Abstract
A methodology is presented to analyse multidimensional signals from several recording periods resulting from an experimental study on human or other living systems. The methodology is divided into two stages: intra-period analysis and inter-period analysis. The purpose of the first stage is to highlight general trends in multidimensional signal changes and the more informative components of the signals. The purpose of the second stage is to assess the influence of environmental or individual difference factors on a given signal component that appears to be discriminant in the first stage. To take into account the multivariable state of the system and the multi-observational aspect, a multidimensional descriptive statistical approach is used. The methods are correspondence analysis and hierarchical clustering. They are illustrated through an occupational medicine application from a study of sedentary posture.
Similar content being viewed by others
References
Asselin de Beauville, J. P. (1983): ‘L'estimation des modes d'une densité de probabilité multidimensionnelle’,Statistiques Analyses Donnees,8, (7), pp. 16–40
Barbier, F., Loslever, P., andAngue, J. C. (1994): ‘Méthode informatisée de mesure et d'analyse des forces de réaction et des angles articulaires de la marche normale’,Innovation Technologie Biologie Médecine,15, (4), pp. 449–462
Benzecri, J. P. (1973): ‘Traité d'analyse des données: l'analyse des correspondances’ (Dunod, Paris)
Benzecri, J. P. (1992): ‘Correspondence analysis handbook’, (Marcel Dekker, New York)
Benzecri, J. P. (1988): ‘Analyse spectrale et analyse statistique de la voix humaine parlée’,Cahiers l'Analyse des Données,8, (1), pp. 99–130
Brossier, G. (1986): ‘Problèmes de représentation de données par des arbres’. State Doctorate thesis, University of Haute-Bretagne, Rennes 2 France
Challis, R. E., andKitney, R. I. (1990): ‘Biomedical signal processing. Part 1: Time-domain methods’,Med. Biol. Eng. Comput.,28, pp. 509–524
Challis, R. E., andKitney, R. I. (1991a): ‘Biomedical signal processing. Part 2: The frequency transforms and their interrelationships’, ——ibid.,,29, pp. 1–17
Challis, R. E., andKitney, R. I. (1991b). ‘Biomedical signal processing. Part 3: The power spectrum and coherence function’, ——ibid.,,29, pp. 225–241
Derham, C. (1980): ‘La classification hiérarchique ascendante selon la méthode des voisins réciproques’,Cahiers l'Analyse Données,5, (2), pp. 135–144
Duchene, J. (1983): ‘Développement de méthods de décision sur un ensemble de tableaux. Application au traitement d'electromyogrammes lors d'épreuves de fatigue’. State Doctorate thesis, University of Compiègne, France
Escola, H., Poiseau, E., Jobert, M., andGaillard, P. (1991): ‘Classification using distance-based recognition-application to the analysis of EEG signal's,Pattern Recog. Lett.,12, (6), pp. 327–334
Fu, K. (1986): ‘Syntactic pattern recognition’in Young, T. Y., andFu, K. (Eds.): ‘Handbook of pattern recognition and image processing’ (Academic Press, Inc.) pp. 85–117
Fugunaga, K. (1986): ‘Statistical pattern classification’in Young, T. Y., andFu, K. (Eds): ‘Handbook of pattern recognition and image processing’ (Academic Press, Inc.) pp. 3–32
Gallego, F. J. (1982): ‘Codage flou en analyse des correspondances’,Cahiers l'Analyse Données,7, (4), pp. 413–430
Greenacre, M. J., andHastie, T. (1987): ‘The geometric interpretation of correspondence analysis’,J. Am. Stat. Assoc.,82, pp. 437–447
Hartigan, J. A. (1975): ‘Clustering algorithms’ (Wiley, Inc.)
Jain, A. K. (1986): ‘Cluster analysis’in Young, T. Y., andFu, K. (Eds.): ‘Handbook of pattern recognition and image processing’ (Academic Press, Inc.) pp. 33–57
Johnson, R. A., andWichern, D. W. (1992): ‘Applied multivariate statistical analysis’ (Prentice-Hall International)
Kebab, A. (1992): ‘Mise au point d'une plate-forme expérimentale d'analyse de la posture. Application à la conception ergonomique du poste de travail bureautique’. PhD Thesis, Valenciennes University, France
Lerman, L. C. (1982): ‘Classification et analyse ordinale des données’ (Dunod, Paris)
Loslever, P. (1988): ‘Etude ergonomique du poste bureautique: approche par les méthodes multidimensionnelles d'analyse de données’. PhD Thesis, Valenciennes University, France.
Mead, R. (1988): ‘The design of experiments: statistical principles for practical application’ (Cambridge University Press)
Milligan, G. W. (1980): ‘An examination of the effect of six types of error perturbation on fifteen clustering algorithms’,Psychometrica,45, (3), pp. 325–342
Moles, A. A. (1990): ‘Les sciences de l'imprécis’ (Seuil, Paris)
Perot, C., Gaillard, P., andGoubel, F. (1987): ‘Task dependent behaviour of a bifunctional muscle: an approach by spectral analysis of surface EMG’,J. Biophysique Biomécanique,11, (33), pp. 99–103
Postaire, J. G., andVasseur, C. (1982): ‘A fast algorithm for non parametric density estimation’,IEEE Trans.,PAMI-4, (6), pp. 663–666
Rousseew, P. J. (1985): ‘A visual display for hierarchical classification’. Quatrièmes journées internationales: analyse des données et informatique, INRIA, October 1985, Versailles, France
Sayarh, H. (1991): ‘Contribution de l'analyse de données à l'étude locale et globale des signaux multidimensionnels: application à l'analyse des systèmes homme-machine’. PhD Thesis, Valenciennes University, France
Sayarh, H., andLoslever, P. (1993): ‘Classification de signaux multidimensionnels de posture d'un opérateur par un système de coupure automatique des dendogrammes’,Autom. Contr. Product. Syst. (APII),27–3, pp. 42–368
Zadeh, L. A. (1965): ‘Fuzzy sets’,Inform. Contr.,8, pp. 338–353
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Loslever, P., Lepoutre, F.X., Kebab, A. et al. Descriptive multidimensional statistical methods for analysing signals in a multifactorial biomedical database. Med. Biol. Eng. Comput. 34, 13–20 (1996). https://doi.org/10.1007/BF02637017
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02637017