Validation of Sleep Monitoring Algorithm Based on Smart Watches

National Taiwan University Hospital35 enrolled

Overview

In recent years, wearable devices are booming to enable not only the health monitoring but also the sleep efficiency assessment. To validate the algorithm of sleep staging and efficiency, this study will use a dedicated prototype to acquire photoplethysmogram (PPG), body movements, skin temperature, and galvanic skin response by recruiting 35 subjects. PSG will be used as gold standard for statistical analysi.

Sleep efficiency has a great impact on the performance of work and learning during the day. If persons lack of sleep for a long time, they might be prone to memory loss and emotional instability. Traditionally, polysomnography (PSG) has been proved as golden results to assess the sleep efficiency. However, to accomplish the assessment, subjects are asked to sleep in a certified sleep laboratory or a sleep centers for nights. Under the supervision of nurses, subjects are put many adhesive electrodes on the body and connect wires to PSG, which causes discomfort. In recent years, wearable devices are booming to enable not only the health monitoring but also the sleep efficiency assessment. To validate the algorithm of sleep staging and efficiency, this study will use a dedicated prototype to acquire photoplethysmogram (PPG), body movements, skin temperature, and galvanic skin response by recruiting 35 subjects. PSG will be used as gold standard for statistical analysi.

Study Type

INTERVENTIONAL

Allocation

Purpose

DIAGNOSTIC

Masking

NONE

Enrollment

Conditions

Obstructive Sleep Apnea Syndrome

Interventions

smart watches(wearable devices)DEVICE

Participants will be asked to wear two smart watches simultaneously. The first smart watch is a dedicated prototype for validating algorithm developed by MediaTek. The second smart watch is Basis Peak. These watches are going to acquire PPG, body movements, skin temperature, and skin conductance.

Eligibility

Sex: ALLMin age: 20 YearsMax age: 65 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: 1. Forty male or female subjects are recruited from those visiting Department of Medicine for health check up 2. Subjects aged 20 to 65 Exclusion Criteria: 1. Refuse to participate 2. Arrhythmia 3. Active infection 4. Active neurologic event 5. Shift worker 6. Substance abuse 7. Fitted with implantable medical electronics, such as cardiac pacemakers and defibrillators

Locations (1)

National Taiwan University Hospital

Taipei, Taiwan

Outcomes

Primary Outcomes

sleep stages derived from smartwatch

Comparing sleep stages detected by a smartwatch(hh:mm) with the sleep stages of an overnight PSG(N1 (%), N2 (%), N3 (%), REM(%), Arousal index (/h) to validate the effectiveness of the smartwatch.

Time frame: 12 months

Secondary Outcomes

sleep efficiency derived from smartwatch

Comparing sleep efficiency(%) detected by a smartwatch with the sleep efficiency(%) from an overnight PSG to validate the effectiveness of the smartwatch.

Time frame: 12 months

Data from ClinicalTrials.gov

This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.