摘要
P,T波的检测在临床上是心血管疾病诊断的重要依据。由于其波形能量低、形态复杂,极易受到噪声干扰,导致现有检测算法精度仍有待提高。该文提出平稳和连续小波变换融合算法检测P,T波,利用连续小波变换的多尺度信息,获取心电图(ECG)信号中P,T波主要成分,融合其平稳小波对P,T波候选段进行平滑处理,消除波形中锯齿状毛刺对峰值点检测的影响,最后对P,T波过零点进行时移修正,保证过零点还原到原始信号过程中能够准确对应其峰值点,从而提高P,T波检测精度。该文算法在MIT-BIH arrhythmic数据库上进行验证,最终P波的误差率、敏感度、正确预测度达到:0.23%,99.85%,99.90%;T波的误差率、敏感度、正确预测度达到0.27%,99.85%,99.87%。
The detection of P and T waves is an important basis for the diagnosis of cardiovascular disease in the clinic.Because of its low waveform energy and complex shape,it is extremely susceptible to noise interference,which leads to the need to improve the accuracy of existing detection algorithms.In this paper,a P and T wave algorithm based on stable and continuous wavelet transform is proposed.First,the smooth wavelet transform is used to smooth the ElectroCardioGram(ECG)signal to eliminate the effect of jagged burrs on the peak point detection.Then,the multiscale information of continuous wavelet transform is used to obtain the main components of P and T waves in the ECG signal.According to the translation correction rule,the time shift of the zero crossings of P and T waves is corrected to improve the detection accuracy of P and T waves.The algorithm of this paper is verified on the MIT-BIH arrhythmic database,and the final P-wave error rate,sensitivity,and correct prediction reach 0.23%,99.85%,99.90%;the T-wave error rate,sensitivity,and correct prediction reach 0.27%,99.85%,99.87%.
作者
熊鹏
刘学朋
杜海曼
刘明
侯增广
王洪瑞
刘秀玲
XIONG Peng;LIU Xuepeng;DU Haiman;LIU Ming;HOU Zengguang;WANG Hongrui;LIU Xiuling(Key Laboratory of Digital Medical Engineering of Hebei Province,College of Electronic and Information Engineering,Hebei University,Baoding 071002,China;Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2021年第5期1441-1447,共7页
Journal of Electronics & Information Technology
基金
国家科技部国家重点研发计划(2017YFB1401200)
国家自然科学基金(61673158,61703133)
河北省自然科学基金(F2018201070)
河北省青年拔尖人才项目(BJ2019044)。
关键词
心电信号
平稳小波
连续小波
P
T波检测
ElectroCardioGram(ECG)signal
Stationary wavelet
Continuous wavelet
P and T waves detection
