This course was presented in person at World Sleep 2025 in Singapore.

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Session Schedule

Find a specific presentation in the course by navigating to the timestamp indicated below.

0:00:00
Introduction
Cathy Goldstein (United States)

0:02:40
Multi-sensor wearable health trackers: Measurements and outputs
Mathias Baumert (Australia)

0:35:20
Interpreting performance evaluation studies: Choosing the right device for your needs
Ju Lynn Ong (Singapore)

1:16:00
Sleep tracker use in healthy individuals
Kelly Baron (United States)

1:59:00
Question and answer

2:13:40
Sleep tracker use in patients with sleep disorders and other chronic medical conditions
Cathy Goldstein (United States)

2:57:20
Beyond sleep: Leveraging other health applications for wearable trackers
Michael Chee (Singapore)

3:29:15
Question and answer
Cathy Goldstein (United States)

Course Summary:

Persons worldwide track sleep with ubiquitous fitness trackers and smart watches. A large body of research now demonstrates that consumer geared health tracking devices have at least comparable sleep estimation capabilities relative to FDA cleared actigraphy, largely mitigating prior concerns regarding performance.  However, practical guidance on how to effectively utilize wearable sleep tracking in clinical and research programs is lacking. This half-day course will present actionable information on device function, outputs, and performance; device selection to match specific use cases; utilization of wearable sleep tracking in healthy individuals and those with disordered sleep; and the potential for wearables to provide health insights beyond sleep. 

Learning objectives:

Upon completion of this CME activity participants will be able to:
• List the major sensing modalities embedded in wearable health trackers and describe the characteristics of each and how it contributes to assessing sleep
• Utilize a standardized system for evaluating sleep tracking and be able to articulate how to evaluate a device performance evaluation to choose an appropriate tracker for a given need
• Interpret wearable data on sleep in persons with relatively normal sleep patterns, understanding the strengths and limitations of these devices
• Interpret wearable data on sleep in persons at risk of, or with existing sleep or medical conditions, understanding the value of longitudinal tracking but also recognizing device limitations
• Utilize both existing and emerging metrics related to mental well-being, cardiovascular health, and physical activity provided by wearables