Identifying Characteristic Physiological Patterns of Mentally Ill Patients using Nonlinear Analysis of Plethysmograms

Mayumi Oyama-Higa, Takashi Suzuki, Wenbiao Wang, Yuyu Hu

2012

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 contributed 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.

References

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Paper Citation


in Harvard Style

Wang W., Suzuki T., Oyama-Higa M. and Hu Y. (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 - Volume 1: EHST, ISBN 978-989-8565-27-3, pages 69-73. DOI: 10.5220/0004474300690073


in Bibtex Style

@conference{ehst12,
author={Wenbiao Wang and Takashi Suzuki and Mayumi Oyama-Higa and Yuyu Hu},
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 - Volume 1: EHST,},
year={2012},
pages={69-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004474300690073},
isbn={978-989-8565-27-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Symposium on e-Health Services and Technologies and the Third International Conference on Green IT Solutions - Volume 1: EHST,
TI - Identifying Characteristic Physiological Patterns of Mentally Ill Patients using Nonlinear Analysis of Plethysmograms
SN - 978-989-8565-27-3
AU - Wang W.
AU - Suzuki T.
AU - Oyama-Higa M.
AU - Hu Y.
PY - 2012
SP - 69
EP - 73
DO - 10.5220/0004474300690073