Pocket-size electronic device with a Mobile app to display and analyze Body signals with a Multi-Model 🩺
Project BioSense-AI is a both software - hardware project focusing on predicting diseases using ECG-PPG, temperature, and text prompts. Signals are amplified and filtered via custom analog circuits, then fed to Orange Pi Zero 2W SBC from an A2D conversion to digital processing. The system uses a deep learning custom multi-model architecture with interpretability for accuracy and efficiency. Currently, we are developing a mobile app for user access to the AI model by scanning ECG reports and other prompts for hospitals without our electronic device.
> Specifications:
- Analog circuit design for capturing ECG signals.
- Rechargeable pocket size Electronic device.
- Connects to the Mobile app to display ECG signals and prediction reports.
- Classification and predictions of Lung Sounds (by stethoscope mic);
Asthma, heart failure, pneumonia, bronchitis, pleural effusion, lung
fibrosis, and chronic obstructive pulmonary disease (COPD)
- Classification and predictions of heart sounds (by stethoscope mic);
Artefact, extra heart sound, extrasystole, murmur, and normal.
- Classification and predictions of ECG; -N: Non-exotic beats (normal
beat)
Supraventricular ectopic beats, Ventricular ectopic beats, Fusion Beats,
Unknown Beats
> Hardware Components:Â
- BioSense-AI main PCB
- Power Supply PCB
- Orange Pi 0 2w SBC
- Analog componentsÂ
- USB, ECG, and Audio Ports
- OLED display for displaying essential states of the device
- Switches
> Team Members:
- [Hasitha Gallella](https://github.com/HasithaGallella)
- [Sandun Herath](https://github.com/sandun21)
- [Thuva Sooriya](https://github.com/thuvasooriya)
- [Jaliya Nimantha](https://github.com/jaliyanimanthako)
Demonstration VideoLink: https://
Special thanks to Dr. Udaya Sampath Perera and Dr. Chamira Edussooriya for their guidance and support throughout our journey.
Also, I would like to extend our special gratitude to Chamith Dilshan Ranathunga Aiya for the mentorship & invaluable support for the project.Â
[Department of Electronic and Telecommunication Engineering, University of Moratuwa](https://ent.uom.lk/)Â
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