The interference spectrum extraction of a gait characteristics data record

• Autorzy: Chandzlik S. , Piecha J.
• Języki publikacji: EN

Abstrakty

EN

The paper shows several aspects of the gait data record analysis describing neurological diseases. The diagnosis of the gait abnormalities concerns interferences level of the patient physiological records. The disease source and level can be classified by the relevant interference functions. These functions were used for artificial records creation to multiply the necessary set of data needed for neural network training.

Słowa kluczowe

EN

neural network training; gait analysis; gait disturbances; hemiparesis diagnosis; Parkinson's disease diagnosis

PL

szkolenia sieci neuronowych; analiza chodu; zaburzenia chodu; rozpoznanie niedowładu połowicznego; rozpoznanie choroby Parkinsona

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2004
• Tom: Vol. 7
• Strony: KB23--32
• Opis fizyczny: Bibliogr. 9 poz., rys., tab.

Twórcy

autor

Chandzlik S.

• University of Silesia, Institute of Informatics, Dept. of Computer Systems, Sosnowiec, Poland

autor

Piecha J.

• Silesian University of Technology, Faculty of Transport, Department of Transport Informatics, Katowice, Poland

Bibliografia

• 1. 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.
• 2. CHANDZLIK S., PIECHA J.: The body balance measures for neurological disease estimation and classification. Journal of Medical Informatics & Technologies. Vol. 6, pp: IT-87 – IT-94. ISSN 1642-6037, 2003.
• 3. CHANDZLIK S., PIECHA J.: A patient walk-data-record modelling using a spline interpolation method. Journal of Medical Informatics & Technologies. Vol. 3, pp: MIT-153 – MIT-160. ISSN 1642-6037, 2002.
• 4. KOPICERA K., PIECHA J.: The fuzzy estimation unit of foot-print abnormality recognition. Journal of Medical Informatics & Technologies. Vol. 2, pp: MI183 – MI188. ISSN 1642-6037, 2001.
• 5. KOPICERA K., PIECHA J., ZYGUŁA J.: The neural networks in diagnostics support for PSW system. Proc. of Int. Conference ASIS’99, pp. 113-118, Krnov, 1999.
• 6. PIECHA J.: The neural network conclusion-making system for foot abnormality recognition. Proceedings of IMACS World Congress, Lausanne, Switzerland, August 2000.
• 7. PIECHA J.: The neutral network selection for a medical diagnostic system using an artificial data set. Journal of Computing and Information Technology CIT, Vol.9, pp. 123-132, ISSN: 1330-1136, 2001.
• 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., PIECHA J,. JARZĄBEK-STĘPNIAK A.: The gait pattern detection in PSW records of the acute sciatic neuralgia. Proc. on KOSYR’01, pp. 29-36, ISBN 83-911675-2-6, 2001.