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Authors: Tuan D. Pham 1 ; Truong Cong Thang 1 ; Mayumi Oyama-Higa 2 ; Hoc X. Nguyen 1 ; Hameed Saji 1 and Masahide Sugiyama 1

Affiliations: 1 The University of Aizu, Japan ; 2 Chaos Technology Research Laboratory, Japan

ISBN: 978-989-8565-36-5

Keyword(s): Chaos, Lyapunov Exponents, Nonlinear Dynamical Analysis, Sample Entropy, Photoplethysmograph, Depression Detection, Biosignal Classification.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Detection and Identification ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics ; Sensor Networks ; Soft Computing

Abstract: Depressive disorders are mental illnesses that can severely affect one’s health and well-being. If depression is not early detected and left untreated, it can consequently lead to suicide. This paper presents for the first time a novel combination of chaos theory and nonlinear dynamical analysis of signal complexity of photoplethysmography waveforms for detection of depression. Experimental results obtained from the analysis of mentally disordered and control subjects suggest the potential application of the proposed approach.

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Paper citation in several formats:
D. Pham, T.; Cong Thang, T.; Oyama-Higa, M.; X. Nguyen, H.; Saji, H. and Sugiyama, M. (2013). Chaos and Nonlinear Time-series Analysis of Finger Pulse Waves for Depression Detection.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 298-301. DOI: 10.5220/0004222302980301

@conference{biosignals13,
author={Tuan D. Pham. and Truong Cong Thang. and Mayumi Oyama{-}Higa. and Hoc X. Nguyen. and Hameed Saji. and Masahide Sugiyama.},
title={Chaos and Nonlinear Time-series Analysis of Finger Pulse Waves for Depression Detection},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={298-301},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004222302980301},
isbn={978-989-8565-36-5},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - Chaos and Nonlinear Time-series Analysis of Finger Pulse Waves for Depression Detection
SN - 978-989-8565-36-5
AU - D. Pham, T.
AU - Cong Thang, T.
AU - Oyama-Higa, M.
AU - X. Nguyen, H.
AU - Saji, H.
AU - Sugiyama, M.
PY - 2013
SP - 298
EP - 301
DO - 10.5220/0004222302980301

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