Proof of principle study: diagnostic accuracy of a novel algorithm for the estimation of sleep stages and disease severity in patients with sleep-disordered breathing based on actigraphy and respiratory inductance plethysmography.

ABSTRACT:

Purpose

In this proof of principle study, we evaluated the diagnostic accuracy of the novel Nox BodySleep^TM 1.0 algorithm (Nox Medical, Iceland) for the estimation of disease severity and sleep stages based on features extracted from actigraphy and respiratory inductance plethysmography (RIP) belts. Validation was performed against in-lab polysomnography (PSG) in patients with sleep-disordered breathing (SDB).

Methods

Patients received PSG according to AASM. Sleep stages were manually scored using the AASM criteria and the recording was evaluated by the novel algorithm. The results were analyzed by descriptive statistics methods (IBM SPSS Statistics 25.0).

Results

We found a strong Pearson correlation (r=0.91) with a bias of 0.2/h for AHI estimation as well

SUBMITTER: Dietz-Terjung S 

PROVIDER: S-EPMC8590674 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature