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LIBS
2016
Proceedings of the Eighth Wireless of the Students, by the Students, and for the Students Workshop on - S3
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The practicality of LIBS is shown through one real world scenario of a sleep quality monitoring system. ...
Bioelectrical signals representing electrical activities of human brain, eyes, and facial muscles have found widespread use both as important inputs for critical medical issues and as an invisible communication ...
[15] , and eye masks [8] have been built to capture the biosignals with a fewer number of electrodes. ...
doi:10.1145/2987354.2987363
fatcat:puysxhwvufczxos5gmqelxxj6a
A Lightweight and Inexpensive In-ear Sensing System For Automatic Whole-night Sleep Stage Monitoring
2016
Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM - SenSys '16
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While LIBS can enable a wide class of low-cost selfcare, human computer interaction, and health monitoring applications, we demonstrate its medical potential by developing an autonomous whole-night sleep ...
Our evaluation results show that LIBS can monitor biosignals representing brain activities, eye movements, and muscle contractions with excellent fidelity such that it can be used for sleep stage classification ...
Addressing such limitations, various head-worn devices such as eye masks [25] , headbands [50] , and headphones [18] were developed to capture biosignals with a smaller number of electrodes. ...
doi:10.1145/2994551.2994562
dblp:conf/sensys/NguyenARKHV16
fatcat:qco7iaeuonayzkpx54nha7r63u
A Short-Time Insomnia Detection System Based on Sleep EOG with RCMSE Analysis
2020
IEEE Access
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Significance: In the future, we can integrate the proposed system with an EOG eye mask and portable PSG system for sleep quality assessment or insomnia screening in the home environment. ...
In this study, a short-time insomnia detection system based on single-channel sleep EOG with refined composite multiscale entropy (RCMSE) analysis was proposed, and the performance of the proposed system ...
In future work, we can integrate the proposed system with an EOG eye mask or portable PSG system for sleep quality assessment or insomnia screening in the home environment, as home-based measurements are ...
doi:10.1109/access.2020.2986397
fatcat:udn6bzqnyvaqfo2le5oiihyj7a
EOGNET: A Novel Deep Learning Model for Sleep Stage Classification Based on Single-Channel EOG Signal
2021
Frontiers in Neuroscience
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The proposed method was validated on 101 full-night sleep data from two open-access databases, the montreal archive of sleep studies and Sleep-EDF, achieving an overall accuracy of 81.2 and 76.3%, respectively ...
In addition, comparisons with six state-of-the-art methods further demonstrate the effectiveness of the proposed approach. Overall, this study provides a new avenue for sleep monitoring. ...
Thus EOG-based sleep staging approaches can promisingly provide a solution for long-term and home-based sleep monitoring. ...
doi:10.3389/fnins.2021.573194
fatcat:vmxyypxwpzapzpqepkc4eid2me
PhyMask: Robust Sensing of Brain Activity and Physiological Signals During Sleep with an All-textile Eye Mask
[article]
2021
arXiv
pre-print
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We propose PhyMask, an all-textile sleep monitoring solution that is practical and comfortable for continuous use and that acquires all signals of interest to sleep solely using comfortable textile sensors ...
Clinical-grade wearable sleep monitoring is a challenging problem since it requires concurrently monitoring brain activity, eye movement, muscle activity, cardio-respiratory features and gross body movements ...
Kuo et al. use graphene-based electrodes in a sleep mask, for tracking eye movement signal during sleep [58] . ...
arXiv:2106.07645v2
fatcat:x43o4ki635c47dp3sgkgyijdvu
Performance of a New Portable Wireless Sleep Monitor
2017
Journal of Clinical Sleep Medicine (JCSM)
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PSG was scored for sleep variables manually, and monitor records were scored by a validated automatic system (MSS) (MSS-Prodigy). ...
Four additional electrodes were attached to monitor eye movements and muscle activity, and to serve as reference (mastoid). ...
ACKNOWLEDGM ENTS The authors thank the sleep technologists at the sleep disorders center for assistance in collecting the data and Dan Plewes and Mark Younes at YRT Ltd for assistance with data analysis ...
doi:10.5664/jcsm.6456
pmid:27784419
pmcid:PMC5263080
fatcat:bh5qgnra6zckjethygrzrb33h4
Wearable and Flexible Textile Electrodes for Biopotential Signal Monitoring: A review
2019
Electronics
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as electrodes, and an investigation of their application in the acquisition of critical biopotential signals for routine monitoring, assessment, and exploitation of cardiac (electrocardiography, ECG), ...
neural (electroencephalography, EEG), muscular (electromyography, EMG), and ocular (electrooculography, EOG) functions. ...
Silver/polyamide compound textiles have also been employed to develop a wearable eye mask for sleep monitoring and automatic sleep staging (Figure 7c ) [120] . ...
doi:10.3390/electronics8050479
fatcat:3w5e7wsx5jhkdm243can7xt5yy
Mixed Neural Network Approach for Temporal Sleep Stage Classification
2018
IEEE transactions on neural systems and rehabilitation engineering
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Electroencephalography (EEG)-based characterizations of sleep stage progression contribute the diagnosis and monitoring of the many pathologies of sleep. ...
recording of the electroocuolgram (EOG). ...
PMM is an NIHR Senior ...
doi:10.1109/tnsre.2017.2733220
pmid:28767373
fatcat:ic4otx6tmngyzpax5uvgq3awyi
A Multi-class Automatic Sleep Staging Method Based on Long Short-term Memory Network Using Single-lead Electrocardiogram Signals
2019
IEEE Access
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To overcome the disadvantage of clinical manual sleep staging, a convenient, economical, and efficient multi-class automatic sleep staging method is proposed based on long short-term memory network (LSTM ...
The proposed method, in this paper, is promising for low-cost, efficient, and convenient sleep staging in home care monitoring. ...
In this study, a novel method based on LSTM network was proposed for automatic sleep staging in home care monitoring for healthy people. ...
doi:10.1109/access.2019.2924980
fatcat:kul2uz4e7jdyfd2batf6c5aozi
Recommendations for performance assessment of automatic sleep staging algorithms
2014
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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A number of automatic sleep scoring algorithms have been published in the last few years. These can potentially help save time and reduce costs in sleep monitoring. ...
We use two different polysomnography databases with a simple sleep staging algorithm to demonstrate the usage of all recommendations and presentation of performance results. ...
INTRODUCTION Human sleep is broadly classified into two distinct oscillatory phases based on the eye movements during sleep, known as Rapid Eye Movement (REM) and Non-Rapid Eye Movement (NREM). ...
doi:10.1109/embc.2014.6944758
pmid:25571126
dblp:conf/embc/ImtiazR14a
fatcat:dpjhhalzgngarg65dh7cv536kq
Interpretation of sleep studies for patients with sleep-disordered breathing: What the anesthesiologist needs to know
2017
Canadian Journal of Anesthesia
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In addition, we briefly review the indications for sleep studies, including the types of laboratory-based studies, as well as the role and limitations of portable monitors (level II-IV studies) and examples ...
apnea (OSA), the most common type of SDB, is associated with an increased ...
Grocott, Editor-in-Chief, Canadian Journal of Anesthesia. ...
doi:10.1007/s12630-017-0988-8
pmid:29086358
fatcat:d42fzfafqvdqpaofjfywgrlu3i
Investigation of sleep disorders
2005
Journal of Paediatrics and Child Health
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It is most commonly used to diagnose obstructive sleep apnoea and to monitor nocturnal non-invasive ventilation requirements of children. ...
It involves the continuous and simultaneous recording of multiple physiological parameters evaluating sleep and respiration. ...
WHAT INFORMATION DOES A SLEEP STUDY PROVIDE? Sleep is made up of two sleep states defined as rapid eye movement (REM) and non-REM (NREM) sleep. ...
doi:10.1111/j.1440-1754.2005.00528.x
pmid:15670217
fatcat:uf5tpy7ovzdshpb7cakfrge2bu
Detecting REM sleep from the finger: an automatic REM sleep algorithm based on peripheral arterial tone (PAT) and actigraphy
2006
Physiological Measurement
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The growing number of ambulatory devices designed for cost-effective home-based diagnostic sleep recordings necessitates the development of a reliable automatic REM sleep detection algorithm that is not ...
This paper presents an automatic REM detection algorithm based on the peripheral arterial tone (PAT) signal and actigraphy which are recorded with an ambulatory wrist-worn device (Watch-PAT100). ...
al 2002 prompted us to develop an automatic REM scoring algorithm based on these features and on actigraphic sleep-wake detection. ...
doi:10.1088/0967-3334/28/2/002
pmid:17237585
fatcat:prhghacpjzadxcbv2vl2bhgrx4
Sleep architecture in unrestrained rhesus monkeys (Macaca mulatta) synchronized to 24-hour light-dark cycles
2008
Sleep
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The present study demonstrates the feasibility of long-term, unrestrained sleep monitoring in nonhuman primates using fully-implantable biotelemetry. ...
These results demonstrate that the unrestrained rhesus monkey is an excellent biomedical model for human sleep. ...
ACknoWleDGMenTS This work was supported by NASA grant NNJ04HF44G and by the CNPRC NIH base grant RR00169. We thank Mr. Peter Takeuchi for his invaluable technical assistance. ...
pmid:18788649
pmcid:PMC2542979
fatcat:p6cr2olczjfshpuyvkai43ggbi
Sleep apnea syndromes: overview and diagnostic approach
1994
The Mount Sinai journal of medicine
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The pathogenesis of both seems to involve periodic reduction in respiratory drive, although obstructive apneas may also involve an anatomic abnormality of the upper airway. ...
sleep. ...
Sleep staging consists of analysis of an elec- troencephalogram (EEG), with additional criteria based on EMG and electrooculogram (EOG) sig- nals. ...
pmid:8022435
fatcat:vjebajechvfuddcmbtcv74w6ai
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