Validation of the Karolinska sleepiness scale against performance and EEG variables

Kaida, Kosuke; Takahashi, Masaya; Åkerstedt, Torbjörn; Nakata, Akinori; Otsuka, Yasumasa; Haratani, Takashi; Fukasawa, Kenji

doi:10.1016/j.clinph.2006.03.011

Cited by 708 publications

(466 citation statements)

References 34 publications

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“…The Japanese version of the scale has been demonstrated to be reliable and valid 28) . The KSS evaluates sleepiness on a 9-point scale, with evaluations ranging from "very alert" (score=1) to "very sleepy, fighting sleep" (score=9).…”

Section: Daytime Sleepinessmentioning

confidence: 99%

Effect of Brief Sleep Hygiene Education for Workers of an Information Technology Company

et al. 2010

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Section: Daytime Sleepinessmentioning

confidence: 99%

Effect of Brief Sleep Hygiene Education for Workers of an Information Technology Company

et al. 2010

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“…The Karolinska Sleepiness Scale (KSS), an often-used questionnaire that has been validated against electroencephalographic (EEG) parameters (Åkerstedt & Gillberg, 1990;Kaida et al, 2006), was completed daily 5 and 30 min after rising. The KSS ranges from 1 to 9; the higher the reported value the greater the sleepiness.…”

Section: Measurementsmentioning

confidence: 99%

Effects of Artificial Dawn on Subjective Ratings of Sleep Inertia and Dim Light Melatonin Onset

Giménez

Hessels²,

Werken³

et al. 2010

Chronobiology International

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Effects of artificial dawn on subjective ratings of sleep inertia and dim light melatonin onset Gimenez, Marina C.; Hessels, Martijn; van de Werken, Maan; de Vries, Bonnie; Beersma, Domien G. M.; Gordijn, Marijke C. M. Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. The timing of work and social requirements has a negative impact on performance and well-being of a significant proportion of the population in our modern society due to a phenomenon known as social jetlag. During workdays, in the early morning, late chronotypes, in particular, suffer from a combination of a nonoptimal circadian phase and sleep deprivation. Sleep inertia, a transient period of lowered arousal after awakening, therefore, becomes more severe. In the present home study, the authors tested whether the use of an alarm clock with artificial dawn could reduce complaints of sleep inertia in people having difficulties in waking up early. The authors also examined whether these improvements were accompanied by a shift in the melatonin rhythm. Two studies were performed: Study 1: three conditions (0, 50, and 250 lux) and Study 2: two conditions (0 lux and self-selected dawn-light intensity). Each condition lasted 2 weeks. In both studies, the use of the artificial dawn resulted in a significant reduction of sleep inertia complaints. However, no significant shift in the onset of melatonin was observed after 2 weeks of using the artificial dawn of 250 lux or 50 lux compared to the control condition. A multilevel analysis revealed that only the presence of the artificial dawn, rather than shift in the dim light melatonin onset or timing of sleep offset, is related to the observed reduction of sleep inertia complaints. Mechanisms other than shift of circadian rhythms are needed to explain the positive results on sleep inertia of waking up with a dawn signal. (Author correspondence: m.c.gimenez@rug.nl)

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“…The KSS, used in the Interspeech 2011 speaker state challenge, has been validated against performance and EEG measures [11], and although significant correlations were found for most of the measures the highest correlation found (that between KSS and reaction time) had only r=0.57 (standard deviation = 0.25). The authors point out that subjective sleepiness cannot be regarded as a substitute for performance measurements, and similarly that one performance measure cannot usually be substituted for another.…”

Section: Introductionmentioning

confidence: 99%

The Prediction of Fatigue Using Speech as a Biosignal

Baykaner¹,

Huckvale²,

Whiteley³

et al. 2015

Statistical Language and Speech Processing

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Abstract. Automatic systems for estimating operator fatigue have application in safety-critical environments. We develop and evaluate a system to detect fatigue from speech recordings collected from speakers kept awake over a 60-hour period. A binary classification system (fatigued/not-fatigued) based on time spent awake showed good discrimination, with 80% unweighted accuracy using raw features, and 90% with speaker-normalised features. We describe the data collection, feature analysis, machine learning and cross-validation used in the study. Results are promising for real-world applications in domains such as aerospace, transportation and mining where operators are in regular verbal communication as part of their normal working activities.

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Validation of the Karolinska sleepiness scale against performance and EEG variables

Cited by 708 publications

References 34 publications

Effect of Brief Sleep Hygiene Education for Workers of an Information Technology Company

Effect of Brief Sleep Hygiene Education for Workers of an Information Technology Company

Effects of Artificial Dawn on Subjective Ratings of Sleep Inertia and Dim Light Melatonin Onset

The Prediction of Fatigue Using Speech as a Biosignal

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