Measurements of Electrodermal Activity, Tissue Oxygen Saturation, and Visual Analog Scale for Different Cuff Pressures

Author:

Kim Youngho1ORCID,Han Incheol1ORCID,Jung Jeyong1ORCID,Yang Sumin1,Lee Seunghee1,Koo Bummo1ORCID,Ahn Soonjae2ORCID,Nam Yejin3ORCID,Song Sung-Hyuk4ORCID

Affiliation:

1. Department of Biomedical Engineering, Yonsei University, Wonju 26493, Republic of Korea

2. Institute of Smart Rehabilitation Engineering and Assistive Technology, Dong-Eui University, Busan 47340, Republic of Korea

3. Department of Clinical Development, Angel Robotics, Seoul 04798, Republic of Korea

4. Department of Robotics & Mechatronics, Korea Institute of Machinery & Materials, Daejeon 34103, Republic of Korea

Abstract

The quantification of comfort in binding parts, essential human–machine interfaces (HMI) for the functioning of rehabilitation robots, is necessary to reduce physical strain on the user despite great achievements in their structure and control. This study aims to investigate the physiological impacts of binding parts by measuring electrodermal activity (EDA) and tissue oxygen saturation (StO2). In Experiment 1, EDA was measured from 13 healthy subjects under three different pressure conditions (10, 20, and 30 kPa) for 1 min using a pneumatic cuff on the right thigh. In Experiment 2, EDA and StO2 were measured from 10 healthy subjects for 5 min. To analyze the correlation between EDA parameters and the decrease in StO2, a survey using the visual analog scale (VAS) was conducted to assess the level of discomfort at each pressure. The EDA signal was decomposed into phasic and tonic components, and the EDA parameters were extracted from these two components. RM ANOVA and a post hoc paired t-test were used to determine significant differences in parameters as the pressure increased. The results showed that EDA parameters and the decrease in StO2 significantly increased with the pressure increase. Among the extracted parameters, the decrease in StO2 and the mean SCL proved to be effective indicators. Such analysis outcomes would be highly beneficial for studies focusing on the comfort assessment of the binding parts of rehabilitation robots.

Funder

Korea Institute of Machinery and Materials

Publisher

MDPI AG

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