This paper presents an electrocardiographic signal classification method. This method first uses a revised locally linear embedding (LLE) algorithm to perform dimension reduction to the Electrocardiography (ECG) data. This manifold distance measurement-based LLE was proposed to solve the defect of conventional LLE that, due to the use of Euclidean distance, it could not properly measure the distance between high-dimensional samples. Using this revised LLE algorithm for the dimension reduction of data, more original data information could be retained, and the features of high-dimensional ECG da...
