Description of Invention
Cardiovascular disease accounts for 17.9 million lives lost annually and has also been a top cause of death in Malaysia for the past 40 years. The demand for early detection of CVD is increasing along with the increasing elderly population to prevent life-threatening consequences. A certified cardiologist typically uses the electrocardiogram signal for traditional CVD detection. However, manually analyzing the signal may lead to several problems, such as being time-consuming and labor-intensive. Our AI solution (transfer learning) for CVD detection helps increase medical personnel's confidence in diagnosis and reduce traditional detection problems.