Different Approaches to Model Relationship Between EMG Signals and Force Moments in Human Skeletal Muscle. Analysis for Diagnosis of Neuronmuscular Disorders

• Autorzy: Brzostowski, K. , Świątek, J.
• Języki publikacji: EN

Abstrakty

EN

In the paper five different models have been examined in order to test their ability to describe relationship between EMG and force moment generated by moving upper or lower limb. In system analysis point of view it can be utilised for diagnostic purpose i.e. conversing subjective methods using by physician to new one based on objective measured data.

Słowa kluczowe

EN

EMG-to-activation model; neural network; neuro-fuzzy models; ARMAX; human elbow; spasticity

• Czasopismo: Fundamenta Informaticae
• Rocznik: 2009
• Tom: Vol. 96, nr 4
• Strony: 465-475
• Opis fizyczny: Bibliogr. 5 poz., fot., wykr.

Twórcy

autor

Brzostowski, K.

autor

Świątek, J.

• Institute of Informatics, Faculty of Computer Science and Management, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland,

Bibliografia

• [1] Brzostowski, K., Drapała, J., Świątek, J.: How to replace inexact expert's knowledge by precise diagnostic system - assessment of internal state of human elbow neuromuscular system, Knowledge processing and reasoning for information society, 2008, 293-303.
• [2] Brzostowski, K., Drapała J., Świątek, J., Moskała, A.: Difference equations and neural networks as a diagnostic tools for human elbow neuromuscular system, Computer systems engineering. Theory and applications, 2007, 128-137.
• [3] Manal, K., Gonzales R.V., Lloyd, D.G., Buchanan, T.S.: A real-time EMG-driven virtual arm, Computational Biology and Medicine, 2002, 25-36.
• [4] Nells, O.: Nonlinear System Identification - From Classical Approaches to Neural Networks and Fuzzy Models, Springer-Verlag, Berlin, 2001.
• [5] Świątek, J.: Two-Stage identification and its biomedical and technical applications (in polish), Wydawnictwo Politechniki Wrocławskiej, Wrocław, 1987.