluetoothDeviceDiscoveryAgent()\n        self.scanner.finished.connect(self._handle_scan_result)\n        self.scanner.errorOccurred.connect(self._handle_scan_error)\n\n    def scan(self):\n        if self.scanner.isActive():\n            self.status_update.emit(\"Already searching for sensors.\")\n            return\n        self.status_update.emit(\"Searching for sensors (this might take a while).\")\n        self.scanner.start()\n\n    def _handle_scan_result(self):\n        sensors: list[QBluetoothDeviceInfo] = [\n            d\n            for d in self.scanner.discoveredDevices()\n            if (any(cs in d.name() for cs in COMPATIBLE_SENSORS)) and (d.rssi() <= 0)\n        ]  # https://www.mokoblue.com/measures-of-bluetooth-rssi/\n        if not sensors:\n            self.status_update.emit(\"Couldn't find sensors.\")\n            return\n        self.sensor_update.emit(sensors)\n        self.status_update.emit(f\"Found {len(sensors)} sensor(s).\")\n\n    def _handle_scan_error(self, error):\n        print(error)\n\n\nclass SensorClient(QObject):\n    \"\"\"\n    Connect to an ECG sensor that acts as a Bluetooth server / peripheral.\n    On Windows, the sensor must already be paired with the machine running\n    OpenHRV. Pairing isn't implemented in Qt6.\n\n    In Qt terminology client=central, server=peripheral.\n    \"\"\"\n\n    ibi_update = Signal(object)\n    status_update = Signal(str)\n\n    def __init__(self):\n        super().__init__()\n        self.client: Union[None, QLowEnergyController] = None\n        self.hr_service: Union[None, QLowEnergyService] = None\n        self.hr_notification: Union[None, QLowEnergyDescriptor] = None\n        self.ENABLE_NOTIFICATION: QByteArray = QByteArray.fromHex(b\"0100\")\n        self.DISABLE_NOTIFICATION: QByteArray = QByteArray.fromHex(b\"0000\")\n        self.HR_SERVICE: QBluetoothUuid.ServiceClassUuid = (\n            QBluetoothUuid.ServiceClassUuid.HeartRate\n        )\n        self.HR_CHARACTERISTIC: QBluetoothUuid.CharacteristicType = (\n            QBluetoothUuid.CharacteristicType.HeartRateMeasurement\n        )\n\n    def _sensor_address(self):\n        return get_sensor_remote_address(self.client)\n\n    def connect_client(self, sensor: QBluetoothDeviceInfo):\n        if self.client is not None:\n            msg = (\n                f\"Currently connected to sensor at {self._sensor_address()}.\"\n                \" Please disconnect before (re-)connecting to (another) sensor.\"\n            )\n            self.status_update.emit(msg)\n            return\n        self.status_update.emit(\n            f\"Connecting to sensor at {get_sensor_address(sensor)} (this might take a while).\"\n        )\n        self.client = QLowEnergyController.createCentral(sensor)\n        self.client.errorOccurred.connect(self._catch_error)\n        self.client.connected.connect(self._discover_services)\n        self.client.discoveryFinished.connect(self._connect_hr_service)\n        self.client.disconnected.connect(self._reset_connection)\n        self.client.connectToDevice()\n\n    def disconnect_client(self):\n        if self.hr_notification is not None and self.hr_service is not None:\n            if not self.hr_notification.isValid():\n                return\n            print(\"Unsubscribing from HR service.\")\n            self.hr_service.writeDescriptor(\n                self.hr_notification, self.DISABLE_NOTIFICATION\n            )\n        if self.client is not None:\n            self.status_update.emit(\n                f\"Disconnecting from sensor at {self._sensor_address()}.\"\n            )\n            self.client.disconnectFromDevice()\n\n    def _discover_services(self):\n        if self.client is not None:\n            self.client.discoverServices()\n\n    def _connect_hr_service(self):\n        if self.client is None:\n            return\n        hr_service: list[QBluetoothUuid] = [\n            s for s in self.client.services() if s == self.HR_SERVICE\n        ]\n        if not hr_service:\n            print(f\"Couldn't find HR service on {self._sensor_address()}.\")\n            return\n        self.hr_service = self.client.createServiceObject(hr_service[0])\n        if not self.hr_service:\n            print(\n                f\"Couldn't establish connection to HR service on {self._sensor_address()}.\"\n            )\n            return\n        self.hr_service.stateChanged.connect(self._start_hr_notification)\n        self.hr_service.characteristicChanged.connect(self._data_handler)\n        self.hr_service.discoverDetails()\n\n    def _start_hr_notification(self, state: QLowEnergyService.ServiceState):\n        if state != QLowEnergyService.RemoteServiceDiscovered:\n            return\n        if self.hr_service is None:\n            return\n        hr_char: QLowEnergyCharacteristic = self.hr_service.characteristic(\n            self.HR_CHARACTERISTIC\n        )\n        if not hr_char.isValid():\n            print(f\"Couldn't find HR characterictic on {self._sensor_address()}.\")\n        self.hr_notification = hr_char.descriptor(\n            QBluetoothUuid.DescriptorType.ClientCharacteristicConfiguration\n        )\n        if not self.hr_notification.isValid():\n            print(\"HR characteristic is invalid.\")\n        self.hr_service.writeDescriptor(self.hr_notification, self.ENABLE_NOTIFICATION)\n\n    def _reset_connection(self):\n        print(f\"Discarding sensor at {self._sensor_address()}.\")\n        self._remove_service()\n        self._remove_client()\n\n    def _remove_service(self):\n        if self.hr_service is None:\n            return\n        try:\n            self.hr_service.deleteLater()\n        except Exception as e:\n            print(f\"Couldn't remove service: {e}\")\n        finally:\n            self.hr_service = None\n            self.hr_notification = None\n\n    def _remove_client(self):\n        if self.client is None:\n            return\n        try:\n            self.client.disconnected.disconnect()\n            self.client.deleteLater()\n        except Exception as e:\n            print(f\"Couldn't remove client: {e}\")\n        finally:\n            self.client = None\n\n    def _catch_error(self, error):\n        self.status_update.emit(f\"An error occurred: {error}. Disconnecting sensor.\")\n        self._reset_connection()\n\n    def _data_handler(self, _, data: QByteArray):  # _ is unused but mandatory argument\n        \"\"\"\n        `data` is formatted according to the\n        \"GATT Characteristic and Object Type 0x2A37 Heart Rate Measurement\"\n        which is one of the three characteristics included in the\n        \"GATT Service 0x180D Heart Rate\".\n\n        `data` can include the following bytes:\n        - flags\n            Always present.\n            - bit 0: HR format (uint8 vs. uint16)\n            - bit 1, 2: sensor contact status\n            - bit 3: energy expenditure status\n            - bit 4: RR interval status\n        - HR\n            Encoded by one or two bytes depending on flags/bit0. One byte is\n            always present (uint8). Two bytes (uint16) are necessary to\n            represent HR > 255.\n        - energy expenditure\n            Encoded by 2 bytes. Only present if flags/bit3.\n        - inter-beat-intervals (IBIs)\n            One IBI is encoded by 2 consecutive bytes. Up to 18 bytes depending\n            on presence of uint16 HR format and energy expenditure.\n        \"\"\"\n        heart_rate_measurement_bytes: bytes = data.data()\n\n        byte0: int = heart_rate_measurement_bytes[0]\n        uint8_format: bool = (byte0 & 1) == 0\n        energy_expenditure: bool = ((byte0 >> 3) & 1) == 1\n        rr_interval: bool = ((byte0 >> 4) & 1) == 1\n\n        if not rr_interval:\n            return\n\n        first_rr_byte: int = 2\n        if uint8_format:\n            # hr = data[1]\n            pass\n        else:\n            # hr = (data[2] << 8) | data[1] # uint16\n            first_rr_byte += 1\n        if energy_expenditure:\n            # ee = (data[first_rr_byte + 1] << 8) | data[first_rr_byte]\n            first_rr_byte += 2\n\n        for i in range(first_rr_byte, len(heart_rate_measurement_bytes), 2):\n            ibi: int = (\n                heart_rate_measurement_bytes[i + 1] << 8\n            ) | heart_rate_measurement_bytes[i]\n            # Polar H7, H9, and H10 record IBIs in 1/1024 seconds format.\n            # Convert 1/1024 sec format to milliseconds.\n            # TODO: move conversion to model and only convert if sensor doesn't\n            # transmit data in milliseconds.\n            ibi = ceil(ibi / 1024 * 1000)\n            self.ibi_update.emit(ibi)\n"
  },
  {
    "path": "openhrv/utils.py",
    "content": "import re\r\nimport platform\r\nfrom pathlib import Path\r\nfrom collections import namedtuple\r\nfrom PySide6.QtBluetooth import QBluetoothDeviceInfo\r\n\r\n\r\nNamedSignal = namedtuple(\"NamedSignal\", \"name value\")\r\n\r\n\r\ndef get_sensor_address(sensor: QBluetoothDeviceInfo) -> str:\r\n    \"\"\"Return MAC (Windows, Linux) or UUID (macOS).\"\"\"\r\n    system = platform.system()\r\n    sensor_address = \"\"\r\n    if system in [\"Linux\", \"Windows\"]:\r\n        sensor_address = sensor.address().toString()\r\n    elif system == \"Darwin\":\r\n        sensor_address = sensor.deviceUuid().toString().strip(\"{}\")\r\n\r\n    return sensor_address\r\n\r\n\r\ndef get_sensor_remote_address(sensor) -> str:\r\n    \"\"\"Return MAC (Windows, Linux) or UUID (macOS).\"\"\"\r\n    system = platform.system()\r\n    sensor_remote_address = \"\"\r\n    if system in [\"Linux\", \"Windows\"]:\r\n        sensor_remote_address = sensor.remoteAddress().toString()\r\n    elif system == \"Darwin\":\r\n        sensor_remote_address = sensor.remoteDeviceUuid().toString().strip(\"{}\")\r\n\r\n    return sensor_remote_address\r\n\r\n\r\ndef valid_address(address: str) -> bool:\r\n    \"\"\"Make sure that MAC (Windows, Linux) or UUID (macOS) is valid.\"\"\"\r\n    system = platform.system()\r\n    regex = \"\"\r\n    if system in [\"Linux\", \"Windows\"]:\r\n        regex = r\"[0-9a-f]{2}([-:]?)[0-9a-f]{2}(\\1[0-9a-f]{2}){4}$\"\r\n    elif system == \"Darwin\":\r\n        # Allow for any valid UUID\r\n        regex = r\"[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$\"\r\n\r\n    return bool(re.compile(regex, re.IGNORECASE).match(address))\r\n\r\n\r\ndef valid_path(path: str) -> bool:\r\n    \"\"\"Make sure that path is valid by OS standards and that a file doesn't\r\n    exist on that path already. No builtin solution for this atm.\"\"\"\r\n    valid = False\r\n    test_path = Path(path)\r\n    try:\r\n        test_path.touch(exist_ok=False)  # create file\r\n        test_path.unlink()  # remove file (only called if file doesn't exist)\r\n        valid = True\r\n    except OSError:  # path exists or is invalid\r\n        pass\r\n\r\n    return valid\r\n\r\n\r\ndef sign(value: int) -> int:\r\n    if value > 0:\r\n        return 1\r\n    elif value < 0:\r\n        return -1\r\n    return value\r\n"
  },
  {
    "path": "openhrv/view.py",
    "content": "from datetime import datetime\r\nfrom PySide6.QtWidgets import (\r\n    QMainWindow,\r\n    QPushButton,\r\n    QHBoxLayout,\r\n    QVBoxLayout,\r\n    QWidget,\r\n    QLabel,\r\n    QComboBox,\r\n    QSlider,\r\n    QGroupBox,\r\n    QFormLayout,\r\n    QCheckBox,\r\n    QFileDialog,\r\n    QProgressBar,\r\n    QGridLayout,\r\n    QSizePolicy,\r\n)\r\nfrom PySide6.QtCore import Qt, QThread, Signal, QObject, QTimer, QMargins, QSize\r\nfrom PySide6.QtGui import QIcon, QLinearGradient, QBrush, QGradient, QColor\r\nfrom PySide6.QtCharts import QChartView, QChart, QSplineSeries, QValueAxis, QAreaSeries\r\nfrom PySide6.QtBluetooth import QBluetoothDeviceInfo\r\nfrom typing import Iterable\r\nfrom openhrv.utils import valid_address, valid_path, get_sensor_address, NamedSignal\r\nfrom openhrv.sensor import SensorScanner, SensorClient\r\nfrom openhrv.logger import Logger\r\nfrom openhrv.pacer import Pacer\r\nfrom openhrv.model import Model\r\nfrom openhrv.config import (\r\n    breathing_rate_to_tick,\r\n    HRV_HISTORY_DURATION,\r\n    IBI_HISTORY_DURATION,\r\n    MAX_BREATHING_RATE,\r\n    MIN_BREATHING_RATE,\r\n    MIN_HRV_TARGET,\r\n    MAX_HRV_TARGET,\r\n    MIN_PLOT_IBI,\r\n    MAX_PLOT_IBI,\r\n)\r\nfrom openhrv import __version__ as version, resources  # noqa\r\n\r\nBLUE = QColor(135, 206, 250)\r\nWHITE = QColor(255, 255, 255)\r\nGREEN = QColor(0, 255, 0)\r\nYELLOW = QColor(255, 255, 0)\r\nRED = QColor(255, 0, 0)\r\n\r\n\r\nclass PacerWidget(QChartView):\r\n    def __init__(\r\n        self, x_values: Iterable[float], y_values: Iterable[float], color: QColor = BLUE\r\n    ):\r\n        super().__init__()\r\n\r\n        self.setSizePolicy(\r\n            QSizePolicy(\r\n                QSizePolicy.Fixed,  # enforce self.sizeHint by fixing horizontal (width) policy\r\n                QSizePolicy.Preferred,\r\n            )\r\n        )\r\n\r\n        self.plot = QChart()\r\n        self.plot.legend().setVisible(False)\r\n        self.plot.setBackgroundRoundness(0)\r\n        self.plot.setMargins(QMargins(0, 0, 0, 0))\r\n\r\n        self.disc_circumference_coord = QSplineSeries()\r\n        self._instantiate_series(x_values, y_values)\r\n        self.disk = QAreaSeries(self.disc_circumference_coord)\r\n        self.disk.setColor(color)\r\n        self.plot.addSeries(self.disk)\r\n\r\n        self.x_axis = QValueAxis()\r\n        self.x_axis.setRange(-1, 1)\r\n        self.x_axis.setVisible(False)\r\n        self.plot.addAxis(self.x_axis, Qt.AlignBottom)\r\n        self.disk.attachAxis(self.x_axis)\r\n\r\n        self.y_axis = QValueAxis()\r\n        self.y_axis.setRange(-1, 1)\r\n        self.y_axis.setVisible(False)\r\n        self.plot.addAxis(self.y_axis, Qt.AlignLeft)\r\n        self.disk.attachAxis(self.y_axis)\r\n\r\n        self.setChart(self.plot)\r\n\r\n    def _instantiate_series(self, x_values: Iterable[float], y_values: Iterable[float]):\r\n        for x, y in zip(x_values, y_values):\r\n            self.disc_circumference_coord.append(x, y)\r\n\r\n    def update_series(self, x_values: Iterable[float], y_values: Iterable[float]):\r\n        for i, (x, y) in enumerate(zip(x_values, y_values)):\r\n            self.disc_circumference_coord.replace(i, x, y)\r\n\r\n    def sizeHint(self):\r\n        height = self.size().height()\r\n        return QSize(height, height)  # force square aspect ratio\r\n\r\n    def resizeEvent(self, event):\r\n        if self.size().width() != self.size().height():\r\n            self.updateGeometry()  # adjusts geometry based on sizeHint\r\n        return super().resizeEvent(event)\r\n\r\n\r\nclass XYSeriesWidget(QChartView):\r\n    def __init__(\r\n        self,\r\n        x_values: Iterable[float],\r\n        y_values: Iterable[float],\r\n        line_color: QColor = BLUE,\r\n    ):\r\n        super().__init__()\r\n\r\n        self.plot = QChart()\r\n        self.plot.legend().setVisible(False)\r\n        self.plot.setBackgroundRoundness(0)\r\n        self.plot.setMargins(QMargins(0, 0, 0, 0))\r\n\r\n        self.time_series = QSplineSeries()\r\n        self.plot.addSeries(self.time_series)\r\n        pen = self.time_series.pen()\r\n        pen.setWidth(4)\r\n        pen.setColor(line_color)\r\n        self.time_series.setPen(pen)\r\n        self._instantiate_series(x_values, y_values)\r\n\r\n        self.x_axis = QValueAxis()\r\n        self.x_axis.setLabelFormat(\"%i\")\r\n        self.plot.addAxis(self.x_axis, Qt.AlignBottom)\r\n        self.time_series.attachAxis(self.x_axis)\r\n\r\n        self.y_axis = QValueAxis()\r\n        self.y_axis.setLabelFormat(\"%i\")\r\n        self.plot.addAxis(self.y_axis, Qt.AlignLeft)\r\n        self.time_series.attachAxis(self.y_axis)\r\n\r\n        self.setChart(self.plot)\r\n\r\n    def _instantiate_series(self, x_values: Iterable[float], y_values: Iterable[float]):\r\n        for x, y in zip(x_values, y_values):\r\n            self.time_series.append(x, y)\r\n\r\n    def update_series(self, x_values: Iterable[float], y_values: Iterable[float]):\r\n        for i, (x, y) in enumerate(zip(x_values, y_values)):\r\n            self.time_series.replace(i, x, y)\r\n\r\n\r\nclass ViewSignals(QObject):\r\n    \"\"\"Cannot be defined on View directly since Signal needs to be defined on\r\n    object that inherits from QObject\"\"\"\r\n\r\n    annotation = Signal(tuple)\r\n    start_recording = Signal(str)\r\n\r\n\r\nclass View(QMainWindow):\r\n    def __init__(self, model: Model):\r\n        super().__init__()\r\n\r\n        self.setWindowTitle(f\"OpenHRV ({version})\")\r\n        self.setWindowIcon(QIcon(\":/logo.png\"))\r\n\r\n        self.model = model\r\n        self.model.ibis_buffer_update.connect(self.plot_ibis)\r\n        self.model.hrv_update.connect(self.plot_hrv)\r\n        self.model.addresses_update.connect(self.list_addresses)\r\n        self.model.pacer_rate_update.connect(self.update_pacer_label)\r\n        self.model.hrv_target_update.connect(self.update_hrv_target)\r\n\r\n        self.signals = ViewSignals()\r\n\r\n        self.pacer = Pacer()\r\n        self.pacer_timer = QTimer()\r\n        self.pacer_timer.setInterval(int(1 / 8 * 1000))  # redraw pacer at 8Hz\r\n        self.pacer_timer.timeout.connect(self.plot_pacer_disk)\r\n\r\n        self.scanner = SensorScanner()\r\n        self.scanner.sensor_update.connect(self.model.update_sensors)\r\n        self.scanner.status_update.connect(self.show_status)\r\n\r\n        self.sensor = SensorClient()\r\n        self.sensor.ibi_update.connect(self.model.update_ibis_buffer)\r\n        self.sensor.status_update.connect(self.show_status)\r\n\r\n        self.logger = Logger()\r\n        self.logger.recording_status.connect(self.show_recording_status)\r\n        self.logger.status_update.connect(self.show_status)\r\n        self.logger_thread = QThread()\r\n        self.logger_thread.finished.connect(self.logger.save_recording)\r\n        self.signals.start_recording.connect(self.logger.start_recording)\r\n        self.logger.moveToThread(self.logger_thread)\r\n\r\n        self.model.ibis_buffer_update.connect(self.logger.write_to_file)\r\n        self.model.addresses_update.connect(self.logger.write_to_file)\r\n        self.model.pacer_rate_update.connect(self.logger.write_to_file)\r\n        self.model.hrv_target_update.connect(self.logger.write_to_file)\r\n        self.model.hrv_update.connect(self.logger.write_to_file)\r\n        self.signals.annotation.connect(self.logger.write_to_file)\r\n\r\n        self.ibis_widget = XYSeriesWidget(\r\n            self.model.ibis_seconds, self.model.ibis_buffer\r\n        )\r\n        self.ibis_widget.x_axis.setTitleText(\"Seconds\")\r\n        # The time series displays only the samples within the last\r\n        # IBI_HISTORY_DURATION seconds,\r\n        # even though there are more samples in self.model.ibis_seconds.\r\n        self.ibis_widget.x_axis.setRange(-IBI_HISTORY_DURATION, 0.0)\r\n        self.ibis_widget.x_axis.setTickCount(7)\r\n        self.ibis_widget.x_axis.setTickInterval(10.0)\r\n        self.ibis_widget.y_axis.setTitleText(\"Inter-Beat-Interval (msec)\")\r\n        self.ibis_widget.y_axis.setRange(MIN_PLOT_IBI, MAX_PLOT_IBI)\r\n\r\n        self.hrv_widget = XYSeriesWidget(\r\n            self.model.hrv_seconds, self.model.hrv_buffer, WHITE\r\n        )\r\n        self.hrv_widget.x_axis.setTitleText(\"Seconds\")\r\n        # The time series displays only the samples within the last\r\n        # HRV_HISTORY_DURATION seconds,\r\n        # even though there are more samples in self.model.hrv_seconds.\r\n        self.hrv_widget.x_axis.setRange(-HRV_HISTORY_DURATION, 0)\r\n        self.hrv_widget.y_axis.setTitleText(\"HRV (msec)\")\r\n        self.hrv_widget.y_axis.setRange(0, self.model.hrv_target)\r\n        colorgrad = QLinearGradient(0, 0, 0, 1)  # horizontal gradient\r\n        colorgrad.setCoordinateMode(QGradient.ObjectMode)\r\n        colorgrad.setColorAt(0, GREEN)\r\n        colorgrad.setColorAt(0.6, YELLOW)\r\n        colorgrad.setColorAt(1, RED)\r\n        brush = QBrush(colorgrad)\r\n        self.hrv_widget.plot.setPlotAreaBackgroundBrush(brush)\r\n        self.hrv_widget.plot.setPlotAreaBackgroundVisible(True)\r\n\r\n        self.pacer_widget = PacerWidget(*self.pacer.update(self.model.breathing_rate))\r\n\r\n        self.pacer_label = QLabel()\r\n        self.pacer_rate = QSlider(Qt.Horizontal)\r\n        self.pacer_rate.setTickPosition(QSlider.TicksBelow)\r\n        self.pacer_rate.setTracking(False)\r\n        self.pacer_rate.setRange(\r\n            breathing_rate_to_tick(MIN_BREATHING_RATE),\r\n            breathing_rate_to_tick(MAX_BREATHING_RATE),\r\n        )\r\n        self.pacer_rate.valueChanged.connect(self.model.update_breathing_rate)\r\n        self.pacer_rate.setValue(breathing_rate_to_tick(MAX_BREATHING_RATE))\r\n\r\n        self.pacer_toggle = QCheckBox(\"Show pacer\", self)\r\n        self.pacer_toggle.setChecked(True)\r\n        self.pacer_toggle.stateChanged.connect(self.toggle_pacer)\r\n\r\n        self.hrv_target_label = QLabel(f\"Target: {self.model.hrv_target}\")\r\n\r\n        self.hrv_target = QSlider(Qt.Horizontal)\r\n        self.hrv_target.setRange(MIN_HRV_TARGET, MAX_HRV_TARGET)\r\n        self.hrv_target.setSingleStep(10)\r\n        self.hrv_target.valueChanged.connect(self.model.update_hrv_target)\r\n        self.hrv_target.setSliderPosition(self.model.hrv_target)\r\n\r\n        self.scan_button = QPushButton(\"Scan\")\r\n        self.scan_button.clicked.connect(self.scanner.scan)\r\n\r\n        self.address_menu = QComboBox()\r\n\r\n        self.connect_button = QPushButton(\"Connect\")\r\n        self.connect_button.clicked.connect(self.connect_sensor)\r\n\r\n        self.disconnect_button = QPushButton(\"Disconnect\")\r\n        self.disconnect_button.clicked.connect(self.disconnect_sensor)\r\n\r\n        self.start_recording_button = QPushButton(\"Start\")\r\n        self.start_recording_button.clicked.connect(self.get_filepath)\r\n\r\n        self.save_recording_button = QPushButton(\"Save\")\r\n        self.save_recording_button.clicked.connect(self.logger.save_recording)\r\n\r\n        self.annotation = QComboBox()\r\n        self.annotation.setEditable(True)\r\n        self.annotation.setDuplicatesEnabled(False)\r\n        self.annotation_button = QPushButton(\"Annotate\")\r\n        self.annotation_button.clicked.connect(self.emit_annotation)\r\n        self.central_widget = QWidget()\r\n        self.setCentralWidget(self.central_widget)\r\n\r\n        self.recording_status_label = QLabel(\"Status:\")\r\n        self.recording_statusbar = QProgressBar()\r\n        self.recording_statusbar.setRange(0, 1)\r\n\r\n        self.statusbar = self.statusBar()\r\n\r\n        self.vlayout0 = QVBoxLayout(self.central_widget)\r\n\r\n        self.hlayout0 = QHBoxLayout()\r\n        self.hlayout0.addWidget(self.ibis_widget)\r\n        self.hlayout0.addWidget(self.pacer_widget)\r\n        self.vlayout0.addLayout(self.hlayout0, stretch=50)\r\n\r\n        self.vlayout0.addWidget(self.hrv_widget, stretch=50)\r\n\r\n        self.hlayout1 = QHBoxLayout()\r\n\r\n        self.device_config = QGridLayout()\r\n        self.device_config.addWidget(self.scan_button, 0, 0)\r\n        self.device_config.addWidget(self.address_menu, 0, 1)\r\n        self.device_config.addWidget(self.connect_button, 1, 0)\r\n        self.device_config.addWidget(self.disconnect_button, 1, 1)\r\n        self.device_panel = QGroupBox(\"ECG Devices\")\r\n        self.device_panel.setLayout(self.device_config)\r\n        self.hlayout1.addWidget(self.device_panel, stretch=25)\r\n\r\n        self.hrv_config = QFormLayout()\r\n        self.hrv_config.addRow(self.hrv_target_label, self.hrv_target)\r\n        self.hrv_panel = QGroupBox(\"HRV Settings\")\r\n        self.hrv_panel.setLayout(self.hrv_config)\r\n        self.hlayout1.addWidget(self.hrv_panel, stretch=25)\r\n\r\n        self.pacer_config = QFormLayout()\r\n        self.pacer_config.addRow(self.pacer_label, self.pacer_rate)\r\n        self.pacer_config.addRow(self.pacer_toggle)\r\n        self.pacer_panel = QGroupBox(\"Breathing Pacer\")\r\n        self.pacer_panel.setLayout(self.pacer_config)\r\n        self.hlayout1.addWidget(self.pacer_panel, stretch=25)\r\n\r\n        self.recording_config = QGridLayout()\r\n        self.recording_config.addWidget(self.start_recording_button, 0, 0)\r\n        self.recording_config.addWidget(self.save_recording_button, 0, 1)\r\n        self.recording_config.addWidget(self.recording_statusbar, 0, 2)\r\n        # row, column, rowspan, columnspan\r\n        self.recording_config.addWidget(self.annotation, 1, 0, 1, 2)\r\n        self.recording_config.addWidget(self.annotation_button, 1, 2)\r\n        self.recording_panel = QGroupBox(\"Recording\")\r\n        self.recording_panel.setLayout(self.recording_config)\r\n        self.hlayout1.addWidget(self.recording_panel, stretch=25)\r\n\r\n        self.vlayout0.addLayout(self.hlayout1)\r\n\r\n        self.logger_thread.start()\r\n        self.pacer_timer.start()\r\n\r\n    def closeEvent(self, _):\r\n        \"\"\"Shut down all threads.\"\"\"\r\n        print(\"Closing threads...\")\r\n\r\n        self.sensor.disconnect_client()\r\n\r\n        self.logger_thread.quit()\r\n        self.logger_thread.wait()\r\n\r\n    def get_filepath(self):\r\n        current_time: str = datetime.now().strftime(\"%Y-%m-%d-%H-%M\")\r\n        default_file_name: str = f\"OpenHRV_{current_time}.csv\"\r\n        # native file dialog not reliable on Windows (most likely COM issues)\r\n        file_path: str = QFileDialog.getSaveFileName(\r\n            None,\r\n            \"Create file\",\r\n            default_file_name,\r\n            options=QFileDialog.DontUseNativeDialog,\r\n        )[0]\r\n        if not file_path:  # user cancelled or closed file dialog\r\n            return\r\n        if not valid_path(file_path):\r\n            self.show_status(\"File path is invalid or exists already.\")\r\n            return\r\n        self.signals.start_recording.emit(file_path)\r\n\r\n    def connect_sensor(self):\r\n        if not self.address_menu.currentText():\r\n            return\r\n        # discard device name\r\n        address: str = self.address_menu.currentText().split(\",\")[1].strip()\r\n        if not valid_address(address):\r\n            print(f\"Invalid sensor address: {address}.\")\r\n            return\r\n        sensor: list[QBluetoothDeviceInfo] = [\r\n            s for s in self.model.sensors if get_sensor_address(s) == address\r\n        ]\r\n        self.sensor.connect_client(*sensor)\r\n\r\n    def disconnect_sensor(self):\r\n        self.sensor.disconnect_client()\r\n\r\n    def plot_ibis(self, ibis: NamedSignal):\r\n        self.ibis_widget.update_series(*ibis.value)\r\n\r\n    def plot_hrv(self, hrv: NamedSignal):\r\n        self.hrv_widget.update_series(*hrv.value)\r\n\r\n    def list_addresses(self, addresses: NamedSignal):\r\n        self.address_menu.clear()\r\n        self.address_menu.addItems(addresses.value)\r\n\r\n    def plot_pacer_disk(self):\r\n        coordinates = self.pacer.update(self.model.breathing_rate)\r\n        self.pacer_widget.update_series(*coordinates)\r\n\r\n    def update_pacer_label(self, rate: NamedSignal):\r\n        self.pacer_label.setText(f\"Rate: {rate.value}\")\r\n\r\n    def update_hrv_target(self, target: NamedSignal):\r\n        self.hrv_widget.y_axis.setRange(0, target.value)\r\n        self.hrv_target_label.setText(f\"Target: {target.value}\")\r\n\r\n    def toggle_pacer(self):\r\n        visible = self.pacer_widget.isVisible()\r\n        self.pacer_widget.setVisible(not visible)\r\n\r\n    def show_recording_status(self, status: int):\r\n        \"\"\"Indicate busy state if `status` is 0.\"\"\"\r\n        self.recording_statusbar.setRange(0, status)\r\n\r\n    def show_status(self, status: str, print_to_terminal=True):\r\n        self.statusbar.showMessage(status, 0)\r\n        if print_to_terminal:\r\n            print(status)\r\n\r\n    def emit_annotation(self):\r\n        self.signals.annotation.emit(\r\n            NamedSignal(\"Annotation\", self.annotation.currentText())\r\n        )\r\n"
  },
  {
    "path": "pyproject.toml",
    "content": "[project]\nname = \"OpenHRV\"\nversion = \"1.1.0\"\n# Support all Python versions that are compatible with the PySide6 version.\n# See compatibility matrix at https://wiki.qt.io/Qt_for_Python.\nrequires-python = \">= 3.9\"\ndependencies = [\"PySide6 >= 6.10\"]\n\n[project.optional-dependencies]\ndev = [\"snakeviz\"]\nbuild = [\"pyinstaller\"]\n\n[tool.mypy]\ncheck_untyped_defs = true\n\n[project.gui-scripts]\n# command line entry points\nopenhrv = \"openhrv.app:main\"\n"
  },
  {
    "path": "test/app.py",
    "content": "import math\nimport time\nimport uuid\nfrom random import randint\nfrom PySide6.QtCore import QObject, Signal, QTimer\nfrom openhrv.utils import get_sensor_address\n\n\nclass MockBluetoothMac:\n    def __init__(self, mac):\n        self._mac = mac\n\n    def toString(self):\n        return self._mac\n\n\nclass MockBluetoothUuid:\n    def __init__(self, uuid):\n        self._uuid = uuid\n\n    def toString(self):\n        return f\"{self._uuid}\"\n\n\nclass MockSensor:\n    def __init__(self):\n        self._mac = MockBluetoothMac(\n            \":\".join([f\"{randint(0, 255):02x}\" for _ in range(6)])\n        )\n        self._uuid = MockBluetoothUuid(uuid.uuid4())\n        self._name = \"MockSensor\"\n\n    def name(self):\n        return self._name\n\n    def address(self):\n        return self._mac\n\n    def deviceUuid(self):\n        return self._uuid\n\n\nclass MockSensorScanner(QObject):\n    sensor_update = Signal(object)\n    status_update = Signal(str)\n\n    def scan(self):\n        polar_sensors = [MockSensor() for _ in range(3)]\n        self.sensor_update.emit(polar_sensors)\n        self.status_update.emit(f\"Found {len(polar_sensors)} sensor(s).\")\n\n\nclass MockSensorClient(QObject):\n    ibi_update = Signal(object)\n    status_update = Signal(str)\n\n    def __init__(self):\n        super().__init__()\n        # Polar sensor emits a (package of) IBI(s) about every second.\n        # Here we \"emit\" / simulate IBI(s) in quicker succession in order to push the rendering.\n        self.mean_ibi = 900\n        self.timer = QTimer()\n        self.timer.setInterval(self.mean_ibi)\n        self.timer.timeout.connect(self.simulate_ibi)\n\n    def connect_client(self, sensor):\n        self.status_update.emit(\n            f\"Connecting to sensor at {get_sensor_address(sensor)}.\"\n        )\n        self.timer.start()\n\n    def disconnect_client(self):\n        self.status_update.emit(\"Disconnecting from sensor.\")\n        self.timer.stop()\n\n    def simulate_ibi(self):\n        # IBIs fluctuate at a rate of `breathing_rate`\n        # in a sinusoidal pattern around `mean_ibi`,\n        # in a range of `range_ibi`.\n        breathing_rate = 6\n        range_ibi = 100  # without noise, HRV settles at this value\n        ibi = self.mean_ibi + (range_ibi / 2) * math.sin(\n            2 * math.pi * breathing_rate / 60 * time.time()\n        )\n        # add noise spikes\n        if randint(1, 30) == 1:\n            if randint(1, 2) == 1:\n                ibi += 500\n            else:\n                ibi -= 500\n        self.ibi_update.emit(ibi)\n\n\ndef main():\n    \"\"\"Mock sensor classes.\n\n    Mock classes need to replace their mocked counterparts in namespace before\n    the latter are imported elsewhere:\n    https://stackoverflow.com/questions/3765222/monkey-patch-python-class\n    \"\"\"\n    from openhrv import sensor  # noqa\n\n    sensor.SensorClient = MockSensorClient\n    sensor.SensorScanner = MockSensorScanner\n\n    from openhrv.app import main as mock_main  # noqa\n\n    mock_main()\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "test/profile_app.py",
    "content": "import cProfile\nfrom test.app import main\nimport subprocess\n\ncProfile.run(\"main()\", \"openhrv.profile\")\nsubprocess.run([\"snakeviz\", \"openhrv.profile\"], check=True)\n"
  }
]