Feature selection and classification of brain signals for rehabilitative applications

Prof. Amit Konar

Artificial Intelligence Laboratory,

Department of Electronics and Tele-Communication Engineering,

Jadavpur University, Kolkata


Abstract: Brain-computer interfacing (BCI) is currently gaining popularity for its increasing importance in bio-medical and rehabilitative applications. This tutorial aims at offering an introduction to design and development issues of BCI systems for neuro-prosthetic applications. Special emphasis would be given to EEG (electroencephalography) and fNIRs (functional Near Infrared spectroscopy) based system design with a focus to pre-processing, feature extraction, feature selection, classification and control aspects of the design. Feature selection algorithms to be covered include Principal Component Analysis (PCA), Independent Component Analysis (ICA), Common Spatial Patterns (CSP) and evolutionary techniques. Pattern recognition techniques to be offered includes Naïve Bayes, support vector machines, feed-forward neural classifiers and recurrent neural topologies. Main attraction of this tutorial lies in the practical perspectives of system design for upper limb prosthesis and rehabilitation, cognitive load detection in human subjects during complex problem solving, detection of cognitive failures in driving, and movement control of artificial limbs for patients with brain injury during his/her participation in tennis games.

Short Biography: Prof. Amit Konar is currently a Professor in the department of Electronics and Tele-Communication Engineering, Jadavpur University, Calcutta, India, and Joint Coordinator, Center for Cognitive Science, Jadavpur University. He is also the founding coordinator of a regular M.Tech. program on Intelligent Automation and Robotics, offered by Jadavpur University.

Dr. Konar has been teaching and carrying out research work at this university for the past 23 years. Jadavpur University is one of the top three universities in India. The faculty of Engineering and Technology, with more than 100 externally funded research projects, earned recognition as a "Center for Excellence" from the Government of India, and the university got the “Five Star” rating. The doctoral, master’s, and bachelor’s programs offered by the university are acknowledged as one of the very best in the country.