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DeepECG

imported

data/deepecg-truongnmt

Using deep learning to detect Atrial fibrillation

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
atrial-fibrillation · cardio · csv · dataset · deep-learning · ecg · ecg-qrs-detection · electrocardiogram
Regulatory
unknown
built by · 1

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • DeepECGcardio · dataset · ecg

    ECG classification programs based on ML/DL methods

  • Rationale Atrial fibrillation (AF) has emerged as a worldwide cardiovascular epidemic affecting more than 33 million individuals worldwide and carrying a 5-fold increased risk of brain stroke and a…

  • A dataset with 40+ hours of sensor data obtained from 10 players in League of Legends

  • ECGdeliecg · ecg-qrs-detection

    This is ECGdeli - A selection of delicious algorithms for ECG delineation

  • HEPLABecg · ecg-qrs-detection

    Detection of ECG events (R wave, T wave) for the preprocessing of the heartbeat evoked potential

  • Measure an electrocardiogram (ECG) with an Arduino Uno and an Olimex-EKG-EMG-Shield and calculate the heart rate variability afterward.

sources
  1. api.github.com/repos/truongnmt/DeepECG
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2021-12-15, 31 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 →

machine-readable

/v1/entries/17.json→ .entries["deepecg-truongnmt"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.