C STAGE, automated sleep scoring: Development and comparison with human sleep scoring for healthy older men and women

Abstract

Using the sleep records of 200 men and women (age 55-85 years), we have developed a human-assisted computer scoring system, C STAGE. The system can have many applications, including quantitative electroencephalographic (EEG) analysis during specific stages of sleep. C STAGE classifies sleep/wake stages using power spectral analysis and other techniques applied to one channel of EEG data. Here we report comparability data between C STAGE- and human-rated sleep-stage scoring using Rechtschaffen and Kales criteria for 70 normal subjects (a subset of the 200). Because the method was developed using these subjects, we also report comparability data for an independent validation sample of 45 normal older men and women. For waking measures, sleep stages 3 and 4, and total sleep time, C STAGE yielded ratings comparable with the human rater (r = 0.73-0.91; p < 0.001). For sleep stages 1 and 2 and REM sleep, C STAGE correlated less well with human ratings (r = 0.59-0.81; p < 0.001). Overall, these correlations compare well with other currently available computer stage-scoring methods. Epoch-by-epoch comparisons in the validation sample revealed a mean proportion of agreement of 0.74 and a mean Kappa coefficient of 0.57, indicating the two methods provide reasonable agreement on an epoch-by-epoch basis. We conclude that C STAGE is a valid sleep/walking scoring system for healthy older adults.