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.

A Proposal of a Non-Intrusive, Global Movement Analysis of Hemiparesis Treatment

Finally someone who acknowledges that using subjective outcomes of therapy treatments is problematic.

A Proposal of a Non-Intrusive, Global Movement Analysis of Hemiparesis Treatment

Abstract

—Hemiparesis is the most disabling condition after
a stroke. Hemiparetic individuals suffer from a loss of muscle
strength on one side of the body, resulting in a decreased
capacity of performing movements. To assess the quality of
Physiotherapy treatment, rating scales are commonly used but
with the shortcoming of being subjective. With the aim of
developing a system that objectively outcomes how a hemiparetic
individual is responding to a Physiotherapy treatment, this paper
proposes a method to analyze human functional movement by
means of an apparatus comprised of multiple low-cost RGB-D
cameras. After extrinsically calibrating the cameras, the setup
system should be able to build a composite skeleton of the target
patient, to globally analyze patient’s movement according to a
reachable workspace and specific energy. These latter both a
reproposed to be carried out by tracking the hand movements of
the patient, and the movement volume produced. Here we present
the concept of the proposed system, as well as, the idea of its parts.