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

Claim 0:
1. A method for detecting a respiratory event of a subject, said method comprising:
receiving a bio-impedance measurement signal from the subject, said bio-impedance measurement signal being dependent on respiratory action of the subject;
extracting at least one time-sequence of the bio-impedance measurement signal; and
for each of the extracted time-sequences:
by means of a processing unit, comparing the bio-impedance measurement signal with each of a plurality of machine learning models in an ensemble of machine learning models so as to form a set of predictions of occurrence of a respiratory event, wherein each prediction in the set is based on comparing the bio-impedance measurement signal with one machine learning model, 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 training time-sequences; and
determining whether a respiratory event occurred in the extracted time-sequence based on the set of predictions.