Detection of a maximum blood flow velocity variation in the carotid artery during physical exercise using BPNN

To know a characteristic of the whole blood cardiovascular system, we need to measure the blood flow respond in relation to giving exercise stress to our body. In this paper, we have developed a noninvasive device to be able to measure blood flow velocity in the carotid during physical exercise by u...

Full description

Bibliographic Details
Main Authors:	Kamiya, Tatsuaki, Noor Azmi, Azran Azhim, Akutagawa, Masatake, Yamaguchi, Hisao, Nomura, Masaharu, Obara, Shigeru, Tanaka, Hiroyuki, Yoshizaki, Kazuo, Kinouchi, Yohsuke
Format:	Conference or Workshop Item
Language:	English
Published:	Springer Berlin Heidelberg 2007
Subjects:	TP248.13 Biotechnology
Online Access:	http://irep.iium.edu.my/44126/ http://irep.iium.edu.my/44126/ http://irep.iium.edu.my/44126/ http://irep.iium.edu.my/44126/1/Detection_of_a_Maximum_Blood_Flow_Velocity_Variation_in_the_Carotid_Artery_during_Physical_Exercise_using_BPNN.pdf

id	iium-44126
recordtype	eprints
spelling	iium-441262015-08-17T06:31:57Z http://irep.iium.edu.my/44126/ Detection of a maximum blood flow velocity variation in the carotid artery during physical exercise using BPNN Kamiya, Tatsuaki Noor Azmi, Azran Azhim Akutagawa, Masatake Yamaguchi, Hisao Nomura, Masaharu Obara, Shigeru Tanaka, Hiroyuki Yoshizaki, Kazuo Kinouchi, Yohsuke TP248.13 Biotechnology To know a characteristic of the whole blood cardiovascular system, we need to measure the blood flow respond in relation to giving exercise stress to our body. In this paper, we have developed a noninvasive device to be able to measure blood flow velocity in the carotid during physical exercise by using a Doppler ultrasound method. The purpose of this study is that we focus attention on measured maximum blood flow velocity (Vmax) and analyze the physiological function change of blood flow dynamic system in the carotid during physical exercise by a cicycle-ergometer. Generally biological information (eg. brain wave) is known as a nonlinear signal. Correspondingly, neural networks (NN) have recently been known as one of nonlinear signals analysis tools. For such occasions, we suggest that we identify Vmax (non-linear time series) variation using an MA (Moving Average) model associated with back-propagation (BP) algorithm. After simulating Vmax variation, we found out that the neural network (BPNN) can capture the regularity from that, and the adaptive changes of the system dynamics are evaluated in the connection-weight-space (CWS), a kind of internal representation of the trained network. As a result, we can abstract respective characteristic from that. This technique is expected to estimate a physical exercise quantitatively and rehabilitation training. Springer Berlin Heidelberg 2007 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/44126/1/Detection_of_a_Maximum_Blood_Flow_Velocity_Variation_in_the_Carotid_Artery_during_Physical_Exercise_using_BPNN.pdf Kamiya, Tatsuaki and Noor Azmi, Azran Azhim and Akutagawa, Masatake and Yamaguchi, Hisao and Nomura, Masaharu and Obara, Shigeru and Tanaka, Hiroyuki and Yoshizaki, Kazuo and Kinouchi, Yohsuke (2007) Detection of a maximum blood flow velocity variation in the carotid artery during physical exercise using BPNN. In: World Congress on Medical Physics and Biomedical Engineering 2006 - IFMBE Proceedings, August 27 – September 1, 2006, COEX Seoul, Korea. http://dx.doi.org/10.1007/978-3-540-36841-0_861 doi:10.1007/978-3-540-36841-0_861
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TP248.13 Biotechnology
spellingShingle	TP248.13 Biotechnology Kamiya, Tatsuaki Noor Azmi, Azran Azhim Akutagawa, Masatake Yamaguchi, Hisao Nomura, Masaharu Obara, Shigeru Tanaka, Hiroyuki Yoshizaki, Kazuo Kinouchi, Yohsuke Detection of a maximum blood flow velocity variation in the carotid artery during physical exercise using BPNN
description	To know a characteristic of the whole blood cardiovascular system, we need to measure the blood flow respond in relation to giving exercise stress to our body. In this paper, we have developed a noninvasive device to be able to measure blood flow velocity in the carotid during physical exercise by using a Doppler ultrasound method. The purpose of this study is that we focus attention on measured maximum blood flow velocity (Vmax) and analyze the physiological function change of blood flow dynamic system in the carotid during physical exercise by a cicycle-ergometer. Generally biological information (eg. brain wave) is known as a nonlinear signal. Correspondingly, neural networks (NN) have recently been known as one of nonlinear signals analysis tools. For such occasions, we suggest that we identify Vmax (non-linear time series) variation using an MA (Moving Average) model associated with back-propagation (BP) algorithm. After simulating Vmax variation, we found out that the neural network (BPNN) can capture the regularity from that, and the adaptive changes of the system dynamics are evaluated in the connection-weight-space (CWS), a kind of internal representation of the trained network. As a result, we can abstract respective characteristic from that. This technique is expected to estimate a physical exercise quantitatively and rehabilitation training.
format	Conference or Workshop Item
author	Kamiya, Tatsuaki Noor Azmi, Azran Azhim Akutagawa, Masatake Yamaguchi, Hisao Nomura, Masaharu Obara, Shigeru Tanaka, Hiroyuki Yoshizaki, Kazuo Kinouchi, Yohsuke
author_facet	Kamiya, Tatsuaki Noor Azmi, Azran Azhim Akutagawa, Masatake Yamaguchi, Hisao Nomura, Masaharu Obara, Shigeru Tanaka, Hiroyuki Yoshizaki, Kazuo Kinouchi, Yohsuke
author_sort	Kamiya, Tatsuaki
title	Detection of a maximum blood flow velocity variation in the carotid artery during physical exercise using BPNN
title_short	Detection of a maximum blood flow velocity variation in the carotid artery during physical exercise using BPNN
title_full	Detection of a maximum blood flow velocity variation in the carotid artery during physical exercise using BPNN
title_fullStr	Detection of a maximum blood flow velocity variation in the carotid artery during physical exercise using BPNN
title_full_unstemmed	Detection of a maximum blood flow velocity variation in the carotid artery during physical exercise using BPNN
title_sort	detection of a maximum blood flow velocity variation in the carotid artery during physical exercise using bpnn
publisher	Springer Berlin Heidelberg
publishDate	2007
url	http://irep.iium.edu.my/44126/ http://irep.iium.edu.my/44126/ http://irep.iium.edu.my/44126/ http://irep.iium.edu.my/44126/1/Detection_of_a_Maximum_Blood_Flow_Velocity_Variation_in_the_Carotid_Artery_during_Physical_Exercise_using_BPNN.pdf
first_indexed	2023-09-18T21:02:46Z
last_indexed	2023-09-18T21:02:46Z
_version_	1777410734046576640

Detection of a maximum blood flow velocity variation in the carotid artery during physical exercise using BPNN

Similar Items