Validation of Software for Assessment of Sleep Apnea From Data Acquired by a Wearable Smartwatch

Fitbit LLC303 enrolled

Overview

This clinical validation study aims to evaluate the utility of Fitbit's Sleep Apnea Alert software for minimally invasive monitoring of sleep apnea events to alert users of their risk of sleep apnea. The Sleep Apnea Alert software analyses data from a Fitbit commercially available wrist photoplethysmogram (PPG) device. The Sleep Apnea Alert software is an investigational software as medical device (SaMD) and is designed to retrospectively process data and flag users who have physiological signals consistent with an apnea-hypopnea index (AHI) of 15 or greater. This clinical validation study will be used to validate Fitbit's PPG-based sleep apnea algorithm. The outputs of the Fitbit Sleep Apnea Alert software will not be available to study participants, as the scope of this study is to gather validation data only and does not include testing product usability components.

Study Type

OBSERVATIONAL

Enrollment

303

Conditions

Sleep Apnea

Interventions

Simultaneous assessment of sleep apnea by polysomnogram and wearable deviceDIAGNOSTIC_TEST

Characterization of sleep apnea by lab-based polysomnogram

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: * Capable of giving informed consent * Comfortable reading the provided written study instructions in English (and/or local language) and using a smartphone in English (and/or local language). * Have medical insurance either in the form of private insurance or a national health program. Exclusion Criteria: * No implanted cardiac devices * Not pregnant. Pregnancy status will be confirmed per patient report of medical history, i.e., patients will be asked if they are pregnant or may be pregnant, and date of last menstrual cycle. * No medical conditions which might lead to consistently low levels of perfusion in the vasculature at the wrist

Locations (6)

Jasper Summit Research

Jasper, Alabama, United States

Peninsula Sleep Center

Burlingame, California, United States

Sleep Center Orange County

Irvine, California, United States

Neurotrials Inc

Atlanta, Georgia, United States

SleepMed Inc

Columbia, South Carolina, United States

St Vincent's University Hospital

Dublin, Ireland

Outcomes

Primary Outcomes

Comparison of PSG-assessed AHI with multi-night estimate derived from wearable device.

Percent agreement between subjects classified as Apnea Hypopnea Index (AHI)≥15 or \<15 as determined by a single night of lab based polysomnogram , versus the corresponding estimate (averaged over 7 nights) from the wearable device. \[This primary outcome data will also be expressed as per-subject sensitivity and specificity of the wearable device to correctly identify subjects with AHI≥15 and AHI\<15 respectively\]

Time frame: Nightly basis averaged over 7 nights.

Secondary Outcomes

Single night comparison between PSG and wearable device data on a per-subject basis

Percent agreement between subjects classified as Apnea Hypopnea Index (AHI)≥15 or \<15 as determined by a single night of lab based polysomnogram , versus the corresponding estimate on the same night as PSG from the wearable device. \[This primary outcome data will also be expressed as per-subject sensitivity and specificity of the wearable device to correctly identify subjects with AHI≥15 and AHI\<15 respectively\]

Time frame: 1 night

Single night comparison between PSG and wearable device data on a per-epoch basis

Percent agreement on a per one-minute epoch basis for the presence of sleep apnea between the polysomnogram and the corresponding simultaneous estimate from the wearable device .

Time frame: 1 night