REAL TIME ECG CLASSIFIER

Takes an ECG signal from a sensor and checks for Atrial Fibrillation. Also computes Heart rate. Accuracy 99.84% - Glenmark Cardiac Centre

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Updated 29 Nov 2021

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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 (2023). 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 Linux

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Version Published Release Notes
1.0.3

Bug fixes

1.0.2

Bug fixes for windowing.

1.0.1

Minor filtering bug fixes.

1.0.0