MUzairZahid/R-Peak-Detection-1D-CNN

Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network

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Emerging

This helps cardiologists and medical researchers accurately identify R-peaks in noisy Holter ECG recordings. You input raw, potentially low-quality, Holter ECG data, and it outputs precise R-peak locations, crucial for diagnosing heart conditions. This tool is designed for medical professionals analyzing large volumes of ECG data.

No commits in the last 6 months.

Use this if you need to reliably detect R-peaks in challenging, low-quality Holter ECG data where traditional methods might fail.

Not ideal if you are working with high-quality, clean ECG data or need a solution for real-time, on-device analysis.

cardiology ECG-analysis medical-diagnostics biomedical-signal-processing arrhythmia-detection
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 17 / 25

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31

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8

Language

Python

License

Last pushed

Apr 07, 2022

Commits (30d)

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