Kapil Singh Rathore's Projects
Biosignal Processing in Python
CardIO is a library for data science research of heart signals
Crafting Test-Driven Software with Python, published by Packt
Cracking the Coding Interview 6th Ed. C++ Solutions
Deep learning for ECG denoising and analysis
Scripts for learning deep models to recognise human activity
First deep learning project since 2017 (Numao Lab Osaka)
MATLAB Code for the indirect estimation of the respiratory rate based on ECG signals
Simple autoencoder for ECG denoise. Built on Keras.
Extraction of ECG data features (hrv) using python
Basic Algorithm For Beginners (Python version)
A python script to process raw ECG signals and impute the peaks and heartbeats following noise suppression to obtain processed ECG
Feature Extraction of ECG
Applying GAN to denoising ECGI signal
Estimate real-time energy expenditure values by measuring multiple physiological variables (HR, acc, temp, gsr...)
Supervised machine learning Python scripts for creating accurate and easily accessible model of calorie requirement estimation.
This repository contains the biomechanics datasets, code to train learning models, and final model parameters for our work in rapid energy expenditure estimation for assisted and inclined loaded walking.
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
The fastai book, published as Jupyter Notebooks
Python Heart Rate Analysis Package, for both PPG and ECG signals
Implementation of an heart rate analysis (HRV) algorithm for spectral analysis in noisy ECG signals by Yaghouby et al. (2016).