Abstract

VICENTE, Klever; VENEGAS, William; VASCONEZ, Christian L.  and  ZAMBRANO, Iván. Flexo-extension Analysis of the Neck Using Artificial Vision. Rev Politéc. (Quito) [online]. 2020, vol.45, n.1, pp.7-16. ISSN 2477-8990.  https://doi.org/10.33333/rp.vol45n1.01.

In the treatment of cervical pain, several techniques that are commonly used cannot indicate the patient pain- intensity, but only can identify structural damage. The evaluation of this pain-intensity can be achieved analyzing the cervical joint kinematic variables of the three movements: flexo-extension, flexo-lateral and rotation. In this work we will study the reliability of the photogrammetry technique through a low-cost camera, i.e., Kinect V1. The Kinect camera will acquire kinematic parameters of the flexo-extension movement from the neck joint. We will use artificial vision and depth/color image techniques to obtaining the trajectories of the technical (and anatomical) markers. A Kalman filter is employed to correct the continuous tracking of the technical markers to obtaining the spatial coordinates of each marker. The data is obtained from seven test-subjects, men and women physically healthy. The ages of the test- subjects are between 17 and 40 years. We compute the kinematic parameters of angular velocity, angular acceleration and angular displacement, associated with the spatial-coordinates of each technical marker. Then, we obtain the parameters of reliability and correlation between tests through the mean-standard error, the multiple-correlation index and the Pearson- correlation indexes, commonly used for clinical analysis. The high values of these correlation indexes let us to remark the reliability of our methodology.

Keywords : flexo-extension; photogrammetry; Kinect; Kalman filter; kinematics.

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