Recognition of EMG signal patterns by neural networks

Yuji Matsumura, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu, Fumiaki Takeda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper tries to recognize EMG signals by using neural networks. The electrodes under the dry state are attached to wrists and then EMG is measured. These EMG signals are classified into seven categories, such as neutral, up and down, right and left, wrist to inside, wrist to outside by using a neural network. The NN learns FFT spectra to classify them. Moreover, we structuralized NN for improvement of the network. It is shown that our approach is effective to classify the EMG signals by means of computer simulations.

Original languageEnglish
Title of host publicationLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
EditorsV. Palade, R.J. Howlett, L. Jain
Pages623-630
Number of pages8
Volume2773 PART 1
Publication statusPublished - 2003
Externally publishedYes
Event7th International Conference, KES 2003 - Oxford, United Kingdom
Duration: 2003 Sep 32003 Sep 5

Other

Other7th International Conference, KES 2003
CountryUnited Kingdom
CityOxford
Period03/9/303/9/5

Fingerprint

Neural networks
Fast Fourier transforms
Electrodes
Computer simulation

ASJC Scopus subject areas

  • Hardware and Architecture

Cite this

Matsumura, Y., Mitsukura, Y., Fukumi, M., Akamatsu, N., & Takeda, F. (2003). Recognition of EMG signal patterns by neural networks. In V. Palade, R. J. Howlett, & L. Jain (Eds.), Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2773 PART 1, pp. 623-630)

Recognition of EMG signal patterns by neural networks. / Matsumura, Yuji; Mitsukura, Yasue; Fukumi, Minoru; Akamatsu, Norio; Takeda, Fumiaki.

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). ed. / V. Palade; R.J. Howlett; L. Jain. Vol. 2773 PART 1 2003. p. 623-630.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Matsumura, Y, Mitsukura, Y, Fukumi, M, Akamatsu, N & Takeda, F 2003, Recognition of EMG signal patterns by neural networks. in V Palade, RJ Howlett & L Jain (eds), Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). vol. 2773 PART 1, pp. 623-630, 7th International Conference, KES 2003, Oxford, United Kingdom, 03/9/3.
Matsumura Y, Mitsukura Y, Fukumi M, Akamatsu N, Takeda F. Recognition of EMG signal patterns by neural networks. In Palade V, Howlett RJ, Jain L, editors, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). Vol. 2773 PART 1. 2003. p. 623-630
Matsumura, Yuji ; Mitsukura, Yasue ; Fukumi, Minoru ; Akamatsu, Norio ; Takeda, Fumiaki. / Recognition of EMG signal patterns by neural networks. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). editor / V. Palade ; R.J. Howlett ; L. Jain. Vol. 2773 PART 1 2003. pp. 623-630
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