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Estimation of muscle force with EMG signals using Hammerstein-Wiener model

Abbasi Asl, R ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. DOI: 10.1007/978-3-642-21729-6_42
  3. Publisher: 2011
  4. Abstract:
  5. Estimation of muscle force is needed for monitoring or control purposes in many studies and applications that include direct human involvement such as control of prosthetic arms and human-robot interaction. A new model is introduced to estimate the force of muscle from the EMG signals. Estimation is based on Hammerstein-Wiener Model which consists of three blocks. These blocks are used to describe the nonlinearity of input and output and linear behavior of the model. The nonlinear network is designed base on the sigmoid network. The introduced model is trained by some data sets which are recorded from different people and tested by some other data sets. The simulation results show low error rate between measured force and estimated force
  6. Keywords:
  7. Control purpose ; Data sets ; EMG signal ; Error rate ; Force estimation ; Hammerstein-Wiener models ; Input and outputs ; Linear behavior ; Muscle force ; New model ; Non-Linearity ; Prosthetic arm ; Simulation result ; Biomedical engineering ; Human computer interaction ; Human robot interaction ; Muscle ; Estimation
  8. Source: IFMBE Proceedings, 20 June 2011 through 23 June 2011 ; Volume 35 IFMBE , June , 2011 , Pages 157-160 ; 16800737 (ISSN) ; 9783642217289 (ISBN)
  9. URL: http://link.springer.com/chapter/10.1007%2F978-3-642-21729-6_42