Efficient ECG-Based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks
Author:
Affiliation:
1. L3S Research Center, Leibniz Universität Hannover,Hannover,Germany
Funder
Federal Ministry of Education and Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10289698/10289713/10289763.pdf?arnumber=10289763
Reference28 articles.
1. Quaternion neural network with temporal feedback calculation: Application to cardiac vector velocity during myocardial infarction;cruces;Revista Argentina de Bioingeniera,2018
2. PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions
3. Temporal patterns and short-term progression of paroxysmal atrial fibrillation: data from RACE V
4. Squeeze-and-Excitation Networks
5. Beyond fully-connected layers with quaternions: Parameterization of hypercomplex multiplications with 1/n parameters;zhang;Proc ICLR,2021
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