A method for generating a model for generating a synthetic ecg and a method and system for analysis of heart activity

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.

Patent Publication Number: EP3669768

Year filing: 2020

Year approval: 2021

Year publication: 2020

Status: Requested

Technology domains: Medical technology

Validated for IOF-key: Yes

Attributed to: Associatie KULeuven