AIMC Topic: Sleep

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Automatic scoring of drug-induced sleep endoscopy for obstructive sleep apnea using deep learning.

Sleep medicine Dec 20, 2022
BACKGROUND: Treatment of obstructive sleep apnea is crucial for long term health and reduced economic burden. For those considered for surgery, drug-induced sleep endoscopy (DISE) is a method to characterize location and pattern of sleep-related uppe...
Sleep Airway Obstruction Oropharynx Deep Learning Sleep Apnea, Obstructive Endoscopy Humans
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Fast Sleep Stage Classification Using Cascaded Support Vector Machines with Single-Channel EEG Signals.

Sensors (Basel, Switzerland) Dec 16, 2022
Long-term sleep stage monitoring is very important for the diagnosis and treatment of insomnia. With the development of wearable electroencephalogram (EEG) devices, we developed a fast and accurate sleep stage classification method in this study with...
Electroencephalography Signal Processing, Computer-Assisted Support Vector Machine Sleep Stages Sleep
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Sleep-like unsupervised replay reduces catastrophic forgetting in artificial neural networks.

Nature communications Dec 15, 2022
Artificial neural networks are known to suffer from catastrophic forgetting: when learning multiple tasks sequentially, they perform well on the most recent task at the expense of previously learned tasks. In the brain, sleep is known to play an impo...
Neural Networks, Computer Brain Neurons Sleep Learning
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Obstructive Sleep Apnea Detection Scheme Based on Manually Generated Features and Parallel Heterogeneous Deep Learning Model Under IoMT.

IEEE journal of biomedical and health informatics Dec 7, 2022
Obstructive sleep apnea (OSA) syndrome is a common sleep disorder and a key cause of cardiovascular and cerebrovascular diseases that seriously affect the lives and health of people. The development of Internet of Medical Things (IoMT) has enabled th...
Humans Deep Learning Sleep Internet of Things Sleep Apnea, Obstructive Electrocardiography
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Compact Wideband Double-Slot Microstrip Feed Engraved TEM Horn Strip Antennas on a Multilayer Substrate Board for in Bed Resting Body Positions Determination Based on Artificial Intelligence.

Sensors (Basel, Switzerland) Dec 6, 2022
In this paper, a horn-shaped strip antenna exponentially tapered carved on a multilayer dielectric substrate for an indoor body position tracking system is proposed. The performance of the proposed antenna was verified by testing it as a tracking sta...
Rest Artificial Intelligence Neural Networks, Computer Sleep Posture
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Sleep Staging Framework with Physiologically Harmonized Sub-Networks.

Methods (San Diego, Calif.) Nov 24, 2022
Sleep screening is an important tool for both healthcare and neuroscientific research. Automatic sleep scoring is an alternative to the time-consuming gold-standard manual scoring procedure. Recently there have seen promising results on automatic sta...
Humans Sleep Sleep Stages Neural Networks, Computer Electroencephalography
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Staging study of single-channel sleep EEG signals based on data augmentation.

Frontiers in public health Nov 23, 2022
INTRODUCTION: Accurate sleep staging is an essential basis for sleep quality assessment and plays an important role in sleep quality research. However, the occupancy of different sleep stages is unbalanced throughout the sleep process, which makes th...
Sleep Neural Networks, Computer Minority Groups
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Pediatric Automatic Sleep Staging: A Comparative Study of State-of-the-Art Deep Learning Methods.

IEEE transactions on bio-medical engineering Nov 21, 2022
BACKGROUND: Despite the tremendous prog- ress recently made towards automatic sleep staging in adults, it is currently unknown if the most advanced algorithms generalize to the pediatric population, which displays distinctive characteristics in overn...
Adult Humans Child Polysomnography Deep Learning Sleep Apnea, Obstructive Sleep Stages Sleep
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Sleep prevents catastrophic forgetting in spiking neural networks by forming a joint synaptic weight representation.

PLoS computational biology Nov 18, 2022
Artificial neural networks overwrite previously learned tasks when trained sequentially, a phenomenon known as catastrophic forgetting. In contrast, the brain learns continuously, and typically learns best when new training is interleaved with period...
Sleep Brain Learning Neural Networks, Computer
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Depth-Camera-Based Under-Blanket Sleep Posture Classification Using Anatomical Landmark-Guided Deep Learning Model.

International journal of environmental research and public health Oct 18, 2022
Emerging sleep health technologies will have an impact on monitoring patients with sleep disorders. This study proposes a new deep learning model architecture that improves the under-blanket sleep posture classification accuracy by leveraging the ana...
Humans Sleep Wake Disorders Posture Sleep Deep Learning
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