ECG_ML
importedsoftware/ecg-ml
Machine Learning on ECG to predict heart-beat classification.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/koen-aerts/ECG_ML
- Documentation
- unknown
- Tags
- datalab · ecg · ecg-analyzer · ecg-data · google-datalab · machine-learning · mit-bih · mit-bih-arrhythmia
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- olimex-arduino-ecg-and-heart-rate-variabilityecg · ecg-analyzer · ecg-data
Measure an electrocardiogram (ECG) with an Arduino Uno and an Olimex-EKG-EMG-Shield and calculate the heart rate variability afterward.
- OpenHRStrapecg · ecg-analyzer · ecg-data
OpenHRStrap is an open-source DIY chest-strap heart-rate tracker built around the ESP32. It measures real biosignals through electrodes, filters the signal, and applies the Pan–Tompkins algorithm to…
- ecg-mit-bihecg · mit-bih-arrhythmia
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,…
- ECG_Liecg · ecg-analyzer
Real-time Wearable-based Cardiac Monitoring with Machine Learning
- ECGdeliecg · ecg-analyzer
This is ECGdeli - A selection of delicious algorithms for ECG delineation
- Dhadkanecg-analyzer
An ECG Monitoring System with Real-time Analysis for Tele-medecine facilites
- api.github.com/repos/koen-aerts/ECG_MLretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2019-03-18, 36 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/44.json→ .entries["ecg-ml"]
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