Using heart rate profiles during sleep as a biomarker of depression.

ABSTRACT:

Background

Abnormalities in heart rate during sleep linked to impaired neuro-cardiac modulation may provide new information about physiological sleep signatures of depression. This study assessed the validity of an algorithm using patterns of heart rate changes during sleep to discriminate between individuals with depression and healthy controls.

Methods

A heart rate profiling algorithm was modeled using machine-learning based on 1203 polysomnograms from individuals with depression referred to a sleep clinic for the assessment of sleep abnormalities, including insomnia, excessive daytime fatigue, and sleep-related breathing disturbances (n = 664) and mentally healthy controls (n = 529). The final algorithm was tested on a distinct sample (n = 174) to categorize each individu

SUBMITTER: Saad M 

PROVIDER: S-EPMC6554996 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature