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ECG-acquisition-classification

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devices/ecg-acquisition-classification

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning

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

ECG-acquisition-classification project image
GitHub preview card for manideep2510/ECG-acquisition-classification. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Devices & Hardware
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
arduino · convolutional-neural-networks · deep-convolutional-networks · deep-learning · ecg · ecg-acquisition · ecg-classification · ecg-signal
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

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    ECG Viewer is a graphical interpreter for the ECG Reader sensor. Written in Python with PyQT5 + pyqtgraph.

  • 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/manideep2510/ECG-acquisition-classification
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2022-12-27, 44 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/19.json→ .entries["ecg-acquisition-classification"]

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