Single channel Event related (De)synchronization(ERD/ERS) analysis of motor execution in stroke affected foot drop subjects

Abstract

Motor execution induces variation in the amplitude of the ongoing electrical activity of the brain or the electroencephalogram(EEG) of the brain.The relative power decrease in sensorimotor rhythms,mu rhythm(8-13 Hz) and beta rhythm(14-30 Hz),of EEG is referred to as Event related desychronization(ERD)and increase in their relative power is referred to as Event related synchronization(ERS). In this study, we examine mu and beta ERD/ERS during attempted foot dorsiflexion movement of stroke affected foot drop subjects and normal subjects. Single channel EEG at Cz location according to 10-20 electrode system was recorded for brief period of 6 minutes for ten stroke and ten healthy subjects. Maximum amplitude and latency of the ERD/ERS was computed for each of the group. This work addresses the question whether stroke subjects are able to produce similar ERD and ERS electrophysiological signal components as compared to the healthy subjects, which can be used as a reliable signal component for EEG based brain computer (BCI) system design for neurorehabilitation of the subjects.

Decoding the EEG patterns induced by sequential finger movement for brain-computer interfaces

“…Actual movement can evoke more significant MRCP features than MI tasks. Based on the similarity of neural oscillatory patterns of MI and motor execution, we could develop new paradigms and algorithms for movement-intention decoding through actual movement experiments ( Jackson et al, 2003 ; Sochůrková et al, 2006 ; Katsumata et al, 2009 ; Sandhya et al, 2014 ).…”

A Synchronous Motor Imagery Based Neural Physiological Paradigm for Brain Computer Interface Speller

“…Electroencephalogram (EEG) is commonly used for BCI. This technology is developed based on neurophysiological patterns such as event related potentials (ERPs) (Blankertz et al, 2011 ; Zhang et al, 2012 ; Jin et al, 2014 ; Yeom et al, 2014 ), slow cortical potentials (Mensh et al, 2004 ; Kübler and Birbaumer, 2008 ), event-related desynchronization/synchronization (Pfurtscheller and Neuper, 2006 ; Pfurtscheller et al, 2010 ; Lisi et al, 2014 ; Sandhya et al, 2014 ) and steady-state evoked potentials (SSVEPs) (Müller-Putz and Pfurtscheller, 2008 ; Wang et al, 2008 ; Allison et al, 2010 ). BCI speller is one of the common BCI-based applications that paralyzed patients use to express their thoughts (Allison and Pineda, 2003 ; Krusienski et al, 2008 ).…”