ECG Signal Wavelet Filtering
Abstract
The aim of this work is introduction to problems about the wavelet transform and then to use this transformation to filter ECG signal disturbed with myopotentials. The first part of this thesis contains basic information about the measurement, waveform and disturbance of ECG signal. The next part describes the method of wavelet transform and its use for the signal filtering The last part describes the practical part of work, where the results of filtering with different filter settings are evaluated, especially the various types of thresholding. At the end of this part is a comparison of results from wavelet and linear filter- info:eu-repo/semantics/bachelorThesis
- hybridní prahování.; univerzální práh; ECG signals; continuous wavelet transform; EKG; myopotenciály; universal threshold; Wavelet filtering; diskrétní vlnková transformace; soft thresholding; spojitá vlnková transformace; empiric threshold; měkké prahování; myopotencials Wavelet transform; hard thresholding; non-negative garrote.; tvrdé prahování; discrete wavelet transform; DTWT; vlnková filtrace; empirický práh; vlnková transformace
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Last time updated on 10/08/2016
This paper was published in National Repository of Grey Literature.
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