GROENENDAAL, WILLEMIJN,DESCHRIJVER, DIRK,RUYSSINCK, JOERI,VAN STEENKISTE, TOM
申请号：
CA3094421
公开号：
CA3094421A1
申请日:
2019.03.13
申请国别(地区):
CA
年份:
2019
代理人:
摘要：
A method for detecting a respiratory event of a subject comprises: receiving a bio-impedance measurement signal (S2) dependent on respiratory action from the subject； extracting (306) at least one time- sequence of the bio-impedance measurement signal (S2)； and for each extracted time-sequence: comparing (308) the bio-impedance measurement signal (S2) with each of a plurality of machine learning models in an ensemble of machine learning models to form a set of predictions of occurrence of a respiratory event, wherein each prediction is based on comparing the bio-impedance measurement signal (S2) with one machine learning model, wherein each model correlates features of time-sequences of a bio-impedance measurement signal (S2) with presence of a respiratory event and wherein each model is trained on a unique data set of training time- sequences； deciding (310) whether a respiratory event occurs in the extracted time-sequence based on the set of predictions.
