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Classification of Finger Movements for the Dexterous Hand Prosthesis Control With Surface Electromyography

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Abstract—A method for the classification of finger movements for dexterous control of prosthetic hands is proposed. Previous research was mainly devoted to identify hand movements as these actionsgeneratestrongelectromyography(EMG)signalsrecorded from the forearm. In contrast, in this paper, we assess the use of multichannel surface electromyography (sEMG) to classify individual and combined finger movements for dexterous prosthetic control. sEMG channels were recorded from ten intact-limbed andsixbelow-elbowamputeepersons.Offlineprocessingwasused to evaluate the classification performance. The results show that high classification accuracies can be achieved with a processing chainconsistingoftimedomain-autoregressionfeatureextraction, orthogonal fuzzy neighborhood discriminant analysis for feature reduction, and linear discriminant analysis for classification. We showthatfingerandthumbmovementscanbedecodedaccurately with high accuracy with latencies as short as 200 ms. Thumb abduction was decoded successfully with high accuracy for six amputee persons for the first time. We also found that subsets of six EMG channels provide accuracy values similar to those computed with the full set of EMG channels (98% accuracy over ten intactlimbedsubjectsfortheclassificationof15classesofdifferentfinger movements and 90% accuracy over six amputee persons for the classification of 12 classes of individual finger movements). These accuracy values are higher than previous studies, whereas we typically employed half the number of EMG channels per identified movement.

Index Terms—Electromyography, linear discriminant analysis (LDA), pattern recognition, prosthetic hand.

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS., 2013

Deskripsi Fisik

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 3, MAY 2013 p. 608-618

Bahasa

English

ISBN/ISSN

2168-2194

Klasifikasi

NONE

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

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Info Detail Spesifik

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Pernyataan Tanggungjawab

Ali H. Al-Timemy ... [et al.]

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