Deans' stroke musings: Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke

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.

Friday, April 17, 2020

Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke

I got nothing out of the abstract because the robotic used was not mentioned. Without that I can't even tell my therapists and doctor what to bring in. Useless. Hope you know what intraclass correlation coefficient means and the number associated with it.

Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke

Journal of NeuroEngineering and Rehabilitation , Volume 17(1)

NARIC Accession Number: J83131. What's this?
ISSN: 1743-0003.
Author(s): Germanotta, Marco ; Gower, Valerio ; Papadopoulou, Dionysia ; Cruciani, Arianna ; Pecchioli, Cristiano ; Mosca, Rita ; Speranza, Gabriele ; Falsini, Catuscia ; Cecchi, Francesca ; Vannetti, Federica ; Montesano, Angelo ; Galeri, Silvia ; Gramatica, Furio ; Aprile, Irene.
Publication Year: 2020.
Number of Pages: 10.
Abstract: Study assessed the reliability, validity, and discriminant ability of the indices provided by a robotic device for hand rehabilitation in 120 patients with stroke and 40 control subjects. Clinical evaluation included finger flexion and extension strength using the Medical Research Council (MRC), finger spasticity using the Modified Ashworth Scale (MAS), and motor control and dexterity during activities of daily living using the Frenchay Arm Test (FAT). Robotic evaluations included finger flexion and extension strength, muscle tone at rest, and instrumented MAS and Modified Tardieu Scale. Subjects were evaluated twice, one day apart, to assess the test-retest reliability of the robotic measures, using the intraclass correlation coefficient (ICC). To estimate the response stability, the standard errors of measurement and the minimum detectable change (MDC) were also calculated. Validity was assessed by analyzing the correlations between the robotic metrics and the clinical scales, using Spearman’s correlation coefficient (r). Finally, the ability of the robotic measures to distinguish between patients with stroke and healthy subjects was investigated by means of Mann-Whitney U tests. All the investigated measures were able to discriminate patients with stroke from healthy subjects. Test-retest reliability was found to be excellent for finger strength (in both flexion and extension) and muscle tone, with ICCs higher than 0.9. MDCs were equal to 10.6 N for finger flexion, 3.4 N for finger extension, and 14.3 N for muscle tone(Don't use the word tone, it sounds too benign, spasticity sounds like it needs to be solved.). Conversely, test-retest reliability of the spasticity measures was poor. Finally, finger strength (in both flexion and extension) was correlated with the clinical scales (r of about 0.7 with MRC, and about 0.5 with FAT). Findings indicate that finger strength and muscle tone, as provided by a robotic device for hand rehabilitation, are reliable and sensitive measures. Moreover, finger strength is strongly correlated with clinical scales.
Descriptor Terms: DEXTERITY, EVALUATION TECHNIQUES, LIMBS, MOTOR SKILLS, MUSCLES, PERFORMANCE STANDARDS, REHABILITATION TECHNOLOGY, ROBOTICS, SPASTICITY, STROKE.

Can this document be ordered through NARIC's document delivery service*?: Y.
Get this Document: https://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-019-0634-5.

Citation: Germanotta, Marco , Gower, Valerio , Papadopoulou, Dionysia , Cruciani, Arianna , Pecchioli, Cristiano , Mosca, Rita , Speranza, Gabriele , Falsini, Catuscia , Cecchi, Francesca , Vannetti, Federica , Montesano, Angelo , Galeri, Silvia , Gramatica, Furio , Aprile, Irene. (2020). Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke. Journal of NeuroEngineering and Rehabilitation , 17(1) Retrieved 4/17/2020, from REHABDATA database.