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, March 5, 2016

Low-Cost 3D Vision Based System for Post-Stroke Arm Rehabilitation using RGB-D Camera

You'l have to send your doctor after the details of what this is since our fucking failures of stroke associations don't have a database of research and the protocols/instruments used in research. Objective calculation of arm position is great.


Low-Cost 3D Vision Based System for Post-Stroke Arm Rehabilitation using RGB-D Camera

ABDULLA AL-KAFF1
UC3M - Universidad Carlos III de Madrid LSI - Laboratorio de Sistemas Inteligentes DISA - Departmento de Ingeniería de Sistemas y Automatica Avenida de la universidad 30, Leganés (28911), Madrid, Spain 1akaff@ing.uc3m.es
Abstract. In this paper, a low-cost marker less system based on RGB-D sensor was developed for rehabilitation purposes. The purpose of this system is to provide the physical therapist with the adequate data to characterize the arm motion in post-stroke rehabilitation, athletic injuries recovery or other possible human arm motion recording and analysis issues. The proposed system uses the Microsoft Kinect sensor to determine the motion of the patient arm. The 3D position of the joints (shoulder,elbow and wrist) and the centers of mass of arm segments (upper and forearm) are estimated during the motion. The system then calculates the velocities and energies expenditure by each segment of the arm. More data are estimated by the system such as the angles of each joint (shoulder and elbow) and the angular velocities of the arm segments, where these data are useful to help the therapist with a full overview in the analysis about the patient motion. With the help of these data, the therapist has the analysis of the arm, and comparing with the previous analysis of the patient arm motion, a relative performance can be estimated, allowing a quantitative evaluation of the recovery of the patient over series of exercises. Furthermore, as a part of the work, 3D Virtual Reality System (V RS) was developed. This 3D VRS can be a beneficial environment for learning a motor task and it is important in terms of the motion motivation, since it presented to the patient as a rewarded computer game.

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