The present invention relates to a system and a method of determining disease based on a heat map image explainable from an electrocardiogram signal, which determine an electrocardiogram signal as a normal signal and a disease signal by transfer-learning a transfer-learning model through a deep learning network, calculate and visualize a part with a high relevance score to the determination to enable a user to objectively and finally determine the disease and the normal state. The system for determining disease based on a heat map image explainable from an electrocardiogram signal includes: an electrocardiogram measuring unit configured to acquire an electrocardiogram signal; a scalogram transform unit configured to transform the electrocardiogram signal acquired from the electrocardiogram measuring unit into a time-frequency region and store the transformed electrocardiogram signal as a two-dimensional image; a disease determining unit configured to determine the electrocardiogram signal as normal/disease through the two-dimensional image stored in the scalogram transform unit; a relevance score calculating unit configured to calculate a part contributed to determination of the electrocardiogram signal as normal/disease by the disease determining unit; and a heat map display unit configured to display the part contributed to the determination of the electrocardiogram signal as normal/disease calculated by the relevance score calculating unit as a heat map.
SYSTEM AND METHOD OF DETERMINING DISEASE BASED ON HEAT MAP IMAGE EXPLAINABLE FROM ELECTROCARDIOGRAM SIGNAL