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Validation of non-contact sensor quantification of heart rate and respiratory rate dynamics using real-world pretraining and label-efficient fine-tuning on polysomnograms

2026-07-04

Abstract excerpt

Non-contact mechanical bed sensors can passively and longitudinally monitor the dynamics of cardiopulmonary physiology to detect changes from patient-specific baselines and facilitate care. This requires accurate longitudinal quantification of established metrics like respiratory rate (RR) and heart rate (HR) from the underlying raw waveforms, validated against ground truth labeled datasets like simultaneous polys...

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Literature Corpus work
2373d3b4-6c21-5063-b6d3-bc9a22680d7d
DOI
10.64898/2026.07.01.26356016
Open publication

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Validation of non-contact sensor quantification of heart rate and respiratory rate dynamics using real-world pretraining and label-efficient fine-tuning on polysomnogramsDOI 10.64898/2026.07.01.26356016
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