Acquisition and analysis of EMG signals to recognize multiple hand movements for prosthetic applications

Giuseppina Gini, Matteo Arvetti, Ian Somlai, Michele Folgheraiter

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

One of the main problems in developing active prosthesis is how to control them in a natural way. In order to increase the effectiveness of hand prostheses there is a need in better exploiting electromyography (EMG) signals. After an analysis of the movements necessary for grasping, we individuated five movements for the wrist-hand mobility. Then we designed the basic electronics and software for the acquisition and the analysis of the EMG signals. We built a small size electronic device capable of registering them that can be integrated into a hand prosthesis. Among all the numerous muscles that move the fingers, we have chosen the ones in the forearm and positioned only two electrodes. To recognize the operation, we developed a classification system, using a novel integration of Artificial Neural Networks (ANN) and wavelet features.

Original languageEnglish
Pages (from-to)145-155
Number of pages11
JournalApplied Bionics and Biomechanics
Volume9
Issue number2
DOIs
Publication statusPublished - 2012
Externally publishedYes

Fingerprint

Electromyography
Prosthetics
Prostheses and Implants
Hand
Muscle
Electronic equipment
Neural networks
Wrist
Forearm
Electrodes
Fingers
Software
Equipment and Supplies
Muscles

Keywords

  • EMG signals
  • neural networks
  • pattern recognition
  • wavelet network

ASJC Scopus subject areas

  • Biomedical Engineering
  • Medicine (miscellaneous)
  • Biotechnology
  • Bioengineering

Cite this

Acquisition and analysis of EMG signals to recognize multiple hand movements for prosthetic applications. / Gini, Giuseppina; Arvetti, Matteo; Somlai, Ian; Folgheraiter, Michele.

In: Applied Bionics and Biomechanics, Vol. 9, No. 2, 2012, p. 145-155.

Research output: Contribution to journalArticle

Gini, Giuseppina ; Arvetti, Matteo ; Somlai, Ian ; Folgheraiter, Michele. / Acquisition and analysis of EMG signals to recognize multiple hand movements for prosthetic applications. In: Applied Bionics and Biomechanics. 2012 ; Vol. 9, No. 2. pp. 145-155.
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