Title
Implementation of a brain-machine interface for controlling a wheelchair
Date Issued
19 December 2017
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
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.
Start page
1
End page
6
Volume
2017-January
Language
English
OCDE Knowledge area
Tecnologías que implican la manipulación de células, tejidos, órganos o todo el organismo
Subjects
Scopus EID
2-s2.0-85042728863
ISBN of the container
9781538631232
Conference
2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings
Sources of information:
Directorio de Producción Científica
Scopus