Back to search

Article

PIPxResNet: Penalty Induced Prototype-Based eXplainable Residual Neural Network for Heartbeat Classification

2021-08-30

Abstract excerpt

<title>Abstract</title> <p>Early stage heartbeat classification using the electrocardiogram signals can prevent cardiovascular diseases that causes millions of deaths annually around the world. In the past, researchers have used deep neural networks to achieve significant performance for heartbeat classification but their black-box nature and prediction rationale limits real-world deployment. We propose a Penalty...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7736361a-e688-5ca6-a0c1-ec2188450a2b
DOI
10.21203/rs.3.rs-852812/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
PIPxResNet: Penalty Induced Prototype-Based eXplainable Residual Neural Network for Heartbeat ClassificationDOI 10.21203/rs.3.rs-852812/v1
Select a neighboring publication to make it the new centre.