Validation of a Handy Sleep Monitoring Device: UMindSleep in Patients With Obstructive Sleep Apnea

Validation

This is a validation study recruiting subjects with and without obstructive sleep apnea. All subjects will undergo a nocturnal standard polysomnography and UMindSleep assessment. Sleep parameters, such as sleep stages and apnea UMindSleep software. Correlation in each parameter between PSG and events in polysomnography (PSG) will be scored according to the AASM criteria while the sleep parameters will be automatically scored by the UMindSleep will be analyzed to determine the magnitude of agreement between UMindSleep and PSG.

Obstructive sleep apnea (OSA) is a common sleep disorder in the general population with a prevalence ranging from 4-30%. OSA has been shown to be a significant risk factor of many cardiovascular diseases and mental disorders. However, OSA is a neglected problem in the general population. In addition, there is a significant unmet need for the treatment of OSA. One of the major reason for the under-diagnosis and under-treatment of OSA in the general population is a lack of reliable screening tool in detecting OSA. In this regard, several devices, such as ApneaLink, have been developed for the screening of OSA. However, as this kind of device only employs time in bed rather than actual sleep time to calculate the apnea index or desaturation index, they tend to underestimate the severity of sleep apnea. In this regard, it is timely need to develop and validate new device that can integrate the actual sleep time and apnea or desaturation events for the precise calculation of sleep apnea index or desaturation index. The UMindSleep is a handy and wearable device to acquire EEG, heart rate, saturation, snoring and temperature. The signal will be uploaded to a smartphone through Bluetooth. By integrating these signals, the system can automatically analyze several key parameters by the algorithms, such as sleep stages and desaturation events.

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