SleepCycles

SleepCycles detects and characterizes NREM and REM sleep cycles from polysomnographically assessed sleep staging data to enable standardized analysis of ultradian variations in sleep microstructure.

Key Features:

• Cycle Detection: Identifies NREM-REM sleep cycles from polysomnographically assessed sleep staging data.
• Subdivision into Percentiles: Subdivides each NREM and REM period into equal-duration percentiles to allow temporal normalization across cycles of differing durations.
• Adapted Criteria: Applies detection criteria adapted from Feinberg and Floyd (1979) for cycle identification.

Scientific Applications:

• Fine-Grained Analysis: Enables fine-grained analyses of ultradian variations in sleep microstructure, including sleep spindles and arousals, using detected NREM-REM cycles.
• Electroencephalographic Feature Analysis: Facilitates examination of amplitude- and frequency-specific electroencephalographic features during NREM and REM periods.

Methodology:

Implemented in the R programming environment; identification of NREM-REM cycles from polysomnographic sleep staging data; subdivision of each NREM and REM period into equal-duration percentiles; use of detection criteria adapted from Feinberg and Floyd (1979) to define cycles.