Time series prediction of knee joint movement and its application to a network-based rehabilitation system

Wenlong Zhang, Masayoshi Tomizuka, Joonbum Bae

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

7 Scopus citations

Abstract

In this paper, a network-based rehabilitation system is introduced for improved mobility and tele-rehabilitation. Time series of knee joint rotation measurement is obtained using the rehabilitation device in the system, and an autoregressive integrated (ARI) model is built to achieve knee joint angle prediction during the rehabilitation process. It is shown that the predicted knee joint angles are reliable over 10 future time steps. The ARI model and the predicted knee joint angles can provide insight to patients and therapists for deep understanding of patients' walking behaviors. Moreover, it is shown in this paper that the predicted knee joint angles can also be used to compensate for time delay and packet loss in the networked rehabilitation system to achieve accurate torque tracking. Simulation and experimental results are provided to demonstrate the performance of the proposed algorithm.

Original languageEnglish (US)
Title of host publication2014 American Control Conference, ACC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4810-4815
Number of pages6
ISBN (Print)9781479932726
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event2014 American Control Conference, ACC 2014 - Portland, OR, United States
Duration: Jun 4 2014Jun 6 2014

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2014 American Control Conference, ACC 2014
CountryUnited States
CityPortland, OR
Period6/4/146/6/14

Keywords

  • Biomedical
  • Networked control systems
  • Statistical learning

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Zhang, W., Tomizuka, M., & Bae, J. (2014). Time series prediction of knee joint movement and its application to a network-based rehabilitation system. In 2014 American Control Conference, ACC 2014 (pp. 4810-4815). [6859402] (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2014.6859402