The present invention relates to an operating method of a
lung monitoring system operated by at least one processor, the operating method comprising the steps of: acquiring a plurality of
electrical impedance tomography (EIT) images of the chest of a patient and a plurality of respiratory
sound intensity images generated on the basis of respiratory sound signals acquired from the chest of the patient; mapping, on the basis of a plurality of pieces of respiratory interval information acquired by binning a
respiratory signal of the patient, an EIT image and a respiratory
sound intensity image corresponding to each respiratory interval to each other; and inputting, into a respiratory anomaly prediction model, at least one pair of the EIT image and the respiratory
sound intensity image included in each respiratory interval, to acquire a prediction result for respiratory anomalies of the patient.