Exploring the potential of a new wearable sleep monitoring device for clinical application

• Validate WPSG in neuro patients and healthy volunteers. • Device accurately captures cerebral activity for sleep staging. • Automated sleep staging aligns with PSG raters’ consensus. • Results demonstrate the feasibility of the clinical application of WPSG. Sleep is critical to health and quality of life, and the gold-standard assessment method for sleep disorders--polysomnography (PSG)--has struggled to become widely used because of its inherent shortcomings, which portable sleep-monitoring devices are expected to improve. This study aims to validate a new EEG-, EOG-, and EMG-based portable sleep-monitoring device against conventional PSG to explore its feasibility for clinical use. Twenty participants completed overnight sleep monitoring using conventional polysomnography and the Wearable Polysomnogram TM (WPSG-I). The similarity of the raw signals recorded by the two devices and the agreement rate of their sleep-staging results were compared. The raw electroencephalogram (EEG) signals recorded by the two devices were highly similar, and the agreement rates between WPSG-I manual sleep staging and automatic sleep staging with conventional PSG manual sleep staging were 95.8 % (kappa = 0.92) and 89.7 % (kappa = 0.80), respectively. The agreement rate of sleep staging results between the two devices was high. The results of this study demonstrate the validity and feasibility of the WPSG-I for sleep research and clinical applications.

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Publication Details

Journal
Biomedical Signal Processing and Control
Published
2024-09-14
DOI
https://doi.org/10.1016/j.bspc.2024.106856
Citations
4
Primary Topic
Sleep and Wakefulness Research
Type
article
Field-Weighted Citation Impact
1.37
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article

Exploring the potential of a new wearable sleep monitoring device for clinical application

Xiaomeng Zhou, Xin Li, LI Zhen-zhong, Rui Li et al.
4 citations
Biomedical Signal Processing and Control
Sleep and Wakefulness Research
1.37
article

Exploring the potential of a new wearable sleep monitoring device for clinical application

Xiaomeng Zhou, Xin Li, LI Zhen-zhong, Rui Li, Qi Liu, Yaling Liu, Hu Liu, Mei Tian, Lijing Jia, Dong Hui, Min Li
article en
4 citations

Abstract

• Validate WPSG in neuro patients and healthy volunteers. • Device accurately captures cerebral activity for sleep staging. • Automated sleep staging aligns with PSG raters’ consensus. • Results demonstrate the feasibility of the clinical application of WPSG. Sleep is critical to health and quality of life, and the gold-standard assessment method for sleep disorders--polysomnography (PSG)--has struggled to become widely used because of its inherent shortcomings, which portable sleep-monitoring devices are expected to improve. This study aims to validate a new EEG-, EOG-, and EMG-based portable sleep-monitoring device against conventional PSG to explore its feasibility for clinical use. Twenty participants completed overnight sleep monitoring using conventional polysomnography and the Wearable Polysomnogram TM (WPSG-I). The similarity of the raw signals recorded by the two devices and the agreement rate of their sleep-staging results were compared. The raw electroencephalogram (EEG) signals recorded by the two devices were highly similar, and the agreement rates between WPSG-I manual sleep staging and automatic sleep staging with conventional PSG manual sleep staging were 95.8 % (kappa = 0.92) and 89.7 % (kappa = 0.80), respectively. The agreement rate of sleep staging results between the two devices was high. The results of this study demonstrate the validity and feasibility of the WPSG-I for sleep research and clinical applications.

Biomedical Signal Processing and ControlVol. 99
Hebei Medical University (CN), Second Hospital of Hebei Medical University (CN), Chengde Medical University (CN)
Openalex Percentile: Top 20%
Sleep and Wakefulness Research
1.37
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