Development of Computer- Aided Diagnosis System to Evaluate the Lung Efficiency Using Electrical Impedance Tomography

Nowadays, one of the most common diseases of industrial and developed societies is pulmonary disorders.Creating a smart computer system to identify the patient’s lung function and check the disruption of each region cansignificantly contribute physicians in better and more accurate treatment of the disease. In this paper, an algorithm isproposed to determine the efficiency of each part of the lung due to the amount of oxygen received using the electricalimpedance tomography system. The data used in this paper include 82 of the registered data from both the inhale andexhaling modes of 52 patients with lung disorders that have a sampling frequency of 20 Hz. As mentioned in this paper,the signals from each part were extracted and analyzed while the lung segmentation was done as quadrants. Then thepeaks of each section were identified and their ratio with the total signal was calculated which is a total of four parts.The relative variation of each inhale and exhalation cycle compared to the standard volume of each lung component inhealthy person was considered as an indicator to define the level of lung’s function in receiving oxygen levels.Although the above-mentioned ratios are closer to the standard criterion of each section, it is that the person receives thedesired oxygen content, otherwise they have lung impairments, such as asthma and asthma. As a result, by comparingthe lung volume signals in healthy individuals and patients and determining the relative index, we can be helpful todifferent people and patients during and after surgery to diagnose their lung’s efficiency as well as their health.

کلیدواژه ها:

Pulmonary Disease ، lung Volume Changes ، Inhalation-Exhalation ، Signal Processing ، Electrical ImpedanceTomography