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NCT05636930

Accuracy Assessment of Sleep Monitoring Technology

Status unknown Last updated 5 December 2022
What this trial tests

trial testing Test the accuracy of the wearable device in Wearable Devices in 50 participants. Status unknown.

Timeline
1 October 2022
Primary endpoint
30 December 2022
30 December 2022

Quick facts

Lead sponsorShanshan Lu
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment50
Start date1 October 2022
Primary completion30 December 2022
Estimated completion30 December 2022
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Shanshan Lu

Who can join

Adults 18 to 60, any sex, with Wearable Devices. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

As a necessary process of life, sleep is an important link for the body to recover, integrate and consolidate memory. However, the fast pace of life in modern society and people's bad living habits are easy to cause sleep disorders. Sleep disorders are often the main factors that induce or aggravate cardiovascular and cerebrovascular diseases. Sleep staging is an important basis for sleep quality assessment and related disease diagnosis. At present, electroencephalography (EEG) has become the gold standard for judging sleep stages. However, this kind of method requires long-term contact of multiple electrodes with the human body, which is easy to affect the natural sleep of the subjects, so it is not suitable for sleep monitoring in home environment. Studies have shown that sleep is related to the regulation of autonomic nervous system, and heart rate variability (HRV) in sleep also shows periodic changes similar to brain waves. Smartwatch/bracelet can continuously monitor the user's pulse wave and acceleration data comfortably and without feeling. HRV features can be extracted using pulse wave data, and then sleep staging can be realized based on the correlation between HRV and brain waves, and sleep quality can be evaluated. Therefore, healthy sleep research aims to use smart devices to achieve sleep monitoring in the home environment and improve people's sleep quality

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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