https://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-017-0272-8
- Andrew Centen,
- Catherine R. Lowrey,
- Stephen H. Scott,
- Ting-Ting Yeh and
- George MochizukiEmail author
Journal of NeuroEngineering and Rehabilitation201714:59
DOI: 10.1186/s12984-017-0272-8
© The Author(s). 2017
Received: 11 January 2017
Accepted: 7 June 2017
Published: 19 June 2017
Abstract
Background
Spasticity is a common sequela
of stroke. Traditional assessment methods include relatively coarse
scales that may not capture all characteristics of elevated muscle tone.
Thus, the aim of this study was to develop a tool to quantitatively
assess post-stroke spasticity in the upper extremity.
Methods
Ninety-six healthy individuals
and 46 individuals with stroke participated in this study. The
kinematic assessment of passive stretch (KAPS) protocol consisted of
passive elbow stretch in flexion and extension across an 80° range in 5
movement durations. Seven parameters were identified and assessed to
characterize spasticity (peak velocity, final angle, creep (or release),
between-arm peak velocity difference, between-arm final angle,
between-arm creep, and between-arm catch angle).
Results
The fastest movement duration
(600 ms) was most effective at identifying impairment in each parameter
associated with spasticity. A decrease in peak velocity during passive
stretch between the affected and unaffected limb was most effective at
identifying individuals as impaired. Spasticity was also associated with
a decreased passive range (final angle) and a classic ‘catch and
release’ as seen through between-arm catch and creep metrics.
Conclusions
The KAPS protocol and robotic
technology can provide a sensitive and quantitative assessment of
post-stroke elbow spasticity not currently attainable through
traditional measures.
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