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Unobtrusive Sleep Monitoring Using Movement Activity by Video Analysis

Yuan-Kai Wang, Hong-Yu Chen, Jian-Ru Chen
2019 Electronics  
This paper proposes a robust method for sleep pose analysis with human joints model.  ...  The challenge of video surveillance for sleep behavior analysis is that we have to tackle bad image illumination issue and large pose variations during sleeping.  ...  The authors gratefully acknowledge the support of Chia-Mo Lin and Hou-Chang Chiu for their valuable comments in obstructive sleep apnea.  ... 
doi:10.3390/electronics8070812 fatcat:ditgc4n5ordxzpskqrhppuso6q

Off-line consolidation of motor sequence learning results in greater integration within a cortico-striatal functional network

Karen Debas, Julie Carrier, Marc Barakat, Guillaume Marrelec, Pierre Bellec, Abdallah Hadj Tahar, Avi Karni, Leslie G. Ungerleider, Habib Benali, Julien Doyon
2014 NeuroImage  
Importantly, a similar pattern of results was also observed using a data-driven approach; the increase in integration being specific to a cortico-striatal network, but not to other known functional networks  ...  These findings reveal, for the first time, a new signature of motor sequence consolidation: a greater between-regions interaction within the cortico-striatal system.  ...  The authors are grateful to Vo An Nguyen, Estelle Breton and Laurence Girouard for their help in data acquisition.  ... 
doi:10.1016/j.neuroimage.2014.05.022 pmid:24844748 pmcid:PMC6644011 fatcat:7r4xbalvwfhkvoyofcgic64yyu

Self-generated whisker movements drive state-dependent sensory input to developing barrel cortex [article]

James C Dooley, Ryan M Glanz, Greta Sokoloff, Mark S Blumberg
2020 bioRxiv   pre-print
Over half of the observed cortical activity was attributable to whisker movements, especially to the myoclonic twitches that occur during active (REM) sleep.  ...  These results highlight the role of sensory feedback in driving early cortical activity and underscore the critical importance of monitoring sleep-wake states for accurate assessment of the contributions  ...  Thus, perhaps inattention to behavioral state leads to failures to detect movement-driven activity [8] .  ... 
doi:10.1101/2020.01.21.914259 fatcat:ntvjen53kfbffbvgsjx2tf7m34

Neurophysiological Aspects of REM Sleep Behavior Disorder (RBD): A Narrative Review

Michela Figorilli, Giuseppe Lanza, Patrizia Congiu, Rosamaria Lecca, Elisa Casaglia, Maria P. Mogavero, Monica Puligheddu, Raffaele Ferri
2021 Brain Sciences  
REM sleep without atonia (RSWA) is the polysomnographic (PSG) hallmark of rapid eye movement (REM) sleep behavior disorder (RBD), a feature essential for the diagnosis of this condition.  ...  RSWA is then described in terms of its polysomnographic features, and the methods (visual and automatic) currently available for its scoring and quantification are exposed and discussed.  ...  [80] developed a data-driven method for the identification of movements in chin and tibialis anterior EMG using a probabilistic model of atonia in healthy controls and EMG areas that were not likely  ... 
doi:10.3390/brainsci11121588 pmid:34942893 pmcid:PMC8699681 fatcat:lvx6hwal6jfchavetgxonzo2am

Sleep spindles are resilient to extensive white matter deterioration

Erlan Sanchez, Caroline Arbour, Héjar El-Khatib, Karine Marcotte, Hélène Blais, Andrée-Ann Baril, Christophe Bedetti, Maxime Descoteaux, Jean-Marc Lina, Danielle Gilbert, Julie Carrier, Nadia Gosselin
2020 Brain Communications  
This study highlights the resilience of sleep spindles to the deterioration of all white matter tracts critical to their existence, as they conserve normal density during non-rapid eye movement sleep with  ...  Sleep spindles are an essential part of non-rapid eye movement sleep, notably involved in sleep consolidation, cognition, learning, and memory.  ...  Acknowledgements For their support in data acquisition, the authors wish to thank Catherine Duclos, Solenne Van der Maren, Caroline D'Aragon, Julien Lauzier, Carollyn Hurst and André Cyr.  ... 
doi:10.1093/braincomms/fcaa071 pmid:32954326 pmcid:PMC7472897 fatcat:lqbaic7u5fglpn2e5mljkcc4xi

AN INTELLIGENT CO-DRIVER SURVEILLANCE SYSTEM

Leon Rothkrantz, Madalina Toma, Mirela Popa
2017 Acta Polytechnica CTU Proceedings  
These actions were used to develop probabilistic models of the driving behaviour. A prototype of a warning system has been developed and tested in the car simulator.  ...  In a similar way Giusti [17] detected driver sleep-attacks by using acquired data from the steering wheel.  ...  Kinect proved to be very succesfull with limb detection and person tracking.  ... 
doi:10.14311/app.2017.12.0083 fatcat:izmccxby2jelfdnxji4spdem5a

White Matter Tract Pathology in Pediatric Anoxic Brain Injury from Drowning

M. Ishaque, J.H. Manning, M.D. Woolsey, C.G. Franklin, F.S. Salinas, P.T. Fox
2017 American Journal of Neuroradiology  
CONCLUSIONS: These data particularly implicate the deep white matter, predominantly the posterior limbs of the internal capsule, as targets of damage in pediatric anoxic brain injury with drowning.  ...  MATERIALS AND METHODS: Whole-brain T1-weighted and diffusion-weighted MR imaging datasets were acquired in 11 children with chronic anoxic brain injury and 11 age-and sex-matched neurotypical controls  ...  Beckmann, PhD (University of Oxford, Donders Institute), for his data-analysis suggestions.  ... 
doi:10.3174/ajnr.a5097 pmid:28209580 pmcid:PMC5389897 fatcat:xrmwv3dcpjfvlpfwsr5shplszq

Bio-signal based control in assistive robots: a survey

Ericka Janet Rechy-Ramirez, Huosheng Hu
2015 Digital Communications and Networks  
The main aim of this paper is to describe the techniques used for: i) collecting EMG and EEG signals and diving these signals into segments (data acquisition and data segmentation stage), ii) emphasizing  ...  the important data and removing redundant data from the EMG and EEG segments (feature extraction stage), and iii) identifying categories from the relevant data obtained in the previous stage (classification  ...  employed HMM in scoring of human sleep. They use three HMM states, one corresponding to wake state, other representing deep sleep, and the other one standing for REM sleep.  ... 
doi:10.1016/j.dcan.2015.02.004 fatcat:bkgdv7lywbgtnnoxbwdxtvxpom

Predictability of arousal in mouse slow wave sleep by accelerometer data

Gustavo Zampier dos Santos Lima, Sergio Roberto Lopes, Thiago Lima Prado, Bruno Lobao-Soares, George C. do Nascimento, John Fontenele-Araujo, Gilberto Corso, Giorgio F Gilestro
2017 PLoS ONE  
Moreover, subtle body movement patterns, which may characterize arousals both in human and in animals, are usually not detectable by eye perception and are not in general present in sleep studies.  ...  Noteworthy, our findings suggest an unique dynamical behavior pattern preceding an arousal of AR data during sleep.  ...  As previously shown [17] , AR can express breathing movement, heart beating, tremors or limb movement.  ... 
doi:10.1371/journal.pone.0176761 pmid:28545123 pmcid:PMC5436652 fatcat:ww5zoo5z6beg5ll246fjb3f3hy

A survey of advances in vision-based human motion capture and analysis

Thomas B. Moeslund, Adrian Hilton, Volker Krüger
2006 Computer Vision and Image Understanding  
A number of significant research advances are identified together with novel methodologies for automatic initialization, tracking, pose estimation and movement recognition.  ...  This survey reviews recent trends in video based human capture and analysis, as well as discussing open problems for future research to achieve automatic visual analysis of human movement.  ...  The known correspondence between markers and limbs together with reconstructed 3D marker trajectories during movement are then used to accurately estimate limb lengths.  ... 
doi:10.1016/j.cviu.2006.08.002 fatcat:7vsbfnczrzgsbdbbmlzvfprh54

Cortico-Cortical White Matter Motor Pathway Microstructure Is Related to Psychomotor Retardation in Major Depressive Disorder

Tobias Bracht, Andrea Federspiel, Susanne Schnell, Helge Horn, Oliver Höfle, Roland Wiest, Thomas Dierks, Werner Strik, Thomas J. Müller, Sebastian Walther, Gabriel Alejandro de Erausquin
2012 PLoS ONE  
Altered white matter organisation of rACC-pre-SMA and dlPFC-pre-SMA pathways may contribute to movement initiation in MDD.  ...  Therefore, 21 patients with MDD and 21 healthy controls matched for age, gender, education and body mass index underwent diffusion tensor imaging and 24 hour actigraphy (measure of the activity level)  ...  Participants provided sleep log information. Activity was analyzed exclusively during wake time.  ... 
doi:10.1371/journal.pone.0052238 pmid:23284950 pmcid:PMC3527384 fatcat:in4vblpfzzdi7bv6bi7etew3mu

A Study On Deep Learning And Machine Learning Techniques On Detection Of Parkinson's Disease

P. Mounika, S. Govinda Rao, S. Tummala, S. Kosaraju, P. Bobba, S. Singh
2021 E3S Web of Conferences  
In order to measure the average performance most accurately, we compared deep learning and machine learning methods.  ...  Parkinson's disease (PD) is a sophisticated anxiety malady that impairs movement. Symptoms emerge gradually, initiating with a slight tremor in only one hand occasionally.  ...  Early detection of Parkinson' unwellness is important for speed the disease' course. Several data-driven methods are developed over the years to boost the identification of Parkinson' disease.  ... 
doi:10.1051/e3sconf/202130901008 fatcat:6hynz3p4gbfphe5exxogcwfaka

Proceedings of the Sixth Deep Brain Stimulation Think Tank Modulation of Brain Networks and Application of Advanced Neuroimaging, Neurophysiology, and Optogenetics

Adolfo Ramirez-Zamora, James Giordano, Edward S. Boyden, Viviana Gradinaru, Aysegul Gunduz, Philip A. Starr, Sameer A. Sheth, Cameron C. McIntyre, Michael D. Fox, Jerrold Vitek, Vinata Vedam-Mai, Umer Akbar (+22 others)
2019 Frontiers in Neuroscience  
Each section of this overview provides insight about the understanding of neuromodulation for specific disease and discusses current challenges and future directions.  ...  The annual deep brain stimulation (DBS) Think Tank aims to create an opportunity for a multidisciplinary discussion in the field of neuromodulation to examine developments, opportunities and challenges  ...  ACKNOWLEDGMENTS MO acknowledges the support of Tyler's Hope for a Dystonia Cure and the Parkinson's Foundation Center of Excellence.  ... 
doi:10.3389/fnins.2019.00936 pmid:31572109 pmcid:PMC6751331 fatcat:hqoewqybk5gopp4a4vyovhpbkq

In search of objective components for sleep quality indexing in normal sleep

Roman Rosipal, Achim Lewandowski, Georg Dorffner
2013 Biological Psychology  
the probabilistic sleep model (PSM) describing the microstructure of sleep.  ...  First, a factor analysis model was applied to the large number of daytime measures of sleep quality in order to detect their latent structure.  ...  P19857 'Multi-sensor sleep modeling based on contextual data fusion', by the Slovak Research and Development Agency under the contract no. APVV-0096-10 and by the VEGA 1/0503/13 grant.  ... 
doi:10.1016/j.biopsycho.2013.05.014 pmid:23751915 pmcid:PMC3749381 fatcat:g6wv52digbebjpnxgsm6t7j5o4

A lack of consistent brain alterations in insomnia disorder: An activation likelihood estimation meta-analysis

Masoud Tahmasian, Khadijeh Noori, Fateme Samea, Mojtaba Zarei, Kai Spiegelhalder, Simon B. Eickhoff, Eus Van Someren, Habibolah Khazaie, Claudia R. Eickhoff
2018 Sleep Medicine Reviews  
We extracted peak coordinates from these studies and tested for convergence using the activation likelihood estimation method.  ...  Using this method, we found no significant convergent evidence for combination of structural atrophy and functional disturbances across previous studies (p = 0.914).  ...  time of less than 7 h over the recent 2 w based on sleep diaries; obstructive sleep apnea; moderate to severe periodic limb movement during sleep; circadian rhythm sleep disorder;  ... 
doi:10.1016/j.smrv.2018.07.004 pmid:30093361 pmcid:PMC7965842 fatcat:jfj5ldudffcttfdgtaisijk2wi
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