Articles with "stage scoring" as a keyword



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Convolutional neural networks for sleep stage scoring on a two-channel EEG signal

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Published in 2020 at "Soft Computing"

DOI: 10.1007/s00500-019-04174-1

Abstract: Sleeping problems have become one of the major diseases all over the world. To tackle this issue, the basic tool used by specialists is the polysomnogram, which is a collection of different signals recorded during… read more here.

Keywords: sleep stage; neural networks; scoring two; convolutional neural ... See more keywords
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Investigating the use of uni-directional and bi-directional long short-term memory models for automatic sleep stage scoring

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Published in 2020 at "Informatics in Medicine Unlocked"

DOI: 10.1016/j.imu.2020.100370

Abstract: Abstract In this paper, a study is conducted to investigate the use of a Long Short-Term Memory (LSTM) learning system in automatic sleep stage scoring. The developed algorithm will automatically learn to classify sleep stages… read more here.

Keywords: medicine; sleep stage; performance; automatic sleep ... See more keywords
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Automatic sleep-stage scoring based on photoplethysmographic signals.

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Published in 2020 at "Physiological measurement"

DOI: 10.1088/1361-6579/ab921d

Abstract: OBJECTIVE Sleep-stage scoring is important for sleep-quality evaluation and the diagnosis of related diseases. In this study, an automatic sleep-stage scoring method using photoplethysmographic (PPG) signals was proposed. APPROACH To construct the classification model, we… read more here.

Keywords: sleep stage; sleep quality; automatic sleep; stage ... See more keywords
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0440 Validation Study of Neural Network Algorithm for Automated Sleep Stage Scoring: StageNet

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Published in 2020 at "Sleep"

DOI: 10.1093/sleep/zsaa056.437

Abstract: Polysomnography (level 1) is an important test for evaluating sleep status or disorder. In general, measured raw data of polysomnography is manually scored by sleep expert. However, manual scoring is a time-consuming and labor-intensive work.… read more here.

Keywords: sleep stage; network algorithm; neural network; stage ... See more keywords