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Use of adaptive hilbert transformation for EEG segmentation and calculation of instantaneous respiration rate in neonates

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Abstract

Broad, as well as narrow, bandHilbert transform filters (HTFs) were used as preprocessing units in the analysis of electroencephalogram (EEG) and respiratory movements in neonates. For these applications, new algorithms for the adaptation of theresonance frequency of a narrow-band-pass filter to the actual signal properties on the basis of an analyticfilter design were developed.

For the segmentation of the discontinuousEEG, the location of the resonance frequency was imbedded into the learning algorithm of aneural network (NN). In such automatic EEG pattern recognition, the detection of spike activity was taken into consideration. The spike detection scheme introduced uses broad-band HTFs as basis units. Additionally, the algorithm for the continuous control of the resonance frequency was applied to achieve the adaptation of the processing unit that performed the calculation of the instantaneous respiration rate, in this framework, a new on-line method for adaptive frequency estimation that is less sensitive to lowsignal-to-noise ratios (SNRs) was obtained.

The new approaches introduced were tested in comparison with processing methods that have been established for the analysis of experimental and clinical data.

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Authors and Affiliations

  1. Instituge of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University, 3, D-07740, Jena, Jahnstraβe, Germany

    Matthias Arnold Dipl Math, Axel Doering Dipl Ing, Herbert Witte PhD & Jens Dörschel Dipl Ing

  2. Institute of Pathophysiology Medical Faculty, Friedrich Schiller University Jena, Jena, Germany

    Michael Eisel MD

Authors
  1. Matthias Arnold Dipl Math
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  2. Axel Doering Dipl Ing
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  3. Herbert Witte PhD
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  4. Jens Dörschel Dipl Ing
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  5. Michael Eisel MD
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Additional information

This study was supported by the German Federal Ministry of Research and Technology (Project: Clinic-Oriented Neurosciences) and by CEC (ESPRIT).

The authors are grateful to Dr. R. Bauer at the Institute of Pathophysiology, Friedrich Schiller University, who collected the data of respiratory movement from the newborn piglets.

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Arnold, M., Doering, A., Witte, H. et al. Use of adaptive hilbert transformation for EEG segmentation and calculation of instantaneous respiration rate in neonates. J Clin Monitor Comput 12, 43–60 (1996). https://doi.org/10.1007/BF02025311

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  • DOI: https://doi.org/10.1007/BF02025311

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