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dsp-theory

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

ecg

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

ecg-acquisition-classification

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning

ecg-annotation-dash

ecg-classification

ecg-classification-1

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

ecg-data-acquisition-board-ad8232

This is a project done at the University of Malaga during a final Project Thesis. The aim of this project is to develope a ECG, a device that can measure the heart's electrical signal.

ecg-kit

A Matlab toolbox for cardiovascular signal processing

ecg-mit-bih

ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at

ecg-ml-dl-algorithm-python

Basic Algorithm For Beginners （Python version）

ecg_cnn_tflite

ecg_heartbeat_classification

CNN for heartbeat classification

ecganalyzer

I worked on a TinyML application powered by Edge Impulse to develop a mini-Diagnosis ECG analyzer device which can fit on a pocket and it can diagnose heart diseases independently without an Internet.

ecgdenoisingtool

ecgsyn-python

ECGSYN: A realistic ECG waveform generator implemented in Python 3.6

enhancementing-method-for-stemi-detection

Official source code of Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG

frecg

Simple Web Application for labeling ECG Signal

healthsphere

Holter monitor with heart rate analysis, Azure cloud based and dashboard.

hrv-analysis

Package for Heart Rate Variability analysis in Python

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-gradcam

Keras implementation of GradCAM.

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

keras_to_tensorflow

General code to convert a trained keras model into an inference tensorflow model

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

liblsl

C++ lsl library for multi-modal time-synched data transmission over the local network

licence_plate_recognition

machinelearningtutorials

mish

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

mnelab

MNELAB - a GUI for MNE

moanna

Multi-Omics Neural Network Algorithm for Predicting Breast Cancer Subtypes