Advances in Clinical and Experimental Medicine

Title abbreviation: Adv Clin Exp Med
JCR Impact Factor (IF) – 2.1
5-Year Impact Factor – 2.2
Scopus CiteScore – 3.4 (CiteScore Tracker 3.4)
Index Copernicus  – 161.11; MEiN – 140 pts

ISSN 1899–5276 (print)
ISSN 2451-2680 (online)
Periodicity – monthly

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Advances in Clinical and Experimental Medicine

2019, vol. 28, nr 8, August, p. 1125–1135

doi: 10.17219/acem/103414

Publication type: review article

Language: English

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Methods of integrating the human nervous system with electronic circuits

Tymoteusz Skok1,A,B,C,D,E,F, Paweł Tabakow2,D,E,F, Krzysztof Chmielak2,D,E,F

1 Student Scientific Circle at the Department of Neurosurgery, Wroclaw Medical University, Poland

2 Department of Neurosurgery, Wroclaw Medical University, Poland


In recent years, many attempts have been made to connect electrical circuits with the human nervous system. The objective of type of research was diverse – from the desire to understand the physiology of the nervous system, through attempting to substitute nervous tissue defects with synthetic systems, to creating an interface that allows computers to be controlled directly with one’s thought. Regardless of the original purpose, the creation of any form of such a combination would entail a series of subsequent discoveries, allowing for a real revolution in both theoretical and clinical neuroscience. Computers based on neurons, neurochips or mind prostheses are just some examples of technologies that could soon become part of everyday life. Despite numerous attempts, there is still no interface that meets all the expectations of the scholars. However, many scientific groups seem to be on the right track and their achievements raise extraordinary expectations. This paper evaluates historical theories and contemporary ideas about such interfaces to smoothly describe the major medical and scientific utility of the subject. Thus it presents the main issues surrounding the concept of integrating the human nervous system with electronic circuits.

Key words

brain–computer interface, biosensors, peripheral nerve interface

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