EPOWT: A denoising technique of the electrocardiography signal transmission via 5G wireless communications

Abstract

This article provides a thorough review of 5G wireless electrocardiography (ECG) communication for actual cardiac signal using both technical and clinical features for the purpose of recommending real‐time observation. Major issue regarding this frame work is the distortion and smoothness of ECG signal for the cardiologist advice also it needs correct diagnosis at the proper time. Extensive 5G wireless simulated scenarios are used to supervise the compressed ECG signal on reception. An efficient ECG transmission protocol is a modern and consistent ECG transmission protocol which is used to retransmit the noise signals. Thus, we are filtering the ECG signals to improve the quality which may directly affects the medical diagnosis. Because, time and frequency indicators can be obtained by the wavelet analysis but majority of the error functions cannot be flexible to various signals because of the static transition curve of threshold. Hence, we proposed a new emperor penguin optimization (EPO) together with wavelet thresholding (EPOWT) method. Here, the EPOWT is estimated through the means of real‐time ECG records. The outcomes of filtering process shows that the proposed EPOWT approach can achieve smooth threshold transition and soft thresholding bring the wavelet coefficient. EPOEPO algorithm is used to improve its flexibility to different signals. The EPOWT can generate an essential noise‐free signal by balancing the smoothness and signal distortion filtering for transmission. The proposed method can attains 2.9 seconds delay during simulation. Thus, the 5G wireless channel parameter's functioning zone is simple to acquire.