Highly Efficient Low Noise Solutions in ECG Signals. Issue 1 (1st April 2022)

• Record Type: Journal Article
• Authors: Liu, Fengru; Xu, Yijie; Yao, Yuan
• Is Part Of: Journal of physics. Volume 2246:Issue 1(2022)
• Publication Date: 2022-04-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2246/1/012030
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: This paper aims at helping researchers develop low-noise ECG monitors and analyze existing solutions for eliminating noise in ECG signals. A brief introduction of ECG signal, main kinds of noise in ECG signal and a summary of different kinds of low noise solutions is given. The components of the ECG signal and the origin of noise in the ECG signal are analyzed first. In order to find optimized solutions for eliminating the noise, highly effective solutions are listed and analyzed. Solutions are divided into three main directions, which are circuit design, signal processing and machine learning. Specific practical examples from former research and analyses for each direction help the reader understand and select different ways of eliminating noise in ECG signals. After introducing three directions, a summary and further improvement are given to help readers have a horizontal comparison between solutions.