Healthc Inform Res.  2021 Jan;27(1):11-18. 10.4258/hir.2021.27.1.11.

Measurement Device for Stress Level and Vital Sign Based on Sensor Fusion

• Basjaruddin NC
• Syahbarudin F
• Sutjiredjeki E

• KMID: 2512620
• DOI: http://doi.org/10.4258/hir.2021.27.1.11

Abstract

Objectives
Medical health monitoring generally refers to two important aspects of health, namely, physical and mental health. Physical health can be measured through the basic parameters of normal values of vital signs, while mental health can be known from the prevalence of mental and emotional disorders, such as stress. Currently, the medical devices that are generally used to measure these two aspects of health are still separate, so they are less effective than they might be otherwise. To overcome this problem, we designed and realized a device that can measure stress levels through vital signs of the body, namely, heart rate, oxygen saturation, body temperature, and galvanic skin response (GSR).
Methods
The sensor fusion method is used to process data from multiple sensors, so the output that shows the stress level and health status of vital signs can be more accurate and precise.
Results
Based on the results of testing, this device is able to show the health status of vital signs and stress levels within ±20 seconds, with the accuracies of body temperature measurements, oxygen saturation, and GSR of 97.227%, 99.4%, and 98.6%, respectively.
Conclusions
A device for the measurement of stress levels and vital signs based on sensor fusion has been successfully designed and realized in accordance with the expected functions and specifications.

Keyword

Stress, Psychological, Vital Signs, Sensor Fusion, Health Status, Internet of Things

Figure

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  Figure 1 Block diagram of the system.

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  Figure 2 Fusion sensor design. GSR: galvanic skin response.

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  Figure 3 Fuzzy logic system design. GSR: galvanic skin response, HR: heart rate, H&T: body temperature.

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  Figure 4 Membership function of (A) galvanic skin response (GSR), (B) heart rate (HR), (C) body temperature (H&T), and (D) stress level.

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  Figure 5 (A) Mobile application views and (B) intake of data from the body to the instrument.

Reference

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