Session overview on various devices claiming to measure sleep.
Important concepts:
Differences between polysomnography and other sleep measurement tools.
Advantages and limitations of different sleep measurement tools.
Populations or conditions where each tool may be beneficial.
Approaches to interpret the accuracy of personal sleep monitors.
PSG provides detailed data about sleep stages and timings:
Awake vs. Asleep: Identifies state in 30-second intervals.
Time in Bed: Duration from lights off to lights on.
Sleep Onset: First instance of falling asleep.
Sleep Latency: Time between lights off and sleep onset.
Sleep Offset: Time individuals wake up (which may vary from lights on).
REM Onset Time: Time at which first REM period occurs.
Wake After Sleep Onset (WASO): Periods of wakefulness after initially falling asleep.
Sleep Efficiency: Calculated as Total Sleep Time / Time in Bed, factoring in both sleep latency and WASO.
Personal sleep monitors offer a less detailed view compared to PSG:
Common metrics:
Time in Bed: Total duration they spend in bed.
Total Sleep Time: Period spent asleep.
Sleep Onset Latency: Time taken to fall asleep.
Wake After Sleep Onset: Instances of wakefulness after falling asleep.
Sleep Efficiency: Based on total sleep time versus time in bed.
Additional metrics may include awakening counts or stages of sleep (light, deep, REM).
Many devices lack validation leading to questionable accuracy:
Tips for evaluating devices:
Check for clinical or scientific advisory information on their website.
Look for links to published validation research.
Understanding validation study metrics:
Sensitivity: Correct identification of sleep (e.g., 96.4% in example).
Specificity: Correct identification of wake (e.g., 66.6% in example).
Accuracy: Overall correct identification of sleep and wake combined (e.g., 92.7% in example).
Non-invasive sleep monitoring method used historically for research and clinical settings.
Composition and functionality:
Uses a triaxial accelerometer to measure movement.
Movement indicates wakefulness; lack of movement indicates sleep.
Limitations include misclassification of awake time as sleep if a person remains still.
Benefits and applications:
Useful in insomnia, circadian rhythm disorders, measuring sleep in large populations, and capturing data over long periods.
Not effective for diagnosing sleep apnea.
Actigraphy often overestimates total sleep time and sleep efficiency.
Summary from a meta-analysis:
Overestimates total sleep time by about 18 minutes.
Underestimates sleep latency and WASO.
Sensitivity is generally high (around 95%), but specificity tends to be less than 50%.
Advantages:
Unobtrusive; can be worn like a watch.
Records data over multiple nights at home, offering realistic sleep patterns.
Cost-effective compared to PSG.
Disadvantages:
Less effective in measuring sleep latency or daytime naps.
Requires multiple nights of data to enhance accuracy.
Cannot determine sleep stages.
Factors influencing consumer adoption:
Increased aesthetic appeal compared to clinical devices.
Offer feedback, goal-setting features, and data synchronization with smartphones.
Categories of sleep trackers:
Wearables: Watches, rings, headbands.
Nearables: Devices on or under mattresses, or pillows.
Arables: Devices near the bed or phone apps.
Validation study results indicate wearables perform well in detecting sleep compared to PSG and actigraphy.
Subjective assessment tool for sleep patterns, effective when paired with actigraphy.
Details captured typically include:
Duration of sleep, perceived quality, time taken to fall asleep.
Completed ideally in the morning.
Advantages of sleep diaries:
Insight into individual perception of sleep, low cost, and simplicity.
Limitations:
Susceptible to bias; unable to measure sleep stages; burdensome for some users.
Alternatives to PSG for sleep measurement via actigraphy and personal sleep trackers.
Some personal sleep monitors validated, showing acceptable measures of sleep detection but limitations in sleep stage differentiation.
Sleep diaries enhance monitoring accuracy and capture subjective sleep quality.
Monitoring tools need sensitivity, specificity, accuracy assessments, and validation studies to ensure reliability.