Ivan Aleksandrovich Kudashov - Assistant, Department of Biomedical Techniques, Bauman Moscow State Technical University. E-mail: KydashovV@mail.ru
Sergey Igorevich Shchukin - Doctor, Professor, Head of a chair Department of Biomedical Techniques, Bauman Moscow State Technical University. E-mail: schookin@mx.bmstu.ru
Artem Igorevich Malahov - Assistant, Department of Biomedical Techniques, Bauman Moscow State Technical University. E-mail: malahart@mail.ru
Aleksey Nikolaevich Tihomirov - Assistant, Department of Biomedical Techniques, Bauman Moscow State Technical University. E-mail: aleksey.tihomirov@gmail.com
Aleksander Viktorovich Kobelev - Assistant, Department of Biomedical Techniques, Bauman Moscow State Technical University. E-mail: ak.mail.ru@gmail.com
Maxim Nikolaevich Cherkashin - Assistant, Department of Biomedical Techniques, Bauman Moscow State Technical University. E-mail: maxim.cherkashin@gmail.com

Several past decades have shown significant raise of interest in developing of new visualization methods for control of minimally invasive procedures. Creation of such means results in the increase of the quality of medical service being provided. One of the procedures under high attention is venipuncture - a medical manipulation, accompanied with the penetration of the injection needle into the human's vein. At the present moment, there is no method which could provide the medical personnel with the visual implementation of venipuncture on the forearm. In this paper we describe the developed venipuncture control method by electrical impedance measurements. Current electrodes are set on the surface of the tissue under investigation and the impedance values are derived by conduction of the 100 kHz current with intensities below 5 mA, and needle electrode is connected to one of the surface current electrodes. For the working-off the electroimpedance needle injection control method a laboratory bench was developed. It was made of two mediums with different electrophysical properties. The first one mimicks the skin and made as homogenous substance with resistivity of 15 Ohms∙m. The second one is imitates the vessel and made as cylindrical enclosure with resistivity of 1.4 Ohms∙m. As the needle is injected into the laboratory bench the base impedance decreases. At the moment of the imitation vessel penetration the sharp drop of the measured signal occurs. During this research it was found that the speed of the needle injection affects the results highly. To differentiate the artifacts corresponding to the change of injection speed and occurring of the penetration, a threshold-based algorithm was developed. This algorithm allows us to discriminate the two mentioned types of events.

 

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