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Authors: Wenxi Chen 1 and Toshiyo Tamura 2

Affiliations: 1 The University of Aizu, Japan ; 2 Osaka Electro-Communication University, Japan

ISBN: 978-989-758-068-0

Keyword(s): Health Condition, Biorhythm, Long-term Monitoring, Monthly Change, Daily Measurement, Systolic Blood Pressure, Healthcare, Dynamic Time Warping.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Management and Quality ; Data Manipulation ; Data Mining ; Data Visualization ; Databases and Information Systems Integration ; Datamining ; Design and Development Methodologies for Healthcare IT ; Enterprise Information Systems ; Evaluation and Use of Healthcare IT ; Health Information Systems ; Pervasive Health Systems and Services ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: This paper presents an approach to detect monthly biorhythmic change using daily measurement of systolic blood pressure (SBP) at home. As a part of health promotion campaign initiated in 1994, more than 600 households in West Aizu village of northern Japan were provided devices for daily measurement of blood pressure, electrocardiogram, body temperature and body weight. This paper demonstrates an outcome of data analysis of daily SBP collected in two years from an elder couple at age of seventies. The personal reference profile is gained by averaging individual monthly profiles over 24 months. Dynamic time warping algorithm estimates the similarity between personal reference profile and monthly SBP profile. The results show that an extraordinary deviation from usual biorhythmicity can be found in both the wife and the husband happened in July and February which respectively indicates individual health condition change confirmed by personal medical record. The results suggest that even it is difficult to identify any significant variation from the daily SBP directly, proper analysis of the raw SBP measured over a long-term period helps tracking functional information of health condition change and serving as an effective evidence for health management. (More)

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Paper citation in several formats:
Chen, W. and Tamura, T. (2015). Tracking of Monthly Health Condition Change from Daily Measurement of Systolic Blood Pressure.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 69-74. DOI: 10.5220/0005203400690074

@conference{healthinf15,
author={Wenxi Chen. and Toshiyo Tamura.},
title={Tracking of Monthly Health Condition Change from Daily Measurement of Systolic Blood Pressure},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={69-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005203400690074},
isbn={978-989-758-068-0},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - Tracking of Monthly Health Condition Change from Daily Measurement of Systolic Blood Pressure
SN - 978-989-758-068-0
AU - Chen, W.
AU - Tamura, T.
PY - 2015
SP - 69
EP - 74
DO - 10.5220/0005203400690074

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