Using smartphones to monitor daily rhythms in people with non-24-hour sleep-wake disorder who can see over 258 days

A 258-day continuous assessment using smartphone-based digital phenotyping effectively inferred sleep-wake patterns.

• Smartphone interaction data was used to assess sleep-wake patterns instead of traditional methods.
• The Rhythm app logged human-smartphone interactions to score sleep or wake states over 5-minute intervals.
• Results indicated strong agreement between smartphone-based tracking and conventional actigraphy over 109 days.
• The circadian periods derived from smartphone data (25.16 h) and actigraphy (25.11 h) were nearly identical.
• This approach may provide a practical alternative for long-term monitoring of circadian rhythms in Non-24-h Sleep-Wake Disorder.

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