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The body balance measures for neurological disease estimation and classification

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper describes body balance characteristics needed for neurological diseases classification and for rehabilitation processes controlling during patient recovery processes. These diagnosis factors allow simplify the PSW (Parotec System for Windows) records recognition [1, 2] then a walk-motor disturbances level estimation. The discussed clinical experiments illustrate new methods for Parkinson disease and stroke progress monitoring. This study was based on many observations of patient walk disturbances recorded in PSW files describing the pressure distribution on an insole set of sensors [1, 2, 8]. The gait regular asymmetry in a data spectrum has been noticed as an independent factor from the disease duration and its severity. In majority of analysed cases for Parkinson disease a gravity centre of the body moved into a heel region. Trajectories of foot gravity centre elongation, their irregularities, a floor-contact time and paresis limb loading values increase also were observed. The PSW system has successfully been used for recognition and quantification of walk-motor disturbances, marking the neurological diseases level. Options available in PSW [1, 2] give the user many aims in putting proper diagnosis anyhow, due to simplify the training process of conclusion making unit several methods for data records modifications and the diagnosis factors extraction were also considered.
Rocznik
Tom
Strony
IT87--94
Opis fizyczny
Bibliogr. 12 poz., rys., wykr.
Twórcy
autor
  • University of Silesia, Institute of Informatics, Dept. Computer Systems, Katowice, Poland
autor
  • Silesian University of Technology, Institute of Transport, Katowice, Poland
Bibliografia
  • [1] PIECHA J.: The neural network conclusion-making system for foot abnormality recognition. Proceedings of IMACS World Congress, Lausanne, Switzerland, August 2000,
  • [2] PIECHA J.: The neural network selection for a medical diagnostic system using an artificial data set, Journal of Computing and information Technology CIT, Vol. 9, No. 2, pp. 123-132. ISSN 1330-1136, Zagreb 2001, Croatia.
  • [3] CHANDZLIK S., KOPICERA K.: Experiments with neural network parameters - selection for Foot abnormalities Recognition, Journal of Medical Informatics & Technologies. Vol. 5, pp. CS-71 - CS-78. ISBN 83-909517-2-7, 2000.
  • [4] CLANE D.B.: Treatment of Parkinson Disease. New England J. Med. 1993. pp. 1021-1027.
  • [5] ZBROJKIEWICZ J., PAWEŁCZYK P., JARZĄBEK-STĘPNIAK A.: The hemiparetic patient's motor disturbances and the PSW options evaluation. Journal of Medical Informatics & Technologies. Vol. 5, pp. BI-45 - BI-50. ISBN 83-909517-2-7, 2000.
  • [6] KOPICERA K., PIECHA J., ZYGUŁA J.: The neural networks in diagnostics support for PSW system. Proc. of Int. Conference ASIS'99. Krnov, 1999, pp. 113-118.
  • [7] KOPICERA K., PIECHA J.: The fault analysis made by PSW data recorder for neurological disease classification, Journal of Medical Informatics & Technologies. Vol. 4, pp. SN-10 - SN-13. ISSN 1642-6037, 2002.
  • [8] PIECHA J., ZYGUŁA J., ŁYCZAK J., GAŹDZIK T., PROKSA J.: The advanced measuring system for orthopaedic pathologies diagnostics using a static and dynamic footprints, Chirurgia narządów ruchu i ortopedia polska vol. LXI 1996, suplement 3B, pp. 119-124. (in polish)
  • [9] ZBROJKIEWICZ J.S., PIECHA J.: Parkinson disease examination using walk disturbances characteristics. Journal of Medical Informatics & Technologies. Vol. 3, pp. MI-134 - MI-142. ISSN 1642-6037, 2002.
  • [10] GUTTMAN M.: COMT inhibition: New hopes in the management of Parkinsonian's therapy, Focus on Parkinson's Disease, 1995, 7: pp. 1-6.
  • [11] GOETZ C.G., DE LONG M.R., PENN R., BAKAY R.: Neurosurgical horizons in Parkinson's disease, Neurology 1993, 43, pp. 1-7.
  • [12] COLPAERT F.C.: Noradrenergic mechanisms in Parkinson's disease: A theory, Noradrenergic Mechanisms in Parkinson's Disease, CRC Press inc., Ann Arbor and London, 1994, pp. 225-254.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0020-0013
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