MUzairZahid/R-Peak-Detection-1D-CNN
Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network
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.
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31
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8
Language
Python
License
—
Category
Last pushed
Apr 07, 2022
Commits (30d)
0
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