Identification of Stimulated Sites Using Artificial Neural Networks Based on Transcranial Magnetic Stimulation-Elicited Motor Evoked Potentials and Finger Forces-Reference-Cited by-同舟云学术

Identification of Stimulated Sites Using Artificial Neural Networks Based on Transcranial Magnetic Stimulation-Elicited Motor Evoked Potentials and Finger Forces

Published:2010 Issue:12 Volume:130 Page:2204-2209
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Fukuda Hiroshi¹,Odagaki Masato¹,Hiwaki Osamu¹

Affiliation:

1. Graduate School of Information Sciences, Hiroshima City University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

http://www.jstage.jst.go.jp/article/ieejeiss/130/12/130_12_2204/_pdf

Reference12 articles.

1. Delay in simple reaction time after focal transcranial magnetic stimulation of the human brain occurs at the final motor output stage

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3. (3) M. Odagaki, S. Ohishi, H. Fukuda, and O. Hiwaki : “Suppression of electromyogram of hand muscle elicited by transcranial magnetic stimulation”, IEEE Trans. Mag., Vol. 44, No. 11, pp. 4545-4548 (2008)

4. (4) O. Hiwaki, M. Odagaki, H. Fukuda, A. Kodabashi, and T. Fujimoto : “Modification of motor evoked potentials caused by electrical peripheral nerve stimulation in transcranial magnetic stimulation”, IEEE Trans. Mag., Vol. 44, No. 11, pp. 4440-4443 (2008)

5. (5) M. Odagaki, H. Fukuda, and O. Hiwaki : “Effect of transcranial magnetic stimulation on force of finger pinch”, J. Appl. Phys., Vol. 105, pp. 07B307-1-3 (2009)