Deans' stroke musings: Stochastic Estimation of Arm Mechanical Impedance During Robotic Stroke Rehabilitation

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.

Sunday, June 24, 2018

Stochastic Estimation of Arm Mechanical Impedance During Robotic Stroke Rehabilitation

You'll have to ask your doctor if anything was done with this in the last 11 years. I can see no use for this in getting you 100% recovered

Stochastic Estimation of Arm Mechanical Impedance During Robotic Stroke Rehabilitation

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Abstract:

This paper presents a stochastic method to estimate the multijoint mechanical impedance of the human arm suitable for use in a clinical setting, e.g., with persons with stroke undergoing robotic rehabilitation for a paralyzed arm. In this context, special circumstances such as hypertonicity and tissue atrophy due to disuse of the hemiplegic limb must be considered. A low-impedance robot was used to bring the upper limb of a stroke patient to a test location, generate force perturbations, and measure the resulting motion. Methods were developed to compensate for input signal coupling at low frequencies apparently due to human-machine interaction dynamics. Data was analyzed by spectral procedures that make no assumption about model structure. The method was validated by measuring simple mechanical hardware and results from a patient's hemiplegic arm are presented

Published in: IEEE Transactions on Neural Systems and Rehabilitation Engineering ( Volume: 15, Issue: 1, March 2007 )

Page(s): 94 - 103

Date of Publication: 12 March 2007

ISSN Information:

Print ISSN: 1534-4320

Electronic ISSN: 1558-0210

INSPEC Accession Number: 9370437

DOI: 10.1109/TNSRE.2007.891392

Publisher: IEEE

Sponsored by: IEEE Engineering in Medicine and Biology Society