TY - GEN
T1 - Analysis of Walking Movement Using EEG for the Lower-Limb Paralysis
AU - Sanguantrakul, Jongsook
AU - Soontreekulpong, Nattawat
AU - Trakoolwilaiwan, Thanawin
AU - Wongsawat, Yodchanan
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - The relationship between brain activity and lower-limb movement has been investigated for several decades. Due to brain activity, the motor cortex area has been represented for the movement controlled by the brain including pattern generation and adaptation. One of the techniques, Brain-computer Interface (BCI), has been developed which makes people interacted with computers to command devices or their bodies using their thought. This work aims to analyze brain signals of walking movement imagine and to reduce the number of EEG channels for lower-limb activity thinking. Each participant has participated in this work for 2 parts (idle and walking movement imagine part) on the same date. At first, all participants were started with idle part and the next is walking movement imagine part for every day of the experiment. The participants were asked to report their general information and acquired a brief protocol about the experiment. The significant differences indicated that changes in alpha and beta activity in the central region are varied for imagining each activity, which has been related to dominant middle activity in the center on the front region. Especially, the change of absolute power of both alpha and beta power activity in the left central area during imagine turn right. The variation of alpha and beta EEG wave is affecting to imagine walking movement. This work has also reduced the channels of EEG for the lower-limb activity of human beings to 4 channels.
AB - The relationship between brain activity and lower-limb movement has been investigated for several decades. Due to brain activity, the motor cortex area has been represented for the movement controlled by the brain including pattern generation and adaptation. One of the techniques, Brain-computer Interface (BCI), has been developed which makes people interacted with computers to command devices or their bodies using their thought. This work aims to analyze brain signals of walking movement imagine and to reduce the number of EEG channels for lower-limb activity thinking. Each participant has participated in this work for 2 parts (idle and walking movement imagine part) on the same date. At first, all participants were started with idle part and the next is walking movement imagine part for every day of the experiment. The participants were asked to report their general information and acquired a brief protocol about the experiment. The significant differences indicated that changes in alpha and beta activity in the central region are varied for imagining each activity, which has been related to dominant middle activity in the center on the front region. Especially, the change of absolute power of both alpha and beta power activity in the left central area during imagine turn right. The variation of alpha and beta EEG wave is affecting to imagine walking movement. This work has also reduced the channels of EEG for the lower-limb activity of human beings to 4 channels.
KW - Electroencephalogram (EEG)
KW - imaginary movement
KW - lower-limb
KW - walking
UR - http://www.scopus.com/inward/record.url?scp=85080075406&partnerID=8YFLogxK
U2 - 10.1109/BMEiCON47515.2019.8990321
DO - 10.1109/BMEiCON47515.2019.8990321
M3 - Conference contribution
AN - SCOPUS:85080075406
T3 - BMEiCON 2019 - 12th Biomedical Engineering International Conference
BT - BMEiCON 2019 - 12th Biomedical Engineering International Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th Biomedical Engineering International Conference, BMEiCON 2019
Y2 - 19 November 2019 through 22 November 2019
ER -