Drowsiness/alertness algorithm development and validation using synchronized EEG and cognitive performance to individualize a generalized model

Published on May 1, 2011in Biological Psychology2.63
· DOI :10.1016/j.biopsycho.2011.03.003
Robin Johnson12
Estimated H-index: 12
(UCLA: University of California, Los Angeles),
Djordje Popovic11
Estimated H-index: 11
(UCLA: University of California, Los Angeles)
+ 3 AuthorsChris Berka15
Estimated H-index: 15
(UCLA: University of California, Los Angeles)
Abstract A great deal of research over the last century has focused on drowsiness/alertness detection, as fatigue-related physical and cognitive impairments pose a serious risk to public health and safety. Available drowsiness/alertness detection solutions are unsatisfactory for a number of reasons: (1) lack of generalizability, (2) failure to address individual variability in generalized models, and/or (3) lack of a portable, un-tethered application. The current study aimed to address these issues, and determine if an individualized electroencephalography (EEG) based algorithm could be defined to track performance decrements associated with sleep loss, as this is the first step in developing a field deployable drowsiness/alertness detection system. The results indicated that an EEG-based algorithm, individualized using a series of brief “identification” tasks, was able to effectively track performance decrements associated with sleep deprivation. Future development will address the need for the algorithm to predict performance decrements due to sleep loss, and provide field applicability.
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  • Citations (70)
Published on Nov 1, 2009in Current Opinion in Pulmonary Medicine2.54
Andrew C. King1
Estimated H-index: 1
Gregory Belenky41
Estimated H-index: 41
Hans P. A. Van Dongen39
Estimated H-index: 39
Purpose of review Five years ago, it was first demonstrated that there are considerable, stable individual differences in performance impairment due to sleep deprivation. The discovery of this new phenotype, which has been labeled ‘trototype’, led to a surge of research activity aiming to identify predictors. Recent findings Genes involved in the adenosinergic and circadian regulation of sleep have been identified as candidate predictors of individuals' resistance or susceptibility to performanc...
Published on Sep 1, 2009in Postgraduate Medicine2.24
Salim Surani12
Estimated H-index: 12
(BCM: Baylor College of Medicine),
Raymond Aguillar2
Estimated H-index: 2
+ 2 AuthorsShyam Subramanian14
Estimated H-index: 14
(BCM: Baylor College of Medicine)
AbstractIntroduction: Recent studies have shown a strong association between insulin resistance, diabetes mellitus, and obstructive sleep apnea (OSA). This association has not been previously reported in the Hispanic population. The objective of this study was to study the prevalence of diabetes in a cohort of Hispanic patients with OSA in comparison with a white cohort. Method: We performed a retrospective chart review of 103 Hispanic patients and 69 white patients with OSA. All patients had un...
Published on Aug 1, 2009in Metabolic Syndrome and Related Disorders1.60
Andrew D. Calvin14
Estimated H-index: 14
(Mayo Clinic),
Felipe N. Albuquerque10
Estimated H-index: 10
(Mayo Clinic)
+ 1 AuthorsVirend K. Somers96
Estimated H-index: 96
Abstract The combination of metabolic syndrome and obstructive sleep apnea (OSA) has been termed “syndrome Z.” The prevalence of both OSA and metabolic syndrome is increasing worldwide, in part linked to the epidemic of obesity. Beyond their epidemiologic relationship, growing evidence suggests that OSA may be causally related to metabolic syndrome. We are only beginning to understand the potential mechanisms underlying the OSA–metabolic syndrome interaction. Although there is no clear consensus...
Published on Jul 1, 2009in European Respiratory Journal11.81
Patrick Levy53
Estimated H-index: 53
Marisa Bonsignore36
Estimated H-index: 36
J. Eckel3
Estimated H-index: 3
Sleep profoundly affects metabolic pathways. In healthy subjects, experimental sleep restriction caused insulin resistance (IR) and increased evening cortisol and sympathetic activation. Increased obesity in subjects reporting short sleep duration leads to speculation that, during recent decades, decreased sleeping time in the general population may have contributed to the increasing prevalence of obesity. Causal inference is difficult due to lack of control for confounders and inconsistent evid...
Published on Jan 1, 2009in Geriatric Nursing1.52
Ethel Mitty EdD1
Estimated H-index: 1
Sandi Flores7
Estimated H-index: 7
Excessive daytime somnolence (EDS) is associated with age-related changes, environment, circadian rhythm or sleep pattern disorder, insomnia, medications, lifestyle factors, depression, pain, and illness. The notion of “sleep architecture” connotes a structure that describes the sleep cycle (i.e., stages) and wakefulness during a single sleep period—that is, rapid eye movement (REM) and non-REM sleep. Circadian rhythms perform a variety of functions including regulation of the quality and distri...
Published on Sep 1, 2008in Journal of Sleep Research3.43
Keith Wong24
Estimated H-index: 24
(National Health and Medical Research Council),
Nathaniel S. Marshall27
Estimated H-index: 27
(National Health and Medical Research Council)
+ 2 AuthorsNaomi L. Rogers25
Estimated H-index: 25
(USYD: University of Sydney)
We hypothesized that individuals with untreated obstructive sleep apnea (OSA) would exhibit greater vulnerability to sleep deprivation than healthy controls, due to the additional neurobiological 'load' of chronic sleep fragmentation. After baseline sleep with 8 h time in bed, participants remained awake for 40 h. Psychomotor Vigilance Task (PVT, mean slowest 10% 1/RT), AusEd Driving Simulator task (steering and speed deviation), and subjective sleepiness (Karolinska Sleepiness Scale, KSS) were ...
Published on Feb 1, 2008in Journal of Applied Physiology3.14
Srinivasan Rajaraman8
Estimated H-index: 8
Andrei V. Gribok18
Estimated H-index: 18
+ 2 AuthorsJaques Reifman23
Estimated H-index: 23
We present a new method for developing individualized biomathematical models that predict performance impairment for individuals restricted to total sleep loss. The underlying formulation is based on the two-process model of sleep regulation, which has been extensively used to develop group-average models. However, in the proposed method, the parameters of the two-process model are systematically adjusted to account for an individual's uncertain initial state and unknown trait characteristics, r...
Published on Jan 1, 2008
Jia-Wei Fu1
Estimated H-index: 1
(SJTU: Shanghai Jiao Tong University),
Mu Li1
Estimated H-index: 1
(SJTU: Shanghai Jiao Tong University),
Bao-Liang Lu31
Estimated H-index: 31
(SJTU: Shanghai Jiao Tong University)
Although sleep and wake can be easily distinguished by using EEG, how to detect a drowsy state before subject falls asleep is of more importance in avoiding fatal consequences in accidents behind steering wheel caused by low level vigilance. Starting with the classical problem of difference between wake and sleep, we pro- pose a method based on probabilistic principle component analysis (PPCA) and succeed in detecting drowsiness distinguished from wake and sleep based on EEG.
Published on Jan 1, 2008in Accident Analysis & Prevention3.06
Stuart D. Baulk12
Estimated H-index: 12
(UniSA: University of South Australia),
Sarah N. Biggs19
Estimated H-index: 19
(University of Adelaide)
+ 2 AuthorsDrew Dawson47
Estimated H-index: 47
(UniSA: University of South Australia)
Abstract Driver fatigue remains a significant cause of motor-vehicle accidents worldwide. New technologies are increasingly utilised to improve road safety, but there are no effective on-road measures for fatigue. While simulated driving tasks are sensitive, and simple performance tasks have been used in industrial fatigue management systems (FMS) to quantify risk, little is known about the relationship between such measures. Establishing a simple, on-road measure of fatigue, as a fitness-to-dri...
Published on Oct 1, 2007in Sleep
Mark Howard21
Estimated H-index: 21
Melinda L. Jackson19
Estimated H-index: 19
+ 3 AuthorsRobert J. Pierce26
Estimated H-index: 26
ROAD-SAFETY CAMPAIGNS IN AUSTRALIA AND THROUGHOUT THE WORLD AIMED AT REDUCING ALCOHOL-RELATED TRAFFIC DEATHS HAVE INCREASED public awareness of the risks of drinking and driving. Alcohol has serious deleterious effects on driving performance and perceptual judgement. A review of 200 scientific papers found that reaction-time, divided-attention, and psychomotor-function impairments are evident at blood alcohol concentrations (BAC) from 0.1% down to as low as 0.03%.1 Alcohol concentrations above 0...
Cited By70
Published in Research on Aging1.68
Joelle C. Ruthig21
Estimated H-index: 21
(UND: University of North Dakota),
Dmitri Poltavski (UND: University of North Dakota), Thomas V. Petros21
Estimated H-index: 21
(UND: University of North Dakota)
The positivity effect among older adults is a tendency to process more positive and/or less negative emotional stimuli compared to younger adults, with unknown upper age boundaries. Cognitive and e...
Published on Jun 11, 2019in Frontiers in Neurology2.63
Tommaso Banfi1
Estimated H-index: 1
(Sant'Anna School of Advanced Studies),
Erika Coletto (Norwich Research Park)+ 4 AuthorsGastone Ciuti16
Estimated H-index: 16
(Sant'Anna School of Advanced Studies)
Sleep deprivation is an ordinary aspect in the global society and its prevalence is increasing. Chronic and acute sleep deprivation have been linked to diabetes and heart diseases as well as depression and enhanced impulsive behaviours. Surgeons are often exposed to long hour on call and few hours of sleep in the previous days. Nevertheless, few studies have focused their attention on the effects of sleep deprivation on surgeons and more specifically on the effects of sleep deprivation on surgic...
Published on May 1, 2019in Applied Ergonomics2.61
Kyle A. Bernhardt1
Estimated H-index: 1
(UND: University of North Dakota),
Dmitri Poltavski10
Estimated H-index: 10
(UND: University of North Dakota)
+ 5 AuthorsColt Iseminger (UND: University of North Dakota)
Abstract The current study evaluated the validity of commercially available electroencephalography (EEG) cognitive state metrics of workload and engagement in differentially experienced air traffic control (ATC) students. EEG and pupil diameter recordings were collected from 47 ATC students (27 more experienced and 20 less experienced) during a high-fidelity, variable workload approach-control scenario. Scenario workload was manipulated by increasing the number of aircraft released and the prese...
Published on Jan 15, 2019in Frontiers in Human Neuroscience2.87
Greg Rupp , Chris Berka15
Estimated H-index: 15
+ 7 AuthorsThomas D. Marcotte44
Estimated H-index: 44
(UCSD: University of California, San Diego)
The number of older drivers is steadily increasing, and advancing age is associated with a high rate of automobile crashes and fatalities. This can be attributed to a combination of factors including decline in sensory, motor, and cognitive functions due to natural ageing or neurodegenerative diseases such as HIV-Associated Neurocognitive Disorder (HAND). Current clinical assessment methods only modestly predict impaired driving. Thus, there is a need for inexpensive and scalable tools to predic...
Published on Jun 12, 2019in arXiv: Robotics
Ziheng Wang1
Estimated H-index: 1
(UTD: University of Texas at Dallas),
Cong Feng + 1 AuthorsAnn Majewicz Fey
Providing an accurate and efficient assessment of operative difficulty is important for designing robot-assisted teleoperation interfaces that are easy and natural for human operators to use. In this paper, we aim to develop a data-driven approach to numerically characterize the operative difficulty demand of complex teleoperation. In effort to provide an entirely task-independent assessment, we consider using only data collected from the human user including: (1) physiological response, and (2)...
Published on Jan 1, 2019in International Journal of Psychophysiology2.41
Arcady A. Putilov15
Estimated H-index: 15
(RAS: Russian Academy of Sciences),
Olga G. Donskaya9
Estimated H-index: 9
Evgeniy G. Verevkin8
Estimated H-index: 8
Abstract Accurate measurement of objective level of sleepiness can have important implications for experimental and field studies of sleep deprived individuals. We proposed to accurately quantify changes in sleepiness level with single electroencephalographic (EEG) measures obtained from EEG spectra consisting of 16 spectral powers within the frequency interval from 1 to 16 Hz. The EEG signal was recorded every other hour from 19:00 of Friday to 19:00 of Sunday in 48 study participants. The diff...
Published on Jan 1, 2019in International Journal of Psychophysiology2.41
Christopher Mark (UND: University of North Dakota), Dmitri Poltavski10
Estimated H-index: 10
(UND: University of North Dakota)
+ 1 AuthorsAlan R. King (UND: University of North Dakota)
Abstract Introduction Previous research has shown cognitive dysfunction in adults with a history of child abuse. The purpose of the present study was to measure differences that exist in executive functioning skills between individuals who have been abused as children versus those without the history of childhood abuse. Methods The present study recruited 43 students from the University of North Dakota (33 women) between ages 18 and 23 years of age. The participants were administered several pre...
Published on Dec 13, 2018 in ICONIP (International Conference on Neural Information Processing)
Muna Tageldin (Sultan Qaboos University), Talal Al-Mashaikki (Khalifa University)+ 1 AuthorsMostefa Mesbah2
Estimated H-index: 2
(Sultan Qaboos University)
Poor alertness experienced by individuals may lead to serious accidents that impact on people’s health and safety. To prevent such accidents, an efficient automatic alertness states identification is required. Sparse representation-based classification has recently gained a lot of popularity. A classifier from this class typically comprises three stages: dictionary learning, sparse coding and class assignment. Gini index, a recently proposed method, was shown to possess a number of properties th...
Published on Dec 2, 2018 in VRCAI (Virtual Reality Continuum and its Applications in Industry)
Diego Monteiro2
Estimated H-index: 2
(Xi'an Jiaotong-Liverpool University),
Hai-Ning Liang11
Estimated H-index: 11
(Xi'an Jiaotong-Liverpool University),
Nilufar Baghaei (Otago Polytechnic)
Consumer virtual reality (VR) is a relatively new mass technology that needs to be explored further so we can understand how it affects players from a psychophysiological perspective and how it differs from a common display during gameplay. One aspect of VR gameplay that is particularly underexplored when it comes to psychophysiological data is viewing perspective. This research aims to assess and analyse how players' brainwaves correlate to their subjective feelings when playing in first-person...