Automatic-Scoring Actigraph Compares Favourably to a Manually-Scored Actigraph for Sleep Measurement in Healthy Adults

Abstract Introduction Actigraphy has been used widely in sleep research due to its non-invasive, cost-effective ability monitor sleep. Traditionally, manually-scored actigraphy deemed the most appropriate setting; however, technological advances have seen emergence of automatic-scoring wearable devices and software. Methods A total 60-nights data from 20-healthy adult participants (10 male, 10 female, age: 26 ± years) were collected while wearing two concomitantly. The objective was compare an device (Fatigue Science Readiband™ [AUTO]) a (Micro Motionlogger® [MAN]) based on Cole-Kripke method. Manual-scoring involved trained technicians scoring all data. Sleep indices including time (TST), bed (TIB), onset latency (SOL), efficiency (SE), wake after (WASO), episodes per night (WE), (SOT) (WT) assessed between using mean differences, 95% levels agreement, Pearson-correlation coefficients (r), typical error measurement (TEM) analysis. Results There no significant differences for any measured variables (p ≥0.05). All resulted very-strong correlations (all r ≥0.84) devices. difference <1 minutes TST associated with TEM 15.5 minute (95% CI =12.3 17.7 minutes). Conclusion Given there current study, may provide more practical alternative healthy populations.