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Reseach Article

Smart Sensor Design Analysis in Brain Machine Interface using Labview

by Mamatha M.N., S. Ramachandran, M.Chandrasekaran
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 17 - Number 2
Year of Publication: 2011
Authors: Mamatha M.N., S. Ramachandran, M.Chandrasekaran
10.5120/2196-2790

Mamatha M.N., S. Ramachandran, M.Chandrasekaran . Smart Sensor Design Analysis in Brain Machine Interface using Labview. International Journal of Computer Applications. 17, 2 ( March 2011), 1-5. DOI=10.5120/2196-2790

@article{ 10.5120/2196-2790,
author = { Mamatha M.N., S. Ramachandran, M.Chandrasekaran },
title = { Smart Sensor Design Analysis in Brain Machine Interface using Labview },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 17 },
number = { 2 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume17/number2/2196-2790/ },
doi = { 10.5120/2196-2790 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:33.595001+05:30
%A Mamatha M.N.
%A S. Ramachandran
%A M.Chandrasekaran
%T Smart Sensor Design Analysis in Brain Machine Interface using Labview
%J International Journal of Computer Applications
%@ 0975-8887
%V 17
%N 2
%P 1-5
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes a sensory system for implementing a human–computer interface based on bio-potential signal acquisition. The designed acquisition system captures electro oculogram, EEG and transmits them via the RF protocol to a nearby robot. The human machine interface developed will assist a partially paralyzed patients suffering from stoke, etc by helping them to lift the objects in the vicinity of the patient by using the bio-potentials ,thereby controlling the movement of the designed robot. The data acquired are analyzed in real time using a FPGA-based platform. By exploiting the qualities of MULTISIM functionality, design complexity, the design time of these signal circuits can be significantly reduced. Also a comparative analysis is done to prove the design of the hardware developed is accurate to an extent of 90%. The paper aims at the verification and analysis of the developed/designed smart sensors with the design employed using MULTISIM package developed by NI-lab VIEW.

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Index Terms

Computer Science
Information Sciences

Keywords

Patient care and monitoring Bed side monitors Central nurse station Zigbee Electrooculogram