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Description and Classification of Respiratory Patterns with Multivariate Explorative Statistics

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Analyzing and Modeling Data and Knowledge

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Abstract

Point diagrams by pairs are well suited for a first classification of correlated data like the motor patterns of human beings. Characteristics of the individuals and their position within groups can thus be recognized without any disturbance by undesired correlations.

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References

  • GRAY, H. (1901), Anatomy, Descriptive and Surgical, Reprint 1974, eds. T.P. Pick and R. How-den, Running Press, Philadelphia, 355.

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  • HILDEBRANDT, J., and YOUNG, A.C. (1965), Anatomy and Physics of Respiration, in: Physiology and Biophysics, eds. T.C. Ruch and H.D. Patton, Saunders, Philadelphia, 733–760.

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  • KLEINER, B. (1983), Explorative Datenanalyse, SRÖS International Biometric Society, Basel, Bell Telephone Laboratories, Murray Hill, NJ.

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  • LANGER, M., LEDER, O., and KURZ, H. (1990), Documentation of Respiratory Patterns. Motography, Image Processing, Kinesiology, Acta Stereologica, 9/2, 163–168.

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  • LEDER, O., KURZ, H., and LANGER, M. (1990), Simple Devices for the Motography of Respiration, in: SPIE Vol 1395, eds. A. Gruen and E. Baltsavias, SPIE, Bellingham, WA, 781–785.

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Author information

Authors and Affiliations

  1. Anatomisches Institut, Albert-Ludwigs-Universität Freiburg, Albertstr. 17, 7800, Freiburg, Germany

    O. Leder & H. Kurz

Authors
  1. O. Leder
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  2. H. Kurz
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Editor information

Editors and Affiliations

  1. Lehrstuhl für Wirtschaftsinformatik III, Universität Mannheim, Schloß, D-6800, Mannheim, Germany

    Martin Schader

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© 1992 Springer-Verlag Berlin · Heidelberg

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Leder, O., Kurz, H. (1992). Description and Classification of Respiratory Patterns with Multivariate Explorative Statistics. In: Schader, M. (eds) Analyzing and Modeling Data and Knowledge. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46757-8_29

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  • DOI: https://doi.org/10.1007/978-3-642-46757-8_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54708-2

  • Online ISBN: 978-3-642-46757-8

  • eBook Packages: Springer Book Archive

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