Patent ID: 11903724
Assignee: ONERA TECHNOLOGIES B.V.
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 9:
10. A method for forming a model for detecting a respiratory event of a subject, said method comprising:
receiving bio-impedance measurement signals from one or more subjects, said bio-impedance measurement signal being dependent on respiratory action of the subject;
extracting a plurality of training time-sequences of the bio-impedance measurement signals;
receiving information of occurrences of respiratory events, which information is synchronized with the plurality of training time-sequences so as to classify the training time-sequences as positive time-sequences representing a respiratory event or negative time-sequences not representing a respiratory event;
determining a plurality of machine learning models to form an ensemble of machine learning models, wherein each model correlates features of time-sequences of a bio-impedance measurement signal with presence of a respiratory event in the time-sequences of the bio-impedance measurement signal and wherein each model is trained on a unique data set of the plurality of training time-sequences.