Machine learning pipeline for classifying Penyakit Jantung Koroner (PJK / Coronary Heart Disease) using multiple algorithms including Random Forest, Gradient Boosting Machine, Artificial Neural Net…

A desktop application for generating realistic synthetic electrocardiogram (ECG) signals

A Delphi-based desktop application for simulating and visualizing wrist joint biomechanics with real-time 3D rendering and PID-based motion control.

ECG signal processing application implementing IIR digital filters and QRS complex detection based on the ET (Exponential Transform) and PD (Proportional-Derivative) Controller

Digital filter design (IIR and FIR) and ECG signal segmentation with spectral analysis.

Fast Fourier Transform (FFT) algorithms with practical applications in signal processing and ECG analysis.

A decision support system for classifying cardiac arrhythmias using a Multi-Layer Perceptron (ANN)

A decision support system for classifying human gait phases using a Multi-Layer Perceptron (ANN)

A pattern recognition system for classifying handwritten-style characters (A-H) using a Multi-Layer Perceptron (ANN)

A Python implementation of two popular clustering algorithms: Hard C-Means (HCM) and Fuzzy C-Means (FCM)

A Python-based fuzzy decision support system

A real-time data acquisition and filtering system using an STM32 microcontroller and a Python-based visualization tool

A Streamlit app for CWT & FFT signal analysis with PCG feature detection, built entirely from scratch.

A Python-based framework for analyzing Photoplethysmography (PPG) signals to extract respiratory rates and calculate comprehensive Heart Rate Variability (HRV) metrics using Wavelet Transforms

This folder contains tools for analyzing physiological data extracted from PPG signals and correlating them with DASS-21 scores.

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