Classification of elbow electromyography signals based on Directed Transfer Functions

Latif Rhonira, Saeid Sanei, Kianoush Nazarpour

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

5 Citations (Scopus)

Abstract

A new approach for classification of electromyography (EMG) of the flexion and extension signals is introduced here. Multivariate Autoregressive (MVAR) model has been applied to a two-channel set of EMG signals from the biceps and triceps muscles during flexion and exte nsion positions of the elbow. The MVAR coefficients are then used to define the Directed Transfer Function (DTF), which estimates the strength of the direction of the signals flow between the channels. The maximum strength of the DTF was used as the frequency domain features (training data) for EMG classification via support vector machine (SVM) algorithm. As the features obtained from the experiment uniquely describe the flexion and extension, the classifier becomes linear which lead to low level of misclassification. The overall method described here has a potential to detect and classify the type and level of muscular disorder from the way the muscle signals interact with each other.

Original languageEnglish
Title of host publicationBioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Pages371-374
Number of pages4
Volume2
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 - Sanya, Hainan, China
Duration: 27 May 200830 May 2008

Other

OtherBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
CountryChina
CitySanya, Hainan
Period27/5/0830/5/08

Fingerprint

Electromyography
Transfer functions
Muscle
Support vector machines
Classifiers
Experiments

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Biomedical Engineering

Cite this

Rhonira, L., Sanei, S., & Nazarpour, K. (2008). Classification of elbow electromyography signals based on Directed Transfer Functions. In BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 (Vol. 2, pp. 371-374). [4549198] https://doi.org/10.1109/BMEI.2008.135

Classification of elbow electromyography signals based on Directed Transfer Functions. / Rhonira, Latif; Sanei, Saeid; Nazarpour, Kianoush.

BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008. Vol. 2 2008. p. 371-374 4549198.

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

Rhonira, L, Sanei, S & Nazarpour, K 2008, Classification of elbow electromyography signals based on Directed Transfer Functions. in BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008. vol. 2, 4549198, pp. 371-374, BioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008, Sanya, Hainan, China, 27/5/08. https://doi.org/10.1109/BMEI.2008.135
Rhonira L, Sanei S, Nazarpour K. Classification of elbow electromyography signals based on Directed Transfer Functions. In BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008. Vol. 2. 2008. p. 371-374. 4549198 https://doi.org/10.1109/BMEI.2008.135
Rhonira, Latif ; Sanei, Saeid ; Nazarpour, Kianoush. / Classification of elbow electromyography signals based on Directed Transfer Functions. BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008. Vol. 2 2008. pp. 371-374
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