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We present a novel algorithm for digital filtering of an electrocardiogram (ECG) signal received by both stationary and non-stationary sensors. The basic idea of digital ECG signal processing is to extract heartbeat frequencies, which are found to be normal in the range between 50 and 200 beats per min. The extracted heartbeat frequency is found to be irregular if the rate increases or decreases and...
The wavelet transform has been successfully used in the area of power quality analysis. There are many published papers with methods for power quality disturbances classification or harmonic measurement, which use wavelet transform. However, the properties of the wavelet transform can drastically vary from the choice of the wavelet. In this paper we analyze the influence of choice of the wavelet to...
In this paper we present a new method for detection and classification of power quality disturbances. For the feature extraction process we use wavelet analysis. However, the feature vector is extended with three additional features which make the classification more accurate. For the classification of the power disturbances we use SVM (Support Vector Machine). According to the properties of the analyzed...
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