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Interpretable Photoplethysmography Feature Engineering for Multi-Class Blood Pressure Staging

2026-02-12

Abstract excerpt

Hypertension is a leading global health risk and requires accurate and continuous monitoring for effective management. Although photoplethysmography (PPG) is a promising non-invasive modality for cuffless blood pressure (BP) assessment, many existing approaches (especially raw-signal deep learning) are vulnerable to data leakage, overfitting on small datasets, limited interpretability, and poor performance on mino...

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Literature Corpus work
e1786b13-ee0c-5371-aea6-773a63336619
DOI
10.20944/preprints202602.0969.v1
Open publication

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Interpretable Photoplethysmography Feature Engineering for Multi-Class Blood Pressure StagingDOI 10.20944/preprints202602.0969.v1
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