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zemerahkomu's Projects

autoufstool icon autoufstool

Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection

braveheart icon braveheart

BRAVEHEART: Open-source software for automated electrocardiographic and vectorcardiographic analysis

ecg-filter-design icon ecg-filter-design

In these codes, my main task was to design efficient digital filters to eliminate all the noise sources associated with the ECG signal so as to get a noise free ECG signal as output from the filters.

ecg_classification icon ecg_classification

This is the ECG classification implementation for the diagnosis of Myocardial Infarction

ecg_features icon ecg_features

A MATLAB script to identify ECG features: {Q, R, S, T} * {start, peak, end}

ecg_r_peak_detection_and_classification icon ecg_r_peak_detection_and_classification

This project uses Digital Signal Processing techniques to detect R-peaks using both Pan Tompkins algorithm and Discrete Wavelet Transform. Patient diagnostics are obtained using continuous wavelet transform in preprocessing and transfer learning for multiclass classification using AlexNET

ecgdeli icon ecgdeli

This is ECGdeli - A selection of delicious algorithms for ECG delineation

ecgfeat icon ecgfeat

A collection of ECG feature extraction algorithms

ecgitool icon ecgitool

MATLAB Toolbox for ECG imaging problem, ecg-filtering, ecg-deliminator

eigenclass icon eigenclass

A Precise and Stable Machine Learning Algorithm: Eigenvalue Classification (EigenClass)

electrocardiography-ecg-analysis icon electrocardiography-ecg-analysis

This repository contains MATLAB code for basic ECG (Electrocardiogram) signal analysis and feature extraction. The code demonstrates how to load ECG data, plot the signal, calculate R-R intervals, assess heart rate variability (HRV), and analyze electrical alternans.

emg-feature-extraction-toolbox icon emg-feature-extraction-toolbox

This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.

estimating-hrv-features icon estimating-hrv-features

# Thesis work: It presents the effect of missing data on HRV analysis and find the optimal method. Besides, it differentiates the different arrythmias based on the spectral entropy value.

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