Use of machine learning and Poincare density grid in the diagnosis of sinus node dysfunction caused by sinoatrial conduction block in dogs.

ABSTRACT:

Background

Sinus node dysfunction because of abnormal impulse generation or sinoatrial conduction block causes bradycardia that can be difficult to differentiate from high parasympathetic/low sympathetic modulation (HP/LSM).

Hypothesis

Beat-to-beat relationships of sinus node dysfunction are quantifiably distinguishable by Poincaré plots, machine learning, and 3-dimensional density grid analysis. Moreover, computer modeling establishes sinoatrial conduction block as a mechanism.

Animals

Three groups of dogs were studied with a diagnosis of: (1) balanced autonomic modulation (n = 26), (2) HP/LSM (n = 26), and (3) sinus node dysfunction (n = 21).

Methods

Heart rate parameters and Poincaré plot data were determined [median (25%-75%)]. Recordings were randomly assi

SUBMITTER: Flanders WH 

PROVIDER: S-EPMC11099791 | biostudies-literature | 2024 May-Jun

REPOSITORIES: biostudies-literature