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Article

Cardiac abnormality detection with a tiny diagonal state space model based on sequential liquid neural processing units

2023-12-17

Abstract excerpt

This manuscript presents and studies the performance of the Diagonal State Space Sequence (S4D) model based on the Closed-form Continuous-time (CfC) network in order to achieve a high-performing cardiac abnormality detection method that is robust, generalizable, and tiny in size. Our S4D-CfC model is evaluated on 12- and 1-lead electrocar-diogram (ECG) data from over 20,000 patients. The system exhibits validation...

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Identifiers and source

Literature Corpus work
c27358cc-ebd5-50e4-8431-96537d4e837c
DOI
10.1101/2023.12.15.23299990
Open publication

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Cardiac abnormality detection with a tiny diagonal state space model based on sequential liquid neural processing unitsDOI 10.1101/2023.12.15.23299990
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