Abstract

After the damages of the cervical-thoracic spine and hand nerves, the motor and/or sensory functions are impaired, especially fine motor skills of each finger individually or a group of fingers. In the paper is proposed a method of constructing a “green zone” (optimal for patient training mode), and “red zone” (dangerous training mode), which correspond to the model of quantitative dependence the time fulfill several sequential actions patient based on the moving average. A decrease of muscle spasticity of the arm in scores following the Modified Ashworth Scale (MAS) was used as a criterion of optimality. For medical studies and training the diagnostic and training (DT) devices of the “Reflex-Txx” series were developed, which has in-built Hall sensors or touch sensors. The results of each individual's training are accumulated, displayed and analyzed on the microservices of the developed hardware and software complex and available on the user's gadgets. The electronic components and architecture of the developed devices based on a cost-effective Arduino platform hardware implementation.

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