loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Hirohito Ide ; Guillaume Lopez ; Masaki Shuzo ; Shunji Mitsuyoshi ; Jean-Jacques Delaunay and Ichiro Yamada

Affiliation: The University of Tokyo, Japan

Keyword(s): Stress monitoring, Wearable sensors, Multivariate analysis, Virtual healthcare.

Related Ontology Subjects/Areas/Topics: Affective Computing ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Devices ; Enterprise Information Systems ; Health Information Systems ; Human-Computer Interaction ; Pattern Recognition and Machine Learning ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Wearable Sensors and Systems

Abstract: In this research, we have been developing a new integrated analysis method of multiple physiological signals to estimate stress in daily life, which is important in depression screening and life-style related diseases prevention. Experiments have been carried out on 100 participants, measuring electrocardiogram, pulse wave, breath rhythm, and skin temperature in four patterns of psychological states; relax state, normal stress state, monotonous stress state, and nervous state. The newly developed stress state estimation method relies on the integrated analysis of nine physiological indices related to stress that have been extracted from the four measured physiological signals. Because variation range of each index is different between individuals and types of stress, we divided estimation process into three steps. For each step, we performed cross-validation using various classification schemes to select the most relevant set of indices that enable estimation of stress state with few influences of individual variations. Through this method we could achieve 87% accuracy for stress detection, and 63% accuracy for stress type classification. Finally a validation study was performed to confirm this method can be an effective solution to estimate various types of stress state regardless of individuals. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.93.59.171

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Ide, H.; Lopez, G.; Shuzo, M.; Mitsuyoshi, S.; Delaunay, J. and Yamada, I. (2012). WORKPLACE STRESS ESTIMATION METHOD BASED ON MULTIVARIATE ANALYSIS OF PHYSIOLOGICAL INDICES. In Proceedings of the International Conference on Health Informatics (BIOSTEC 2012) - HEALTHINF; ISBN 978-989-8425-88-1; ISSN 2184-4305, SciTePress, pages 53-60. DOI: 10.5220/0003769400530060

@conference{healthinf12,
author={Hirohito Ide. and Guillaume Lopez. and Masaki Shuzo. and Shunji Mitsuyoshi. and Jean{-}Jacques Delaunay. and Ichiro Yamada.},
title={WORKPLACE STRESS ESTIMATION METHOD BASED ON MULTIVARIATE ANALYSIS OF PHYSIOLOGICAL INDICES},
booktitle={Proceedings of the International Conference on Health Informatics (BIOSTEC 2012) - HEALTHINF},
year={2012},
pages={53-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003769400530060},
isbn={978-989-8425-88-1},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2012) - HEALTHINF
TI - WORKPLACE STRESS ESTIMATION METHOD BASED ON MULTIVARIATE ANALYSIS OF PHYSIOLOGICAL INDICES
SN - 978-989-8425-88-1
IS - 2184-4305
AU - Ide, H.
AU - Lopez, G.
AU - Shuzo, M.
AU - Mitsuyoshi, S.
AU - Delaunay, J.
AU - Yamada, I.
PY - 2012
SP - 53
EP - 60
DO - 10.5220/0003769400530060
PB - SciTePress