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In the treatment of cervical pain, several techniques that are commonly used cannot indicate the patient painintensity, 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 testsubjects 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 Pearsoncorrelation indexes, commonly used for clinical analysis. The high values of these correlation indexes let us to remark the reliability of our methodology.

Análisis de Flexo-extensión del Cuello Mediante el Uso de Visión Artificial