Transient Sleep Disorder Polysomnography Scoring Data

This dataset, sleep_disorder_df, is a data frame containing polysomnographic (PSG) measurements from a clinical study designed to compare automated and semi-automated scoring methods used in the diagnosis of transient sleep disorders. The study included 82 patients who were administered a sleep-inducing drug (Zolpidem 10 mg). The primary measure of interest is the latency to persistent sleep (LPS), defined as the time from lights out to the beginning of 10 consecutive minutes of uninterrupted sleep. LPS was measured using three different scoring methods: manual, automated, and partial.

Usage

data(sleep_disorder_df)

Format

A data frame with 82 observations and 3 variables:

manual

Latency to persistent sleep measured using manual scoring (numeric)

automated

Latency to persistent sleep measured using automated scoring (numeric)

partial

Latency to persistent sleep measured using semi-automated (partial) scoring (numeric)

Source

Data taken from the MVT package version 0.3-81

Details

The dataset name has been kept as sleep_disorder_df to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the NeuroDataSets package and assists users in identifying its specific characteristics. The suffix df indicates that the dataset is a data frame. The original content has not been modified in any way.