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Clinical Trial Summary

Obstructive sleep apnea (OSA) is prevalent in patients with stroke and has a negative effect on outcomes by predisposing them to recurrent stroke, increasing mortality, and so forth. Therefore, it is extremely important to identify OSA in patients with stroke. Wearable devices can greatly reduce the manpower and material requirements of traditional laboratory-based polysomnography (PSG). With Photoplethysmography (PPG) technology and neural network algorithms, the Belun ring and the sleeping platform not only can detect blood oxygen, and heart rate but also can identify sleep stage and estimate the severity of sleep apnea. In this study, inpatients with acute ischemic stroke in the hospital will proceed with three nights test for recording the parameters of the autonomic nervous system in the acute phase, evaluate whether sleep apnea and the feasibility of the Belun sleep platform. It is important that early recognition of OSA and prompt treatment, which can potentially improve OSA-associated adverse outcomes, as well as understanding the degree of autonomic nervous function impairment for patients with acute ischemic stroke. After smoothing this process, it can help clinicians more accurately comprehend the condition, timing of admission, and discharge.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT05466864
Study type Interventional
Source Taipei Medical University Shuang Ho Hospital
Contact Wen-Te Liu, MD. PhD
Phone +886-222490088
Email b7801077@tmu.edu.tw
Status Recruiting
Phase N/A
Start date May 4, 2022
Completion date May 3, 2024

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