Role of automated detection of respiratory related heart rate changes in the diagnosis of sleep disordered breathing.

ABSTRACT:

Study objectives

The objective of this study was to determine whether electrocardiogram (ECG) and heart rate accelerations that occur in the vicinity of respiratory events could predict the severity of sleep-disordered breathing (SDB).

Methods

De-identified polysomnogram (NPSG) recordings from 2091 eligible participants in the Sleep Heart Health Study (SHHS) were evaluated after developing and validating an automated algorithm using an initial set of recordings from 1,438 participants to detect RR interval (RRI) dips in ECG and heart rate accelerations from pulse rate signal. Within-subject comparisons were made between the apnea-hypopnea index (AHI) and both the total RRI dip index (total RRDI) and total heart rate acceleration index (total HRAI).

Results

The estimat

SUBMITTER: Maresh S 

PROVIDER: S-EPMC12713967 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature