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An Electrocardiogram (ECG) signals commonly change their statistical property over time and are highly non- stationary signals. Growing of embedded technology have provide possibility for use powerful tools to analysis ECG. For the analysis of ECG signals wavelet transform is a powerful tool. In this paper, we proposed Implemented an automatic real time ECG feature extraction system based on discrete...
This paper presents a detail review and implementation issue of fetal ECG extraction and enhancement. The focus is also made on proper placement of electrodes for fetal ECG monitoring in twins and multi-fetal prenatal. Various extraction methods like correlation, subtraction, matched filtering, linear regression and independent component analysis are discussed. For enhancement neural networks, fuzzy...
After a simple introduction of intelligent monitoring system, monitor video processing methods based on wavelet transform, including denoising, enhancement, feature extraction and compression, are proposed in this paper. Results relating to the series of methods are given by Matlab software system. At the end of this paper, the advantage of using of wavelet in video processing is discussed.
As system clock frequency increasing, signal integrity is becoming more important, especially for digital signal. However, the signal quality always descends when they are transmitting in the circuit because of all kinds of environmental stress. In many cases, such influences are unavoidable. Monitoring the feature of signal is the key to prognostics. This paper presents an application of wavelet...
The vibration signal is very important to the bridge healthy monitoring, because the variation of bridge vibration frequency indicates the changing of bridge structure state. Wavelet analysis theory is applied in this paper and study to analyses the monitoring data of bridge vibration signals in the bridge health monitoring system, and through multi-scale decomposition and reconstruction, as well...
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