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Patent
A method of generating a model for heart rate estimation from a photoplethysmography signal and a method and a device for heart rate estimation
A method of generating a model for heart rate estimation from a photoplethysmography, PPG, signal of a subject comprises: receiving (102) subject-specific training data for machine learning, said training data comprising a PPG signal from the subject and a heart rate indicating signal from the subject, wherein the heart rate indicating signal provides a ground truth of heart rates of the subject for associating a heart rate with a time period of the PPG signal; using (104) associated pairs of a heart rate and a complete dataset of a time-series of a PPG signal over a time period as input to a deep neural network, DNN; and determining (106; 312), through the DNN, a subject-specific model relating the PPG signal of the subject to the heart rate of the subject.
Patent Publication Number: EP3626167
Year filing: 2020
Year approval: 2021
Year publication: 2020
Status: Requested
URI: link to Espacenet
Technology domains: Medical technology
Validated for IOF-key: Yes
Attributed to: Associatie KULeuven