Title :
Detection of pre movement event — Related desynchronization from single trial EEG signal
Author :
Soman, Karthik ; Reddy, Patel ; Lakany, Heba
Author_Institution :
Bio Med. Dept., VIT Univ., Vellore, India
Abstract :
Brain Computer Interfacing provides a new of communication for the paralyzed persons affected with Amyotrophic Lateral Sclerosis, Spinal Cord Injury or Brain stem stroke. Detection of the occurrence of the events from the EEG signal from a single trial forms the basis for the real time implementation of BCI. The stochastic nature of EEG signal makes it a challenging one. This paper proposes a method by which event detection was done from a single trial of EEG signal by detecting the Mu Band ERD. The proposed method was compared with the conventional method for quantifying ERD. The statistical analysis using t test proved that at a confidence level of 95%, the proposed method detects the ERD occurrence time within a range of 90% of the conventional method.
Keywords :
adaptive filters; brain-computer interfaces; electroencephalography; injuries; medical disorders; medical signal detection; medical signal processing; neurophysiology; statistical analysis; stochastic processes; BCI; ERD occurrence time; amyotrophic lateral sclerosis; brain computer interfacing; brain stem stroke; conventional method; paralyzed persons; premovement event-related desynchronization detection; real time implementation; single trial EEG signal; spinal cord injury; statistical analysis; stochastic nature; Adaptive filters; Band-pass filters; Conferences; Electrodes; Electroencephalography; Electrooculography; Finite impulse response filters; Brain Computer Interface ALS; EEG; ERD; Mu Band;
Conference_Titel :
Information & Communication Technologies (ICT), 2013 IEEE Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-5759-3
DOI :
10.1109/CICT.2013.6558201