Abstract
The study of the kinematic patterns, as well as, their variability in normal and pathological conditions is an urgent task and is actively carried out in biomechanics, rehabilitation, and sports medicine. One of aspects is the evaluation of data obtained in the framework of the use of robotic mechanotherapy at the CON-TREX medical system during rehabilitation treatment of patients after arthroscopic reconstructive surgery on the shoulder joint. The work shows steps of processing and analyzing CON-TREX medical systems data. The analysis of statistics and modeling of data obtained during the exercise of the patient using the CON-TREX system are performed. For this, a correlation analysis of the data is applied and the Pearson correlation coefficients are calculated. The relationship between the variables represented by the data series is revealed. Improving the visual presentation for the entire set of CON-TREX clinical data with the help of approximations, as well as, within the framework of the histogram approach allows to increase the accuracy of diagnostic evaluations. The data analysis as part of a study of the dynamics shows a number of dependencies in indicators that allow to more accurately plan the exercise cycle for the patient.
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Zotin, A., Simonov, K., Kabaev, E., Kurako, M., Matsulev, A. (2020). Evaluation of Shoulder Joint Data Obtained from CON-TREX Medical System. In: Czarnowski, I., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. IDT 2020. Smart Innovation, Systems and Technologies, vol 193. Springer, Singapore. https://doi.org/10.1007/978-981-15-5925-9_13
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