ECG-transform repo, README.md

Github: https://github.com/JennEYoon/ECG-transform/edit/main/README.md

Author: Jennifer E Yoon
Date Range: Nov 2024 - 2025

1. Quick Project Description:

This repo contains a deep learning project for Areteus.us. (See https://www.areteus.us/)
Areteus is developing a novel ECG heart rate detection wearable device. It's novel factors are: (1) continuously wearable at home and (2) comparable to hospital machines (12 or more signals). This AI project will customize ECG classification model(s) for Areteus's novel device. Visualization app showing live-feed ECG signals is also planned.

2. Device Information:

2.A) Areteus Device: See _Wearable_ECG_Device.md
https://github.com/JennEYoon/ECG-transform/blob/main/_Wearable_ECG_Device.md

2.B) to write, hospital ECG devices

2.C) at-home ECG devices

3. Literature and Public Datasets research:

3.A) Review ECGTransform paper, original paper provided by Areteus:
Paper review, datasets review.

• MIT dataset
• PTB dataset

3.B) Research other ECG papers, training models, simpler models:

• Simple CNN
• ResNet
• RandomForest

3.C) Research other large datasets:
Chinese datasets
PTB-XL large dataset
Physionet challenge as data sources, paper sources.

3.D) ECG data splitting and processing methods research:

Currently here.

4. AI Model Development and Testing:

5. Key Findings:

6. App and Website Hosting, Report Writing:

• documentation started
• organization started
• Embedding visualization (notebooks, plots) on website research
• Interactive python viz libraries research