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  1. Journal of Applied Sciences
  2. Vol 9 (8), 2009
  3. 1412-1421
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Journal of Applied Sciences

Year: 2009 | Volume: 9 | Issue: 8 | Page No.: 1412-1421
DOI: 10.3923/jas.2009.1412.1421

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Authors


Maria Rizzi

Country: Italy

Matteo D�Aloia

Country: Italy

Beniamino Castagnolo

Country: Italy

Keywords


  • signal processing
  • peak detector
  • Wavelet transform
  • ICG
  • parallel computing
  • bioimpedance
Research Article

High Sensitivity and Noise Immune Method to Detect Impedance Cardiography Characteristic Points Using Wavelet Transform

Maria Rizzi, Matteo D�Aloia and Beniamino Castagnolo
In this study, a real-time fast parallelized processing technique for C-point locations is presented. Singularity detector adopting a multiscale wavelet transform is used for impedance cardiography signal processing. Both theoretical analysis and experimental results show the method reliability and sensitivity. Moreover, the algorithm noise immunity has been tested adding Gaussian noise with a variable variance to the real ICG signal. Test results with minimum interferences from noise and artefacts have been obtained.
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How to cite this article

Maria Rizzi, Matteo D�Aloia and Beniamino Castagnolo, 2009. High Sensitivity and Noise Immune Method to Detect Impedance Cardiography Characteristic Points Using Wavelet Transform. Journal of Applied Sciences, 9: 1412-1421.

DOI: 10.3923/jas.2009.1412.1421

URL: https://scialert.net/abstract/?doi=jas.2009.1412.1421

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