Computer system for identification and analysis of motor unit potential trains

• Autorzy: Mazurkiewicz Ł. , Piotrkiewicz M.
• Języki publikacji: EN

Abstrakty

EN

The paper presents a computerized system for identification and analysis of electromyographic signals recorded from muscle by needle electrodes. The system provides information on human motoneuron activity as time sequences of identified single motor unit potentials. This information can afterwards be statistically processed to obtain data on motoneuron properties in healthy subjects and in some neuromuscular diseases. A special attention has been paid to the description of the methods of spike identification, including extraction of spikes from the signal and automatic classification, which is based on the statistical pattern recognition approach. The system described is also an example of adaptation of modern computer technology for biomedical research.

Słowa kluczowe

EN

motoneuron; motor unit; neuromuscular diseases; spike classification; pattern recognition

PL

neuron ruchowy; rozpoznawanie obrazów; choroba nerwowo mięśniowa

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2004
• Tom: Vol. 24, no. 3
• Strony: 15--23
• Opis fizyczny: Bibliogr. 6 poz., rys., wykr.

Twórcy

autor

Mazurkiewicz Ł.

• Computer Engineering Departament, Technical University of Łódź, al. Politechniki 11, 90-924 Łódź, Poland

autor

Piotrkiewicz M.

• Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland

Bibliografia

• [1] Stalberg E. V., Sonoo M.: Assessment of variability in the shape of the motor unit action potential, the “jiggle”, at consecutive discharges. Muscle Nerve 1994, 17, 1135-1144.
• [2] Duda R.O., Hart P.E.: Pattern Classification and Scene Analysis, John Wiley and Sons, New York 1973.
• [3] Piotrkiewicz M.: An influence of afterhyperpolarization on the pattern of motoneuronal rhythmic activity. J. Physiol. (Paris), 1999, 93, 125-133.
• [4] Piotrkiewicz M., Kudina L., Hausmanowa-Petrusewicz I., Zhoukovskaya N. and Mierzejewska J.: Discharge properties and afterhyperpolarization of human motoneurons. Biocybernetics and Biomedical Engineering 2001, 21, 53-75.
• [5] Powers R. K. and Binder M. D.: Relationship between the time course of the afterhyperpolarization and discharge variability in cat spinal motoneurones. J. Physiol. (London) 2000, 528, 131-150.
• [6] Piotrkiewicz M., Hausmanowa-Petrusewicz I. and Mierzejewska J.: Are motoneurons involved in muscular dystrophy? Clin. Neurophysiol., 1999, 110, 1111-1122.