Young Researcher Paper Award 2021
🥇Winners

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 34, Number 8(1) (2022)
Copyright(C) MYU K.K.
pp. 2929-2954
S&M3015 Research Paper of Special Issue
https://doi.org/10.18494/SAM3972
Published: August 2, 2022

Analysis and Visualization of Relationship between Stress and Care Activities toward Reduction in Caregiver Workload [PDF]

Atsushi Miyaji, Yuta Kimata, Tomokazu Matsui, Manato Fujimoto, and Keiichi Yasumoto

(Received May 18, 2022; Accepted July 15, 2022)

Keywords: caregiver, stress level, objective stress, subjective stress

In Japan, the demand for nursing homes is increasing owing to the rapid aging of the population, and the shortage of caregivers has become a serious problem. This problem has been recognized as a social issue because it increases the workload per caregiver. In response, we have been developing a platform that can easily collect data on nursing care activities to reduce the workload on the basis of the idea that the mental state (i.e., stress) of caregivers, which changes during care activities, might markedly affect their work efficiency. The objective of this study was to obtain new knowledge for reducing the workload of caregivers by visualizing and analyzing their stress. Specifically, we asked caregivers to wear the device, from which we obtained the objective stress indicators of R-R interval (RRI) and low frequency (LF)/high frequency (HF) ratio. We also obtained subjective stress indicators from questionnaires administered before the start of the experiment, before work, during breaks, and after work. To confirm that the stress level of caregivers depends on their care activity, work shift, and workday, we conducted an empirical experiment in an actual nursing home. We distributed devices and applications to five caregivers, obtained measurement data for a total of 28 days, and analyzed and visualized the changes in psychological states related to care activities, work shift, and workdays. As a result, we were able to collect data on the psychological state for 5 to 15 days per caregiver. Furthermore, the analysis of the data showed that, even though objective stress indicators and subjective evaluations did not necessarily coincide, stress tended to increase with specific care activities, work shift, and workdays. In addition, the subjective and objective stress indicators may change depending on the personality of the caregivers themselves.

Corresponding author: Manato Fujimoto


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Atsushi Miyaji, Yuta Kimata, Tomokazu Matsui, Manato Fujimoto, and Keiichi Yasumoto, Analysis and Visualization of Relationship between Stress and Care Activities toward Reduction in Caregiver Workload, Sens. Mater., Vol. 34, No. 8, 2022, p. 2929-2954.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Biosensors and Biofuel Cells for Smart Community and Smart Life
Guest editor, Seiya Tsujimura (University of Tsukuba), Isao Shitanda (Tokyo University of Science), and Hiroaki Sakamoto (University of Fukui)


Special Issue on the International Multi-Conference on Engineering and Technology Innovation 2021 (IMETI2021)
Guest editor, Wen-Hsiang Hsieh (National Formosa University)
Conference website


Special Issue on Novel Sensors and Related Technologies on IoT Applications: Part 1-2
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on Advanced Micro/Nanomaterials for Various Sensor Applications (Selected Papers from ICASI 2021)
Guest editor, Sheng-Joue Young (National United University), Shoou-Jinn Chang (National Cheng Kung University), Liang-Wen Ji (National Formosa University), and Yu-Jen Hsiao (Southern Taiwan University of Science and Technology)
Conference website
Call for paper


Special Issue on Advanced Technologies for Remote Sensing and Geospatial Analysis: Part 3
Guest editor, Dong Ha Lee (Kangwon National University) and Myeong Hun Jeong (Chosun University)
Call for paper


Special Issue on APCOT 2022
Guest editor, Yuelin Wang, Tie Li (Shanghai Institute of Microsystem and Information Technology) and Qingan Huang (Southeast University)
Conference website
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.