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Authors: Mayumi Oyama-Higa 1 ; Wenbiao Wang 2 ; Shigeo Kaizu 1 ; Terufumi Futaba 3 and Taira Suzuki 4

Affiliations: 1 Chaos Technology Research Laboratory and Kwansei Gakuin University, Japan ; 2 PricewaterhouseCoopers Aarata, Japan ; 3 Ryukoku University, Japan ; 4 J. F. Oberlin University, Japan

ISBN: 978-989-758-170-0

Keyword(s): Smartphone-based Device, Largest Lyapunov Exponent, Real-Time Mental Health Check-up for Highway Drivers, Application to the Caring for Amyotrophic Lateral Sclerosis Sufferers.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Computer Vision, Visualization and Computer Graphics ; Cybernetics and User Interface Technologies ; Devices ; Human-Computer Interaction ; Information and Systems Security ; Medical Image Detection, Acquisition, Analysis and Processing ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Physiological Computing Systems ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics ; Telecommunications

Abstract: In this article, we present a smartphone-based device for checking mental status in real time, which for the first time enables real-time check-up of mental status with a smartphone. With this device, by measuring pulse waves, two important mental health indicators can be visualized at the same time: the largest Lyapunov exponent obtained from non-linear analysis of pulse waves, and the autonomic nerve balance. Before the development of this device, the measurement of these indicators had already been conducted in thousands of experiments, and their relationship with individual’s mental status had been intensively studied in recent years. This device enables users to conduct the measurement and capture the mental status dynamically, without the limitation of place and time. It has the potential application in preventing accidents due to failure of emotional management. The device is convenient to use and cost-effective.

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Paper citation in several formats:
Oyama-Higa, M.; Oyama-Higa, M.; Wang, W.; Wang, W.; Kaizu, S.; Futaba, T. and Suzuki, T. (2016). Smartphone-based Device for Checking Mental Status in Real Time.In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 137-142. DOI: 10.5220/0005655401370142

@conference{biosignals16,
author={Mayumi Oyama{-}Higa. and Mayumi Oyama{-}Higa. and Wenbiao Wang. and Wenbiao Wang. and Shigeo Kaizu. and Terufumi Futaba. and Taira Suzuki.},
title={Smartphone-based Device for Checking Mental Status in Real Time},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)},
year={2016},
pages={137-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005655401370142},
isbn={978-989-758-170-0},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)
TI - Smartphone-based Device for Checking Mental Status in Real Time
SN - 978-989-758-170-0
AU - Oyama-Higa, M.
AU - Oyama-Higa, M.
AU - Wang, W.
AU - Wang, W.
AU - Kaizu, S.
AU - Futaba, T.
AU - Suzuki, T.
PY - 2016
SP - 137
EP - 142
DO - 10.5220/0005655401370142

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