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Intelligent frozen shoulder rehabilitation

Publication ,  Journal Article
Huang, MC; Lee, SH; Yeh, SC; Chan, RC; Rizzo, A; Xu, W; Wu, HL; Lin, SH
Published in: IEEE Intelligent Systems
January 1, 2014

Frozen shoulder, or adhesive capsulitis, which reportedly affects 2â5 percent of the general population, is a shoulder condition characterized by painful and limited active and passive range of motion. The main treatment involves applying proper shoulder exercises and joint mobilization to break up adhesions at the joint capsules and improve joint mobility and functions. However, due to a lack of persistence, not all patients complete rehabilitation. To address this concern, this study focused on providing interactive treatments to encourage patients to participate in regular rehabilitation. Patients can inquire freely about their rehabilitation progress with real-time sensing and game-based feedback. In addition, six progressive and hierarchical training tasks make each training step adjustable based on the patient's physical condition. The authors used standard randomized clinical trial criterion to recruit 40 patients for a sequence of trials over a four-week period. The evaluation of the study group revealed that shoulder joint mobility and muscle strength of the patients significantly improved compared to that achieved by the traditional rehabilitation method. © 2014 IEEE.

Duke Scholars

Published In

IEEE Intelligent Systems

DOI

ISSN

1541-1672

Publication Date

January 1, 2014

Volume

29

Issue

3

Start / End Page

22 / 28

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
  • 40 Engineering
  • 0906 Electrical and Electronic Engineering
  • 0806 Information Systems
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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ICMJE
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Huang, M. C., Lee, S. H., Yeh, S. C., Chan, R. C., Rizzo, A., Xu, W., … Lin, S. H. (2014). Intelligent frozen shoulder rehabilitation. IEEE Intelligent Systems, 29(3), 22–28. https://doi.org/10.1109/MIS.2014.35
Huang, M. C., S. H. Lee, S. C. Yeh, R. C. Chan, A. Rizzo, W. Xu, H. L. Wu, and S. H. Lin. “Intelligent frozen shoulder rehabilitation.” IEEE Intelligent Systems 29, no. 3 (January 1, 2014): 22–28. https://doi.org/10.1109/MIS.2014.35.
Huang MC, Lee SH, Yeh SC, Chan RC, Rizzo A, Xu W, et al. Intelligent frozen shoulder rehabilitation. IEEE Intelligent Systems. 2014 Jan 1;29(3):22–8.
Huang, M. C., et al. “Intelligent frozen shoulder rehabilitation.” IEEE Intelligent Systems, vol. 29, no. 3, Jan. 2014, pp. 22–28. Scopus, doi:10.1109/MIS.2014.35.
Huang MC, Lee SH, Yeh SC, Chan RC, Rizzo A, Xu W, Wu HL, Lin SH. Intelligent frozen shoulder rehabilitation. IEEE Intelligent Systems. 2014 Jan 1;29(3):22–28.

Published In

IEEE Intelligent Systems

DOI

ISSN

1541-1672

Publication Date

January 1, 2014

Volume

29

Issue

3

Start / End Page

22 / 28

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
  • 40 Engineering
  • 0906 Electrical and Electronic Engineering
  • 0806 Information Systems
  • 0801 Artificial Intelligence and Image Processing