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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...

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Detalles Bibliográficos
Autores principales: Sung, Wen-Tsai, Chen, Jui-Ho, Chang, Kung-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
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.
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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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