The subject of the article is the testing process on multi-touch devices for the implementation of psychoneurological studies. The goal of the work is development specialized dynamic tests with the introduction of Multi-touch technology to detect carpal tunnel syndrome and hand dysfunction in the early stages of the disease. An objective of the work is to conduct a theoretical analysis to determine the optimal parameters of touchscreen devices for the implementation of psycho neurological testing; based on experimental studies to determine the main physical indicators of the test results, indicating the presence of functional disorders of the hand. The constant use of computers, smartphones, gadgets provide multiple identical load on the wrist; constant visual and neuroemotional stress; sitting position of the body; static tension of the musculoskeletal system caused by the need to maintain a working posture; decreased overall motor activity. The methods of computer modeling and visualization of dynamic tests using the multiplatform programming language Python were used. Results. The scientific novelty and practical significance of the obtained results is the development of specialized software and algorithmic software for dynamic testing on sensory devices with the ability to video record the movements of the upper extremities in the mode "Rapid". The advantage of this method is its non-invasiveness, ease of implementation, as well as the absence of sensors that can restrict movement. Using the rapid method, one can easily distinguish the pathological state of motor activity of the hand from the established norm. Conclusions. A specialized software tool was developed, which was adapted for multi-touch screens that allow identifying functional disorders of the hand by registering the main physical parameters during testing. Dynamic tests are adapted for any age category of participants (patients), have additional modes for individual color perception and different levels of complexity.
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