AIMC Topic: Sleep

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Validation Study on Automated Sleep Stage Scoring Using a Deep Learning Algorithm.

Medicina (Kaunas, Lithuania) Jun 9, 2022
Polysomnography is manually scored by sleep experts. However, manual scoring is a time-consuming and labor-intensive task. The goal of this study was to verify the accuracy of automated sleep-stage scoring based on a deep learning algorithm compared...
Reproducibility of Results Adult Algorithms Female Sleep Observer Variation Sleep Stages Male Deep Learning Humans
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The Masking Impact of Intra-Artifacts in EEG on Deep Learning-Based Sleep Staging Systems: A Comparative Study.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 2, 2022
Elimination of intra-artifacts in EEG has been overlooked in most of the existing sleep staging systems, especially in deep learning-based approaches. Whether intra-artifacts, originated from the eye movement, chin muscle firing, or heart beating, et...
Electroencephalography Signal Processing, Computer-Assisted Deep Learning Sleep Humans China Artifacts Algorithms
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A Deep Learning Method Approach for Sleep Stage Classification with EEG Spectrogram.

International journal of environmental research and public health May 23, 2022
The classification of sleep stages is an important process. However, this process is time-consuming, subjective, and error-prone. Many automated classification methods use electroencephalogram (EEG) signals for classification. These methods do not cl...
Electroencephalography Sleep Neural Networks, Computer Sleep Stages Deep Learning
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Perceptions of and Experiences with Consumer Sleep Technologies That Use Artificial Intelligence.

Sensors (Basel, Switzerland) May 10, 2022
This study aims to assess the perspectives and usability of different consumer sleep technologies (CSTs) that leverage artificial intelligence (AI). We answer the following research questions: (1) what are user perceptions and ideations of CSTs (phas...
Technology Qualitative Research Humans Artificial Intelligence Sleep Focus Groups
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Sleep staging classification based on a new parallel fusion method of multiple sources signals.

Physiological measurement Apr 28, 2022
In the field of medical informatics, sleep staging is a challenging and time consuming task undertaken by sleep experts. The conventional method for sleep staging is to analyze Polysomnograms (PSGs) recorded in a sleep lab, but the sleep monitoring w...
Electrooculography Sleep Stages Electroencephalography Sleep Humans Algorithms Support Vector Machine
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Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective.

Sleep & breathing = Schlaf & Atmung Mar 9, 2022
BACKGROUND: The past few years have seen a rapid emergence of artificial intelligence (AI)-enabled technology in the field of sleep medicine. AI refers to the capability of computer systems to perform tasks conventionally considered to require human ...
Algorithms Sleep Sleep Wake Disorders Artificial Intelligence Humans Machine Learning
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Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features.

Artificial intelligence in medicine Mar 9, 2022
This work proposed a novel method for automatic sleep stage classification based on the time, frequency, and fractional Fourier transform (FRFT) domain features extracted from a single-channel electroencephalogram (EEG). Bidirectional long short-term...
Neural Networks, Computer Electroencephalography Sleep Fourier Analysis Sleep Stages
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A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels.

IEEE journal of biomedical and health informatics Mar 7, 2022
In this paper, we introduce a new variation of the Convolutional Neural Network Inception block, called Sinc, for sleep stage classification in premature newborn babies using electroencephalogram (EEG). In practice, there are many medical centres whe...
Sleep Stages Electroencephalography Sleep Algorithms Infant, Newborn Humans Neural Networks, Computer
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Convolutional neural network is a good technique for sleep staging based on HRV: A comparative analysis.

Neuroscience letters Feb 25, 2022
The fluctuation of heart rate is regulated by autonomic nervous system. In human sleep, the autonomic nervous system plays a leading role. Therefore, we can use heart-rate variability (HRV) to stage the sleep process. Based on two independent public ...
Sleep Stages Sleep, REM Heart Rate Sleep Humans Neural Networks, Computer
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A Clinical Decision Support System for Sleep Staging Tasks With Explanations From Artificial Intelligence: User-Centered Design and Evaluation Study.

Journal of medical Internet research Jan 19, 2022
BACKGROUND: Despite the unprecedented performance of deep learning algorithms in clinical domains, full reviews of algorithmic predictions by human experts remain mandatory. Under these circumstances, artificial intelligence (AI) models are primarily...
Reproducibility of Results Decision Support Systems, Clinical Humans Artificial Intelligence Sleep User-Centered Design
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