Document Detail


A novel online method to monitor autonomic nervous activity based on arterial wall impedance and heart rate variability.
MedLine Citation:
PMID:  20127286     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
This paper proposes a new method of evaluating autonomic nervous activity using the mechanical impedance of arterial walls and heart rate variability. The cardiovascular system is indispensable to life maintenance functions, and homeostasis is maintained by the autonomic nervous system. Accordingly, it is very important to be able to make diagnosis based on autonomic nervous activity within the body's circulation. The proposed method was evaluated in surgical operations; the mechanical impedance of the arterial wall was estimated from arterial blood pressure and a photoplethysmogram, and heart rate variability was estimated using electrocardiogram R-R interval spectral analysis. In this paper, we monitored autonomic nervous system activity using the proposed system during endoscopic transthoracic sympathetic block surgery in eight patients with hyperhidrosis. The experimental results indicated that the proposed system can be used to estimate autonomic nervous activity in response to events during operations.
Authors:
Abdugheni Kutluk; Toshio Tsuji; Teiji Ukawa; Ryuji Nakamura; Noboru Saeki; Masao Yoshizumi; Masashi Kawamoto
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-02-02
Journal Detail:
Title:  Medical & biological engineering & computing     Volume:  48     ISSN:  1741-0444     ISO Abbreviation:  Med Biol Eng Comput     Publication Date:  2010 Apr 
Date Detail:
Created Date:  2010-03-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7704869     Medline TA:  Med Biol Eng Comput     Country:  United States    
Other Details:
Languages:  eng     Pagination:  351-9     Citation Subset:  IM    
Affiliation:
Graduate School of Engineering, Hiroshima University, Higashi, Hiroshima, Japan. akutluk@bsys.hiroshima-u.ac.jp
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