基于几何形态群组特征的R波检测算法

he accurate detection of ECG R wave is the key to assist in the diagnosis of heart disease. For the R wave detection problem, this paper proposes an R-wave detection algorithm based on geometric group features. Firstly, the algorithm preprocesses the ECG signal with the filter bank. Then, it calculates geometric eigenvalues by means of signal processing giving consideration to both overall and local, and uses the three geometric eigenvalues in the group to detect the R wave. Finally, it adopts MIT-BIH Standard Arrhythmia Database to test and verify this algorithm. The experimental results show that the error detection rate of the algorithm for R wave detection is 1.07%, the sensitivity is 99.38%, the accuracy rate is 99.61%, and the precision rate is 98.99%.