Deans' stroke musings: Relationship Between Clinical Measures of Upper Limb Movement Quality and Activity Poststroke

Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Saturday, June 15, 2019

Relationship Between Clinical Measures of Upper Limb Movement Quality and Activity Poststroke

You mean objective measurement of movement is not available from any of these? Must stroke survivors take charge and explain how to do stroke research since you are not keeping up-to-date in your chosen field? And neither are your mentors and senior researchers. Firings must take place.

accelerometers (24 posts to June 2013)

accelerometry (4 post to February 2012)

Inertial Motion Capture Systems (2)

motion analysis (4 post to April 2013)

motion captu/re (7 post to March 2013)

motion capture software (1 post to July 2017)

motion capture system (3 post to June 2013)

Motion Pattern Tracking (1 to January 2016)

motion sensors (12 posts to August 2012)

motion tracking (2 post to December 2015)

motion-capture sensors (1 post to May 2017)

Relationship Between Clinical Measures of Upper Limb Movement Quality and Activity Poststroke

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Mindy F. Levin, PhD*, Vimonwan Hiengkaew, Yongchai Nilanont, MD, ...

First Published May 10, 2019 Research Article

Abstract

Background. Understanding the relationship between movement quality (impairment) and performance (activity) in poststroke patients is important for rehabilitation intervention studies. This has led to an interest in kinematic characterization of upper limb motor impairment. Since instrumented motion analysis is not readily clinically available, observational kinematics may be a viable alternative.
Objective. To determine if upper limb movement quality during a reach-to-grasp task identified by observation could be used to describe the relationship between motor impairments and the time to perform functional tasks.
Methods. Cross-sectional, secondary analysis of baseline data from 141 participants with stroke, age 18 to 85 years, who participated in a multicenter randomized controlled trial. Clinical assessment of movement quality using the Reaching Performance Scale for Stroke (RPSS–Close and Far targets) and of performance (activity) from the Wolf Motor Function Test (WMFT–7 items) was assessed. The degree to which RPSS component scores explained scores on WMFT items was determined by multivariable regression.
Results. Clinically significant decreases (>2 seconds) in performance time for some of the more complex WMFT tasks involving prehension were predicted from RPSS–Close and Far target components. Trunk compensatory movements did not predict either increases or decreases in performance time for the WMFT tasks evaluated. Overall, the strength of the regression models was low.
Conclusions. In lieu of kinematic analysis, observational clinical movement analysis may be a valid and accessible method to determine relationships between motor impairment, compensations and upper limb function in poststroke patients. Specific relationships are unlikely to generalize to all tasks due to kinematic redundancy and task specificity.

Keywords stroke, motor control, upper limb, impairment, activity, redundancy