Kumar Ashish, Ranganatham Ramana, Komaragiri Rama, Kumar Manjeet
Department of Electronics and Communication Engineering, Bennett University, Greater Noida, UP 201310 India.
Biomed Eng Lett. 2018 Oct 25;9(1):145-151. doi: 10.1007/s13534-018-0087-y. eCollection 2019 Feb.
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.
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。
