Aidlab SDK simplifies the communication process with Aidlab and Aidmed One. The SDK also provides algorithms to manipulate received data so you don’t have to reinvent the wheel.

Supported platforms

The package publishes Python-ABI-independent platform wheels containing the matching native Aidlab SDK library:

  • macOS 11 or newer: Intel and Apple Silicon (universal2)
  • Windows: x86-64
  • Linux: x86-64 and AArch64 (manylinux_2_24 or newer), plus ARMv7 (manylinux_2_31 or newer)

Transport architecture

The Python SDK now supports two connection modes:

  1. Default mode (Aidlab-managed BLE scanner + transport)
  2. Custom mode (your own scanner/transport implementation)

Default mode

from aidlab import AidlabManager

devices = await AidlabManager().scan()
await devices[0].connect(delegate)

Custom mode

from aidlab import Device

device = Device(
    address="AA:BB:CC:DD:EE:FF",
    name="Aidlab 2",
    transport=my_transport,  # implements AidlabTransport
)
await device.connect(delegate)

Orientation viewer

The source checkout includes an OpenGL viewer that compares the live roll/pitch/yaw and quaternion orientation reported by one device. From the Python/Aidlab directory in the repository, run:

python orientation_viewer.py --device aidlab2

Pass --address <BLE-address-or-UUID> when more than one matching device is visible. The viewer is not installed as a package command; its dependencies are available through the gui package extra.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for SzymonGesicki from gravatar.com SzymonGesicki

Credits

Author: Aidlab

License

MIT

Requires

Python >=3.10

Provides Extra

gui

Tags

biofeedback aidlab aidmed wearable technology fitness data analysis healthcare biomedical chest strap sdk signals biosignals heart rate ecg

Classifiers

Report project as malware

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