The Analysis of Wavelet De-Noising on ECG
The wavelet analysis is very popular in ECG de-noising as one of the most powerful tool to analysis or deal with different problems. This paper describes the generation and characteristics of ECG signals, and the origin of its three major noises. Estimati
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The Analysis of Wavelet De-Noising on ECG Dongxin Lu, Qi Teng and Da Chen
Abstract The wavelet analysis is very popular in ECG de-noising as one of the most powerful tool to analysis or deal with different problems. This paper describes the generation and characteristics of ECG signals, and the origin of its three major noises. Estimating the original signals from the noise has always been an important part in the field of ECG signal processing. Some key methods of traditional de-noising based on Fourier transform and wavelet de-nosing are presented in this paper; the basic idea of the wavelet de-noising and wavelet denoising method description show that the features and advantages of wavelet denosing are better than the traditional ways. Because of wavelet can simultaneously analyze signals in time-frequency, it can effectively distinguish the mutation and noise of useful signal so to realize de-noising of non-stationary signal and remain useful transient signal without loss, so we can find that wavelet de-noising not only reduces cost but also has better result than traditional methods. Keywords ECG signals
Noise Traditional de-nosing Wavelet de-nosing
D. Lu (&) Q. Teng Software College, Nanchang University, Nanchang 330000, China e-mail: [email protected] Q. Teng e-mail: [email protected] D. Chen International Education College, Jiangxi Normal University, Nanchang 330000, China e-mail: [email protected]
S. Li et al. (eds.), Frontier and Future Development of Information Technology 3197 in Medicine and Education, Lecture Notes in Electrical Engineering 269, DOI: 10.1007/978-94-007-7618-0_411, Springer Science+Business Media Dordrecht 2014
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D. Lu et al.
411.1 The Characteristics of ECG Signals ECG is a performance of the heart activities over the human body surface; it’s a weak signal of MV-level with the changes of the state of human detection and time. ECG is a typical strong noise of non-stationary signals with obvious characteristics of non-stationary, micro energy and signal-to-noise is relatively small. Highly vulnerable to environmental impacts of ECG, it’s often accompanied by noises in the course of acquisition, amplification, transmission. These noises mixed with ECG signals distort the ECG waveforms and make the waveforms are so blurred that directly affect the reliability of the ECG waveforms and diagnosis. Therefore, effective de-noising needs to be processed before the ECG automatic diagnosis. As shown in Fig. 411.1 is a typical ECG signals.
411.2 The Origin of ECG Noise Due to the instrument, the human body and other aspects, the noises in ECG are divided into the following categories [1, 2]: • Power line interference: Power line interference is interference caused by power system which constituted by the 50 HZ harmonics. In addition, the ambient electromagnetic interference is also an important factor. This interference may obscure the small twist in the ECG and affect the diagnosis of ECG. Figure 411.2 shows the ECG signals with power line interference. • EMG interference
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