Detection of pre movement event-related desynchronization from single trial EEG signal

Soman, Karthik and Reddy, Prabhav and Lakany, Heba; (2013) Detection of pre movement event-related desynchronization from single trial EEG signal. In: 2013 IEEE Conference on Information & Communication Technologies. IEEE, Piscataway, pp. 788-792. ISBN 9781467357593

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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.

Creators(s): Soman, Karthik, Reddy, Prabhav and Lakany, Heba ORCID logoORCID: https://orcid.org/0000-0003-3079-0392;
Item type:Book Section
ID code:60691
Keywords:electroencephalography, adaptive filters, band-pass filters, fintie impulse response filters, electrodes, electrooculography, brain computer interface, amyotrophic lateral sclerosis, mu band, EEG, ERD, Electronic computers. Computer science, Human-Computer Interaction
Subjects:Science > Mathematics > Electronic computers. Computer science
Department:Faculty of Engineering > Biomedical Engineering
Depositing user: Pure Administrator
Date deposited:17 May 2017 09:02
Last modified:20 Jan 2021 16:00
URI:https://strathprints.strath.ac.uk/id/eprint/60691
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