polar-python is a Python library for connecting to Polar devices via Bluetooth Low Energy (BLE) using Bleak. It allows querying device capabilities (e.g., ECG, ACC, PPG), exploring configurable options, and streaming parsed data through callback functions.
Project description
polar-python
polar-python
is a Python library designed for seamless integration with Polar devices using Bluetooth Low Energy (BLE) through the Bleak library. With polar-python
, you can easily connect to Polar devices, query supported functionalities such as ECG, ACC, and PPG, explore configurable options and their possible values, and start data streaming to receive parsed binary data through callback functions.
Features
- Connect to Polar Devices: Use BLE to connect to Polar devices.
- Query Device Capabilities: Discover supported functionalities like ECG, ACC, and PPG.
- Explore Configurable Options: Query and set measurement settings for each feature.
- Stream Data: Start data streaming and receive parsed binary data via callback functions.
Installation
You can install polar-python
from PyPI using pip:
pip install polar-python
Usage
Below is an example of how to use polar-python
to connect to a Polar device, query its features, set measurement settings, and start data streaming.
Step 1: Import Libraries and Initialize Console
import asyncio
from bleak import BleakScanner
from polar_python import PolarDevice, MeasurementSettings, SettingType, ECGData, ACCData
Step 2: Define Data Callback Function
def data_callback(data: Union[ECGData, ACCData]):
"""
Callback function to handle incoming data from the Polar device.
Args:
data (Union[ECGData, ACCData]): The data received from the Polar device.
"""
Step 3: Define Main Function to Connect to Polar Device
async def main():
"""
Main function to connect to a Polar device, query its features,
set measurement settings, and start data streaming.
"""
# Find the Polar H10 device
device = await BleakScanner.find_device_by_filter(
lambda bd, ad: bd.name and "Polar H10" in bd.name, timeout=5
)
if device is None:
return
Step 4: Connect to Polar Device and Query Features
# Establish connection to the Polar device
async with PolarDevice(device, data_callback) as polar_device:
# Query available features
available_features = await polar_device.available_features()
# Query and print stream settings for each feature
for feature in available_features:
settings = await polar_device.request_stream_settings(feature)
Step 5: Define and Start Data Streams
# Define ECG measurement settings
ecg_settings = MeasurementSettings(
measurement_type="ECG",
settings=[
SettingType(type="SAMPLE_RATE", array_length=1, values=[130]),
SettingType(type="RESOLUTION", array_length=1, values=[14]),
],
)
# Define ACC measurement settings
acc_settings = MeasurementSettings(
measurement_type="ACC",
settings=[
SettingType(type="SAMPLE_RATE", array_length=1, values=[25]),
SettingType(type="RESOLUTION", array_length=1, values=[16]),
SettingType(type="RANGE", array_length=1, values=[2]),
],
)
# Start data streams for ECG and ACC
await polar_device.start_stream(ecg_settings)
await polar_device.start_stream(acc_settings)
# Keep the stream running for 120 seconds
await asyncio.sleep(120)
Step 6: Run the Main Function
if __name__ == "__main__":
asyncio.run(main())
License
This project is licensed under the MIT License. See the LICENSE file for details.
Acknowledgements
- Bleak - BLE library for Python.
- Rich - Python library for rich text and beautiful formatting in the terminal.
- bleakheart - For providing inspiration and valuable insights.
- Polar BLE SDK - For providing official BLE SDK and documentation for Polar devices.
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