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Analysis of Human Body Suitability for Mattresses by Using the Level of PsychoPhysiological Relaxation and Development of Regression Model

Authors
김정룡민승남김동준박용덕김성은이호상
Issue Date
Jun-2015
Publisher
대한인간공학회
Keywords
Mattress selection; Physical relaxation; Psychophysiological variables; Peak body pressure
Citation
대한인간공학회지, v.34, no.3, pp.199 - 215
Indexed
KCI
Journal Title
대한인간공학회지
Volume
34
Number
3
Start Page
199
End Page
215
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/20103
DOI
10.5143/JESK.2015.34.3.199
ISSN
1229-1684
Abstract
Objective: The purpose of this study is to find the level of physical relaxation of individual subject by monitoring psychophysiological biofeedback to different types of mattresses. And, the study also aims to find a protocol to make a selection of the best mattress based on the measured information. Background: In Korea, there are an increasing number of people using western style bed. However, they are often fastidious in choosing the right mattress for them. In fact, people use their past experience with their old mattress as well as the spontaneous experience they encounter in a show room to finally decide to buy a bed. Method: Total five mattresses were tested in this study. After measuring the elasticity of the mattresses, they were sorted into five different classes. Physiological and psychological variables including Electromyography (EMG), heart rates (HR), oxygen saturations (SaO2) were used. In addition, the peak body pressure concentration rate was used to find uncomfortably pressured body part. Finally, the personal factors and subjective satisfaction were also examined. A protocol was made to select the best mattress for individual subject. The selection rule for the protocol considered all the variables tested in this study. Results: The result revealing psychological comfort range of 0.68 to 0.95, dermal comfort range of 3.15 to 6.07, back muscle relaxation range of 0.25 to 1.64 and personal habit range of 2.0 to 3.4 was drawn in this study. Also a regression model was developed to predict biofeedback with the minimal use of biofeedback devices. Moreover results from the proposed protocol with the regression equation and subjective satisfaction were compared with each other for validation. Ten out of twenty subjects recorded the same level of relaxation, and eight subjects showed one-level difference while two subjects showed two-levels difference. Conclusion: The psychophysiological variables and suitability selection process used in this study seem to be used for selecting and assessing ergonomic products mechanically or emotionally. Application: This regression model can be applied to the mattress industry to estimate back muscle relaxation using dermal, psychophysiology and personal habit values
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COLLEGE OF COMPUTING (SCHOOL OF MEDIA, CULTURE, AND DESIGN TECHNOLOGY)
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