In the global health field, cardiovascular disease has become a major public health problem, early and accurate diagnosis is critical to saving lives, and electrocardiogram (ECG) as a widely used non-invasive diagnostic tool, its signal quality directly affects the diagnostic accuracy. However, the actual ECG signal acquisition is often affected by the internal noise of the organism, the thermal noise of the equipment and the electromagnetic interference of the environment, which leads to the deterioration of signal quality. Therefore, this study focuses on effective methods to suppress the noise of human ECG signals, especially a noise reduction solution based on common mode feedback technology is proposed. In this paper, the importance of ECG signal and the problem of its susceptibility to noise are discussed, which highlights the urgency of using circuit noise reduction technology. Then, the principle of common-mode feedback technology is analyzed deeply, and its superiority in eliminating common-mode noise and enhancing signal-to-noise ratio is revealed. By establishing a simulation model, the differential noise reduction circuit based on load current mirror is simulated by Coolspice software, and the effect of ECG signal noise reduction under simulated noise environment is simulated. The simulation results show that the noise component in ECG signal can be significantly reduced and the signal quality can be effectively improved by using the load current mirror to provide a more accurate and reliable basis for the subsequent ECG data analysis.
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Hong-Ye Hu (2024) studied this question.
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