498
Views
10
CrossRef citations to date
0
Altmetric
Original Articles

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

, , ORCID Icon, , & ORCID Icon
Pages S112-S119 | Received 01 Apr 2017, Accepted 12 Oct 2017, Published online: 27 Mar 2018

References

  • Abe T, Komada Y, Nishida Y, Hayashida K, Inoue Y. Short sleep duration and long spells of driving are associated with the occurrence of Japanese drivers' rear-end collisions and single-car accidents. J Sleep Res. 2010;19:310–316.
  • Åkerstedt T, Connor J, Gray A, Kecklund G. Predicting road crashes from a mathematical model of alertness regulation—the sleep/wake predictor. Accid Anal Prev. 2008;40:1480–1485.
  • Åkerstedt T, Gillberg M. Subjective and objective sleepiness in the active individual. Int J Neurosci. 1990;52(1–2):29–37.
  • Åkerstedt T, Hallvig D, Anund A, Fors C, Schwarz J, Kecklund G. Having to stop driving at night because of dangerous sleepiness—awareness, physiology and behaviour. J Sleep Res. 2013;22:380–388.
  • Åkerstedt T, Ingre M, Kecklund G, et al. Reaction of sleepiness indicators to partial sleep deprivation, time of day and time on task in a driving simulator—the DROWSI project. J Sleep Res. 2010;19:298–309.
  • Åkerstedt T, Peters B, Anund A, Kecklund G. Impaired alertness and performance driving home from the night shift: a driving simulator study. J Sleep Res. 2005;14:17–20.
  • Anund A, Kecklund G, Peters B, Forsman Å, Åkerstedt T. Driver impairment during night and the relation with physiological sleepiness. Scand J Work Environ Health. 2008;34(2):142–150.
  • Barr L, Popkin S, Howarth H. An Evaluation of Emerging Driver Fatigue Detection Measures and Technologies. US Department of Transportation, Federal Motor Carrier Safety Administration; 2009. Report FMCSA-RRR-09-005.
  • Bjerregaard P. Premature beats in healthy subjects 40–79 years of age. Eur Heart J. 1982;3:493–503.
  • Boardman A, Soares Shlindwein F, Rocha AP, Leite A. A study on the optimum order of autoregressive models for heart rate variability. Physiol Meas. 2002;23:325–336.
  • Clifford GD, Tarassenko L. Quantifying errors in spectral estimates of HRV due to beat replacement and resampling. IEEE Trans Biomed Eng. 2005;52:630–638.
  • Connor J, Norton R, Ameratunga S, et al. Driver sleepiness and risk of serious injury to car occupants: population based case control study. BMJ. 2002;324:1125.
  • Evans L. Traffic Safety and the Driver. New York, NY: Science Serving Society; 1991.
  • Filtness AJ, Reyner AL, Horne J. Driver sleepiness—comparisons between young and older men during a monotonous afternoon simulated drive. Biol Psychol. 2012;89:580–583.
  • Griffin MP, Moorman JR. Toward the early diagnosis of neonatal sepsis and sepsis-like illness using novel heart rate analysis. Pediatrics. 2001;107:97–104.
  • Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996;93:1043–1065.
  • Horne J, Reyner L. Sleep related vehicle accidents. BMJ. 1995;310:565–567.
  • Kemper KJ, Hamilton C, Atkinson M. Heart rate variability: impact of differences in outlier identification and management strategies on common measures in three clinical populations. Pediatr Res. 2007;62:337–342.
  • Kemper KJ, Woods CR, Yard B, Cohen DG, McLean T, Atkinson M. Heart rate variability in pediatric patients with leukemia: a brief report. J Cancer Int Med. 2004;2:137–143.
  • Ketchum JA, Best AM, Ramakrishnan V. A within-subject normal-mixture model with mixed-effects for analyzing heart rate variability. J Biom Biostat. 2012;3(S2):S7–013. Available at: https://www.omicsonline.org/special-issues/medicalstatistics-clinical-and-experimental-research-volume-2.html.
  • Klauer S, Dingus T, Neale V, Sudweeks J, Ramsey D. The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data. Washington, DC: NHTSA; 2006. Technical Report DOT HS 810 594.
  • Laguna P, Moody GB, Mark RG. Power spectral density of unevenly sampled data by least-square analysis: performance and application to heart rate signals. IEEE Trans Biomed Eng. 1998;45:698–715.
  • Lal SKL, Craig A. A critical review of the psychophysiology of driver fatigue. Biol Psychol. 2001;55(3):173–194.
  • Lippman N, Stein KM, Lerman BB. Comparison of methods for removal of ectopy in measurement of heart rate variability. Am J Physiol. 1994;267(Pt 2):H411–H418.
  • Lomb NR. Least-squares frequency analysis of unequally spaced data. Astrophysical and Space Science. 1976;39:447–462.
  • Macías R, García MA, Ramos J, Bragos R, Fernández M. Ventilation and heart rate monitoring in drivers using a contactless electrical bioimpedance system. J Phys Conf Ser. 2013;434:012047.
  • Mahachandra M, Yassierli, Sutalaksana IZ, Ridwan AS. Changes in drowsiness level while driving on highway: results of a naturalistic study in Indonesia. Paper presented at: 10th Asia Pacific Industrial Engineering & Management Systems Conference; December 2009; Kitakyushu, Fukuoka, Japan.
  • Malik M. Sympathovagal balance: a critical appraisal. Circulation. 1998;98:2643–2644.
  • Malik M, Farrell T, Cripps T, Camm AJ. Heart rate variability in relation to prognosis after myocardial infarction: selection of optimal processing techniques. Eur Heart J. 1989;10:1060–1074.
  • NHTSA. Research on Drowsy Driving. 2015. Available at: https://www.nhtsa.gov. Accessed December 19, 2015.
  • Pan J, Tompkins WJ. A real-time QRS detection algorithm. IEEE Trans Biomed Eng. 1985;32(3):230–236.
  • Patel M, Lal SKL, Kavanagh D, Rossiter P. Applying neural network analysis on heart rate variability data to assess driver fatigue. Expert Syst Appl. 2011;38:7235–7242.
  • Persson H, Kumlien E, Ericson M, Tomson T. Preoperative heart rate variability in relation to surgery outcome in refractory epilepsy. Neurology. 2005;65:1021–1025.
  • Pradhan L, Islam M. Replacing outliers with existing data in inter beat interval signal for heart rate variability analysis. 2010. IBIS1:10. Available at: http://www.idt.mdh.se/kurser/ct3340/ht10/FinalPapers/7-Pradhan_Islam.pdf.
  • Sahayadhas A, Sundaraj K, Murugappan M. Detecting driver drowsiness based on sensors: a review. Sensors (Basel). 2012;12:16937–16953.
  • Sandberg D, Anund A, Fors C, et al. The characteristics of sleepiness during real drive at night—a study of driving performance, phisiology and subjective experience. Sleep. 2011;34:1317–1325.
  • Sato S, Taoda K, Kawamura M, Wakara K, Fukuchi Y, Nishiyama K. Heart rate variability during long truck driving work. J Hum Ergol (Tokyo). 2001;30(1–2):235–240.
  • Wartzek T, Eilebrecht B, Lem J, Lindner HJ, Leonhardt S, Walter M. ECG on the road: robust and unobtrusive estimation of heart rate. IEEE Trans Biomed Eng. 2011;58:3112–3120.
  • Williamson A, Lombardi D, Folkard S, Stutts J, Courtney T, Connor J. The link between fatigue and safety. Accid Anal Prev. 2011;43:498–515.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.