Innovating Cardiovascular Diagnosis among Elderly through Transfer Learning
Inventor
Heart disease is the leading cause of death globally, and with our aging population, early detection is more important than ever. This innovative technology uses non-intrusive ECG devices to analyze heart rhythm and electrical activity, potentially accurately recognizing signs of cardiovascular disease. This innovation could save countless lives and reduce healthcare costs significantly. The technology utilizes data from different heart conditions to address data limitations, making it a globally applicable solution. Hospitals, clinics, and even individual patients can benefit from this advancement, simplifying CVD detection, improving patient care, and promoting remote monitoring in the age of telemedicine. This collaborative approach using transferable models has the potential to boost global healthcare research, enhance our understanding of heart disease, and ultimately promote health equity for all.
Description of Invention
Sharifah Noor Masidayu Binti Sayed Ismail (Multimedia University)