An improved method and means with the function of automatic adjustment of electrical signal parameters for detection of the recurrent laryngeal nerve

2023;
: pp. 1-8
1
Department of Computer ScienceWest Ukrainian National University
2
Department of Computer ScienceWest Ukrainian National University

The article presents the results of the development of software and hardware for identifying the recurrent laryngeal nerve (RLN). In the course of research, it was found that the effectiveness of detecting as result of stimulation of the RLN with a pulsed electric current depends on its frequency. On this basis, it is proposed to use software tools for automatically adjusting electrical signal parameters in order to stimulate the tissues of a surgical wound as efficiently as possible. In thyroid surgery, these tools are used to minimize the risk of damage to the RLN. An improved method for stimulating surgical wound tissue is presented. The main algorithms of the tools and the architecture of the software part are presented. The proposed device was tested on the basis of a medical centre in Ukraine.

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