A standardized framework for testing the performance of sleep-tracking technology: Step-by-step guidelines and open-source code.
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DOI: 10.1093/sleep/zsaa170
Abstract: Sleep-tracking devices, particularly within the consumer sleep technology (CST) space, are increasingly used in both research and clinical settings, providing new opportunities for large-scale data collection in highly ecological conditions. Due to the fast pace… read more here.
Keywords: performance sleep; step; standardized framework; sleep tracking ... See more keywords
254 Validation of a Non-Wearable Sleep Tracking Device in Healthy Adults Under Normal and Restricted Sleep Conditions
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DOI: 10.1093/sleep/zsab072.253
Abstract: Polysomnography (PSG) is the gold standard for measuring sleep, but this method is cumbersome, costly, and sometimes does not reflect naturalistic sleep patterns. Leading technology companies have developed non-wearable sleep tracking devices that have attracted… read more here.
Keywords: sleep tracking; restricted sleep; wearable sleep; non wearable ... See more keywords
1116 Naturalistic Sleep Tracking in a Longitudinal Cohort: How Long Is Long Enough?
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DOI: 10.1093/sleep/zsae067.01116
Abstract: Objective sleep tracking in health research, often via polysomnography or actigraphy, typically involves a small number of nights per person. Given the nightly variability of sleep duration, it remains unclear the extent to which relatively… read more here.
Keywords: duration; normality; research; sleep ... See more keywords
0439 Combining Wearables with Nearables: Using a Multi-Device Machine Learning Approach Improves Sleep Tracking at Home
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DOI: 10.1093/sleep/zsaf090.0439
Abstract: Wearables have expanded access to sleep data, but proprietary algorithms are inaccurate and legacy actigraphy algorithms are outdated. Furthermore, legacy algorithms were trained on nighttime sleep, and only identify 50.3% of daytime sleep. This presents… read more here.
Keywords: approach; machine learning; multi device; daytime sleep ... See more keywords
Performance of Four Commercial Wearable Sleep-Tracking Devices Tested Under Unrestricted Conditions at Home in Healthy Young Adults
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DOI: 10.2147/nss.s348795
Abstract: Purpose Commercial wearable sleep-tracking devices are growing in popularity and in recent studies have performed well against gold standard sleep measurement techniques. However, most studies were conducted in controlled laboratory conditions. We therefore aimed to… read more here.
Keywords: wake; tracking devices; sleep tracking; wearable sleep ... See more keywords
Smartphone applications for sleep tracking: rating and perceptions about behavioral change among users
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DOI: 10.5935/1984-0063.20210007
Abstract: Introduction This study aims to assess existing sleep apps for mobile phones to determine the perceived effect of these applications on user’s attitudes, knowledge, willingness to change, and its likelihood to change behavior from a… read more here.
Keywords: applications sleep; change; sleep tracking; sleep hygiene ... See more keywords