MOSKA: Software for Analysis of Motor Control

Authors

  • Marcelo Da Silva Hounsell Santa Catarina State University
  • Tânia Brusque Crocetta Santa Catarina State University
  • Débora Cristine Xavier Santa Catarina State University
  • Eloisa Volpato Heidemann Santa Catarina State University
  • Alexandro Andrade Santa Catarina State University

Keywords:

Motor Rehabilitation, Fine Motor Control, Interface

Abstract

This paper presents a software application called MOSKA (MOtor SKill Analyser), which aims to help diagnosis and monitoring of patients with problems of fine motor control. The software uses various advanced interface methods and has various measurements as test results. The measures taken were defined and validated in a previous software proposal. These measures and all of the test section information are recorded into a database that allows the analysis of the patient evolution. Major features, software project structures and development steps of MOSKA will be detailed.


References

Lewis GN, Byblow WD (2004) Bimanual coordination dynamics in poststroke hemiparetics. J Mot Behav, 36(2), 174-188.

Cacho EWAC, Melo FRLV, Oliveira R (2004) Assessment of motor recovery of hemiplegic patients through the protocol of physical performance Fulg-Meyer. Revista Neurociências, 12(2), 94-102.

Shumway-Cook A, Woollacott MH (2003) Motor control (M. d. L. Gianini, Trans. 2 ed.). Barueri, SP - Brazil: Manole.

Teixeira LA (2006) Motor control. Barueri, SP - Brazil: Manole.

Andrade A, Jardim LJL, Silveira CI, Borges Junior NG (2003) Learning and motor control evaluation software: application to discrete fine and closed motor skills. Paper presented at the X Congresso Brasileiro de Biomecânica, Ouro Preto, MG, Brazil.

Jardim LJL (2008) Designing a system for evaluation of learning and motor control: application for fine discrete and closed upper motor skills. Santa Catarina State University, Florianópolis, SC - Brazil.

Sanches SO (2007) Motor ControlDepression in Women with Fibromyalgia Syndrome. Santa Catarina State University, Florianópolis, SC - Brazil.

Xavier DC, Crocetta TB, Andrade A, Hounsell MS (2009) Using Augmented Reality in Motor Control Analysis. Paper presented at the I Simpósio de Computação Aplicada, Passo Fundo, RS - Brazil.

Magill RA (2000) Motor learning: concepts and applications (A. M. d. Costa, Trans.). São Paulo - Brazil: E. Blucher.

Schmidt RA, Wrisberg CA (2010) Motor learning and performance (R. D. d. S. Petersen, Trans. 4 ed.). Porto Alegre, RS - Brazil: Artmed.

Eckhouse RH, Maulucci RA (1997) A multimedia system for augmented sensory assessment and treatment of motor disabilities. Telematics and Informatics, v. 14, n. 1, p. 67-82. ISSN 0736-5853. Disponível em: < http://www.sciencedirect.com/science/article/pii/S0736585396000196 >.

Horstmann CS, Cornell G (2001) Core Java 2 - Volume I - Fundamentals (Vol. I). São Paulo - Brazil: Makron Books.

Yarger RJ, Reese G, King T (2000) MySQL & mSQL (V. P. Marinho, Trans.). Rio de Janeiro - Brazil: Ciência Moderna.

Cougo PS (1997) Conceptual Modeling and Database Design (18 ed.). Rio de Janeiro - Brazil: Campus - Elsevier.

Gonçalves VP (2008) Learning and motor control evaluation software to hemiparetic subjects: validity and reliability. Santa Catarina State University, Florianópolis, SC - Brazil.

Downloads

Published

2013-06-19

How to Cite

Hounsell, M. D. S., Crocetta, T. B., Xavier, D. C., Heidemann, E. V., & Andrade, A. (2013). MOSKA: Software for Analysis of Motor Control. Asian Journal of Applied Sciences, 1(2). Retrieved from https://www.ajouronline.com/index.php/AJAS/article/view/134

Issue

Section

Articles