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Study on a Real-Time BEAM System for Diagnosis Assistance Based on a System on Chips Design
As an innovative as well as an interdisciplinary research project, this study performed an analysis of brain signals so as to establish BrainIC as an auxiliary tool for physician diagnosis. Cognition behavior sciences, embedded technology, system on chips (SOC) design and physiological signal proces...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690070/ https://www.ncbi.nlm.nih.gov/pubmed/23681095 http://dx.doi.org/10.3390/s130506552 |
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author | Sung, Wen-Tsai Chen, Jui-Ho Chang, Kung-Wei |
author_facet | Sung, Wen-Tsai Chen, Jui-Ho Chang, Kung-Wei |
author_sort | Sung, Wen-Tsai |
collection | PubMed |
description | As an innovative as well as an interdisciplinary research project, this study performed an analysis of brain signals so as to establish BrainIC as an auxiliary tool for physician diagnosis. Cognition behavior sciences, embedded technology, system on chips (SOC) design and physiological signal processing are integrated in this work. Moreover, a chip is built for real-time electroencephalography (EEG) processing purposes and a Brain Electrical Activity Mapping (BEAM) system, and a knowledge database is constructed to diagnose psychosis and body challenges in learning various behaviors and signals antithesis by a fuzzy inference engine. This work is completed with a medical support system developed for the mentally disabled or the elderly abled. |
format | Online Article Text |
id | pubmed-3690070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-36900702013-07-09 Study on a Real-Time BEAM System for Diagnosis Assistance Based on a System on Chips Design Sung, Wen-Tsai Chen, Jui-Ho Chang, Kung-Wei Sensors (Basel) Article As an innovative as well as an interdisciplinary research project, this study performed an analysis of brain signals so as to establish BrainIC as an auxiliary tool for physician diagnosis. Cognition behavior sciences, embedded technology, system on chips (SOC) design and physiological signal processing are integrated in this work. Moreover, a chip is built for real-time electroencephalography (EEG) processing purposes and a Brain Electrical Activity Mapping (BEAM) system, and a knowledge database is constructed to diagnose psychosis and body challenges in learning various behaviors and signals antithesis by a fuzzy inference engine. This work is completed with a medical support system developed for the mentally disabled or the elderly abled. Molecular Diversity Preservation International (MDPI) 2013-05-16 /pmc/articles/PMC3690070/ /pubmed/23681095 http://dx.doi.org/10.3390/s130506552 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Article Sung, Wen-Tsai Chen, Jui-Ho Chang, Kung-Wei Study on a Real-Time BEAM System for Diagnosis Assistance Based on a System on Chips Design |
title | Study on a Real-Time BEAM System for Diagnosis Assistance Based on a System on Chips Design |
title_full | Study on a Real-Time BEAM System for Diagnosis Assistance Based on a System on Chips Design |
title_fullStr | Study on a Real-Time BEAM System for Diagnosis Assistance Based on a System on Chips Design |
title_full_unstemmed | Study on a Real-Time BEAM System for Diagnosis Assistance Based on a System on Chips Design |
title_short | Study on a Real-Time BEAM System for Diagnosis Assistance Based on a System on Chips Design |
title_sort | study on a real-time beam system for diagnosis assistance based on a system on chips design |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690070/ https://www.ncbi.nlm.nih.gov/pubmed/23681095 http://dx.doi.org/10.3390/s130506552 |
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