Development of an IoT-Based Monitoring System for Healthcare: A Preliminary Study

We present an IoT-based monitoring system for healthcare that allows for long-term measurements of blood pressure (BP), heart rate (HR), and body weight (BW), as well as near-infrared spectroscopy (NIRS) for measurement of prefrontal cortex (PFC) activity. To verify the applicability of the system,...

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Bibliographic Details
Published inAdvances in experimental medicine and biology Vol. 1232; pp. 291 - 297
Main Authors Ishida, M., Ushioda, S., Nagasawa, Y., Komuroa, Y., Tang, Z., Hu, L., Tamura, T., Sakatani, K.
Format Book Chapter Journal Article
LanguageEnglish
Japanese
Published Cham Springer International Publishing 2020
SeriesAdvances in Experimental Medicine and Biology
Subjects
Aged
Big data
Female
Functional Laterality
Health care
Heart Rate
Humans
IoT
Male
Middle Aged
Monitoring, Physiologic - instrumentation
Monitoring, Physiologic - methods
Monitoring, Physiologic - standards
Near infrared spectroscopy
Prefrontal Cortex
Prevention medicine
Self-Examination - standards
Spectroscopy, Near-Infrared
Stress, Psychological
Health care
Near infrared spectroscopy
Big data
IoT
Prevention medicine
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Summary:We present an IoT-based monitoring system for healthcare that allows for long-term measurements of blood pressure (BP), heart rate (HR), and body weight (BW), as well as near-infrared spectroscopy (NIRS) for measurement of prefrontal cortex (PFC) activity. To verify the applicability of the system, it was set up in a local fitness gym for a preliminary study. A total of 39 subjects, selected from members of the gym, participated in the study. We analyzed the BP, HR, and BW data, collected from the subjects over one half-year. In addition, to assess the degree of mental stress of the subjects, we analysed left-right asymmetry of the PFC activity using the laterality index at rest (LIR) of the NIRS parameter. Results show that the subjects were able to measure their physiological data by themselves when they visited the gym, after being instructed how to perform the measurements. Furthermore, the results also indicate that ordinary people can continuously monitor physiological functions such as brain function in a non-medical facility, such as a fitness gym.
ISBN:3030344592
9783030344597
ISSN:0065-2598
2214-8019
DOI:10.1007/978-3-030-34461-0_37