Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 18 of 18 for “"sleep stages"”.
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Recognition of sleep stages from sensor data
Sleep is an essential activity for humans. It affects our physical and mental health. So monitoring sleep continuously can help detect any changes in sleep patterns that may be caused by sleep disorders or other diseases. For a long term sleep monitoring system, the most important requirement is …
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Automatic Sleep Assessment from Nocturnal Breathing and Its Applications for Contactless Monitoring
The ability to assess sleep at home, capture sleep stages, and detect the occurrence of apnea (without on-body sensors) simply by analyzing the radio waves bouncing off people’s bodies while they sleep is quite powerful. Such a capability would allow for longitudinal data collection in patients’ …
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Sleep and Cardiac Tachyarrhythmia: Results from the Cross-Sectional Sleep Heart Health Study
… Despite the well-known relationship between sleep disorders and general cardiovascular risk, relatively few studies have examined sleep quality and quality at pre-clinical levels in patients with cardiac arrhythmias (CA). Patients with CA have at a greatly elevated risk of stroke, sudden …
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Topic Modeling for Inferring Brain States from Electroencephalography (EEG) Signals
… from EEG signals allows for the management of sleep disorders and brain diseases by providing an insight into the electrophysiological state of the brain. We explore the use of topic modeling – which are popular text processing algorithms – to infer brain states from EEG signals. Latent …
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"Towards Closed-Loop Sleep Monitoring in Parkinson’s Disease: Self-Supervised Learning Strategies for Sleep Stage Classification"
Parkinson’s disease (PD) involves severe sleep disturbances that may accelerate neurodegeneration. Closed-loop deep brain stimulation (DBS) is a promising therapeutic solution but requires accurate, real-time sleep-stage classification from subthalamic nucleus signals, a task where conventional …
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Quantifying Nocturnal Itch And Its Impact On Sleep Using Machine Learning And Radio Signals
… nocturnal scratching and its impact on patients’ sleep quality in an objective, sensitive and privacy preserving way. In this work we collect large nocturnal scratching dataset, consisting of 370 nights of infrared footage, radio-frequency (RF) data, and human annotations of scratching. Using this …
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An electrophysiological examination of intentional and inadvertent sleep onset : the effect of intention on the sleep onset process
… was to examine the effect ofintention on the sleep onset process from an electrophysiological point ofview. To test this, two nap conditions, the Multiple Sleep Latency Test (MSLT) and the Repeated Test of Sustained Wakefulness (RTSW) were used to compare intentional and inadvertent sleep …
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Wireless Sensing with Machine Learning: Through-Wall Vision & Contactless Health Monitoring
… assess their vital signs, learn their sleep and sleep stages, and recognize their emotions. Since wireless sensors traverse walls, our sensors can deliver all of these functions through walls and occlusions. The key challenge in delivering the above contributions is that radio signals …
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Enabling Contactless Sleep Studies at Home using Wireless Signals
Sleep studies help doctors diagnose a variety of sleep-related disorders, such as insomnia and sleep apnea. Most disorders can be managed once they are correctly diagnosed. However, sleep studies usually introduce discomfort and high cost, as patients need to go to hospitals, sleep in unfamiliar …
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A model for cerebral cortical neuron group electric activity and its implications for cerebral function
… of the brain, such as arousal, drowsiness, and sleep stages. Moreover, it is used to detect pathological conditions such as seizures, to calibrate drug action during anesthesia, and to understand cognitive task signatures in healthy and abnormal subjects. Being an aggregate measure of neural …
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Examining the effects of wearable technology and biometric coaching on heart rate variability, health related quality of life, and predictors of heart rate variability in collegiate athletes
… off-season.</p> <p>Objective: To determine if sleep metrics and group assignment between wearable plus coaching (WC) and wearable without coaching (WO) are predictive of HRV in NCAA DI football players. Participants: Collegiate student athletes on NCAA Division I football team. Methods: …
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Learning new words: effects of meaning, memory consolidation, and sleep
… The third question focused on the role of sleep in the consolidation of novel words: which aspects of sleep architecture are associated with lexical integration? Experiment 8 looked at sleep during the night after word learning and sought to clarify the roles sleep spindles and different …
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ON-FARM APPLICATION OF PLF TECHNOLOGIES TO DETECT EARLY BEHAVIOURAL AND PHYSIOLOGICAL INDICATORS OF DISEASE AND WELFARE IN PAIR - HOUSED DAIRY CALVES BEFORE WEANING.
… calves, Study 3 further investigated rest and sleep quality, reported as positive welfare indicators, and to sensor-based approaches for their assessment. A systematic review was conducted on the application of PLF technologies to monitor lying, rest, and sleep in calves. The review highlighted …
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Phenotyping Behavioral Disorders in REM Sleep: Study of Digital Biomarkers of Neurodegeneration
… advancing the understanding and detection of REM Sleep Behavior Disorder (RBD), a recognized prodromal symptom of alpha-synucleinopathies, among which Parkinson's Disease (PD). By integrating computational approaches with physiological insights, this research presents novel tools and methods for …
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An Integrated Software System for EEG/EMG-Based Forward Genetic Screen of Sleep/Wake Abnormalities in ENU-Mutagenized Mice
The executive neural circuitry and chemistry for sleep/wake switching mechanisms have been increasingly revealed in recent years. However, the very fundamental mechanism of sleep regulation remains a mystery, for example, with the question of what is the neural substrate for “sleepiness” still …
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Interfacing with Dreams : Novel Technologies and Protocols for Targeted Dream Incubation
Scientific research into relationships between sleep physiology and waking cognition has progressed dramatically in the past few decades, but research on the basic science, function, and health consequences of dream phenomenology has not. This dissertation describes research into novel devices and …
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Klasifikace spánkových stádii
Cílem této bakalářské práce bylo zpracovat literární rešerši na téma automatické klasifikace spánkových stádií z polysomnografického měření a následně zvolit způsob extrakce příznakových vektorů a kvantitativně ho zhodnotit. V první části se práce zabývá převážně teorií ohledně klasifikace …
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A microanalysis of EMG and EEG changes during the sleep onset period (SOP) : a theoretical investigation with practical applications /
… and EEG state during the process of falling asleep. Sleep stages during sleep onset (SO) have been generally defined with regards to brain wave activity (Recht schaff en & Kales (1968); and more precisely by Hori, Hayashi, & Morikawa (1994)). However, no previous study has attempted to …