UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREL06020


Registration ID:
305987

Page Number

101-105

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Title

Brain Signal Analysis for Brain-Machine Communication

Abstract

Brain-Machine Communication (BMC) help to the disabled people those are not capable of using their hands or other body organs to communicate with the machine. The main objective of BMC systems is to convert brain signal into a digital signal that can understand by machine. The major problem in BMC research filed is to extract the features of brain signals, which are random time varying in nature and how to classify these features with desirable accurately. Extraction of features can be using various techniques, numbers of linear and non-linear feature extraction methods exist. Earlier brain signal analysis was only being done using visual inspection. Therefore, this manual inspection of brain signal is very limited to standardization or statistical analysis. However, several techniques have developed to quantify the brain signal’s information. The motive of this research is to provide a brief detail of brain signals and BMC system. The article is about the methods that are using to extract the feature of the brain signal.

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"Brain Signal Analysis for Brain-Machine Communication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.101-105, February-2019, Available :http://www.jetir.org/papers/JETIREL06020.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Brain Signal Analysis for Brain-Machine Communication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp101-105, February-2019, Available at : http://www.jetir.org/papers/JETIREL06020.pdf

Publication Details

Published Paper ID: JETIREL06020
Registration ID: 305987
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 101-105
Country: Kapurthala, Punjab, India .
Area: Engineering
ISSN Number: 2349-5162


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