Unobtrusive Vital Sign Monitoring in Automotive Environments-A Review
Overview
Affiliations
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.
Duverger J, Bellemin V, Forcier P, Decaens J, Gagnon G, Saidi A Sensors (Basel). 2024; 24(23).
PMID: 39686021 PMC: 11644524. DOI: 10.3390/s24237483.
On-Road Evaluation of Unobtrusive In-Car Respiration Monitoring.
Radomski A, Teichmann D Sensors (Basel). 2024; 24(14).
PMID: 39065897 PMC: 11280551. DOI: 10.3390/s24144500.
In-vehicle Sensing and Data Analysis for Older Drivers with Mild Cognitive Impairment.
Moshfeghi S, Jan M, Conniff J, Ghoreishi S, Jang J, Furht B 2023 IEEE 20th Int Conf Smart Communities Improv Qual Life Using AI Robot IoT HONET (2023). 2024; 2023:140-145.
PMID: 38562260 PMC: 10982740. DOI: 10.1109/HONET59747.2023.10374639.
Robust in-vehicle heartbeat detection using multimodal signal fusion.
Warnecke J, Lasenby J, Deserno T Sci Rep. 2023; 13(1):20864.
PMID: 38012195 PMC: 10682004. DOI: 10.1038/s41598-023-47484-z.
Robust in-vehicle respiratory rate detection using multimodal signal fusion.
Warnecke J, Lasenby J, Deserno T Sci Rep. 2023; 13(1):20435.
PMID: 37993552 PMC: 10665475. DOI: 10.1038/s41598-023-47504-y.