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Brain Computer Interface (BCI) Applications

 
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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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Contact Details for Techno Commercial Information

DR ALEXANDER G
Group Head,
Health Informatics & Software Technology Group,
C-DAC,Thiruvananthapuram
email - alex@cdac.in