DETERMINATION OF SLEEP AND WAKEFULNESS WITH THE ACTIGRAPH DATA-ANALYSIS SOFTWARE (ADAS)

Current evidence has shown that, overall, actigraphy is an excellent t ool for unobtrusive documentation of sleep/wake activity in normal ind ividuals. However, a number of methodological issues remain to be reso lved to warrant its use in clinical research. In this paper, we report the results of a study aimed at the development of a new scoring soft ware that can accurately identify sleep and wakefulness. Using total s leep time as an index of comparison, the software was optimized on a c alibration sample and prospectively tested on a validation sample. A s trong correlation coefficient (r = 0.93, p < 0.008), with an average d iscrepancy value of 10 minutes, was observed for the calibration sampl e. The application of the optimal software to the validation sample re vealed an even higher correlation coefficient (r = 0.97, p < 0.0001), with an average discrepancy value of 12 minutes.