CROSS-DOMAIN UNROLLING-BASED IMAGING PHOTOPLETHYSMOGRAPHY SYSTEMS AND METHODS FOR ESTIMATING VITAL SIGNS
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United States of America
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Mar 6, 2025
app pub date -
Sep 5, 2023
filing date -
Sep 5, 2023
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Abstract
A computer-implemented method for estimating a vital sign of a subject comprises receiving a sequence of imaging photoplethysmography (iPPG) signals measured from different regions of a skin of the subject and executing a cross-domain unrolling optimization iteratively minimizing a difference between the received iPPG signals and reconstructed iPPG signals followed by processing the reconstructed iPPG signals with an iPPG neural network trained in the frequency domain with machine learning to enforce a learned structure on the frequency coefficients of the reconstructed iPPG signals. The method further comprises determining the vital sign signal of the subject from the frequency coefficients of the reconstructed iPPG signals upon reaching a termination condition of the cross-domain unrolling optimization and outputting the vital sign signal corresponding to the reconstructed iPPG signals.
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