IEEE

Non-Direct Contact ECG Signal Classification Using a Hybrid Deep Learning Framework with Validation in Bedside Heart Rate Variability Analysis

Abstract: In recent years, the demand for smart healthcare solutions have heightened the need for accuracy, reliability, and comfort in bedside ECG recording and analysis. This study presents a ...
GitHub

A Python-based AI agent that replicates Cursor's coding assistant capabilities, enabling function calling, code generation, and intelligent coding assistance with Claude ...

read_file: Read file contents with flexible line range control edit_file: Make precise edits to files with clear instructions Supports complete file replacement ...
IEEE

A GPSR-Based Sparse ECG Signal Recovery Approach for Hybrid Compressive Sensing Framework and Its Classification Using Deep Convolution Neural Network

Abstract: Research on Compressive Sensing (CS) framework for ECG signals are of 3 categories. Category 1) involves CS for a single frame of ECG signal and performance analysis of reconstructed frame.
GitHub

05-timeseries-classifications

This project applies ANNs, CNNs, LSTMs, and a Hybrid Transformer to classify ECG signals from the MIT-BIH dataset for arrhythmia detection. Includes preprocessing, class balancing, model comparison, ...