PREDICTION OF THE THUMB FINGURE EXTENSOR AND FLEXOR MUSCLES DESIRED ACTIVATION PATTERN DURING HAND WRITING AND PAINTING USING NEURAL NETWORKS (RESEARCH NOTE)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

AHMADZADEH S.; KOBRAVI H.R.; TOSIZADEH S.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING Year:2014 | Volume:8 | Issue:3 Page(s): 293-304

Download Full-Text

Persian Verion

View:

638

Download:

Cites:

Information Journal Paper

Title

PREDICTION OF THE THUMB FINGURE EXTENSOR AND FLEXOR MUSCLES DESIRED ACTIVATION PATTERN DURING HAND WRITING AND PAINTING USING NEURAL NETWORKS (RESEARCH NOTE)

Author(s)

AHMADZADEH S. | KOBRAVI H.R. | TOSIZADEH S. | Issue Writer Certificate

Keywords

MUSCLE ACTIVATION PATTERNQ2

ARTIFITIAL NEURAL NETWORKSQ2

MOVEMENT RESTORATIONQ2

HAND WRITINGQ2

SURFACE ELECTROMYOGRAMQ2

Abstract

Multiple muscle groups may be activated simultaneously during the most of activities. So, the appropriate muscle coordination must be emerged during a normal activity. Consequaently, for rehabilitation of movements such as HAND WRITING and paiting in patients for example suffering from carpal channel syndrom or incomplete spinal cord injury, the correct muscle coordination patterns between the finger muscles and wrist muscles must be reestablished. So, in this paper a prediction methodology based on artificial neural networks (ANN) is proposed to approximate the Thumb fingure extensor and flexor muscles desired activation pattern during the HAND WRITING and Painting. In the presented strategy, A nonlinear auto-regressive neural network (NARX), Recurrent Neural Network (RNN), Radial Basis Function (RBF), Multy Layer Perceptron (MLP) and an Adaptive-network-based fuzzy inference system (ANFIS) are trained to forecast the Extensor pollicis longus and Flexor pollicis brevis muscles activity of one thumb finger of hand using Extensor carpi radialis brevis and Flexor carpi ulnaris muscles activity of forearm. Quantitative evaluations show the promising performance of developed neural networks. Eight healthy volunteers participated in the experiments.

Cites

No record.

References

No record.

Cite

APA: Copy

AHMADZADEH, S., KOBRAVI, H.R., & TOSIZADEH, S.. (2014). PREDICTION OF THE THUMB FINGURE EXTENSOR AND FLEXOR MUSCLES DESIRED ACTIVATION PATTERN DURING HAND WRITING AND PAINTING USING NEURAL NETWORKS (RESEARCH NOTE). IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING, 8(3), 293-304. SID. https://sid.ir/paper/81601/en

Vancouver: Copy

AHMADZADEH S., KOBRAVI H.R., TOSIZADEH S.. PREDICTION OF THE THUMB FINGURE EXTENSOR AND FLEXOR MUSCLES DESIRED ACTIVATION PATTERN DURING HAND WRITING AND PAINTING USING NEURAL NETWORKS (RESEARCH NOTE). IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING[Internet]. 2014;8(3):293-304. Available from: https://sid.ir/paper/81601/en

IEEE: Copy

S. AHMADZADEH, H.R. KOBRAVI, and S. TOSIZADEH, “PREDICTION OF THE THUMB FINGURE EXTENSOR AND FLEXOR MUSCLES DESIRED ACTIVATION PATTERN DURING HAND WRITING AND PAINTING USING NEURAL NETWORKS (RESEARCH NOTE),” IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING, vol. 8, no. 3, pp. 293–304, 2014, [Online]. Available: https://sid.ir/paper/81601/en

Related Journal Papers