Classification of Cardiovascular Disease Using Feature Extraction and Artificial Neural Networks

• 作 者: Shalin Savalia Eder Acosta Vah
• 机 构: DepartmentofElectricalEngineering
• 出 处: 生物科学与医学(英文)
• 发表日期: 2017年11期
• 关键词: ELECTROCARDIOGRAM (ECG) Cardiovascular Disease MATLAB Artificial Neural Network

Electrocardiogram (ECG) signals are used to identify cardiovascular disease. The availability of signal processing and neural networks techniques for processing ECG signals has inspired us to do research that consists of extracting features of an ECG sign