A novel method for determination and representation the range of motion for the shoulder joint through its coordinate axis

J. A. Barraza-Madrigal, R. Munoz-Guerrero, L. Leija-Salas, P. Hernandez-Rodriguez, E. Cardiel-Perez, A. Demetrio-Villanueva

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work presents an algorithm for a shoulder model as a dynamic system to reproduce its movements. This proposal describes the range of motion of the shoulder through a coordinate system by using matrix rotation. Thus the shoulder motion is represented in a new coordinate system by a vector position. The reliability of the proposal algorithm was performed by making several tests on a healthy volunteer with a commercial optoelectronic motion analysis system. The results obtained with the commercial system were compared with those obtained with the proposed algorithm. The aim of this work is to create a unique and simplified equation to reproduce the evaluated movements open opportunities to be implemented on embedded devices.

Original languageEnglish
Title of host publication2013 Pan American Health Care Exchanges, PAHCE 2013 - Conference, Workshops, and Exhibits. Cooperation / Linkages
Subtitle of host publicationAn Independent Forum for Patient Care and Technology Support
DOIs
StatePublished - 2013
Externally publishedYes
Event8th Pan American Health Care Exchanges Conference, PAHCE 2013 - Medellin, Colombia
Duration: 29 Apr 20134 May 2013

Publication series

NamePan American Health Care Exchanges, PAHCE
ISSN (Print)2327-8161
ISSN (Electronic)2327-817X

Conference

Conference8th Pan American Health Care Exchanges Conference, PAHCE 2013
Country/TerritoryColombia
CityMedellin
Period29/04/134/05/13

Keywords

  • Range of motion
  • coordinate system
  • embedded devices
  • matrix rotation
  • vector position

Fingerprint

Dive into the research topics of 'A novel method for determination and representation the range of motion for the shoulder joint through its coordinate axis'. Together they form a unique fingerprint.

Cite this