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.

Octrooi-publicatienummer: EP3626167

Jaar aanvraag: 2020

Jaar toekenning: 2021

Jaar van publicatie: 2020

Status: Aangevraagd

Technologiedomeinen: Medische technologie

Gevalideerd voor IOF-sleutel: Ja

Toegewezen aan: Associatie KULeuven