Intiserahmed/SpectreOra-IoT-Mobile-ML
🥈🎉 Silver Award Winner and Presented at IEEE Conference 📝 .This project implements a comprehensive pipeline for real-time ECG (Electrocardiogram) data processing and analysis, integrating IoT devices.
This project helps medical professionals or individuals monitor heart activity by processing real-time Electrocardiogram (ECG) data. It takes raw ECG signals from a wearable sensor and delivers predictive analysis directly to a mobile application. This is for health practitioners, remote patient monitoring services, or individuals managing personal heart health.
No commits in the last 6 months.
Use this if you need a complete, secure system for collecting, analyzing, and displaying real-time ECG data from an IoT device to a mobile app.
Not ideal if you require FDA-approved medical diagnostic tools or are not comfortable with an open-source, DIY approach for health monitoring.
Stars
5
Forks
—
Language
PureBasic
License
—
Category
Last pushed
Mar 08, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Intiserahmed/SpectreOra-IoT-Mobile-ML"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
DeepPSP/torch_ecg
Deep learning ECG models implemented using PyTorch
im-ethz/flirt
Are you ready to FLIRT with your wearable data?
Edoar-do/HuBERT-ECG
A self-supervised foundation ECG model for broad and scalable cardiac applications
antonior92/automatic-ecg-diagnosis
Scripts and modules for training and testing neural network for ECG automatic classification....
AmbiqAI/heartkit
Perform AI-based heart monitoring tasks