Picture of mobile phone running fintech app

Fintech: Open Access research exploring new frontiers in financial technology

Strathprints makes available Open Access scholarly outputs by the Department of Accounting & Finance at Strathclyde. Particular research specialisms include financial risk management and investment strategies.

The Department also hosts the Centre for Financial Regulation and Innovation (CeFRI), demonstrating research expertise in fintech and capital markets. It also aims to provide a strategic link between academia, policy-makers, regulators and other financial industry participants.

Explore all Strathclyde Open Access research...

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

Yang, Cheng and Kerr, Andrew and Stankovic, Vladimir and Stankovic, Lina and Rowe, Philip and Cheng, Samuel (2016) Human upper limb motion analysis for post-stroke impairment assessment using video analytics. IEEE ACCESS, 4. pp. 650-659.

[img]
Preview
Text (Yang-IEEEA2016-human-upper-limb-motion-analysis-for-post-stroke-impairment-assessment)
Yang_IEEEA2016_human_upper_limb_motion_analysis_for_post_stroke_impairment_assessment.pdf
Accepted Author Manuscript

Download (14MB) | Preview

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.