Skip to main content
SpringerLink
Log in

Messverfahren zur Erfassung vigilanzassoziierter Prozesse

  • Chapter
  • First Online:
Ermüdung und Arbeitsfähigkeit

  • 3214 Accesses

Zusammenfassung

Es existieren eine Vielzahl von Messmethoden zur Erfassung vigilanzabhängiger Prozesse. Um hier den Überblick zu erleichtern, werden mithilfe eines Eisberg-Modells drei Ebenen der Erfassung vigilanzassoziierter Prozesse unterschieden.

Die Spitze des Eisberg-Modells (1. Ebene) bilden Verfahren, die sich hauptsächlich auf die Beschreibung und Quantifizierung von beobachtbaren Verhaltensweisen konzentrieren. Der 2. Ebene sind alle Verfahren zur Erfassung der subjektiven Einschätzungen von Wachheit, Müdigkeit und Schläfrigkeit zugeordnet und der 3. Ebene alle Messverfahren zur Erfassung physiologischer Prozesse. Diese Verfahren gelten gemeinhin als „objektiv“ und vertrauenswürdiger als die Verfahren der 1. und 2. Ebene.

Neben diesen „klassischen“ Messmethoden werden zukünftig vermehrt Smartphones und andere digitale Endgeräte zum Einsatz kommen, um vigilanzassoziierte Prozesse zu erheben, mit neuen Möglichkeiten zur Optimierung der individuellen Erholungs- und Leistungsfähigkeit.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 34.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 44.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Literatur

  • Abe, T., Mollicone, D., Basner, M., & Dinges, D. F. (2014). Sleepiness and safety: Where biology needs technology. Sleep and Biological Rhythms, 12(2), 74–84.

    Article  PubMed  PubMed Central  Google Scholar 

  • Åkerstedt, T., Anund, A., Axelsson, J., & Kecklund, G. (2014). Subjective sleepiness is a sensitive indicator of insufficient sleep and impaired waking function. Journal of Sleep Research, 23, 242–254. https://doi.org/10.1111/jsr.12158.

    Article  Google Scholar 

  • Åkerstedt, T., & Gillberg, M. (1990). Subjective and objective sleepiness in the active individual. International Journal of Neuroscience, 52, 29–37.

    Article  PubMed  Google Scholar 

  • Akram, U. (2017). Sleep-related monitoring on awakening mediates the relationship between cutaneous body image and insomnia symptoms. Sleep Science, 10, 92–95.

    Article  PubMed  PubMed Central  Google Scholar 

  • Akram, U., Ellis, J., Myachykov, A., & Barclay, N. (2016). Misperception of tiredness in young adults with insomnia. Journal of Sleep Research, 25, 466–474. https://doi.org/10.1111/jsr.12395.

  • Anderer, P., Saletu, B., Kinsperger, K., & Semlitsch, H. (1987). Topographic brain mapping of EEG in neuropsychopharmacology – Part I. Methodological aspects. Methods and Findings in Experimental and Clinical Pharmacology, 9(6), 371–384.

    CAS  PubMed  Google Scholar 

  • Anderer, P., Saletu, B., Semlitsch, H. V., & Pascual-Marqui, R. D. (2003). Non-invasive localisation of P300 sources in normal aging and age-associated memory impairment. Neurobiology of Aging, 24(3), 463–479.

    Article  CAS  PubMed  Google Scholar 

  • Avni, N., Avni, I., Barenboim, E., Azaria, B., Zadok, D., Kohen-Raz, R., & Morad, Y. (2006). Brief posturographic test as an indicator of fatigue. Psychiatry and Clinical Neurosciences, 60, 340–346. https://doi.org/10.1111/j.1440-1819.2006.01511.x.

    Article  PubMed  Google Scholar 

  • Axelsson, J., Sundelin, T., Ingre, M., Van Someren, E. J. W., Olssen, A., & Lekander, M. (2010). Beauty sleep: Experimental study on the perceived health and attractiveness of sleep deprived people. British Medical Journal, 341, c6614. https://doi.org/10.1136/bmj.c6614.

    Article  PubMed  PubMed Central  Google Scholar 

  • Baehr, E. K., Revelle, W., & Eastman, C. (2000). Individual differences in the phase and amplitude of the human circadian temperature rhythm: With an emphasis on morningness-eveningness. Journal of Sleep Research, 9, 117–127.

    Article  CAS  PubMed  Google Scholar 

  • Barker, A., Jalinous, R., & Freeston, I. L. (1985). Non-invasive magnetic stimulation of human motor cortex. Lancet, 1(8437), 1106–1107.

    Article  CAS  PubMed  Google Scholar 

  • Basner, M., & Dinges, D. (2012). An adaptive-duration version of the PVT accurately tracks changes in psychomotor Vigilance induced by sleep restriction. Sleep, 35(2), 193–202.

    Article  PubMed  PubMed Central  Google Scholar 

  • Basner, M., Mollicone, D., & Dinges, D. F. (2012). Validity and sensitivity of a brief psychomotor vigilance test (PVT-B) to total and partial sleep deprivation. Acta Astronautica, 69(11–12), 949–959.

    Google Scholar 

  • Bente, D. (1977). Vigilanz. Psychophysiologische Aspekte. Verhandlungen der Deutschen Gesellschaft fur Innere Medizin, 83, 945–952.

    Article  CAS  PubMed  Google Scholar 

  • Bente, D. (1984). Elektroenzephalografisch Vigilanzbestimmungen: Methoden und Beispiele. Zeitschrift für Elektroenzephalographie, Elektromyographie und verwandte Gebiete, 4, 173–179.

    Google Scholar 

  • Bennett, L. S., Stradling, J. R., & Davies, R. J. (1997). A behavioral test to assess daytime sleepiness in obstructive sleep apnoea. Journal of Sleep Research, 6, 142–145.

    Article  CAS  PubMed  Google Scholar 

  • Bitsch, J. A., Ramos, R., Severijns, C., & Wehrle, K. (2015). Towards bringing EEG research and diagnostics out of lab. Studies in Health Technology and Informatics, 211, 185–190.

    PubMed  Google Scholar 

  • Blum, S., Debener, S., Emkes, R., Volkening, N., Fudickar, S., & Bleichner, M. G. (2017). EEG recordings and online signal processing on Android: A multiapp framework for brain computer interfaces on smartphones. BioMed research international, 2017, 3072870. https://doi.org/10.1155/2017/3072870.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bodala, I. P., Li, J., Thakor, N. V., & Al-Nashash, H. (2016). EEG and eye tracking demonstrate vigilance enhancement with challenge integration. Frontiers in Human Neuroscience, 10, 273. https://doi.org/10.3389/fnhum.2016.00273.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bonnefond, A., Rogé, J., & Muzet, A. (2006). Behavioural reactivation and subjective assessment of the state of vigilance – Application to simulated car driving. International Journal of Occupational Safety and Ergonomics (JOSE), 12(3), 221–229.

    Article  Google Scholar 

  • Boudreau, P., Dumont, G. A., & Boivin, D. B. (2013). Circadian adaptation to night shift work influences sleep, performance, mood and the autonomic modulation of the heart. PLoS ONE, 8(7), e70813. https://doi.org/10.1371/journal.pone.0070813.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Boverie, S. (2002). A new class of intelligent sensors for the inner space monitoring of the vehicle of the future. Control Engineering Practice, 10(11), 1169–1178.

    Article  Google Scholar 

  • Brannigan, C. R., & Humphries, D. (1972). Human non verbal behaviour, a means of communication. In N. Blurton-Jones (Hrsg.), Ethological studies of child behavior (S. 37–64). London: Cambridge University Press.

    Google Scholar 

  • Buysse, D. J., Reynolds, C. F., Monk, T., Berman, S. R., & Kupfer, D. J. (1987). The Pittsburgh Seep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Research, 28(2), 193–213.

    Article  Google Scholar 

  • Carskadon, M. A., & Dement, W. C. (1982). The multiple sleep latency test: What does it measure? Sleep, 5, 67–72.

    Article  Google Scholar 

  • Chua, E. C. P., Tan, W. Q., Yeo, S. C., Lau, P., Lee, I., Mien, I. H., Puvanendran, K., & Gooley, J. J. (2012). Heart rate variability can be used to estimate sleepiness-related decrements in psychomotor vigilance during total sleep deprivation. Sleep, 35(3), 325–334.

    PubMed  PubMed Central  Google Scholar 

  • Davis, D. R., & Parasuraman, R. (1982). The psychology of vigilance. London: Academic.

    Google Scholar 

  • De Beukelaar, T. T., van Soom, J., Huber, R., & Wenderoth, N. (2016). A day awake attenuates motor learning-induced increases in corticomotor excitability. Frontiers in human neuroscience, 10, 138. https://doi.org/10.3389/fnhum.2016.00138.

    Article  PubMed  PubMed Central  Google Scholar 

  • De Gennaro, L., Marzano, C., Veniero, D., Moroni, F., Fratello, F., Curcio, G., Ferrara, M., Ferlazzo, F., Novelli, L., Concetta Pellicciari, M., Bertini, M., & Rossini, P. M. (2007). Neurophysiological correlates of sleepiness: a combined TMS and EEG study. Neuroimage, 36(4), 1277–1287.

    Article  PubMed  Google Scholar 

  • Dinges, D. F., & Powel, J. W. (1985). Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations. Behavior Research Methods, Instruments, & Computers, 17(6), 652–655. https://doi.org/10.3758/BF03200977.

    Article  Google Scholar 

  • Dinges, D. F., & Powell, J. W. (1988). Sleepiness is more than lapsing. Sleep Res, 17, 84.

    Google Scholar 

  • Dinges, D., & Grace, R. (1998). PERCLOS: A valid psychophysiological measure of alertness as assessed by psychomotor vigilance. TechBrief NHTSA, Publication No. FHWA-MCRT-98-006.

    Google Scholar 

  • Doran, S. M., Van Dongen, H. P. A., & Dinges, D. F. (2001). Sustained attention performance during sleep deprivation: Evidence of state instability. Archives Italiennes de Biologie, 139(3), 253–267.

    CAS  PubMed  Google Scholar 

  • Duffy, F. H., Burchfiel, J. L., & Lombroso, C. T. (1979). Brain electrical activity mapping (BEAM): A method for extending the clinical utility of EEG and evoked potential data. Annals of Neurology, 5(4), 309–321.

    Article  CAS  PubMed  Google Scholar 

  • Eggert, T., Sauter, C., Popp, R., Zeitlhofer, J., & Danker-Hopfe, H. (2012). Der Pupillographische Schläfrigkeitstest bei Erwachsenen: Auswirkung von Alter, Geschlecht und Tageszeit auf pupillometrische Variablen. In The American Journal of Human Biology, 24(6), 820–828. https://doi.org/10.1002/ajhb.22326.

  • Eklund, A., Nichols, Th E, & Knutsson, H. (2016). Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates. Proceedings of the National Academy of Sciences, 113(28), 7900–7905.

    Article  CAS  Google Scholar 

  • Fabbri, M., Martoni, M., Esposito, M. J., Brighetti, G., & Natale, V. (2006). Postural control after a night without sleep. Neuropsychologica, 44, 2520–2525.

    Article  Google Scholar 

  • Ferry, E. S. (1892). Persistence of vision. American Journal of Sciences, 44, 192–207.

    Google Scholar 

  • Findley, L., Unverzagt, M., Guchu, R., Fabrizio, M., Buckner, J., & Suratt, P. (1995). Vigilance and automobile accidents in patients with sleep apnea or narcolepsy. Chest, 108, 619–624.

    Article  CAS  PubMed  Google Scholar 

  • Folkard, S., Hume, K. I., Minors, D. S., Waterhouse, J. M., & Watson, F. L. (1985). Independence of the circadian rhythm in alertness from the sleep/wake cycle. Nature, 313, 678–679.

    Article  CAS  PubMed  Google Scholar 

  • Forsman, P., Wallin, A., & Hæggström, E. (2010). Validation of a posturographic approach to monitor sleepiness. Journal of Biomechanics, 43, 3214–3216. https://doi.org/10.1016/jbiomech.2010.08.013.

    Article  PubMed  Google Scholar 

  • Funke, M. E., Warm, J. S., Matthews, G., Funke, G. J., Chiu, P. Y., Shaw, T. H., & Greenlee, E. T. (2017). The neuroergonomics of vigilance: Effects of spatial uncertainty on cerebral blood flow velocity and oculomotor fatigue. Human Factors, 59(1), 62–75. https://doi.org/10.1177/0018720816683121.

    Article  PubMed  Google Scholar 

  • Gartenberg, D., Gunzelmann, G., Hassanzadeh-Behbaha, S., & Trafton, G. (2018). Examining the role of task requirements in the magnitude of the vigilance decrement. Frontiers in psychology. https://doi.org/10.3389/fpsyg.2018.01504.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gevers, W., Deliens, G., Hoffmann, S., Notebaert, W., & Peigneux, P. (2015). Sleep deprivation selectively disrupts top-down adaptation to cognitive conflict in the stroop test. Journal of Sleep Research, 24(6), 666–672. https://doi.org/10.1111/jsr.12320.

    Article  PubMed  Google Scholar 

  • Hauschild, P. R. (2017). Unterscheidung von psychischen Störungen durch psychophysiologische Parameter des autonomen Nervensystems. Dissertation, Sigmund Freud PrivatUniversität, Wien.

    Google Scholar 

  • Henelius, A., Sallinen, M., Huotilainen, M., Müller, K., Virkkala, J., & Puolamäki, K. (2014). Heart rate variability for evaluating vigilant attention in partial chronic sleep restriction. Sleep, 37(7), 1257–1267.

    Article  PubMed  PubMed Central  Google Scholar 

  • Herrmann, W. H., Kern, U., & Röhmel, J. (1986). Contribution to the search for vigilance-indicative EEG variables. Results of a controlled, double-blind study with pyritinol in elderly patients with symptoms of mental dysfunction. Pharmacopsychiatry, 19(2), 75–83. https://doi.org/10.1055/s-2007-1017159.

    Article  CAS  PubMed  Google Scholar 

  • Hoddes, E., Zarcone, V., Smythe, H., Phillips, R., & Dement, W. C. (1973). Quantification of sleepiness: A new approach. Psychophysiology, 10(4), 431–436.

    Article  CAS  PubMed  Google Scholar 

  • Hon, E. H., & Lee, S. T. (1963a). The fetal electrocardiogram I. The electrocardiogram of the dying fetus. American Journal of Obstetrics and Gynecology, 87, 804–813.

    Article  CAS  PubMed  Google Scholar 

  • Hon, E. H., & Lee, S. T. (1963b). The fetal electrocardiogram II. Measuring techniques. The American Journal of Obstetrics and Gynecology, 24, 6–11.

    Google Scholar 

  • Horne, J. A. (1988). Why we sleep: The functions of sleep in humans and other mammals. Oxford: Oxford University Press.

    Google Scholar 

  • Houldin, E., Fang, Z., Ray, L. B., Owen, A. M., & Fogel, S. M. (2018). Towards a complete taxonomy of resting state networks across wakefulness and sleep: An assessment of spatially distinct resting state network using independent component analysis. Sleep, ahead of print. https://doi.org/10.1093/sleep/zsy235.

  • Hjollund, N. H., Andersen, J. H., & Bech, B. (2007). Assessment of fatigue in chronic disease: A bibliographic study of fatigue measurement scales. Health and Qual Life Outcomes, 5, 12. https://doi.org/10.1186/1477-7525-5-12.

    Article  Google Scholar 

  • Jarrin, D. C., Ivers, H., Lamy, M., Chen, I. Y., Harvey, A. G., & Morin, C. M. (2018). Cardiovascular autonomic dysfunction in insomnia patients with objective short sleep duration. Journal of Sleep Research, 27(3), e12663. https://doi.org/10.1111/jsr.12663.

    Article  PubMed  PubMed Central  Google Scholar 

  • Johns, M. W. (1991). A new method for measuring daytime sleepiness: The Epworth Sleepiness Scale. Sleep, 14(6), 540–545.

    Article  CAS  PubMed  Google Scholar 

  • Johns, M. W. (2002). Sleep propensity varies with behaviour and the situation in which it is measured: The concept of somnificity. Journal of Sleep Research, 11(1), 61–67. https://doi.org/10.1046/j.1365-2869.2002.00274.x.

    Article  PubMed  Google Scholar 

  • Kemethofer, M. (2013). Behaviour patterns and effects of napping during night-time driving. Master thesis. http://othes.univie.ac.at/27554/.

  • Kim, Y. S., Baek, H. J., Kim, J. S., Lee, H. B., Choi, J. M., & Park, K. S. (2009). Helmet-based physiological signal monitoring system. European Journal of Applied Physiology, 105(3), 365–372. https://doi.org/10.1007/s00421-008-0912-6.

    Article  PubMed  Google Scholar 

  • Kircheis, G., Wettstein, M., Timmermann, L., Schnitzler, A., & Haussinger, D. (2002). Critical flicker frequency for quantification of low-grade hepatic encephalopathy. Hepatology, 35, 357–366.

    Article  PubMed  Google Scholar 

  • Kishida, K. (1977). A study on subsidiary behaviour in monotonuous work. International Journal of Production Research, 15, 609–621.

    Article  Google Scholar 

  • Klösch, G., Gruber, G., Anderer, P., & Saletu, B. (2001). Activity monitoring in sleep research, medicine and psychopharmacology. Wiener Klinische Wochenschrift, 113(7–8), 288–295.

    PubMed  Google Scholar 

  • Koella, W. P. (1982). A modern neurobiological concept of vigilance. Experiencia, 38, 1426–1437.

    Article  CAS  Google Scholar 

  • Kowles, O. E., Drinkwater, E. J., Urwin, Ch S, & Lamon, S. (2018). Inadequate sleep and muscle strength: implications for resistance training. Journal of Science and Medicine in Sports, 21, 959–968. https://doi.org/10.1016/j.jsams.2018.01.012.

    Article  Google Scholar 

  • König G (2012) An electroencephalography-based model of daytime vigilance trends. Doctoral thesis, online verfügbar unter: http://data.onb.ac.at/rec/AC07813933.

  • Krieger, A. C., Ayappa, I., Norman, R. G., Rapoport, D. M., & Walsleben, J. (2004). Comparison of the maintenance of wakefulness test (MWT) to a modified behavioral test (OSLER) in the evaluation of daytime sleepiness. Journal of Sleep Research, 13(4), 407–411.

    Article  PubMed  Google Scholar 

  • Krupp, L. B., LaRocca, N. G., Muir-Nash, J., & Steinberg, A. D. (1989). The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Archives of Neurology, 46, 1121–11213.

    Article  CAS  PubMed  Google Scholar 

  • Kugler, J., Johannes, K. J., Taub, M., & Tuluwejt, K. (1978). Elektroencephalographische Vigilanzbestimmung nach Gabe von Amitriptylin-N-Oxid. Arzneimittel- Forsch, 28, 475–479.

    CAS  Google Scholar 

  • Kugler, J., & Leutner, V. (Hrsg.). (1984). Vigilanz. Ihre Bestimmung und Beeinflussung. Basel: Edition Roche.

    Google Scholar 

  • Lairy-Bounes, G. C., Garcia-Badaracco, J., & Dell, M. B. (1953). Epilepsie et troubles de la vigilance. Encéphale, 2, 170–192.

    Google Scholar 

  • Lerdal, A., & Kottorp, A. (2011). Psychometric properties of the fatigue severity scale – Rasch analyses of individual responses in a Norwegian stroke cohort. International Journal of Nursing Studies, 48(10), 1258–1265.

    Article  PubMed  Google Scholar 

  • Loomis, A. L., Harvey, N., & Hobart, G. E. (1937). Cerebral states during sleep, as studied by human brain potentials. Journal of Experimental Psychology, 21(2), 127–144.

    Article  Google Scholar 

  • Maccora, J., Manousakis, J. E., & Anderson, C. (2019). Pupillary instability as an accurate, objective marker of alertness failure and performance impairment. Journal of Sleep Research, 28(2), e127399.

    Google Scholar 

  • Mackworth, N. H. (1948). The breakdown of vigilance during prolonged visual search. Quarterly Journal of Experimental Psychology, 1, 6–21.

    Article  Google Scholar 

  • Mackworth, N. H. (1950). Researches on the measurements of human performance (Special Report Series No. 268). London: Medical Research Council.

    Google Scholar 

  • MacLean, A., Fekken, G. C., Saskin, P., & Knowles, J. B. (1992). Psychometric evaluation of the Stanford Sleepiness Scale. Journal of Sleep Research, 1, 35–39.

    Article  CAS  PubMed  Google Scholar 

  • Mathis, J., & Hess, C. (2009). Sleepiness and vigilance tests. Swiss Medical Weekly, 139(16), 214–219.

    CAS  PubMed  Google Scholar 

  • McLellan, T., Caldwell, J. A., & Lieberman, H. R. (2016). A review of caffeine’s effects on cognitive, physical and occupational performance. Neuroscience and Biobehavioral Reviews, 71, 294–312.

    Article  CAS  PubMed  Google Scholar 

  • Mitler, M. M., Gujavarty, K. S., & Browman, C. P. (1982). Maintenance of wakefulness test: A polysomnographic technique for evaluating treatment efficacy in patients with excessive somnolence. Electroencephalography and Clinical Neurophysiology, 53, 658–661.

    Article  CAS  Google Scholar 

  • Mitra, A., Snyder, A. Z., Tagliazucchi, E., Laufs, H., & Raichle, M. (2015). Propagated infra-slow intrinsic brain activity reorganizes across wake and slow wave sleep. Elife, 4pii, e10781. https://doi.org/10.7554/eLife.10781.

    Article  Google Scholar 

  • Monk, T. H. (1987). Subjective ratings of sleepiness – The underlying circadian mechanism. Sleep, 10(4), 343–353.

    Article  CAS  PubMed  Google Scholar 

  • Monk, T. H. (1989). A visual analogue scale technique to measure global vigor and affect. Psychiatry Research, 27, 89–99.

    Article  CAS  PubMed  Google Scholar 

  • Monnard, C. R., Fares, E. J., Calonne, J., Miles-Chan, J. L., Montani, J. P., Durrer, D., Schutz, Y., & Dulloo, A. G. (2017). Issues in continuous 24-h core body temperature monitoring in humans using an ingestible capsule telemetric sensor. Frontiers in Endocrinology, 8, 130. https://doi.org/10.3389/fendo.2017.00130.

    Article  PubMed  PubMed Central  Google Scholar 

  • Moore-Ede, M., Heitmann, A., Guttkuhn, R., Trutschel, U., Aguirre, A., & Croke, U. (2004). Circadian alertness simulator for fatigue risk assessment in transportation: application to reduce frequency and severity of truck accidents. Aviation, Space and Environmental Medicine, 75(3 Suppl), A107–118.

    Google Scholar 

  • Murphy, K., & Fox, M. D. (2017). Towards a consensus regarding global signal regression for resting state functional connectivity MRI. Neuroimage, 154, 169–173. https://doi.org/10.1016/j.neuroimage.2016.11.052.

    Article  PubMed  Google Scholar 

  • Olbrich, S., Fischer, M. M., Sander, C., Hegerl, U., Wirtz, H., & Bosse-Henck, A. (2015). Objective markers for sleep propensity: Comparison between the Multiple Sleep Latency Test and the Vigilance Algorithm Leipzig. Journal of Sleep Research, 24(4), 450–457.

    Article  PubMed  Google Scholar 

  • Ota, T., Toyoshima, R., & Yamauchi, T. (1996). Measurements by biphasic changes of the alpha ban amplitude as indicators of arousal level. International Journal of Psychophysiology, 24(1–2), 25–37.

    Article  CAS  PubMed  Google Scholar 

  • Pascual-Marqui, R. D., Esslen, M., Kochi, K., & Lehmann, D. (2002). Functional imaging with low-resolution brain electromagnetic tomography (LORETA): A review. Methods and Findings in Experimental and Clinical Pharmacology, 24(Suppl.C):91–95.

    Google Scholar 

  • Penzel, T., Hajak, G., Hoffmann, R. M., Lund, R., Podszus, T., Pollmächer, T., Schäfer, T., Schulz, H., Sonnenschein, W., & Spieweg, I. (1993). Deutsche Gesellschaft für Schlafforschung und Schlafmedizin (DGS). Empfehlungen zur Durchführung und Auswertung polygraphischer Ableitungen im diagnostischen Schlaflabor. Zeitschrift für Elektroenzephalographie, Elektromyographie und verwandte Gebiete, 24, 65–70.

    Google Scholar 

  • Petit, E., Bourdin, H., Tio, G., Yenil, O., Haffen, E., & Mougin, F. (2018). Effects of a 20-min nap post normal and jet lag conditions on P300 components in athletes. International Journal of Sports Medicine, 39(7), 508–516. https://doi.org/10.1055/a-0599-0888.

    Article  PubMed  Google Scholar 

  • Plante, D. T. (2017). Sleep propensity in psychiatric hypersomnolence: A systematic review and meta-analysis of multiple sleep latency test findings. Sleep Medicine Reviews, 31, 48–57. https://doi.org/10.1016/j.smrv.2016.01.004.

    Article  PubMed  Google Scholar 

  • Popp, R. (2014). Vigilanztests bei Kindern – Welche diagnostischen Möglichkeiten haben wir? In B. Schneider (Hrsg.), Aktuelle Kinderschlafmedizin 2014 (S. 77–83). Dresden: kleanthes.

    Google Scholar 

  • Richardson, G. S., Carskadon, M. A., Flagg, W., Van den Hoed, J., Dement, W. C., & Mitler, M. M. (1978). Excessive daytime sleepiness in man: Multiple sleep latency measurement in narcoleptic and control subjects. Electroencephalography and clinical neurophysiology, 45, 621–627.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Rogé, J., Pebayle, T., & Muzet, A. (2001). Variations of the level of vigilance and of behavioural activities during simulated automobile driving. Accident Analysis and Prevention, 33, 181–186.

    Article  PubMed  Google Scholar 

  • Roman-Liu, D., Grabarek, I., Bartuzi, P., & Choromanski, W. (2013). The influence of mental load on muscle tension. Ergonomics, 56(7), 1125–1133. https://doi.org/10.1080/00140139.2013.798429.

    Article  CAS  PubMed  Google Scholar 

  • Roth, B., Nevsimalova, S., Sonka, K., & Docekal, P. (1986).An alternative to the Multiple Sleep Latency Test for determining sleepiness in narcolepsy and hypersomnia: Polygraphic score of sleepiness. Sleep, 9(1), 243–245.

    Google Scholar 

  • Sämann, P. G., Wehrle, R., Hoehn, D., Spoormaker, V. I., Peters, H., Tuffy, C., Holsboer, F., & Czisch, M. (2011). Development of the brain’s default mode network from wakefulness to slow wave sleep. Cerebral Cortex, 21, 2092–2093. https://doi.org/10.1093/bhq295.

    Article  Google Scholar 

  • Sander, C., Hensch, T., Wittekind, D. A., Böttger, D., & Hegerl, U. (2015). Assessment of wakefulness and brain arousal regulation in psychiatric research. Neuropsychobiology, 72, 195–205. https://doi.org/10.1159/000439384.

    Article  PubMed  Google Scholar 

  • Sargent, Ch., Darwent, D., Ferguson, S., & Roach, G. D. (2012). Can a simple balance task be used to assess fitness for duty? Accident Analysis and Prevention, 45S, 74–79. https://doi.org/10.1016/j.aap.2011.09.030.

    Article  Google Scholar 

  • Sauter, C., Danker-Hopfe, H., Loretz, E., Zeitlhofer, J., Geisler, P., & Popp, R. (2013). The assessment of vigilance: Normative data on the Siesta sustained attention test. Sleep Medicine, 14, 542–548. https://doi.org/10.1016/j.sleep.2013.01.011.

    Article  PubMed  Google Scholar 

  • Saletu, B., Anderer, P., Kinsperger, K., & Grünberger, J. (1987). Topographic brain mapping of EEG in neuropsychopharmacology – Part II. Clinical applications (pharmaco EEG imaging). Methods and Findings in Experimental and Clinical Pharmacology, 9(6), 385–408.

    CAS  PubMed  Google Scholar 

  • Saletu, B., Frey, R., Krupka, M., Anderer, P., Grünberger, J., & Barbanoj, M. J. (1989). Differential effects of the new central adrenergic agonist modafinil and d-amphetamine on sleep and early morning behaviour in elderlies. Arzneimittel-Forschung, 39(10), 1268–1273.

    CAS  PubMed  Google Scholar 

  • Saletu, M., Anderer, P., Saletu-Zyhlarz, G. M., Mandl, M., Arnold, O., Zeitlhofer, J., & Saletu, B. (2004). EEG-tomographic studies with LORETA on vigilance differences between narcolepsy patients and controls and subsequent double-blind, placebo-controlled studies with modafinil. Journal of Neurology, 251, 1354–1363. https://doi.org/10.1007/s00415-004-0543-8.

    Article  CAS  PubMed  Google Scholar 

  • Schmidtke, H. (1965). Die Ermüdung. Bern: Huber.

    Google Scholar 

  • Schleicher, R., Galley, N., Briest, S., & Galley, L. (2008). Blinks and saccades as indicators of fatigue in sleepiness warnings: Looking tired? Ergonomics, 51(7), 982–1010. https://doi.org/10.1080/00140130701817062.

    Article  CAS  PubMed  Google Scholar 

  • Shen, J., Botly, L. C. P., Chung, S. A., Gibbs, A. L., Sabanadzovic, S., & Shapiro, C. M. (2006). Fatigue and shift work. Journal of Sleep Research, 15, 1–5.

    Article  PubMed  Google Scholar 

  • Sigl, J. C., & Chamoun, N. G. (1994). An introduction to bispectral analysis for the electroencephalogram. Journal of Clinical Monitoring, 10(6), 392–404.

    Article  CAS  PubMed  Google Scholar 

  • Smit, A. S., Eling, P. A., & Coenen, A. M. (2004). Mental effort causes vigilance decrease due to resource depletion. Acta Psychologica, 115, 35–42.

    Article  PubMed  Google Scholar 

  • Smit, A. S., Eling, P. A., Hopman, M. T., & Coenen, A. M. (2005). Mental and physical effort affect vigilance differently. International Journal of Psychophysiology, 57(3), 211–217.

    Article  PubMed  Google Scholar 

  • Smith, J. M., & Misiak, H. (1976). Critical flicker frequency (CFF) and psychotropic drugs in normal human subjects – A review. Psychopharmacologia, 47(2), 175–182.

    Article  CAS  PubMed  Google Scholar 

  • Stampi, C., Stone, P., & Michimori, A. (1993). The alpha attenuation test: a new quantitative method for assessing sleepiness and its relation to the MSLT. Sleep Research, 22, 115.

    Google Scholar 

  • Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643–662. https://doi.org/10.1037/h0054651.

    Article  Google Scholar 

  • Sturm, W., & Willmes, K. (2001). On the functional neuroanatomy of intrinsic and phasic alertness. Neuroimage, 14(1,2), 76–84.

    Google Scholar 

  • Sundelin, T., Lekander, M., Kecklund, G., Van Someren, E., Olsson, A., & Axelsson, J. (2013). Cues of fatigue: Effects of sleep deprivation on facial appearance. Sleep, 36(9), 1355–1360. https://doi.org/10.5665/sleep.2964.

    Article  PubMed  PubMed Central  Google Scholar 

  • Sundelin, T., Lekander, M., Sorjonen, K., & Axelsson, J. (2017). Negative effects of restricted sleep on facial appearance and social appeal. Royal Society Open Science, 4, 160918. https://doi.org/10.1098/rsos.160918.

    Article  PubMed  PubMed Central  Google Scholar 

  • Takanishi, T., Ebara, T., Murasaki, G., Kubo, T., Tachi, N., Itani, T., & Kamijima, M. (2010). Interactive model of subsidiary behaviors, work performance and autonomic nerve activity during visual display terminal work. Journal Of Occupational Health, 52, 39–47.

    Article  PubMed  Google Scholar 

  • Task Force. (1996). Heart rate variability standards of measurement, physiological interpretations and clinical use. Task force of the European Society of cardiology and the North American Society of pacing and electrophysiology. Circulation, 93(5), 1043–1065.

    Google Scholar 

  • Tryon, W. W. (1991). Activity measurements in psychology and medicine. New York: Plenum Press.

    Book  Google Scholar 

  • Valko, P. O., Bassetti, C. L., Bloch, K. E., Held, U., & Baumann, Ch R. (2008). Validation of the fatigue severity scale in a Swiss cohort. Sleep, 31(11), 1601–1607.

    Article  PubMed  PubMed Central  Google Scholar 

  • Vandewalle, G., Middleton, B., Rajaratnam, S. M. W., Stone, B. M., Thoreleifsdottir, B., Arendt, J., & Dijk, D. J. (2007). Robust circadian rhythm in heart rate and its variability: Influence of exogenous melatonin and photoperiod. Journal of Sleep Research, 16, 148–155.

    Article  PubMed  Google Scholar 

  • Van den Berg, J., Neely, G., Wiklund, U., & Landström, U. (2005). Heart rate variability during sedentary work and sleep in normal and sleep-deprived states. Clinical Physiology and Functional Imaging, 25, 51–57.

    Article  PubMed  Google Scholar 

  • Van den Heuvel, M. P., & Pol, H. E. (2010). Exploring the brain network: A review on resting-state fMRI functional connectivity. European Neuropsychopharmacology, 20, 519–534. https://doi.org/10.1016/j.euroneuro.2010.03.008.

    Article  CAS  PubMed  Google Scholar 

  • Van Someren, E. J. W., Swaab, D. F., Colenda, C. C., Cohen, W., McCall, W. V., & Rosenquist, P. B. (1999). Bright light therapy: Improved sensitivity to its effects on rest-activity rhythms in Alzheimer patients by application of nonparametric methods. Chronobiology International, 16(4), 505–518.

    Article  PubMed  Google Scholar 

  • Verstraeten, E., & Cluydts, R. (2002). Attentional switching-related human EEG alpha oscillations. NeuroReport, 13(5), 681–684.

    Article  PubMed  Google Scholar 

  • Warm, J. S., Parasuraman, R., & Matthews, G. (2008). Vigilance requires hard mental work and is stressful. Human Factors, 50(3), 433–441.

    Article  PubMed  Google Scholar 

  • Weeß, H. G., Schürmann, T., Binder, R., & Steinberg, R. (2008). Landecker Inventar zur Erfassung von Schlafstörungen. Frankfurt a. M.: Pearson Assessment & Information.

    Google Scholar 

  • Weeß, H. G., Sauter, C., Geisler, P., Böhning, W., Wilhelm, B., Rotte, M., Gresele, C., Schneider, C., Schulz, H., Lund, R., Steinberg, R., & die Arbeitsgruppe Vigilanz der Deutschen Gesellschaft für Schlafforschung und Schlafmedizin (DGSM). (2000). Vigilanz, Einschlafneigung, Daueraufmerksamkeit, Müdigkeit, Schläfrigkeit – Diagnostische Instrumente zur Messung müdigkeits- und schläfrigkeitsbezogener Prozesse und deren Gütekriterien. Somnologie, 4, 20–38.

    Article  Google Scholar 

  • Welles, A. P., Xu, X., Santee, W. R., Looney, D. P., Buller, M. J., Potter, A. W., & Hoyt, R. W. (2018). Estimation of core body temperature from skin temperature, heat flux, and heart rate using a Kalman filter. Computers in Biology and Medicine, 99, 1–6. https://doi.org/10.1016/j.compbiomed.2018.05.021.

    Article  PubMed  Google Scholar 

  • Wierwille, W. W., & Ellsworth, L. A. (1994). Evaluation of driver drowsiness by trained raters. Accident Analysis and Prevention, 26(5), 571–581.

    Article  CAS  PubMed  Google Scholar 

  • Wierwille, W. W., Ellsworth, L. A., Wreggit, S. S., Fairbanks, R. J., & Kirn, C. L. (1994). Research on vehicle-based driver status/performance monitoring: development, validation, and refinement of algorithms for detection of driver drowsiness. National Highway Traffic Safety Administration Final Report: DOT HS, 808, 247.

    Google Scholar 

  • Wilhelm, B., Körner, A., Heldmaier, K., Moll, K., Wilhelm, H., & Lüdtke, H. (2001). Normwerte des pupillografischen Schläfrigkeitstests für Frauen und Männer zwischen 20 und 60 Jahren. Somnologie, 5, 115–120.

    Article  Google Scholar 

  • Wright, K. J. R., Hull, J. T., & Czeisler, Ch. (2002). Relationship between alertness, performance, and body temperature in humans. American Journal of Physiology: Regulatory, Integrative and Comparative Physiology, 283, 1370–1377. https://doi.org/10.1152/ajpregu.00205.2002.

    Article  Google Scholar 

  • Yang, Ch M, Lin, F. W., & Spielman, A. J. (2004). A standard procedure enhances the correlation between subjective and objective measures of sleepiness. Sleep, 27(2), 329–332.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Universität Klinik für Neurologie, Medizinische Universität Wien, Wien, Österreich

    Gerhard Klösch

  2. Institut für ChronoPsychologie, Sigmund Freud Privat-Universität, Wien, Österreich

    Peter Hauschild & Josef Zeitlhofer

Authors
  1. Gerhard Klösch
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Peter Hauschild
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Josef Zeitlhofer
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gerhard Klösch .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Klösch, G., Hauschild, P., Zeitlhofer, J. (2020). Messverfahren zur Erfassung vigilanzassoziierter Prozesse. In: Ermüdung und Arbeitsfähigkeit. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59139-0_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-59139-0_8

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-59138-3

  • Online ISBN: 978-3-662-59139-0

  • eBook Packages: Medicine (German Language)

Publish with us

Policies and ethics

Search

Navigation