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.
Authors
- Xiaomeng Zhou
- Xin Li
- LI Zhen-zhong
- Rui Li (ORCID: https://orcid.org/0000-0001-5953-2341)
- Qi Liu (ORCID: https://orcid.org/0000-0001-5172-0989)
- Yaling Liu (ORCID: https://orcid.org/0000-0002-6221-6021)
- Hu Liu (ORCID: https://orcid.org/0000-0003-3840-8135)
- Mei Tian (ORCID: https://orcid.org/0009-0003-3603-1992)
- Lijing Jia (ORCID: https://orcid.org/0000-0001-6329-0269)
- Dong Hui (ORCID: https://orcid.org/0000-0002-0331-1651)
- Min Li (ORCID: https://orcid.org/0000-0002-0072-5912)
Institutions
- Hebei Medical University (CN)
- Second Hospital of Hebei Medical University (CN)
- Chengde Medical University (CN)
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