Literature DB >> 19292628

Nonintrusive biological signal monitoring in a car to evaluate a driver's stress and health state.

Hyun Jae Baek1, Haet Bit Lee, Jung Soo Kim, Jong Min Choi, Ko Keun Kim, Kwang Suk Park.   

Abstract

Nonintrusive monitoring of a driver's physiological signals was introduced and evaluated in a car as a test of extending the concept of ubiquitous healthcare to vehicles. Electrocardiogram, photoplethysmogram, galvanic skin response, and respiration were measured in the ubiquitous healthcare car (U-car) using nonintrusively installed sensors on the steering wheel, driver's seat, and seat belt. Measured signals were transmitted to the embedded computer via Bluetooth(R) communication and processed. We collected and analyzed physiological signals during driving in order to estimate a driver's stress state while using this system. In order to compare the effect of stress on physical and mental conditions, two categories of stresses were defined. Experimental results show that a driver's physiological signals were measured with acceptable quality for analysis without interrupting driving, and they were changed meaningfully due to elicited stress. This nonintrusive monitoring can be used to evaluate a driver's state of health and stress.

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Mesh:

Year:  2009        PMID: 19292628     DOI: 10.1089/tmj.2008.0090

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  16 in total

1.  Effect of Missing Inter-Beat Interval Data on Heart Rate Variability Analysis Using Wrist-Worn Wearables.

Authors:  Hyun Jae Baek; JaeWook Shin
Journal:  J Med Syst       Date:  2017-08-15       Impact factor: 4.460

2.  Reliability of the Parabola Approximation Method in Heart Rate Variability Analysis Using Low-Sampling-Rate Photoplethysmography.

Authors:  Hyun Jae Baek; JaeWook Shin; Gunwoo Jin; Jaegeol Cho
Journal:  J Med Syst       Date:  2017-10-24       Impact factor: 4.460

3.  Objective measurement of sociability and activity: mobile sensing in the community.

Authors:  Ethan M Berke; Tanzeem Choudhury; Shahid Ali; Mashfiqui Rabbi
Journal:  Ann Fam Med       Date:  2011 Jul-Aug       Impact factor: 5.166

4.  Fusion of optimized indicators from Advanced Driver Assistance Systems (ADAS) for driver drowsiness detection.

Authors:  Iván García Daza; Luis Miguel Bergasa; Sebastián Bronte; Jose Javier Yebes; Javier Almazán; Roberto Arroyo
Journal:  Sensors (Basel)       Date:  2014-01-09       Impact factor: 3.576

Review 5.  Integration of Body Sensor Networks and Vehicular Ad-hoc Networks for Traffic Safety.

Authors:  Angelica Reyes-Muñoz; Mari Carmen Domingo; Marco Antonio López-Trinidad; José Luis Delgado
Journal:  Sensors (Basel)       Date:  2016-01-15       Impact factor: 3.576

6.  Graphene-Enabled Electrodes for Electrocardiogram Monitoring.

Authors:  Numan Celik; Nadarajah Manivannan; Andrew Strudwick; Wamadeva Balachandran
Journal:  Nanomaterials (Basel)       Date:  2016-08-23       Impact factor: 5.076

7.  Unobtrusive Vital Sign Monitoring in Automotive Environments-A Review.

Authors:  Steffen Leonhardt; Lennart Leicht; Daniel Teichmann
Journal:  Sensors (Basel)       Date:  2018-09-13       Impact factor: 3.576

Review 8.  Unobtrusive Health Monitoring in Private Spaces: The Smart Vehicle.

Authors:  Ju Wang; Joana M Warnecke; Mostafa Haghi; Thomas M Deserno
Journal:  Sensors (Basel)       Date:  2020-04-25       Impact factor: 3.576

Review 9.  Vital Sign Monitoring in Car Seats Based on Electrocardiography, Ballistocardiography and Seismocardiography: A Review.

Authors:  Michaela Sidikova; Radek Martinek; Aleksandra Kawala-Sterniuk; Martina Ladrova; Rene Jaros; Lukas Danys; Petr Simonik
Journal:  Sensors (Basel)       Date:  2020-10-06       Impact factor: 3.576

10.  Estimation of Driver's Danger Level when Accessing the Center Console for Safe Driving.

Authors:  Hyun-Soon Lee; Sunyoung Oh; Daeseong Jo; Bo-Yeong Kang
Journal:  Sensors (Basel)       Date:  2018-10-10       Impact factor: 3.576

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