# Azheimer-s-Classification-using-EEG-Signals

**Repository Path**: Felix660/Azheimer-s-Classification-using-EEG-Signals

## Basic Information

- **Project Name**: Azheimer-s-Classification-using-EEG-Signals
- **Description**: Project aim is to design a non-invasive diagnosis tool for Alzheimer's disease using software implementation in MATLAB.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-16
- **Last Updated**: 2021-06-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Azheimer's Disease detection using EEG Signal analysis and Machine Learning Techniques
The project aim is to design a non-invasive diagnosis tool for Alzheimer's disease using software implementation in MATLAB.
Preprocessing was done using signal processing algorithms and filtering the data.
Data segmentation was done using FFT and obtaining the beta and theta sub-bands of the data.
KNN and SVM algorithms were used to classify the data.