QRS Complexes Detection for ECG Signal usingPTF Method

• Main Authors: Wan-Teseng Chang, 張萬增
• Other Authors: 葉雲奇
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/42577468500805538867

碩士 === 健行科技大學 === 電子工程系碩士班 === 103 === This study presents a novel Pan-Tompkins-Filter (PTF) algorithm for detecting QRS complexes of ECG signals. The PTF algorithm can effectively find the correct point of QRS complexes. The proposed algorithm consists of three major procedures: (1) the preprocessing procedure for noise reduction of ECG signals and taking PTF signals; (2) the procedure for finding R point by searching maximum and minimum extreme values, merging extreme values, setting threshold value, and reducing redundant extreme values; (3) the procedure for finding Q and S points by searching the minimum amplitude of search intervals of Q and S. The proposed PTF algorithm achieves about 99.25% classification accuracy on MIT-BIH and takes only 30 seconds for 10-minute long ECG signals. The PTF algorithm is a simple and effective algorithm for detecting QRS complexes of ECG signals.