Abstract (EN):
The development of a hybrid solution (hardware
and software) integrating a computer and the Kinect sensor is
presents in this paper. The solution proposed, here called GoNet, is
a promising prototype to be used in dynamic and automatic
evaluation of biomechanical rehabilitation processes. Experimental
tests concerning the assessment of the range of motion of patients,
particularly for elbow flexion, elbow extension, shoulder
abduction, shoulder flexion, radial deviation and ulnar deviation,
are presented and discussed. Eight healthy subjects were assessed
using GoNet and a goniometer. The intraclass correlation
coefficient (ICC) was used to analyze the reproducibility, and the
Pearson correlation test was used in the analysis of transversal
validity. The significance level was defined as equal to 5%. As to
the intra- and inter-examiner reproducibility, high ICC values
were found for the range of motion of shoulder flexion/extension,
shoulder abduction/adduction, radial deviation and ulnar
deviation. When evaluated by two experts the correlation between
the goniometry and GoNet, significant results were observed for
the amplitude of shoulder flexion/extension (r = 0.74; p = 0.03) and
elbow flexion/extension (r = 0.67, p = 0.04). Based on the results
obtained, GoNet proved to have high reproducibility, except for
intraexaminer assessment of elbow flexion/extension. Regarding
the transverse validity, relevant measurement results were found
in terms of flexion/extension of the elbow and shoulder.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
6
License type: