Human upper limb motion analysis for post-stroke impairment assessment using video analytics

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Stroke is a worldwide healthcare problem which often causes long-term motor impairment, handicap, and disability. Optical motion analysis systems are commonly used for impairment assessment due to high accuracy. However, the requirement of equipment-heavy and large laboratory space together with operational expertise, makes these systems impractical for local clinic and home use. We propose an alternative, cost-effective and portable, decision support system for optical motion analysis, using a single camera. The system relies on detecting and tracking markers attached to subject's joints, data analytics for calculating relevant rehabilitation parameters, visualization, and robust classification based on graph-based signal processing. Experimental results show that the proposed decision support system has the potential to offer stroke survivors and clinicians an alternative, affordable, accurate and convenient impairment assessment option suitable for home healthcare and tele-rehabilitation.
LanguageEnglish
Pages650-659
Number of pages10
JournalIEEE Access
Volume4
Early online date1 Feb 2016
DOIs
Publication statusPublished - 10 Mar 2016

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Decision support systems
Patient rehabilitation
Signal processing
Visualization
Cameras
Costs
Motion analysis

Keywords

  • rehabilitation
  • video analytics
  • graph-based signal processing

Cite this

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title = "Human upper limb motion analysis for post-stroke impairment assessment using video analytics",
abstract = "Stroke is a worldwide healthcare problem which often causes long-term motor impairment, handicap, and disability. Optical motion analysis systems are commonly used for impairment assessment due to high accuracy. However, the requirement of equipment-heavy and large laboratory space together with operational expertise, makes these systems impractical for local clinic and home use. We propose an alternative, cost-effective and portable, decision support system for optical motion analysis, using a single camera. The system relies on detecting and tracking markers attached to subject's joints, data analytics for calculating relevant rehabilitation parameters, visualization, and robust classification based on graph-based signal processing. Experimental results show that the proposed decision support system has the potential to offer stroke survivors and clinicians an alternative, affordable, accurate and convenient impairment assessment option suitable for home healthcare and tele-rehabilitation.",
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Human upper limb motion analysis for post-stroke impairment assessment using video analytics. / Yang, Cheng; Kerr, Andrew; Stankovic, Vladimir; Stankovic, Lina; Rowe, Philip; Cheng, Samuel.

In: IEEE Access, Vol. 4, 10.03.2016, p. 650-659.

Research output: Contribution to journalArticle

TY - JOUR

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AU - Yang, Cheng

AU - Kerr, Andrew

AU - Stankovic, Vladimir

AU - Stankovic, Lina

AU - Rowe, Philip

AU - Cheng, Samuel

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