REAL TIME ECG CLASSIFIER
version 1.0.3 (229 KB) by
Rohan Sanghavi
Takes an ECG signal from a sensor and checks for Atrial Fibrillation. Also computes Heart rate. Accuracy 99.84% - Glenmark Cardiac Centre
This is an appliation developed using MATLAB App designer. Instructions to use it are present in the README file in the zip.
Based on my group's research paper published at IEEE GCAT 2021, Banglore.
It reads ECG data from the serial port of Arduino using the MAX 86150 ECG and PPG Sensor and transferrs it to MATLAB, Processes it and checks for Atrial Fibrillation.
If you use this app in any of your projects please cite our paper
R. Sanghavi, F. Chheda, S. Kanchan and S. Kadge, "Detection Of Atrial Fibrillation in Electrocardiogram Signals using Machine Learning," 2021 2nd Global Conference for Advancement in Technology (GCAT), 2021, pp. 1-6, doi: 10.1109/GCAT52182.2021.9587664.
If anyone needs the standalone version of this app (in case he wants to use it independent of MATLAB)
kindly mail me at
rohan.sanghavi@somaiya.edu
Cite As
Rohan Sanghavi (2022). REAL TIME ECG CLASSIFIER (https://www.mathworks.com/matlabcentral/fileexchange/102499-real-time-ecg-classifier), MATLAB Central File Exchange. Retrieved .
R. Sanghavi, F. Chheda, S. Kanchan and S. Kadge, "Detection Of Atrial Fibrillation in Electrocardiogram Signals using Machine Learning," 2021 2nd Global Conference for Advancement in Technology (GCAT), 2021, pp. 1-6, doi: 10.1109/GCAT52182.2021.9587664.
MATLAB Release Compatibility
Created with
R2021b
Compatible with R2014b to R2021b
Platform Compatibility
Windows macOS LinuxTags
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