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

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.

PDF - Published Version Restricted to Registered users only Download (395kB) | Request a copy

Abstract

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.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	7380/44126
Uncontrolled Keywords:	Vmax(maximum blood flow velocity), BPNN (backpropagation neural network), CWS (connectionweight-space)
Subjects:	T Technology > TP Chemical technology > TP248.13 Biotechnology
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Science > Department of Biotechnology
Depositing User:	Ir Dr Azran Azhim Noor Azmi
Date Deposited:	17 Aug 2015 14:31
Last Modified:	17 Aug 2015 14:31
URI:	http://irep.iium.edu.my/id/eprint/44126

Actions (login required)

View Item