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Optimization of Human ECG Signal Acquisition Based on Wavelet Neural Network and Genetic Algorithm
Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
Human ECG signal is weak, the signal-to-noise ratio is small, the collected ECG signal amplification and filtering are often accompanied by interference, the interference from the body's own interference such as EMG interference, but also from outside interference such as 50Hz power frequency interference. These disturbances degrade the signal-to-noise ratio of the system, and can even overwhelm the useful weak ECG signal, especially 50Hz power frequency interference. If not to eliminate todoi:10.2991/eia-17.2017.7 fatcat:beybw66ntbe2vg23fxecn47zcu