Updated signal quality module

New Feature: Further updated signal quality assessment model to SQAPhysMD - trained with contrastive learning,

Pending items:: Video tutorials and recordings of the demos.

Full Changelog: V1.8.8...V2.0.1

V1.8.8

New Feature

• Updated signal quality assessment model to SQA_PhysMD, as published in our recent article: Joshi, J., & Cho, Y. (2024). Imaging Blood Volume Pulse Dataset: RGB-Thermal Remote Photoplethysmography Dataset with High-Resolution Signal-Quality Labels. Electronics, 13(7), 1334. https://doi.org/10.3390/electronics13071334

Pending items:

• Video tutorials and recordings of the demos.

Full Changelog: V1.8.0...V1.8.8

Presented PhysioKit based breathing biofeedback at Haptics soirée event, UCL on 3rd Nov 2023

New Feature:

• Support for getting biofeedback over the UART - using the same arduino board as the one used for acquisition. This feature is illustrated only with two sensors scenario, however it can be achieved for any number of sensors.

• Integration with mid-air haptics device for breathing biofeedback.

• To implement this demo, please follow the steps as below:

1. Download the source code (attached below), build the wheel package and install.
2. Download the Arduino program and upload the same to Arduino.
3. Download the software configuration file.
4. Download the experiment configuration file.
5. Launch PhysioKit with this command: physiokit --config [path to sw_config.json]
6. Connect to the correct COM-Port.
7. Load Experiment and specify the downloaded experiment configuration file - i.e. "exp_config_Resp_PPG_BF.json".
8. Once the sensors are connected and live acquisition is started, the breathing biofeedback signal will be avilable on PWM Pin=5 of the Arduino.

Pending items:

• Video tutorials and recordings of the demos.

Refinements for Biofeedback

New Feature:

• Support for getting biofeedback over the UART - using the same arduino board as the one used for acquisition. This feature is illustrated only with two sensors scenario, however it can be achieved for any number of sensors.

• To implement this demo, please follow the steps as below:

1. Install or update the PhysioKit2 package: pip install --upgrade PhysioKit2
2. Download the Arduino program and upload the same to Arduino.
3. Download the software configuration file.
4. Download the experiment configuration file.
5. Launch PhysioKit with this command: physiokit --config [path to sw_config.json]
6. Connect to the correct COM-Port.
7. Load Experiment and specify the downloaded experiment configuration file - i.e. "exp_config_Resp_PPG_BF.json".
8. Once the sensors are connected and live acquisition is started, the breathing biofeedback signal will be avilable on PWM Pin=5 of the Arduino.

Pending items:

• Video tutorials and recordings of the demos.

Published at MDPI Sensors journal

Update after the work got published at MDPI sensors journal.

New feature:

• Real time visualization of PPG signal quality in the interface.
• Performance optimization.

Next plan for future release:

• Video tutorials and demo video

Published at MDPI Sensors journal

Update after the work got published at MDPI sensors journal.

New feature:

• Real time visualization of PPG signal quality in the interface.
• Performance optimization.

Next plan for future release:

• Video tutorials and demo video

Published at MDPI Sensors journal

Update after the work got published at MDPI sensors journal.

New feature:

• Real time visualization of PPG signal quality in the interface.
• Data analysis code in analysis_helper folder.

Next plan for future release:

• Video tutorials and demo video
• Performance optimization.

Published at MDPI Sensors journal

First release tag after the work got published at MDPI sensors journal.
Pending items for integration:

• Real time visualization on the UI for PPG signal quality in subplots.
• Sample-wise saving of signal quality data.

Fully Functional Release

Minor corrections in ReadMe

Fully Functional Release

Enhancements and support for latest versions of python and python packages.