Electromyographic Identification of the Recurrent Laryngeal Nerve Using an Integrated Hardware–Software System During Thyroid Surgery
Source abstract
Abstract
The paper presents a hardware and software complex for monitoring the recurrent laryngeal nerve (RLN) with electromyography (EMG) as the primary tool, observing the RLN’s response to stimulation during intraoperative nerve monitoring (IONM). As a result of the analysis of available IONM tools using EMG, it was found that electromyography is an accurate and safe method for monitoring the bioelectric activity of the vocal cords. The article proposes a concept for monitoring the recurrent laryngeal nerve (RLN) by observing changes in the bioelectric activity of the vocal cords during RLN stimulation. A hardware and software complex was developed in accordance with the concept. The article presents the architecture of the hardware and software of this complex. A detailed description of all hardware parts, their purpose, and their interaction is given. Features of the software and tools used in its development are described. The results of the approval of the complex during thyroid surgery at the VITASANA Medical Center in the city of Ternopil are given. The complex could successfully register and record the change in the biometric potential of the vocal cord at the moment of stimulation of the RLN.
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Research context
OpenAlex topics: Engineering Technology and Methodologies · Medical and Biological Sciences
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Computer Science, West Ukrainian National University, 11 Lvivs’ka Str., 46000 Ternopil, Ukraine
Department of Clinical Engineering, Academy of Silesia, 40-555 Katowice, Poland
Department of Surgery with Urology No 1 by L. Ya. Kovalchuk, I. Horbachevsky Ternopil State Medical University, Klinichna Street 1, 46001 Ternopil, Ukraine
Funding
Ministry of Science and Higher Education, Poland
References (41)
Show source-provided references
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