Accuracy of computer algorithms and the human eye in scoring actigraphy
- First Online:
- 369 Downloads
The purpose of this study is to determine the optimal scoring method and parameter settings of actigraphy by comparison to simultaneous polysomnography (PSG).
Fifteen studies of simultaneous PSG and actigraphy were completed in adolescents (mean age = 16.3 years) and analyzed. Scoring actigraphy by the human eye was compared to a commercial computerized algorithm using various parameters. The PSG was considered the reference standard.
There was a better correlation between actigraphy and PSG sleep start/end, total sleep time, wake after sleep onset, and sleep efficiency when the rest period was determined by the human (mean r = 0.640) rather than auto-set by the software (r = 0.406). The best results came when the rest intervals were set based on the PSG (r = 0.694). Scoring the printed actogram by the human eye was superior to the auto analyses as well (r = 0.575). Higher correlations and lower biases were obtained from lower wake threshold settings (low and medium) and higher immobility times (10 and 15 min).
Visual scoring by simple inspection of the actigraphy tracing had a reasonable correlation with the gold standard PSG. Accurate determination of the rest interval is important in scoring actigraphy. Scoring actigraphy by the human eye is superior to this computer algorithm when auto-setting major rest periods. A low wake threshold and 10–15 min of immobility for sleep onset and sleep end yield the most accurate computerized results. Auto-setting major rest intervals should be avoided to set start/end of rest intervals; adjustments for artifacts and/or a sleep diary for comparison are helpful.
KeywordsActigraphy Polysomnography Sleep Reference standards Visual scoring Computer scoring
- 3.Collop NA, Anderson WM, Boehlecke B, Claman D, Goldberg R, Gottlieb DJ, Hudgel D, Sateia M, Schwab R (2007) Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients. Portable monitoring task force of the American academy of sleep medicine. J Clin Sleep Med 3(7):737–747PubMedGoogle Scholar
- 7.Iber C, Ancoli-Israel S, Chesson AL Jr, Quan SF (2007) The AASM manual for the scoring of sleep and associated events: rules, terminology, and technical specifications. American Academy of Sleep Medicine, WestchesterGoogle Scholar
- 11.Kim MJ, Lee GH, Kim CS, Kim WS, Chung YS, Chung S, Lee SA (2012) Comparison of three actigraphic algorithms used to evaluate sleep in patients with obstructive sleep apnea. Sleep Breath. doi:10.1007/s11325-012-0689-zGoogle Scholar
- 14.Montgomery-Downs HE, Insana SP, Bond JA (2011) Movement toward a novel activity monitoring device. Sleep Breath. doi:10.1007/s11325-011-0585-yGoogle Scholar