Implementation of electroencephalography controlled prosthetic hand

Syed Tahir Hussain Rizvi; Mansoor Karim; Muhammad Majid Gulzar; Muhammad Yaqoob Javed; Muhammad Furqan

doi:10.1504/IJSCC.2018.090734

Implementation of electroencephalography controlled prosthetic hand

Syed Tahir Hussain Rizvi
, Mansoor Karim
, Muhammad Majid Gulzar^*
, Muhammad Yaqoob Javed
, Muhammad Furqan

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

The purpose of brain machine interface (BMI) is to provide a communication path between brain signals and external devices. Use of brain signals for restoring function of impaired body parts using scientific methods require brain machine interface. This article presents BMI to control five-fingered prosthetic hand using the electroencephalography (EEG) signals. The core objective of the system is to develop a control system that will be able to communicate with the brain thoughts. EEG signals captured from the human scalp are used as information carrier for brain control interface (BCI) system. This research article discusses the development of a system to assist disable persons using EEG based signals.

Original language	English
Journal	International Journal of Systems, Control and Communications
Volume	9
Issue number	2
DOIs	https://doi.org/10.1504/IJSCC.2018.090734
State	Published - 2018
Externally published	Yes

Bibliographical note

Publisher Copyright:
Copyright © 2018 Inderscience Enterprises Ltd.

Keywords

BCI
Brain control interface
Electroencephalography
Microcontroller
Physical implementation
Prosthetic hand

ASJC Scopus subject areas

Control and Systems Engineering

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10.1504/IJSCC.2018.090734

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title = "Implementation of electroencephalography controlled prosthetic hand",

abstract = "The purpose of brain machine interface (BMI) is to provide a communication path between brain signals and external devices. Use of brain signals for restoring function of impaired body parts using scientific methods require brain machine interface. This article presents BMI to control five-fingered prosthetic hand using the electroencephalography (EEG) signals. The core objective of the system is to develop a control system that will be able to communicate with the brain thoughts. EEG signals captured from the human scalp are used as information carrier for brain control interface (BCI) system. This research article discusses the development of a system to assist disable persons using EEG based signals.",

keywords = "BCI, Brain control interface, Electroencephalography, Microcontroller, Physical implementation, Prosthetic hand",

author = "Rizvi, \{Syed Tahir Hussain\} and Mansoor Karim and Gulzar, \{Muhammad Majid\} and Javed, \{Muhammad Yaqoob\} and Muhammad Furqan",

note = "Publisher Copyright: Copyright {\textcopyright} 2018 Inderscience Enterprises Ltd.",

year = "2018",

doi = "10.1504/IJSCC.2018.090734",

language = "English",

volume = "9",

journal = "International Journal of Systems, Control and Communications",

issn = "1755-9340",

publisher = "Inderscience",

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TY - JOUR

T1 - Implementation of electroencephalography controlled prosthetic hand

AU - Rizvi, Syed Tahir Hussain

AU - Karim, Mansoor

AU - Gulzar, Muhammad Majid

AU - Javed, Muhammad Yaqoob

AU - Furqan, Muhammad

PY - 2018

Y1 - 2018

N2 - The purpose of brain machine interface (BMI) is to provide a communication path between brain signals and external devices. Use of brain signals for restoring function of impaired body parts using scientific methods require brain machine interface. This article presents BMI to control five-fingered prosthetic hand using the electroencephalography (EEG) signals. The core objective of the system is to develop a control system that will be able to communicate with the brain thoughts. EEG signals captured from the human scalp are used as information carrier for brain control interface (BCI) system. This research article discusses the development of a system to assist disable persons using EEG based signals.

AB - The purpose of brain machine interface (BMI) is to provide a communication path between brain signals and external devices. Use of brain signals for restoring function of impaired body parts using scientific methods require brain machine interface. This article presents BMI to control five-fingered prosthetic hand using the electroencephalography (EEG) signals. The core objective of the system is to develop a control system that will be able to communicate with the brain thoughts. EEG signals captured from the human scalp are used as information carrier for brain control interface (BCI) system. This research article discusses the development of a system to assist disable persons using EEG based signals.

KW - BCI

KW - Brain control interface

KW - Electroencephalography

KW - Microcontroller

KW - Physical implementation

KW - Prosthetic hand

UR - https://www.scopus.com/pages/publications/85086416323

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DO - 10.1504/IJSCC.2018.090734

M3 - Article

AN - SCOPUS:85086416323

SN - 1755-9340

VL - 9

JO - International Journal of Systems, Control and Communications

JF - International Journal of Systems, Control and Communications

IS - 2

ER -

Implementation of electroencephalography controlled prosthetic hand

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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