Classification and prediction code of ECG signal based on SVM
4.0
Support vector machine (SVM) is used to test and classify ECG signals to determine the classification of ECG signals. The default SVM model is used for multi classification. ECG signals are mainly divided into five categories. Libsvm tool is used for algorithm classification, and the accuracy is as high as 97%