Authors:
Wenxi Chen
1
;
Hiroo Watanabe
1
;
Xin Zhu
1
;
Kei-ichiro Kitamura
2
and
Tetsu Nemoto
2
Affiliations:
1
the University of Aizu, Japan
;
2
Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences and Kanazawa University, Japan
Keyword(s):
Daily lifestyle, Pulse rate, Sleep, Dynamic time warping (DTW).
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Design and Development Methodologies for Healthcare IT
;
Devices
;
Health Information Systems
;
Healthcare Management Systems
;
Human-Computer Interaction
;
Pervasive Health Systems and Services
;
Physiological Computing Systems
;
Practice-based Research Methods for Healthcare IT
;
Wearable Sensors and Systems
Abstract:
This study aims at detecting changes in daily lifestyle by using pulse rate measured during sleep. A convenient system for pulse rate measurement during sleep and an algorithm for detection of lifestyle changes were developed in this study. The data collection system consists of a home unit and a database server. The home unit includes a Bluetooth-enabled SpO2 sensor and a relay station. The sensor measures pulse rate (PR) and SpO2 beat-by-beat. The relay station receives the measured PR and SpO2 data via Bluetooth connection with the sensor, and then transmits these data to the database server through Internet automatically. The database server manages the data and performs data analysis. Daily PR data were preprocessed to suppress spike-like noise and movement artefact. Changes in daily lifestyle were detected by a dynamic time warping (DTW) algorithm. Vital data were collected from a healthy college student during daily sleep time over one year, and were used to examine the protot
ype system. The results showed that unusual or irregular events, such as too much alcohol drink, physical illness and mental stress, could be identified successfully. The system seems promising in application of health care and management under daily life environment.
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