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Authors: Yuyu Hu ; Takashi Suzuki ; Mayumi Oyama-Higa and Wenbiao Wang

Affiliation: Osaka University, Japan

Keyword(s): Plethysmogram, Mental Illness, Largest Lyapunov Exponent, Autonomic Nerve Balance.

Abstract: We measured the pulse waves of 195 mentally ill patients and 113 healthy students. Using heartbeat changes, we calculated the values which represent the intensity of their sympathetic and parasympathetic activities, and the values of their autonomic nerve balance (ANB). In addition, we obtained the largest Lyapunov exponents (LLE) by non-linear analysis of plethysmograms. Values were analyzed by group. The results revealed a significant relationship between LLE and ANB. The sympathetic nerve values in the patient group were significantly higher than those in the student group, whereas the LLE values were significantly lower. Furthermore, we illustrated the dynamic change in the results for single participants over several testing times. The measurement of pulse waves is easy and economical and does not put a strain on the subject. Additionally, these values are likely to provide information that is more accurate than medical examination obtained from an interview. Our study contribut ed to the existing methodology in this field, and future data collection and measurement will be carried out. We hope that our study will be useful for neurologists and psychotherapists in their detection and treatment of mental illnesses. (More)

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Paper citation in several formats:
Hu, Y.; Suzuki, T.; Oyama-Higa, M. and Wang, W. (2012). Identifying Characteristic Physiological Patterns of Mentally Ill Patients using Nonlinear Analysis of Plethysmograms. In Proceedings of the Sixth International Symposium on e-Health Services and Technologies and the Third International Conference on Green IT Solutions - EHST; ISBN 978-989-8565-27-3, SciTePress, pages 69-73. DOI: 10.5220/0004474300690073

@conference{ehst12,
author={Yuyu Hu. and Takashi Suzuki. and Mayumi Oyama{-}Higa. and Wenbiao Wang.},
title={Identifying Characteristic Physiological Patterns of Mentally Ill Patients using Nonlinear Analysis of Plethysmograms},
booktitle={Proceedings of the Sixth International Symposium on e-Health Services and Technologies and the Third International Conference on Green IT Solutions - EHST},
year={2012},
pages={69-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004474300690073},
isbn={978-989-8565-27-3},
}

TY - CONF

JO - Proceedings of the Sixth International Symposium on e-Health Services and Technologies and the Third International Conference on Green IT Solutions - EHST
TI - Identifying Characteristic Physiological Patterns of Mentally Ill Patients using Nonlinear Analysis of Plethysmograms
SN - 978-989-8565-27-3
AU - Hu, Y.
AU - Suzuki, T.
AU - Oyama-Higa, M.
AU - Wang, W.
PY - 2012
SP - 69
EP - 73
DO - 10.5220/0004474300690073
PB - SciTePress