基于快速傅里叶变换的高效QRS波群检测算法
Efficient QRS complex detection algorithm based on Fast Fourier Transform.
作者信息
Kumar Ashish, Ranganatham Ramana, Komaragiri Rama, Kumar Manjeet
机构信息
Department of Electronics and Communication Engineering, Bennett University, Greater Noida, UP 201310 India.
出版信息
Biomed Eng Lett. 2018 Oct 25;9(1):145-151. doi: 10.1007/s13534-018-0087-y. eCollection 2019 Feb.
Abstract
An ECG signal, generally filled with noise, when de-noised, enables a physician to effectively determine and predict the condition and health of the heart. This paper aims to address the issue of denoising a noisy ECG signal using the Fast Fourier Transform based bandpass filter. Multi-stage adaptive peak detection is then applied to identify the R-peak in the QRS complex of the ECG signal. The result of test simulations using the MIT/BIH Arrhythmia database shows high sensitivity and positive predictivity (P) of 99.98 and 99.96% respectively, confirming the accuracy and reliability of proposed algorithm for detecting R-peaks in the ECG signal.
摘要
心电图（ECG）信号通常充满噪声，经过去噪后能使医生有效判断和预测心脏状况与健康情况。本文旨在解决使用基于快速傅里叶变换的带通滤波器对有噪声的ECG信号进行去噪的问题。然后应用多阶段自适应峰值检测来识别ECG信号QRS复合波中的R波峰。使用麻省理工学院/波士顿儿童医院心律失常数据库进行的测试模拟结果显示，灵敏度和阳性预测值（P）分别高达99.98%和99.96%，证实了所提算法检测ECG信号中R波峰的准确性和可靠性。
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