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2015 | Vol. 35, no. 4 | 284--295
Tytuł artykułu

Pupillometric sleepiness measurements PST with concurrent video optic sensor of pupillary size

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article describes the design solutions of a mobile headset device used for the assessment of involuntary and oscillatory movements of the pupils. The pupillographic sleepiness test (PST) is used to assess the human psychophysiological state influenced by the level of drowsiness or alertness by observing the so-called fatigue wave. Since the overall size of the pupil is controlled predominantly by sympathetic inhibition of the parasympathetic Edinger–Westphal nuclei, spontaneous changes in its size are considered to be the result of decreasing central sympathetic activity. In the state of reduced alertness, changes in pupil size recorded in the dark show slow rhythmic oscillations, called fatigue waves. PST must be carried out in complete darkness (infrared goggles) and silence for a duration of 11 min. Authors used the results of studies conducted before the development of the device. Those results played a significant role in shaping the structural assumptions on the sensor in its function as an indicator of the level of human fatigue. The article includes the results of the experimental research on the sensor's testing process involving variable frequency parameters of light, luminance and chrominance excitations. The obtained results revealed that the type of light stimulating the retina has significant impact on the oscillation parameters of pupils.
Wydawca

Rocznik
Strony
284--295
Opis fizyczny
Bibliogr. 24 poz., rys., tab., wykr.
Twórcy
  • Military Institute of Aviation Medicine, Aviation Bioengineering Department, Warsaw, Poland
autor
  • Military University of Technology, Electronic Department, S. Kaliskiego 2, Warsaw 00-908, Poland, tsondej@wat.edu.pl
  • Military Institute of Aviation Medicine, Aviation Bioengineering Department, Warsaw, Poland
Bibliografia
  • [1] Czarkowski M, Różanowski K. Polish Research Ethics Committees in the European Union System of assessing medical experiments. Sci Eng Ethics 2009;15:201–12.
  • [2] Czarkowski M, Mikulska M, Zebrowski M, Baran A, Rozanowski K. Tilt test alters accuracy of the oscillometric device Omron HEM-705CP. J Hum Hypertens 2004;18:293–4.
  • [3] Ferrari GL, Marques JLB, Gandhi R, Heller SR, Schneider FK, Tesfaye S, et al. Using dynamic pupillometry as a simple screening tool to detect autonomic aeuropathy in patients with diabetes: a pilot study. BioMed Eng Online 2010;9–26.
  • [4] Fotiou DF, Stergioua V, Tsiptsiosa D, Litharib C, Nakouc M, Karlovasitoua A. Cholinergic deficiency in Alzheimer's and Parkinson's disease: evaluation with pupillometry. Int J Psychophysiol 2009;73(2):143–9.
  • [5] Höfle M, Kenntner-Mabiala R, Pauli P, Alpers GW. You can see pain in the eye: pupillometry as an index of pain intensity under different luminance conditions. Original research article. Int J Psychophysiol 2008;70(3):171–5.
  • [6] Kaltsatou A, Kouidi E, Lithari C, Koutlianos N, Fotiou F, Deligiannis A. Assessment of cardiac autonomic function in dynamic athletes by pupillometry. Int J Psychophysiol 2010;77(3):283–4.
  • [7] Kawasaki A, Kardon RH. Disorders of the pupil. Ophthalmol Clin N Am 2001;14(1):149–68.
  • [8] Lobato-Rincón LL, Cabanillas Campos MC, Navarro-Vallas JJ, Bonnin-Arias C, Chamorro E, Sanchez-Ramos RC. Utility of dynamic pupillometry in alcohol testing on drivers. Adicciones 2013;25(2):137–45.
  • [9] Lowenstein O, Feinberg R, Loewenfeld IE. Pupillary movements during acute and chronic fatigue. Investig Ophthalmol 1963;2(2):138–57.
  • [10] McLaren JW, Hauri PJ, Lin S-C, Cameron HD. Pupillometry in clinically sleepy patients. Original research article. Sleep Med 2002;3(4):347–52.
  • [11] Murawski K, Różanowski K. Pattern recognition algorithm for eye tracker sensor video data analysis. Acta Phys Pol A 2013;124(3):509–12.
  • [12] Murawski K, Różanowski K, Krej M. Research and parameter optimization of the pattern recognition algorithm for the eye tracking infrared sensor. Acta Phys Pol A 2013;124(3):513–6.
  • [13] Nakayama M, Yamamoto K, Kobayashi F. Estimation of sleepiness using pupillary response and its frequency components. Int J Bioinform Res Appl 2012;8(5–6):342–65.
  • [14] Payen JF, Isnardon S, Lavolaine J, Bouzat P, Vinclair M, Francony G. Pupillometry in anesthesia and critical care. Ann Fr Anesth Reanim 2012;31(6):e155–9.
  • [15] Peters T, Gruner C, Durst W, Hutter C, Wilhelm B. Sleepiness in professional truck drivers measured with an objective alertness test during routine traffic controls. Int Arch Occup Environ Health 2014;87(8):881–8.
  • [16] Piotrowski Z, Różanowski K. Robust algorithm for heart rate (HR) detection and heart rate variability (HRV) estimation. Acta Phys Pol A 2010;118(1):131–5.
  • [17] Różanowski K, Murawski K. An infrared sensor for eye tracking in a harsh car environment. Acta Phys Pol A 2012;122(5):874–9.
  • [18] Różanowski K, Murawski K. Optical sensor to monitor pupillary light reflex. Acta Phys Pol A 2013;124(3):558–62.
  • [19] Tilmant C, Charavel M, Ponrouch M, Gindre G, Sarry L, Boire JY. Monitoring and modeling of pupillary dynamics: study of the autonomous nervous system. France: Blaise Pascal University, OICMS; 2005. p. 441–9.
  • [20] Urschitz MS, Heine K, Mendler L, Peters T, Wilhelm B, Poets CF. Pilot study on the validity of the pupillographic sleepiness test in children and adolescents. Sleep Med 2014;15(6):720–3.
  • [21] Usui S, Hirata Y. Estimation of autonomic nervous activity using the inverse dynamic model of the pupil muscle plant. Ann Biomed Eng 1995;23:375–87.
  • [22] Warga M, Lüdtke H, Wilhelm H, Wilhelm B. How do spontaneous pupillary oscillations in light relate to light intensity? Original research article. Vision Res 2009;49 (3):295–300.
  • [23] Wilhelm BJ, Widmann A, Durst W, Heine C, Otto G. Objective and quantitative analysis of daytime sleepiness in physicians after night duties. Int J Psychophysiol 2009;72 (3):307–13.
  • [24] Yamamoto K, Kobayashi F, Hori R, Arita A, Sasanabe R, Shiomi T. Association between pupillometric sleepiness measures and sleep latency derived by MSLT in clinically sleepy patients. Environ Health Prev Med 2013;18(5):361–7.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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