The article discusses research on a wearable medical diagnostic system using electrical impedance tomography. This system aims to diagnose long-term respiratory diseases, particularly COPD, ARDS, pneumothorax, pneumonia, bron-chospasm, and pulmonary hypertension. It seeks to reduce the number of tests needed for accurate diagnoses, thus saving time. The article compares two classification models for distinguishing between diseased and healthy individuals. This approach helps streamline the diagnostic process.