Heartbeat Classification by Random Forest With a Novel Context Feature: A Segment Label.

Congyu ZouAlexander MullerUtschick Wolfgang Daniel RuckertPhillip MullerMatthias BeckerAlexander StegerEimo Martens

Published in: IEEE journal of translational engineering in health and medicine (2022)

This study demonstrates that the segment label can contribute to precisely classifying heartbeats, especially those that require rhythm information as context information (e.g. SVEB). <i>Clinical impact:</i> Using a medical devices embedding our algorithm could ease the physicians' processes of diagnosing cardiovascular diseases, especially for SVEB, in clinical implementation.

Keyphrases

machine learning
deep learning
primary care
cardiovascular disease
healthcare
health information
climate change
neural network
atrial fibrillation
blood pressure
social media