DocumentCode :
1289134
Title :
Chronic stress evaluation using neural networks
Author :
Fukuoka, Yutaka ; Ishida, A.
Author_Institution :
Inst. for Biomater. & Bioeng., Tokyo Med. & Dental Univ., Japan
Volume :
19
Issue :
1
fYear :
2000
Firstpage :
34
Lastpage :
38
Abstract :
Discusses noninvasively obtaining an objective index of stress using a five-layer neural network. The authors present a method to evaluate chronic stress of rats that is based on the electrocardiogram (ECG) using neural networks. As a first approach, the authors focus on whether an objective index derived from the ECG reflects the internal changes described in this paper. The results show that the index derived from the ECG reflects the internal changes, which demonstrates the usefulness of stress assessment by the proposed method. Although the present study deals with a limited experimental condition, this methodology can also be applied to other types of stress
Keywords :
biology computing; electrocardiography; neural nets; psychology; signal processing; ECG; chronic stress evaluation; electrocardiogram analysis; five-layer neural network; objective index; objective stress index; stress assessment; Electrocardiography; Electrodes; Gastrointestinal tract; Large Hadron Collider; Magnetic recording; Magnetosphere; Neural networks; Rats; Stress control; Stress measurement;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/51.816242
Filename :
816242
Link To Document :
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