Brief Description

BCI is a promising technology witnessing rapid progress in recent years capable of directly using brain signals as a communication and control channel.This technology has great potential to play a critical role in neurological disease detection, prediction & rehabilitation. BCI is becoming a key component in the assistive technology and other applications field.

A software with minimum features is designed and developed for analyzing EEG data, EEG Microstate analysis, detection and Prediction of Epileptic Seizure disease.

Features & Specifications

• Real time Data Visualization (EEG,EMG,EOG)

• Non-invasiive sensors for data acquisition

• Preprocessing Filters & artifact Removal algorithms

• Advanced Signal Processing based Feature Extraction

• Analyzing EEG features

• Machine learning Modules

• EEG Microstate Analysis module

Target Applications/End Users

• Research community in the BCI domain

Installations/Deployments/Validation

• Prototype application for Seizure Prediction - Tested & validated with the support of SCTIMST, Thiruvananthapuram

• Prototype application for Memory dysfunction analysis – Testing & validation is in progress with the support of SCTIMST, Thiruvananthapuram
   

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