Comparison of outlier heartbeat identification and spectral transformation strategies for deriving heart rate variability indices for drivers at different stages of sleepiness-Reference-Cited by-同舟云学术

Comparison of outlier heartbeat identification and spectral transformation strategies for deriving heart rate variability indices for drivers at different stages of sleepiness

Published:2018-02-28 Issue:sup1 Volume:19 Page:S112-S119
ISSN:1538-9588
Container-title:Traffic Injury Prevention
language:en
Short-container-title:Traffic Injury Prevention

Author:

Forcolin Fabio¹²,Buendia Ruben¹²³⁴,Candefjord Stefan¹²³^ORCID,Karlsson Johan⁵,Sjöqvist Bengt Arne¹²³,Anund Anna⁶^ORCID

Affiliation:

1. SAFER Vehicle and Traffic Safety Centre at Chalmers University of Technology, Gothenburg, Sweden

2. Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden

3. MedTech West, Gothenburg, Sweden

4. Department of IT, University of Borås, Borås, Sweden

5. Autoliv Research, Autoliv Development AB, Vårgårda, Sweden

6. The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research

Link

https://www.tandfonline.com/doi/pdf/10.1080/15389588.2017.1393073

Reference39 articles.

1. Short sleep duration and long spells of driving are associated with the occurrence of Japanese drivers’ rear-end collisions and single-car accidents

2. Predicting road crashes from a mathematical model of alertness regulation—The Sleep/Wake Predictor

3. Subjective and Objective Sleepiness in the Active Individual

4. Having to stop driving at night because of dangerous sleepiness - awareness, physiology and behaviour

5. Reaction of sleepiness indicators to partial sleep deprivation, time of day and time on task in a driving simulator - the DROWSI project

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