Data on Cardiovascular Diseases and Conditions Reported by Researchers at Zhejiang University of Technology (A New Intelligent Ecg Recognition Approach Based On Cnn and Improved Alo-svm).

Researchers at Zhejiang University of Technology in China have developed an intelligent electrocardiogram (ECG) recognition method for the rapid diagnosis and evaluation of cardiovascular diseases. The method utilizes a convolutional neural network (CNN) and support vector machines (SVM) with an improved antlion algorithm (ALO) to classify ECG signals in real time. The algorithm achieved an average accuracy, sensitivity, and specificity of 99.97%, 99.97%, and 99.99%, respectively. This approach shows promise for improving the recognition performance of cardiovascular diseases compared to existing methods. [Extracted from the article]