Quantifying microsleep to help assess subjective sleepiness

Blaivas, Allen J.; Patel, Rajeshri; Hom, David L.; Antigua, Kenneth; Ashtyani, Hormoz

doi:10.1016/j.sleep.2006.06.011

Cited by 35 publications

(20 citation statements)

References 7 publications

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“…Clearly, such microsleeps can be dangerous during tasks requiring alertness, and the detection of sleep-like behavior or EEG changes is being pursued to reduce risks 19 . However, careful observation of our rats, which were exposed to a relatively short period of sleep deprivation, did not reveal any indication of sleep: their eyes were open, they responded to stimuli, and their EEG was unambiguously a wake EEG (Fig.…”

Section: Local Off Periods In Wake Lead To Behavioral Deficitsmentioning

confidence: 99%

Local sleep in awake rats

Vyazovskiy

Olcese

Hanlon

et al. 2011

Nature

743

724

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When the brain is awake, neurons in the cerebral cortex fire irregularly and the electroencephalogram (EEG) displays low amplitude, high frequency fluctuations. After falling asleep, neurons start oscillating between ON periods, when they fire as during wake, and OFF periods, when they stop firing altogether, and the EEG displays high amplitude slow waves. But what happens to neuronal firing after a long period of wake? We show here in freely behaving rats that, after prolonged wake, cortical neurons can go briefly “OFF line” as they do in sleep, accompanied by slower waves in the local EEG. Strikingly, neurons often go OFF line in one cortical area and not in another. During these periods of “local sleep”, whose incidence increases with wake duration, rats appear awake, active, and display a wake EEG. However, they are progressively impaired in a sugar pellet reaching task. Thus, though both the EEG and behavior indicate wakefulness, local populations of neurons in the cortex may be falling asleep, with negative consequences on performance.

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Section: Local Off Periods In Wake Lead To Behavioral Deficitsmentioning

confidence: 99%

Local sleep in awake rats

Vyazovskiy

Olcese

Hanlon

et al. 2011

Nature

743

724

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“…[18] Extending work shifts past 17 consecutive hours increases the likelihood of errors in clinical settings and laboratory. [19] The physiologic pressure for sound sleep increases with accumulative hours since the last sleep episode. The way to get over the debt is to invest in sound sleep (daytime naps); unfortunately very few professionals enjoy the luxury of catnaps.…”

Section: Introductionmentioning

confidence: 99%

The fatigued anesthesiologist: A threat to patient safety?

Sinha

Singh

Tewari

2013

J Anaesthesiol Clin Pharmacol

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Universally, anesthesiologists are expected to be knowledgeable, astutely responding to clinical challenges while maintaining a prolonged vigilance for administration of safe anesthesia and critical care. A fatigued anesthesiologist is the consequence of cumulative acuity, manifesting as decreased motor and cognitive powers. This results in impaired judgement, late and inadequate responses to clinical changes, poor communication and inadequate record keeping. With rising expectations and increased medico-legal claims, anesthesiologists work round the clock to provide efficient and timely services, but are the "sleep provider" in a sleep debt them self? Is it the right time to promptly address these issues so that we prevent silent perpetuation of problems pertinent to anesthesiologist’s health and the profession. The implications of sleep debt on patient safety are profound and preventive strategies are quintessential. Anesthesiology governing bodies must ensure requisite laws to prevent the adverse outcomes of sleep debt before patient care is compromised.

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“…Episodes with sleep symptoms, but with a short duration between 3 and 15 seconds are defined as the microsleeps. The epoch would be classified as a sleep in case, they were longer than 15 seconds [2]. The theta rhythm with slow eye movements, K complexes, or sleep spindles is included.…”

Section: Introductionmentioning

confidence: 99%

Microsleeps and Their Detection From the Biological Signals

Holub

Šrutová

Lhotska

2017

APP

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Abstract. Microsleeps (MS) are a frequently discussed topic due to their fatal consequences. Their detection is necessary for the purpose of sleep laboratories, where they provide an option for the quantifying rate of sleep deprivation level and objective evaluation of subjective sleepiness. Many studies are dealing with this topic for automotive usage to design a fatigue countermeasure device. We made a research of recent attitude to the development of the automated MS detection methods.We created an overview of several MS detection approaches based on the measurement of biological signals. We also summarized the changes in EEG, EOG and ECG signals, which have been published over the last few years.The reproducible changes in the entire EEG spectrum, primarily with the increased activity of delta and theta, were noticed during a transition to fatigue. There were observed changes of blinking rate and reduction of eye movements during the fatigue tasks. MS correspond with variations in the autonomic regulation of the cardiovascular function, which can be quantified by HRV parameters. The decrease in HR, VLF, and LF/HF before falling asleep was revealed.EEG signal, especially its slow wave activity, considered to be the most predictive and reliable for the level of alertness. In spite of the detection from EEG signal is the most common method, EOG based approaches can also be very efficient and more driver-friendly. Besides, the signal processing in the time domain can improve the detection accuracy of the short events like MS.

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Quantifying microsleep to help assess subjective sleepiness

Cited by 35 publications

References 7 publications

Local sleep in awake rats

Local sleep in awake rats

The fatigued anesthesiologist: A threat to patient safety?

Microsleeps and Their Detection From the Biological Signals

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