Deans' stroke musings

Changing stroke rehab and research worldwide now.Time is Brain!Just think of all the trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 493 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:

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's quite disgusting that this information is not available from every stroke association and doctors group.
My back ground story is here:

Friday, August 26, 2016

Robot-aided assessment of lower extremity functions: a review

Are your therapists doing ANY objective measurements of your lower limb problems. Or are they using subjective crap like Timed Up and Go (TUG) Test
which doesn't look at quality of walking at all.
Or the various minute walking tests.
Or the Berg Balance Scale which I pretty much failed at in the standing on one leg category. Nothing in there was objective enough to help in your rehabilitation. We never worked on any of the testing categories to try to become better. So the test was totally useless. 
Once again proving that everything in stroke is still a clinical research project of one - YOU, and you never signed any release forms for that testing.

Robot-aided assessment of lower extremity functions: a review 

  • Serena MaggioniEmail authorView ORCID ID profile,
  • Alejandro Melendez-Calderon,
  • Edwin van Asseldonk,
  • Verena Klamroth-Marganska,
  • Lars Lünenburger,
  • Robert Riener and
  • Herman van der Kooij
Journal of NeuroEngineering and Rehabilitation201613:72
DOI: 10.1186/s12984-016-0180-3
Received: 8 January 2016
Accepted: 21 July 2016
Published: 2 August 2016


The assessment of sensorimotor functions is extremely important to understand the health status of a patient and its change over time. Assessments are necessary to plan and adjust the therapy in order to maximize the chances of individual recovery. Nowadays, however, assessments are seldom used in clinical practice due to administrative constraints or to inadequate validity, reliability and responsiveness. In clinical trials, more sensitive and reliable measurement scales could unmask changes in physiological variables that would not be visible with existing clinical scores.
In the last decades robotic devices have become available for neurorehabilitation training in clinical centers. Besides training, robotic devices can overcome some of the limitations in traditional clinical assessments by providing more objective, sensitive, reliable and time-efficient measurements. However, it is necessary to understand the clinical needs to be able to develop novel robot-aided assessment methods that can be integrated in clinical practice.
This paper aims at providing researchers and developers in the field of robotic neurorehabilitation with a comprehensive review of assessment methods for the lower extremities. Among the ICF domains, we included those related to lower extremities sensorimotor functions and walking; for each chapter we present and discuss existing assessments used in routine clinical practice and contrast those to state-of-the-art instrumented and robot-aided technologies. Based on the shortcomings of current assessments, on the identified clinical needs and on the opportunities offered by robotic devices, we propose future directions for research in rehabilitation robotics. The review and recommendations provided in this paper aim to guide the design of the next generation of robot-aided functional assessments, their validation and their translation to clinical practice.

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