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bcicivd2a

This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor imagery

bcicivd2a-fbcsp

Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python

electrocardiography-ecg-analysis

This repository contains MATLAB code for basic ECG (Electrocardiogram) signal analysis and feature extraction. The code demonstrates how to load ECG data, plot the signal, calculate R-R intervals, assess heart rate variability (HRV), and analyze electrical alternans.

fetal-ecg-extraction

This repository contains MATLAB code for the separation of fetal ECG from a mixed signal of maternal and fetal ECG using adaptive filtering.

imagecompression-kmeans

A MATLAB implementation of image compression using K-means clustering. This project demonstrates the application of K-means clustering for compressing an image by reducing the color palette of the image. This project is useful for understanding the basics of image compression and the application of clustering algorithms in image processing.

iv-2a

nn-based_mi_bci