AIMC Topic: Sleep

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Data-driven sleep structure deciphering based on cardiorespiratory signals.

Computer methods and programs in biomedicine Apr 23, 2025
BACKGROUND AND OBJECTIVE: Cardiorespiratory signals provide a novel perspective for understanding sleep structure through the physiological mechanism of cardiopulmonary coupling. This mechanism divides the coupling spectrum into high-frequency (HF) a...
Sleep Stages Middle Aged Deep Learning Electroencephalography Polysomnography Electrooculography Signal Processing, Computer-Assisted Sleep Algorithms Adult Humans Female Male
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Detecting arousals and sleep from respiratory inductance plethysmography.

Sleep & breathing = Schlaf & Atmung Apr 11, 2025
PURPOSE: Accurately identifying sleep states (REM, NREM, and Wake) and brief awakenings (arousals) is essential for diagnosing sleep disorders. Polysomnography (PSG) is the gold standard for such assessments but is costly and requires overnight monit...
Algorithms Female Humans Plethysmography Arousal Sleep Stages Middle Aged Deep Learning Sleep Polysomnography Adult Sensitivity and Specificity Male
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Neural models for detection and classification of brain states and transitions.

Communications biology Apr 11, 2025
Exploring natural or pharmacologically induced brain dynamics, such as sleep, wakefulness, or anesthesia, provides rich functional models for studying brain states. These models allow detailed examination of unique spatiotemporal neural activity patt...
Wakefulness Sleep Cerebral Cortex Male Rats Models, Neurological Brain Animals Neural Networks, Computer Algorithms
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CHMMConvScaleNet: a hybrid convolutional neural network and continuous hidden Markov model with multi-scale features for sleep posture detection.

Scientific reports Apr 10, 2025
Sleep posture, a vital aspect of sleep wellness, has become a crucial focus in sleep medicine. Studies show that supine posture can lead to a higher occurrence of obstructive sleep apnea, while lateral posture might reduce it. For bedridden patients,...
Hidden Markov Models Markov Chains Sleep Polysomnography Humans Neural Networks, Computer Female Convolutional Neural Networks Posture Adult Male
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Personalized Health Prediction AI Models Using Transfer Learning and Strategic Overfitting on Wearable Device Data.

Journal of medical systems Apr 9, 2025
The increasing availability of wearable device data provides an opportunity for developing personalized models for health monitoring and condition prediction. Unlike conventional approaches that rely on pooled data from diverse individuals, our study...
Humans Artificial Intelligence Machine Learning Adult Male Exercise Wearable Electronic Devices Precision Medicine Female Young Adult Emotions Sleep
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Continuous real-time detection and management of comprehensive mental states using wireless soft multifunctional bioelectronics.

Biosensors & bioelectronics Mar 17, 2025
Quantitatively measuring human mental states that profoundly affect cognition, behavior, and recovery would revolutionize personalized digital healthcare. Detecting fatigue, stress, and sleep is particularly important due to their interdependence: pe...
Male Wearable Electronic Devices Biosensing Techniques Monitoring, Physiologic Humans Adult Sleep Electroencephalography Fatigue Electrooculography Equipment Design Wireless Technology Heart Rate
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FlyVISTA, an integrated machine learning platform for deep phenotyping of sleep in .

Science advances Mar 12, 2025
There is great interest in using genetically tractable organisms such as to gain insights into the regulation and function of sleep. However, sleep phenotyping in has largely relied on simple measures of locomotor inactivity. Here, we present FlyVI...
Sleep Behavior, Animal Drosophila melanogaster Drosophila Phenotype Animals Deep Learning Machine Learning
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A deep learning-enabled smart garment for accurate and versatile monitoring of sleep conditions in daily life.

Proceedings of the National Academy of Sciences of the United States of America Feb 11, 2025
In wearable smart systems, continuous monitoring and accurate classification of different sleep-related conditions are critical for enhancing sleep quality and preventing sleep-related chronic conditions. However, the requirements for device-skin cou...
Monitoring, Physiologic Sleep Clothing Textiles Male Female Humans Deep Learning Adult Wearable Electronic Devices
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Human sleep position classification using a lightweight model and acceleration data.

Sleep & breathing = Schlaf & Atmung Feb 10, 2025
PURPOSE: This exploratory study introduces a portable, wearable device using a single accelerometer to monitor twelve sleep positions. Targeted for home use, the device aims to assist patients with mild conditions such as gastroesophageal reflux dise...
Sleep Accelerometry Male Deep Learning Humans Wearable Electronic Devices Female Posture Adult
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Unlocking Dreams and Dreamless Sleep: Machine Learning Classification With Optimal EEG Channels.

BioMed research international Feb 10, 2025
Research suggests that dreams play a role in the regulation of emotional processing and memory consolidation; electroencephalography (EEG) is useful for studying them, but manual annotation is time-consuming and prone to bias. This study was aimed at...
Electroencephalography Female Humans Dreams Adult Machine Learning Sleep Male Sleep, REM Algorithms
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