TY - GEN
T1 - Implementation of a brain-machine interface for controlling a wheelchair
AU - Alvarado-Díaz, Witman
AU - Meneses-Claudio, Brian
AU - Roman-Gonzalez, Avid
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/19
Y1 - 2017/12/19
N2 - In the present project it is focused on patients Amotrophy Lateral Sclerosis (ALS), so these patients do not have control of their motor functions therefore are unable to move on their own, requiring third party assistance to move with his wheelchair. Patients of Amyotrophic Lateral Sclerosis do not lose their cognitive ability, which is why you can use it to control his wheelchair as part of a computer chandler system using Cyton board of open BCI brain signals is extracted and with the help of deep learning classification of signals, so the patient can move their own means be held. In this project it was possible to perform communication computer brain, in addition to the proper functioning of the system, in addition it was possible to implement a security system that protects the patient against accidents, so the patient is safer to move; whole system gives the patient, partial independence and thus improve their quality of life.
AB - In the present project it is focused on patients Amotrophy Lateral Sclerosis (ALS), so these patients do not have control of their motor functions therefore are unable to move on their own, requiring third party assistance to move with his wheelchair. Patients of Amyotrophic Lateral Sclerosis do not lose their cognitive ability, which is why you can use it to control his wheelchair as part of a computer chandler system using Cyton board of open BCI brain signals is extracted and with the help of deep learning classification of signals, so the patient can move their own means be held. In this project it was possible to perform communication computer brain, in addition to the proper functioning of the system, in addition it was possible to implement a security system that protects the patient against accidents, so the patient is safer to move; whole system gives the patient, partial independence and thus improve their quality of life.
KW - Amyotrophic Lateral Sclerosis
KW - Brain-machine interface
KW - Deep learning
KW - Electroencephalogram
KW - Matlab
KW - Open BCI
UR - http://www.scopus.com/inward/record.url?scp=85042728863&partnerID=8YFLogxK
U2 - 10.1109/CHILECON.2017.8229668
DO - 10.1109/CHILECON.2017.8229668
M3 - Contribución a la conferencia
AN - SCOPUS:85042728863
T3 - 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings
SP - 1
EP - 6
BT - 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017
Y2 - 18 October 2017 through 20 October 2017
ER -