2021
DOI: 10.48550/arxiv.2107.08442
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Sleep Staging Based on Multi Scale Dual Attention Network

Huafeng Wang,
Chonggang Lu,
Qi Zhang
et al.

Abstract: Sleep staging plays an important role on the diagnosis of sleep disorders. In general, experts classify sleep stages manually based on polysomnography (PSG), which is quite time-consuming. Meanwhile, the acquisition process of multiple signals is much complex, which can affect the subject's sleep.

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Cited by 2 publications
(3 citation statements)
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“…To account for the imbalanced nature of the datasets, the macro average F1-score (MF1) was also used, which is defined in Equation (8), where š¹1 š‘– is per-class F1-Score for class š‘–.…”
Section: Overall Evaluationmentioning
confidence: 99%
See 1 more Smart Citation
“…To account for the imbalanced nature of the datasets, the macro average F1-score (MF1) was also used, which is defined in Equation (8), where š¹1 š‘– is per-class F1-Score for class š‘–.…”
Section: Overall Evaluationmentioning
confidence: 99%
“…Furthermore, PSG, which involves recording multiple electrophysiological signals, is expensive, complicated, and impractical for longitudinal sleep monitoring in home settings. PSG can also cause physical discomfort and mental stress, leading to poor sleep quality and disruption of regular sleep patterns [8]. Consequently, there is a growing interest in developing portable, wireless, and wearable devices equipped with low-cost sensors attached to a single location, such as the Fpz channel in the frontal region of the brain, to acquire single-channel EEG signals, facilitating comfortable and convenient sleep monitoring [9].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, PSG, which involves recording multiple electrophysiological signals, is expensive, complicated, and impractical for longitudinal sleep monitoring in home settings. PSG can also cause physical discomfort and mental stress, leading to poor sleep quality and disruption of regular sleep patterns ( Wang et al, 2021 ). Consequently, there is a growing interest in developing portable, wireless, and wearable devices equipped with low-cost sensors attached to a single location, such as the Fpz channel in the frontal region of the brain, to acquire single-channel EEG signals, facilitating comfortable and convenient sleep monitoring ( Gao et al, 2022 ).…”
Section: Introductionmentioning
confidence: 99%