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dynamic_ecg

imported

software/dynamic-ecg

A python package to process Apple Watch ECG data

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

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
apple-watch · ecg
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.

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  • This repository contains code reproducing an existing method to detect atrial fibrillation using empirical mode decomposition of signals. This was a lecture that I gave for graduate-level BioSignal…

  • Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

sources
  1. api.github.com/repos/Heartbeatman/dynamic_ecg
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-01-12, 12 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/54.json→ .entries["dynamic-ecg"]

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