Unobtrusive Vital Sign Monitoring in Automotive Environments—A Review

Author:

Leonhardt SteffenORCID,Leicht Lennart,Teichmann Daniel

Abstract

This review provides an overview of unobtrusive monitoring techniques that could be used to monitor some of the human vital signs (i.e., heart activity, breathing activity, temperature and potentially oxygen saturation) in a car seat. It will be shown that many techniques actually measure mechanical displacement, either on the body surface and/or inside the body. However, there are also techniques like capacitive electrocardiogram or bioimpedance that reflect electrical activity or passive electrical properties or thermal properties (infrared thermography). In addition, photopleythysmographic methods depend on optical properties (like scattering and absorption) of biological tissues and—mainly—blood. As all unobtrusive sensing modalities are always fragile and at risk of being contaminated by disturbances (like motion, rapidly changing environmental conditions, triboelectricity), the scope of the paper includes a survey on redundant sensor arrangements. Finally, this review also provides an overview of automotive demonstrators for vital sign monitoring.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference190 articles.

1. Vital Signs (Wikipedia Article)https://en.wikipedia.org/wiki/Vital_signs

2. Critical care: the eight vital signs of patient monitoring

3. Ambient and Unobtrusive Cardiorespiratory Monitoring Techniques

4. Contactless Patient Monitoring for General Wards: A Systematic Technology Review;Naziyok;Stud. Health Technol. Inform.,2016

5. Unobtrusive acquisition of cardiorespiratory signals

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