Adaptive information technology for recurrent laryngeal nerve identification based on electrophysical method of Its stimulation

• Autorzy: Dyvak Mykola , Tymets Volodymyr , Sheketa Vasyl

Identyfikatory

DOI

10.15199/48.2020.08.06

Warianty tytułu

PL

Adaptacyjna metoda a identyfikacji laryngologicznego nerwu bazująca na elektrofizycznej stymulacji

• Języki publikacji: EN

Abstrakty

EN

The paper represents an informational technology for recurrent laryngeal nerve (RLN) monitoring among the tissues of a surgical wound. The technique for applying the electrophysiological method for surgery wound tissue stimulation is described in detail as well as an assessment of the reaction on this stimulation. The main principles for adapting the parameters of this method to the specific patient are outlined. To estimate the reaction on the stimulation and define the distance from the stimulation point to its closest placement point, the spectral analysis of the informational signal is used. The approbation results of the applied technique during the thyroid surgery are described.

PL

Artykuł przedstawia technologię informacyjną do monitorowania nerwu krtaniowego wśród tkanek rany chirurgicznej. Opisano technikę stosowania elektrofizjologicznej metody chirurgicznej stymulacji tkanki rany, a także ocenę reakcji na tę stymulację. Przedstawiono główne zasady dostosowania parametrów tej metody do konkretnego pacjenta. Aby oszacować reakcję na stymulację w celu wykrycia RLN i określenia odległości od punktu stymulacji do jego najbliższego punktu umieszczenia, stosuje się analizę spektralną sygnału informacyjnego. Opisano wyniki zatwierdzenia zastosowanej techniki podczas operacji tarczycy.

Słowa kluczowe

EN

neck organs surgery; recurrent laryngeal nerve; informational technology; multifunctional electrostimulator

PL

operacja narządów szyi; nawracający nerw krtaniowy; technologia informacyjna; wielofunkcyjny elektrostymulator

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 8
• Strony: 28--34
• Opis fizyczny: bibliogr. 21 poz., rys., tab.

Twórcy

autor

Dyvak Mykola

• Ternopil National Economic University, UKRAINE, Ternopil, Chehova 8

autor

Tymets Volodymyr

• Ternopil National Economic University, UKRAINE, Ternopil, Chehova 8

autor

Sheketa Vasyl

• Ivano-Frankivsk National Technical University of Oil and Gas, UKRAINE, IvanoFrankivsk, Carpathian 15

Bibliografia

• [1] Guda, B. B., & Kovalenko, A. E. (2019). Clinico-morphological characteristic of papillary thyroidal carcinomas in patients, born before and after of the Chornobyl AES disaster. Klinicheskaia Khirurgiia, 86(4), 29-33.
• [2] Abstract book of First World Congress of Neural Monitoring in Thyroid and Parathyroid Surgery, Krakow, Poland, 2015, 161 pp.
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• [4] V.K. Dhillon and R.P. Tufano. “The pros and cons to real-time nerve monitoring during recurrent laryngeal nerve dissection: an analysis of the data from a series of thyroidectomy patients”. Gland Surgery, vol. 6, no. 6, pp. 608-610, 2017.
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• [8] Porplytsya, N., Dyvak, M. "Interval difference operator for the task of identification recurrent laryngeal nerve", Proceedings of the 16th International Conference on Computational Problems of Electrical Engineering (CPEE'2015), 2015, pp. 156-158.
• [9] M. Dyvak, A. Dyvak, V. Tymets and M. Cegielski, "Information Technology for Electrophysiological Approach of Recurrent Laryngeal Nerve Identification During Surgery on Neck Organs," 19th International Conference Computational Problems of Electrical Engineering, Banska Stiavnica, 2018, pp. 1-4.
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• [11] M. Dyvak, A. Pukas and M. Komar, "Methods and tools for reducing the risk of damage the reverse laryngeal nerve during the surgical operation on a thyroid," Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, Prague, 2011, pp. 604-607
• [12] M. Dyvak, N. Kasatkina, A. Pukas, N. Padletska. “Spectral analysis the information signal in the task of identification the recurrent laryngeal nerve in thyroid surgery”. Przegląd Elektrotechniczny, vol. 89, no. 6, ??. 275- 277, 2013.
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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).