• 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