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Temporal Heart Rhythm Clusters and Physiomorphic Age Mapping: A Deep Learning Approach to Cardiovascular Risk Stratification

2024-04-10

Abstract excerpt

<h4>Purpose</h4> Understanding the intricate relationships between sleep quality and cardiovascular outcomes can potentially offer new avenues in risk stratification for cardiovascular diseases (CVD). This study aimed to evaluate the significance of biological age predicted through the analysis of sleep stages and nocturnal heart rhythms as a marker for cardiovascular risk. <h4>Methods</h4> We leveraged an unsuper...

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Literature Corpus work
8760589f-0e03-58a7-8559-e88421d10399
DOI
10.1101/2024.04.09.24305561
Open publication

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Temporal Heart Rhythm Clusters and Physiomorphic Age Mapping: A Deep Learning Approach to Cardiovascular Risk StratificationDOI 10.1101/2024.04.09.24305561
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