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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…
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Keywords:
sleep stage;
neural networks;
scoring two;
convolutional neural ... See more keywords
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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…
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Keywords:
medicine;
sleep stage;
performance;
automatic sleep ... See more keywords
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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…
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Keywords:
sleep stage;
sleep quality;
automatic sleep;
stage ... See more keywords
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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.…
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Keywords:
sleep stage;
network algorithm;
neural network;
stage ... See more keywords