Publication detail

Wavelet Filtering of ECG Signals Using Pilot Estimation

SMITAL, L.

Original Title

Wavelet Filtering of ECG Signals Using Pilot Estimation

English Title

Wavelet Filtering of ECG Signals Using Pilot Estimation

Type

conference paper

Language

en

Original Abstract

The paper deals with methods of denoising of ECG signals via wavelet transform. We focus on the method of pilot estimation. Our aim is to find optimal setting of input parameters for denoising in consideration of achieved signal-to-noise ratio (SNR) in output and deformation of output signal. Finally we present rules and recommendations which are needed to adhere to get quality results.

English abstract

The paper deals with methods of denoising of ECG signals via wavelet transform. We focus on the method of pilot estimation. Our aim is to find optimal setting of input parameters for denoising in consideration of achieved signal-to-noise ratio (SNR) in output and deformation of output signal. Finally we present rules and recommendations which are needed to adhere to get quality results.

Keywords

wavelet transform, Wiener filtering, pilot estimation, ECG signal

RIV year

2009

Released

23.04.2009

ISBN

978-80-214-3870-5

Book

Proceedings of the 15th Conference STUDENT EEICT 2009

Edition number

1

Pages from

363

Pages to

367

Pages count

5

Documents

BibTex


@inproceedings{BUT34223,
  author="Lukáš {Smital}",
  title="Wavelet Filtering of ECG Signals Using Pilot Estimation",
  annote="The paper deals with methods of denoising of ECG signals via wavelet transform. We focus on the method of pilot estimation. Our aim is to find optimal setting of input parameters for denoising in consideration of achieved signal-to-noise ratio (SNR) in output and deformation of output signal. Finally we present rules and recommendations which are needed to adhere to get quality results.",
  booktitle="Proceedings of the 15th Conference STUDENT EEICT 2009",
  chapter="34223",
  howpublished="print",
  year="2009",
  month="april",
  pages="363--367",
  type="conference paper"
}