Deans' stroke musings: The best choice of oxygen cost prediction equation for computing post-stroke walking energy expenditure using an accelerometer

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.

Thursday, June 23, 2022

The best choice of oxygen cost prediction equation for computing post-stroke walking energy expenditure using an accelerometer

What EXACTLY the fuck good does this do is getting survivors recovered? I would have everyone involved fired including the researchers who should know better. Useless. The whole point of stroke research is to get survivors recovered, this does nothing towards that.

The best choice of oxygen cost prediction equation for computing post-stroke walking energy expenditure using an accelerometer

Neurorehabilitation and Neural Repair (NNR) , Volume 36(4-5) , Pgs. 298-305.

NARIC Accession Number: J88719. What's this?
ISSN: 1545-9683.
Author(s): Compagnat, Maxence; Salle, Jean-yves; Vinti, Maria; Joste, Romain; Daviet, Jean C..
Publication Year: 2022.
Number of Pages: 8.

Abstract:

Study assessed the validity of the different oxygen cost estimation equations available in the literature for calculating total energy expenditure (TEE) using an accelerometer during walking in individuals with stroke sequelae. Twenty-six individuals with stroke sequelae who were able to walk without human assistance were included. The TEE was calculated by multiplying the walking distance provided by an ActigraphGT3x accelerometer worn on the healthy ankle and the patient’s oxygen cost estimated from the selected prediction equations. The TEE values from each equation were compared to the TEE values measured by indirect calorimetry. The validity of the prediction methods was evaluated by Bland–Altman analysis (mean bias and limits of agreement values). Among the selected equations, those of Compagnat and Polese obtained the best validity parameters for the ActigraphGT3x and were the most consistent with the TEE values obtained using the manufacturer’s algorithm. Findings suggest that the Polese and Compagnat equations offer the best validity parameters in comparison with the criterion method. Using oxygen cost prediction equations is a promising approach to improving assessment of TEE by accelerometers in poststroke individuals.
Descriptor Terms: AMBULATION, DEVICES, MEASUREMENTS, METABOLISM, PHYSICAL EVALUATION, QUANTITATIVE ANALYSIS, STROKE.

Can this document be ordered through NARIC's document delivery service*?: Y.

Citation: Compagnat, Maxence, Salle, Jean-yves, Vinti, Maria, Joste, Romain, Daviet, Jean C.. (2022). The best choice of oxygen cost prediction equation for computing post-stroke walking energy expenditure using an accelerometer. Neurorehabilitation and Neural Repair (NNR) , 36(4-5), Pgs. 298-305. Retrieved 6/23/2022, from REHABDATA database.