Hardware-software complex to restore finger movement coordination and color perception
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Дата
2020
Назва журналу
Номер ISSN
Назва тому
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Анотація
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. The results of injuries in the cervical spine can also
lead to atrophy of the optic nerve. In this case, it becomes quite difficult to distinguish
colors, color perception is distorted. This is especially true of red color. The work
presents the results of the development and testing series of diagnostic and training
(DT) devices “Reflex-Txx” for the physical rehabilitation program (therapy) of these
patients. As a working element of the device, a movable zone, rotating on a servo drive,
with Hall sensors or touch buttons for contact with hand fingers in different DT device
models of the series “Reflex-Txx” has used. The electronic components and
architecture of the developed devices are described as the minimal cost of hardware
implementation. For this purpose, an Arduino platform is used in the developed DT
devices. The average-moving method was used to research the effectiveness of training
techniques. The statistics of a current training session is displayed on the LCD screen
of a DT device. The total results are accumulated, displayed and analyzed on the
microservices of the developed hardware and software complex. The mobile
application was developed to visualize training data on the user's gadgets in real-time.
Опис
Hnezdilov M. Hardware-software complex to restore finger movement coordination and color perception / M. Hnezdilov, V. Polianichkin, V. Shurbin ; supervisors I. Zhuravska, Ye. Davydenko // Black Sea Science 2020: proc. of the Intern. Competition of Student Scientific Works / Odessa National Academy of Food Technologies; eds. B. Yegorov, M. Mardar [et al.]. – Odessa: ONAFT, 2020. – P. 363–376 : tabl., fig. – Ref.: 20 tit.
Ключові слова
cervical-thoracic spine/hand damages, diagnostic-training devices, Arduino, microservice architecture