A Review on Electroencephalogram Based Brain Computer Interface for Elderly Disabled

Lack of communication causes problems for patients with neurodegenerative diseases, so the need for alternative methods is required to convey their thoughts with caretakers, friends, and family members. Brain-computer interface (BCI) is a device to control external devices by using mental thoughts w...

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Main Authors: Xin Wan, Kezhong Zhang, S. Ramkumar, J. Deny, G. Emayavaramban, M. Siva Ramkumar, Ahmed Faeq Hussein
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8671703/
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author Xin Wan
Kezhong Zhang
S. Ramkumar
J. Deny
G. Emayavaramban
M. Siva Ramkumar
Ahmed Faeq Hussein
author_facet Xin Wan
Kezhong Zhang
S. Ramkumar
J. Deny
G. Emayavaramban
M. Siva Ramkumar
Ahmed Faeq Hussein
author_sort Xin Wan
collection DOAJ
description Lack of communication causes problems for patients with neurodegenerative diseases, so the need for alternative methods is required to convey their thoughts with caretakers, friends, and family members. Brain-computer interface (BCI) is a device to control external devices by using mental thoughts without any other muscle movements to improve the communication quality for the disabled individual without any other help. The techniques of measuring electrical signal around the scalp during some activities by using electrodes are called electroencephalogram (EEG). By combining these two technologies together to form a brain-computer interaction, this helps the paralyzed individual to communicate with others to share the thoughts. In this paper, we deal with the history of EEG, electrode placements with measurements, and signal ranges, and also further discussed some of the prominent studies completed in designing BCI using EEG. This helps the new researchers to know the EEG measurement and position completely and paved the new way to create EEG-based interface research.
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spelling doaj.art-9d622e4b54d14f48a91dc1d98fa4c01d2022-12-21T18:15:10ZengIEEEIEEE Access2169-35362019-01-017363803638710.1109/ACCESS.2019.29032358671703A Review on Electroencephalogram Based Brain Computer Interface for Elderly DisabledXin Wan0https://orcid.org/0000-0002-1040-7088Kezhong Zhang1S. Ramkumar2J. Deny3G. Emayavaramban4https://orcid.org/0000-0002-9443-7419M. Siva Ramkumar5Ahmed Faeq Hussein6https://orcid.org/0000-0003-2483-0028School of Management, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Management, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Computing, Kalasalingam Academy of Research and Education, Virudhunagar, IndiaSchool of Electronics and Electrical Technology, Kalasalingam Academy of Research and Education, Virudhunagar, IndiaDepartment of Electric and Electronic Engineering, Karpagam Academy of Higher Education, Coimbatore, IndiaDept. of Electr. & Electron. Eng., Karpagam Acad. of Higher Educ., Coimbatore, IndiaBio-Medical Engineering Department, Faculty of Engineering, Al-Nahrain University, Baghdad, IraqLack of communication causes problems for patients with neurodegenerative diseases, so the need for alternative methods is required to convey their thoughts with caretakers, friends, and family members. Brain-computer interface (BCI) is a device to control external devices by using mental thoughts without any other muscle movements to improve the communication quality for the disabled individual without any other help. The techniques of measuring electrical signal around the scalp during some activities by using electrodes are called electroencephalogram (EEG). By combining these two technologies together to form a brain-computer interaction, this helps the paralyzed individual to communicate with others to share the thoughts. In this paper, we deal with the history of EEG, electrode placements with measurements, and signal ranges, and also further discussed some of the prominent studies completed in designing BCI using EEG. This helps the new researchers to know the EEG measurement and position completely and paved the new way to create EEG-based interface research.https://ieeexplore.ieee.org/document/8671703/Electroencephalogramspinal cord injurylocked in stateartificial neural networkbrain computer interfacesupport vector machine
spellingShingle Xin Wan
Kezhong Zhang
S. Ramkumar
J. Deny
G. Emayavaramban
M. Siva Ramkumar
Ahmed Faeq Hussein
A Review on Electroencephalogram Based Brain Computer Interface for Elderly Disabled
IEEE Access
Electroencephalogram
spinal cord injury
locked in state
artificial neural network
brain computer interface
support vector machine
title A Review on Electroencephalogram Based Brain Computer Interface for Elderly Disabled
title_full A Review on Electroencephalogram Based Brain Computer Interface for Elderly Disabled
title_fullStr A Review on Electroencephalogram Based Brain Computer Interface for Elderly Disabled
title_full_unstemmed A Review on Electroencephalogram Based Brain Computer Interface for Elderly Disabled
title_short A Review on Electroencephalogram Based Brain Computer Interface for Elderly Disabled
title_sort review on electroencephalogram based brain computer interface for elderly disabled
topic Electroencephalogram
spinal cord injury
locked in state
artificial neural network
brain computer interface
support vector machine
url https://ieeexplore.ieee.org/document/8671703/
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