A multi-parameter assessment tool for upper limb motion in neurorehabilitation

Lu Bai, Matthew G. Pepper, Yong Yan, Sarah K. Spurgeon, Mohamed Sakel, Malcolm Phillips

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper a system utilizing inertial sensors for the 3D tracking of upper limb movement in neuro-rehabilitation is presented. Both inertial tracking and kinematic modeling algorithms are adopted in the motion monitoring system. Experiments are carried out to evaluate the performance of the tracking system. The results show that the system is capable of providing accurate displacement measurements of upper limb movement when the kinematic model is applied. This system can measure position to within 0.5 cm over a period of 25 seconds estimated through the kinematic modeling.

Original languageEnglish
Title of host publication2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Proceedings
Pages21-24
Number of pages4
DOIs
Publication statusPublished - 25 Aug 2011
Event2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Binjiang, Hangzhou, China
Duration: 10 May 201112 May 2011

Publication series

Name2011 IEEE International Instrumentation and Measurement Technology Conference
PublisherIEEE
ISSN (Print)1091-5281
ISSN (Electronic)1091-5281

Conference

Conference2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011
CountryChina
CityBinjiang, Hangzhou
Period10/05/1112/05/11

Keywords

  • 3D motion tracking
  • inertial sensors
  • inertial tracking
  • kinematic modeling
  • motion monitoring
  • upper limb motion

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  • Cite this

    Bai, L., Pepper, M. G., Yan, Y., Spurgeon, S. K., Sakel, M., & Phillips, M. (2011). A multi-parameter assessment tool for upper limb motion in neurorehabilitation. In 2011 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2011 - Proceedings (pp. 21-24). [5944169] (2011 IEEE International Instrumentation and Measurement Technology Conference). https://doi.org/10.1109/IMTC.2011.5944169