论文信息 - Automatic Detection of Sleep Stages in Neonatal EEG Using the Structural Time Profiles

Automatic Detection of Sleep Stages in Neonatal EEG Using the Structural Time Profiles

The new method for automatic sleep stages detection in neonatal EEG was developed. The procedure is based on processing of time profiles computed by adaptive segmentation and subsequent classification of signal graphoelements. The time profiles, functions of the class membership in the course of time, reflect the dynamic EEG structure and may be used for indication of changes in the neonatal sleep stages

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