Relationships of kinematics indexes with amplitude and velocity of upper arm reaching movement

Arm reaching movements (ARM) are mainly used in rehabilitative settings, as robot mediated therapies, virtual reality and motion capture systems in exergaming. ARM typical consist of gaussian-like bell shaped velocity profile. No previous paper addressed in details their relationships with amplitude and speed of the movement and aim of the paper is to study existing correlations between quantitative kinematics indexes (KI) and to describe their relationships with the amplitude and the velocity of the movement in normal subjects. We studied about one thousands of horizontal and vertical ARM of 10 normal subjects at four amplitude's values (15-20-25- 30°) and at three different target velocity (20-30- 40°/s), quantitatively evaluated by symmetry, skewness, kurtosis and smoothness indexes. KI showed extremely low correlations to each other, clearly describing different ARM features, higher correlations with the velocity than with the amplitude of the movement, and in vertical antigravitary rather than horizontal ARM. Among all KI, smoothness showed the higher correlations' values, following an exponential growth relationship both with velocity and amplitude in horizontal and vertical ARM.

[1]  Mario Cesarelli,et al.  Kinematics patterns of upper arm reaching movement in robot-mediated therapy , 2011, 2011 IEEE International Symposium on Medical Measurements and Applications.

[2]  P Bifulco,et al.  Advanced template matching method for estimation of intervertebral kinematics of lumbar spine. , 2011, Medical engineering & physics.

[3]  宇野 洋二,et al.  Formation and control of optimal trajectory in human multijoint arm movement : minimum torque-change model , 1988 .

[4]  Roberta B. Shepherd,et al.  Exercise and Training to Optimize Functional Motor Performance in Stroke: Driving Neural Reorganization? , 2001, Neural plasticity.

[5]  G. D'Addio,et al.  Kinematic and EMG patterns evaluation of upper arm reaching movements , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[6]  A. Fratini,et al.  Muscle motion and EMG activity in vibration treatment. , 2009, Medical engineering & physics.

[7]  C. Atkeson,et al.  Kinematic features of unrestrained vertical arm movements , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[8]  E. Bizzi,et al.  Human arm trajectory formation. , 1982, Brain : a journal of neurology.

[9]  Paolo Bifulco,et al.  A comparison of denoising methods for X-ray fluoroscopic images , 2012, Biomed. Signal Process. Control..

[10]  J. T. Massey,et al.  Spatial trajectories and reaction times of aimed movements: effects of practice, uncertainty, and change in target location. , 1981, Journal of neurophysiology.

[11]  Luigi Paura,et al.  X-ray fluoroscopy noise modeling for filter design , 2013, International Journal of Computer Assisted Radiology and Surgery.

[12]  Maria Romano,et al.  A continuous description of intervertebral motion by means of spline interpolation of kinematic data extracted by videofluoroscopy. , 2012, Journal of biomechanics.

[13]  M. Kawato,et al.  Formation and control of optimal trajectory in human multijoint arm movement , 1989, Biological Cybernetics.

[14]  Maria Romano,et al.  Analysis and Modelling of Muscles Motion during Whole Body Vibration , 2010, EURASIP J. Adv. Signal Process..

[15]  Gianni D'Addio,et al.  Reproducibility of kinematics indexes of upper arm reaching movement in robot assisted therapy , 2012, 2012 IEEE International Symposium on Medical Measurements and Applications Proceedings.

[16]  T. Flash,et al.  The coordination of arm movements: an experimentally confirmed mathematical model , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[17]  E. Bizzi,et al.  Posture control and trajectory formation during arm movement , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[18]  N. Hogan An organizing principle for a class of voluntary movements , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.