Smartphone sleep-tracking applications vs conventional methods of evaluating sleep
| App | Comparator | N | Study population | Results |
|---|---|---|---|---|
| Sleep Time18 | Polysomnography | 20 | Volunteers with no sleep disorders Mean age 39.5 | Sensitivity for sleep 89.9% Specificity for wakefulness 50% No clear correlation between Sleep Time and polysomnography for sleep onset latency and sleep stages Did not awaken subjects exclusively from light sleep |
| Motion X 24/717 | Polysomnography and actigraphy | 64 | Children, adolescents with suspected obstructive sleep apnea Mean age 8.4 | Overestimated total sleep time and sleep efficiency Underestimated sleep onset latency and wake time after sleep onset |
| Toss ‘N’ Turn19 | Pittsburgh Sleep Quality Index (sleep diary) | 27 | Volunteers Mean age 34 | Reasonable accuracy for classifying good and poor sleepers per diary No clear correlation between app and diary for bedtime, wake time, and sleep duration |