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General Information
    • ISSN: 1793-8198 (Print)
    • Abbreviated Title: Int. J. Mater. Mech. Manuf.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMMM
    • Editor-in-Chief: Prof. K. M. Gupta; Prof. Ian McAndrew
    • Executive Editor: Cherry L. Chen
    • Abstracting/Indexing: EI (INSPEC, IET), Chemical Abstracts Services (CAS),  ProQuest, Crossref, Ulrich's Periodicals Directory,  EBSCO.
    • E-mail ijmmm@ejournal.net

Editor-in-chief
Prof. Ian McAndrew
Capitol Technology University, USA
It is my honor to be the editor-in-chief of IJMMM. I will do my best to work with the editorial team and help make this journal better.

IJMMM 2013 Vol.1(4): 350-354 ISSN: 1793-8198
DOI: 10.7763/IJMMM.2013.V1.76

Modification of Distinction Method of Abnormality for Surgical Operation on the Basis of Surface EMG Signals

Chiharu Ishii and Takanori Sato
Abstract—We have proposed a method for automatic identification of a surgical operation and on-line recognition of the singularity of the identified surgical operation based on operator’s surface electromyogram, so far [5]. In this paper, the method for on-line recognition of the singularity of the surgical operation is improved. Using the built laparoscopic-surgery simulator with two forceps, the automatic identification of a surgical operation for procedure of “suturing” and the distinction of the singularity for the identified surgical operation, namely "insertion of a needle" in suturing, were carried out. Experimental results showed the effectiveness of the improvement.

Index Terms—Surface EMG, distinction of singularity in operation, self-organizing map, surgical operation.

Chiharu Ishii is with the Department of Mechanical Engineering, Hosei University, Tokyo 184 -8584, Japan (e-mail: c-ishii@hosei.ac.jp). Takanori Sato is with the Master's Course, Major in Mechanical Engineering, Graduate School of Engineering, Hosei University, Tokyo 184 -8584, Japan (e-mail: takanori.sato.5t@stu.hosei.ac.jp).

[PDF]

Cite:Chiharu Ishii and Takanori Sato, "Modification of Distinction Method of Abnormality for Surgical Operation on the Basis of Surface EMG Signals," International Journal of Materials, Mechanics and Manufacturing vol. 1, no. 4, pp. 350-354, 2013.

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