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astc-encoder

The Arm ASTC Encoder, a compressor for the Adaptive Scalable Texture Compression data format.

back-propagation-neural-network-classification-algorithm-of-ecg-signal

In the ECG automatic classification system, the accuracy of classification has always been an important part of scholars'research. Therefore, BP neural network is used to classify and recognize ECG signals in ECG automatic classification system.

diagnosis-of-cardiovascular-diseases

A proposed method for automated diagnosis of various diseases based on heart rate variability (HRV) analysis and machine learning. HRV analysis – consisting of time-domain analysis, frequency-domain analysis, and nonlinear analysis – is employed because its resulting parameters are unique for each disease and can be used as the statistical symptoms for each disease, while machine learning techniques are employed to automate the diagnosis process. The input data consist of electrocardiogram (ECG) recordings. The proposed method is divided into three main steps, namely dataset preparation step, machine learning step, and disease classification step. The dataset preparation step aims to prepare the training data for machine learning step from raw ECG signals, and to prepare the test data for disease classification step from raw RRI signals. The machine learning step aims to obtain the classifier model and its performance metric from the prepared dataset. The disease classification step aims to perform disease diagnosis from the prepared dataset and the classifier model. The implementation of data preparation step is subsequently described with satisfactory result.

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-classification

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

ecg-heartbeat-classification-seq2seq-model

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

happy-birthday

Wish your friend/loved-ones happy birthday in a nerdy way.

happy_birthday

copy..

happy_birthday1

neurokit

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

tiny-heart

happy birthday!

wxecganalyzer

This project is for Electrocardiogram(ECG) signal algorithms design and validation, include preprocessing, QRS-Complex detection, embedded system validation, ECG segmentation, label your machine learning dataset, and clinical trial...etc.