IMEC vzw;Stichting IMEC Nederland;REGENTS OF THE UNIVERSITY OF MINNESOTA
发明人:
申请号：
EP18214736.3
公开号：
EP3669768A1
申请日:
2018.12.20
申请国别(地区):
EP
年份:
2020
代理人:
摘要：
A method of generating a model for generating a synthetic electrocardiography (ECG) signal comprises: receiving (102) subject-specific training data for machine learning, said training data comprising a photoplethysmography (PPG) signal acquired from the subject and an ECG signal acquired from the subject, wherein the ECG signal provides a ground truth of the subject for associating the ECG signal with the PPG signal； using (104) associated pairs of a time-series of the PPG signal and a corresponding time-series of the ECG signal as input to a deep neural network, DNN (400)； and determining (106； 310), through the DNN (400), a subject-specific model relating the PPG signal of the subject to the ECG signal of the subject for converting the PPG signal to a synthetic ECG signal using the subject-specific model.
