Drowsiness, Fatigue and Poor Sleep’s Causes and Detection: A Comprehensive Study
暂无分享,去创建一个
Malik M. Naeem Mannan | M. Ahmad Kamran | M. A. Kamran | M. M. N. Mannan | Myung Yung Jeong | M. Jeong
[1] Faramarz GHARAGOZLOU,et al. Detecting Driver Mental Fatigue Based on EEG Alpha Power Changes during Simulated Driving , 2015, Iranian journal of public health.
[2] Chun-Hsiang Chuang,et al. Brain Electrodynamic and Hemodynamic Signatures Against Fatigue During Driving , 2018, Front. Neurosci..
[3] Nida Itrat Abbasi,et al. A novel real-time driving fatigue detection system based on wireless dry EEG , 2018, Cognitive Neurodynamics.
[4] Mari Carmen Domingo,et al. Integration of Body Sensor Networks and Vehicular Ad-hoc Networks for Traffic Safety , 2016, Sensors.
[5] W B Verwey,et al. Preventing drowsiness accidents by an alertness maintenance device. , 1999, Accident; analysis and prevention.
[6] Gang Li,et al. Estimation of Eye Closure Degree Using EEG Sensors and Its Application in Driver Drowsiness Detection , 2014, Sensors.
[7] Matthew C. Walker,et al. Dopamine agonist responsive periodic head movements in sleep - an unusual adult-onset parasomnia , 2006 .
[8] Hong Wang,et al. Graph analysis of functional brain network topology using minimum spanning tree in driver drowsiness , 2018, Cognitive Neurodynamics.
[9] Sangtae Ahn,et al. Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data , 2016, Front. Hum. Neurosci..
[10] J. Slater,et al. A definition of drowsiness: one purpose for sleep? , 2008, Medical hypotheses.
[11] R. Anushya,et al. ACCIDENT PREVENTION IN VEHICLE WITH EFECTIVE RESCUE OPERATION , 2016 .
[12] Lanlan Chen,et al. Automatic detection of alertness/drowsiness from physiological signals using wavelet-based nonlinear features and machine learning , 2015, Expert Syst. Appl..
[13] Edraki Mitra,et al. Comparison of the Effects of Attachment Training for Mothers on the Behavioral Responses of Premature Infants: A Randomized Clinical Trial , 2015 .
[14] Frida Marina Fischer,et al. Shift work and sex are variants across Karolinska Sleep Questionnaire and the application of linking analysis as a step forward using Item Response Theory , 2018, Chronobiology international.
[15] Natasha M. Maurits,et al. Effects of motor fatigue on human brain activity, an fMRI study , 2007, NeuroImage.
[16] Manolya Kavakli,et al. Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review , 2018, IEEE Sensors Journal.
[17] Radek Martinek,et al. Comparative analysis of the discriminative capacity of EEG, two ECG-derived and respiratory signals in automatic sleep staging , 2017 .
[18] Ranjana K Mehta. Stunted PFC activity during neuromuscular control under stress with obesity , 2015, European Journal of Applied Physiology.
[19] Michael Schrauf,et al. EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions , 2011, Clinical Neurophysiology.
[20] Chengcheng Hua,et al. Assessment of driver drowsiness using electroencephalogram signals based on multiple functional brain networks. , 2018, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[21] Tzyy-Ping Jung,et al. Spatiotemporal Sparse Bayesian Learning With Applications to Compressed Sensing of Multichannel Physiological Signals , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[22] Filippo Sorbello,et al. A real-time non-intrusive FPGA-based drowsiness detection system , 2011, J. Ambient Intell. Humaniz. Comput..
[23] Kenneth Sundaraj,et al. Detecting Driver Drowsiness Based on Sensors: A Review , 2012, Sensors.
[24] John E. Marsh,et al. Prefrontal Cortex Oxygenation Evoked by Convergence Load Under Conflicting Stimulus-to-Accommodation and Stimulus-to-Vergence Eye-Movements Measured by NIRS , 2018, Front. Hum. Neurosci..
[25] Chin-Teng Lin,et al. A Real-Time Wireless Brain–Computer Interface System for Drowsiness Detection , 2010, IEEE Transactions on Biomedical Circuits and Systems.
[26] K. Anderson,et al. Rhythmic movement disorder (head banging) in an adult during rapid eye movement sleep , 2006, Movement disorders : official journal of the Movement Disorder Society.
[27] Atsuo Murata,et al. Proposal of a Method to Predict Subjective Rating on Drowsiness Using Physiological and Behavioral Measures , 2016 .
[28] Tao Liu,et al. Positive correlation between drowsiness and prefrontal activation during a simulated speed-control driving task , 2014, Neuroreport.
[29] V. Calhoun,et al. EEG Signatures of Dynamic Functional Network Connectivity States , 2017, Brain Topography.
[30] F. H. Lopes da Silva,et al. A study of the brain's resting state based on alpha band power, heart rate and fMRI , 2008, NeuroImage.
[31] Makii Muthalib,et al. Effects of transcranial direct current stimulation of the motor cortex on prefrontal cortex activation during a neuromuscular fatigue task: an fNIRS study. , 2013, Advances in experimental medicine and biology.
[32] Kenneth Sundaraj,et al. A physiological measures-based method for detecting inattention in drivers using machine learning approach , 2015 .
[33] Olivia K. Faull,et al. Physiological Noise in Brainstem fMRI , 2013, Front. Hum. Neurosci..
[34] Rui Ma,et al. Driving behavior recognition using EEG data from a simulated car-following experiment. , 2017, Accident; analysis and prevention.
[35] Gang Li,et al. A Context-Aware EEG Headset System for Early Detection of Driver Drowsiness , 2015, Sensors.
[36] Dean Cvetkovic,et al. Comparison between human awake, meditation and drowsiness EEG activities based on directed transfer function and MVDR coherence methods , 2015, Medical & Biological Engineering & Computing.
[37] R. Christopher,et al. Applications of real-time fMRI , 2008 .
[38] Kang Ryoung Park,et al. Vision-based method for detecting driver drowsiness and distraction in driver monitoring system , 2011 .
[39] Huilin Zhu,et al. Human cortical neural correlates of visual fatigue during binocular depth perception: An fNIRS study , 2017, PloS one.
[40] Esko Toppila,et al. Feasibility of force platform based roadside drowsiness screening - a pilot study. , 2014, Accident; analysis and prevention.
[41] Frédéric Senny,et al. Midsagittal Jaw Movement Analysis for the Scoring of Sleep Apneas and Hypopneas , 2008, IEEE Transactions on Biomedical Engineering.
[42] Nak-Tak Jeong,et al. Drowsy behavior detection based on driving information , 2016, International Journal of Automotive Technology.
[43] Ranjana K Mehta,et al. Age-specific neural strategies to maintain motor performance after an acute social stress bout , 2017, Experimental Brain Research.
[44] H. Laufs,et al. Decoding Wakefulness Levels from Typical fMRI Resting-State Data Reveals Reliable Drifts between Wakefulness and Sleep , 2014, Neuron.
[45] Simon R. Arridge,et al. Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset , 2018, NeuroImage.
[46] Russell A. Poldrack,et al. Functional imaging of sleep vertex sharp transients , 2011, Clinical Neurophysiology.
[47] Seong-Whan Lee,et al. Spatio-temporal dynamics of multimodal EEG-fNIRS signals in the loss and recovery of consciousness under sedation using midazolam and propofol , 2017, PloS one.
[48] Chaoyang Chen,et al. Determination of optimal electroencephalography recording locations for detecting drowsy driving , 2018 .
[49] Muhammad Ahmad Kamran,et al. Hybrid EEG—Eye Tracker: Automatic Identification and Removal of Eye Movement and Blink Artifacts from Electroencephalographic Signal , 2016, Sensors.
[50] Myung Yung Jeong,et al. Optimal hemodynamic response model for functional near-infrared spectroscopy , 2015, Front. Behav. Neurosci..
[51] Oğuzhan Timuş,et al. k-NN-based classification of sleep apnea types using ECG , 2017 .
[52] H. Kaba,et al. Experimental study on the relationship between cardiac arrhythmias and sleep states by ambulatory ecg‐EEC monitoring , 1986, Clinical cardiology.
[53] C. Schmidt,et al. Human brain patterns underlying vigilant attention: impact of sleep debt, circadian phase and attentional engagement , 2018, Scientific Reports.
[54] P Naitoh,et al. EOG and delta rhythmicity in human sleep EEG. , 1972, Psychophysiology.
[55] Jianliang Min,et al. Ensemble classifier for driver's fatigue detection based on a single EEG channel , 2018, IET Intelligent Transport Systems.
[56] Irina Filip,et al. Public health burden of sleep disorders: underreported problem , 2017, Journal of Public Health.
[57] Frédéric Senny,et al. Midsagittal Jaw Movements as a Sleep/Wake Marker , 2009, IEEE Transactions on Biomedical Engineering.
[58] Keum-Shik Hong,et al. Passive BCI based on drowsiness detection: an fNIRS study. , 2015, Biomedical optics express.
[59] Yvonne Delevoye-Turrell,et al. Brain mechanisms that underlie music interventions in the exercise domain. , 2018, Progress in brain research.
[60] Mervyn V. M. Yeo,et al. Can SVM be used for automatic EEG detection of drowsiness during car driving , 2009 .
[61] S. R. Robinson,et al. The effects of physical vibration on heart rate variability as a measure of drowsiness , 2018, Ergonomics.
[62] Wan-Young Chung,et al. Driver fatigue and drowsiness monitoring system with embedded electrocardiogram sensor on steering wheel , 2014 .
[63] Maree Barnes,et al. Mood disorders are highly prevalent in patients investigated with a multiple sleep latency test , 2018, Sleep and Breathing.
[64] Mohammed Imamul Hassan Bhuiyan,et al. Sleep stage classification using single-channel EOG , 2018, Comput. Biol. Medicine.
[65] M. Fukunaga,et al. Low frequency BOLD fluctuations during resting wakefulness and light sleep: A simultaneous EEG‐fMRI study , 2008, Human brain mapping.
[66] Lingguo Bu,et al. Effects of poor sleep quality on brain functional connectivity revealed by wavelet-based coherence analysis using NIRS methods in elderly subjects , 2018, Neuroscience Letters.
[67] Tzyy-Ping Jung,et al. EEG-based prediction of driver's cognitive performance by deep convolutional neural network , 2016, Signal Process. Image Commun..
[68] Hikmat Ullah Khan,et al. A Survey on State-of-the-Art Drowsiness Detection Techniques , 2019, IEEE Access.
[69] Mobyen Uddin Ahmed,et al. Automatic driver sleepiness detection using EEG, EOG and contextual information , 2019, Expert Syst. Appl..
[70] Tarek R. Sheltami,et al. Designing an integrated driver assistance system using image sensors , 2012, J. Intell. Manuf..
[71] Yuvaraj Krishnamoorthy,et al. Construct Validation and Reliability Assessment of Tamil Version of Epworth Sleepiness Scale to Evaluate Daytime Sleepiness among Adolescents in Rural Puducherry, South India , 2019, Journal of neurosciences in rural practice.
[72] Pilar Tejero,et al. Driving on the motorway: the effect of alternating speed on driver's activation level and mental effort , 2002, Ergonomics.
[73] Jae Gwan Kim,et al. Utilization of a combined EEG/NIRS system to predict driver drowsiness , 2017, Scientific Reports.
[74] Pierre Gagnon,et al. Repetitive head movements during REM sleep , 1985, Biological Psychiatry.
[75] Myung Yung Jeong,et al. Cortical Signal Analysis and Advances in Functional Near-Infrared Spectroscopy Signal: A Review , 2016, Front. Hum. Neurosci..
[76] R Broughton,et al. Sensitivity of the stanford sleepiness scale to the effects of cumulative partial sleep deprivation and recovery oversleeping. , 1981, Sleep.
[77] B. T. Thomas Yeo,et al. Co-activated yet disconnected—Neural correlates of eye closures when trying to stay awake , 2015, NeuroImage.
[78] Scott J Peltier,et al. Dynamic filtering improves attentional state prediction with fNIRS. , 2016, Biomedical optics express.
[79] P. Caffier,et al. The spontaneous eye-blink as sleepiness indicator in patients with obstructive sleep apnoea syndrome-a pilot study. , 2005, Sleep medicine.
[80] Philippe Peigneux,et al. Transcranial Direct Current Stimulation Does Not Counteract Cognitive Fatigue, but Induces Sleepiness and an Inter-Hemispheric Shift in Brain Oxygenation , 2018, Front. Psychol..
[81] Hanli Liu,et al. Exploring brain functional connectivity in rest and sleep states: a fNIRS study , 2018, Scientific Reports.
[82] Ranjana K. Mehta,et al. The effect of cognitive fatigue on prefrontal cortex correlates of neuromuscular fatigue in older women , 2015, Journal of NeuroEngineering and Rehabilitation.
[83] Q. Regestein,et al. SINGLE CASE STUDY: A HEAD MOVEMENT DISORDER OCCURRING IN DREAMING SLEEP , 1977, The Journal of nervous and mental disease.
[84] Ning-Han Liu,et al. Improving Driver Alertness through Music Selection Using a Mobile EEG to Detect Brainwaves , 2013, Sensors.
[85] Kimihiko Nakano,et al. Effect of drowsiness on mechanical arm admittance and driving performances , 2017 .
[86] C Raymond Bingham,et al. Potential distractions and unsafe driving behaviors among drivers of 1- to 12-year-old children. , 2014, Academic pediatrics.
[87] L M Makarov,et al. [Cardiac rhythm in sleeping healthy adolescents as recorded by holter ECG monitoring]. , 1999, Terapevticheskii arkhiv.
[88] Stéphane Bonnet,et al. Eye blink characterization from frontal EEG electrodes using source separation and pattern recognition algorithms , 2014, Biomed. Signal Process. Control..
[89] Pablo Laguna,et al. Drowsiness detection using heart rate variability , 2016, Medical & Biological Engineering & Computing.
[90] Ravi S. Menon,et al. Spatial and temporal limits in cognitive neuroimaging with fMRI , 1999, Trends in Cognitive Sciences.
[91] Jing Z. Liu,et al. Human brain activation during sustained and intermittent submaximal fatigue muscle contractions: an FMRI study. , 2003, Journal of neurophysiology.
[92] Ranjana K. Mehta,et al. Functional Connectivity During Handgrip Motor Fatigue in Older Adults Is Obesity and Sex-Specific , 2018, Front. Hum. Neurosci..
[93] V Gabersek,et al. Study of the respiratory frequency during sleep in relation to the amplitude of the R wave of the ECG. , 1970, Electroencephalography and clinical neurophysiology.
[94] Gemma Pastor Cerezuela,et al. On the concept and measurement of driver drowsiness, fatigue and inattention: Implications for countermeasures , 2006 .
[95] Carrie R. H. Innes,et al. Losing the struggle to stay awake: Divergent thalamic and cortical activity during microsleeps , 2014, Human brain mapping.
[96] Tzyy-Ping Jung,et al. EEG-Based Subject- and Session-independent Drowsiness Detection: An Unsupervised Approach , 2008, EURASIP J. Adv. Signal Process..
[97] D. Spence,et al. Psychometric properties of the Epworth sleepiness scale in Ethiopian university students , 2019, Health and Quality of Life Outcomes.
[98] Sergey Borisov,et al. Large-scale brain functional modularity is reflected in slow electroencephalographic rhythms across the human non-rapid eye movement sleep cycle , 2013, NeuroImage.
[99] Catie Chang,et al. Time–frequency dynamics of resting-state brain connectivity measured with fMRI , 2010, NeuroImage.
[100] Michael L. Prairie,et al. 0613 Multimodal Hypersomnolence Assessment Substantially Increases Objective Identification of Hypersomnolence in Patients Referred for Multiple Sleep Latency Testing , 2018 .
[101] Kenneth Sundaraj,et al. Physiological signal based detection of driver hypovigilance using higher order spectra , 2015, Expert Syst. Appl..
[102] Myung Yung Jeong,et al. Identification and Removal of Physiological Artifacts From Electroencephalogram Signals: A Review , 2018, IEEE Access.
[103] Christian Guilleminault,et al. Multiple sleep latency test in narcolepsy type 1 and narcolepsy type 2: A 5‐year follow‐up study , 2018, Journal of sleep research.
[104] J. A. Frost,et al. Conceptual Processing during the Conscious Resting State: A Functional MRI Study , 1999, Journal of Cognitive Neuroscience.
[105] G. Barbato,et al. Effects of sleep deprivation on spontaneous eye blink rate and alpha EEG power , 1995, Biological Psychiatry.
[106] Muhammad Ahmad Kamran,et al. Effect of EOG Signal Filtering on the Removal of Ocular Artifacts and EEG-Based Brain-Computer Interface: A Comprehensive Study , 2018, Complex..
[107] Pablo Balenzuela,et al. On wakefulness fluctuations as a source of BOLD functional connectivity dynamics , 2017, Scientific Reports.
[108] Sule Yücelbas,et al. A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification , 2016, Neural Computing and Applications.
[109] Muhammad A. Kamran,et al. Hybrid ICA—Regression: Automatic Identification and Removal of Ocular Artifacts from Electroencephalographic Signals , 2016, Front. Hum. Neurosci..
[110] T. Åkerstedt,et al. Normative data on the diurnal pattern of the Karolinska Sleepiness Scale ratings and its relation to age, sex, work, stress, sleep quality and sickness absence/illness in a large sample of daytime workers , 2017, Journal of sleep research.
[111] Ippeita Dan,et al. Neural basis for reduced executive performance with hypoxic exercise , 2018, NeuroImage.
[112] Seung-Hyun Kong,et al. Driver Status Monitoring Systems for Smart Vehicles Using Physiological Sensors: A safety enhancement system from automobile manufacturers , 2016, IEEE Signal Processing Magazine.
[113] D Minors,et al. The Subjective Meaning of Good Sleep, An Intraindividual Approach Using the Karolinska Sleep Diary , 1994, Perceptual and motor skills.
[114] H. B. Riley,et al. Drowsy Driving Detection by EEG Analysis Using Wavelet Transform and K-means Clustering , 2014, FNC/MobiSPC.
[115] Gang Li,et al. Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier , 2013, Sensors.
[116] Weiqi Wang,et al. Functional connectivity analysis using fNIRS in healthy subjects during prolonged simulated driving , 2017, Neuroscience Letters.
[117] Angela R. Harrivel,et al. Monitoring attentional state with fNIRS , 2013, Front. Hum. Neurosci..
[118] Y Ruckebusch,et al. Jaw movements and rumen motility as criteria for measurement of deep sleep in cattle. , 1974, American journal of veterinary research.
[119] Gregory G. Brown,et al. Increased cerebral response during a divided attention task following sleep deprivation , 2001, Journal of sleep research.
[120] Yen-Chen Liu,et al. Development of an EOG-Based Automatic Sleep-Monitoring Eye Mask , 2015, IEEE Transactions on Instrumentation and Measurement.
[121] P. Svensson,et al. Does restriction of mandibular movements during sleep influence jaw-muscle activity? , 2012, Journal of oral rehabilitation.
[122] S. Rapoport,et al. Functional Brain Imaging in the Resting State and during Activation in Alzheimer's Disease: Implications for Disease Mechanisms Involving Oxidative Phosphorylation , 1999, Annals of the New York Academy of Sciences.
[123] Ting Li,et al. Longtime driving induced cerebral hemodynamic elevation and behavior degradation as assessed by functional near‐infrared spectroscopy and a voluntary attention test , 2018, Journal of biophotonics.
[124] Li Li,et al. The impact of passive hyperthermia on human attention networks: An fMRI study , 2013, Behavioural Brain Research.
[125] M. Chung,et al. Electroencephalographic study of drowsiness in simulated driving with sleep deprivation , 2005 .