Brain Computer Interface (BCI) Applications

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.

Use Cases

• Research community in the BCI domain

Salient Features

• 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