Method for generating lung tomographic image based on lung sound, and lung monitoring system using the method

A lung monitoring system comprising:

• a memory;
• and
• a processor executing instructions stored in the memory,
• wherein the processor is configured to:
• obtain a respiratory intensity of lung sound signals measured at a chest of a patient;
• generate lung sound tomographic images divided into lung regions by displaying the respiratory intensity at the lung regions corresponding to a position where the lung sound signals are measured;
• calculate a peak compliance according to a variation in a positive end-expiratory pressure (PEEP) value for each lung region of the lung sound tomographic image;
• and
• determine an optimal PEEP range of the patient based on a PEEP value corresponding to the peak compliance for each lung region.

A method for generating lung sound tomographic images provided by a lung monitoring system, comprising:

• obtaining lung sound signals from lung sound signal measurement patches attached to patient's chest;
• obtaining a lung cross-section template corresponding to a position and a number of the attached patches;
• and
• generating the lung sound tomographic images by displaying a respiratory intensity distribution of the lung sound signals measured at the corresponding position in at lung regions included in the lung cross-section template.