This thesis demonstrates results of the electric stimulator VEB-1 software operation algorithm development. To increase the device efficiency, the algorithm is composed using the frequency beat method. Our software solutions allowed us to provide the needed precision to maintain the operating frequency of the electric current pulses that penetrate through the human body on the level not less than 0,001Hz. The software allows the operator to control the electrostimulation process through the screen, where all active processes are displayed

Babelyuk, V.

Dobrovolsky, Yu.

Korsuns’kyi, I.

Kuzenko, V.

Popovych, I.

Zukow, W.

Journal of Education Health and Sport

English

Babelyuk V., Dobrovolsky Yu., Korsuns’kyi I., Kuzenko V., Popovych I., Zukow W. The algorithm of the electric stimulator VEB-1 software operation. Journal of Education, Health and Sport. 2020;10(5):403-409. eISSN 2391-8306. DOI http://dx.doi.org/10.12775/JEHS.2020.10.05.042

https://apcz.umk.pl/czasopisma/index.php/JEHS/article/view/JEHS.2020.10.05.042

https://zenodo.org/record/5006751

 

 

 

 

 

The journal has had 5 points in Ministry of Science and Higher Education parametric evaluation. § 8. 2) and § 12. 1. 2) 22.02.2019.

© The Authors 2020;

This article is published with open access at Licensee Open Journal Systems of Nicolaus Copernicus University in Torun, Poland

Open Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium,

provided the original author (s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non commercial license Share alike.

(http://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited.

The authors declare that there is no conflict of interests regarding the publication of this paper.

 

Received: 04.05.2020. Revised: 16.05.2020. Accepted: 29.05.2020.

 

 

 

 

 

 

THE ALGORITHM OF THE ELECTRIC STIMULATOR VEB-1 SOFTWARE OPERATION

 

1Babelyuk V., 2Dobrovolsky Yu., 3Korsuns’kyi I., 3Kuzenko V., 4Popovych I., 5Zukow W.

 

1Clinical Sanatorium “Moldova”, Truskavets’, Ukraine san.moldova.tr@ukr.net

2Yuriy Fedkovych Chernivtsi National University Chernivtsi, Ukraine yuriydrg@ukr.net

3Specialized design bureau "PDK", Chernivtsi, Ukraine igkors@ukr.net

4Bohomolets’ Institute of Physiology of NAS, Kyїv, Ukraine i.popovych@biph.kiev.ua

5Nicolaus Copernicus University, Torun, Poland w.zukow@wp.pl

 

Corresponding Author Walery Zukow w.zukow@wp.pl

 

 

Abstract

This thesis demonstrates results of the electric stimulator VEB-1 software operation algorithm development. To increase the device efficiency, the algorithm is composed using the frequency beat method. Our software solutions allowed us to provide the needed precision to maintain the operating frequency of the electric current pulses that penetrate through the human body on the level not less than 0,001Hz. The software allows the operator to control the electrostimulation process through the screen, where all active processes are displayed.

 

Key words: Algorithm, electric stimulator VEB-1, software, frequency

Korsuns'kyi, I.

NEUROSURGERY ENTHUSIASTIC WOMEN SOCIETY

The algorithm of the electric stimulator VEB-1 software operation

This thesis demonstrates results of the electric stimulator VEB-1 software operation algorithm development. To increase the device efficiency, the algorithm is composed using the frequency beat method. Our software solutions allowed us to provide the needed precision to maintain the operating frequency of the electric current pulses that penetrate through the human body on the level not less than 0,001Hz. The software allows the operator to control the electrostimulation process through the screen, where all active processes are displayed.</p

V. Babelyuk

Yu. Dobrovolsky

I. Korsuns’kyi

V. Kuzenko

I. Popovych

W. Zukow

Directory of Open Access Journals

Akademicka Platforma Czasopism

403Babelyuk V., Dobrovolsky Yu., Korsuns’kyi I., Kuzenko V., Popovych I., Zukow W. The algorithm of the electric stimulator VEB-1software operation. Journal of Education, Health and Sport. 2020;10(5):403-409. eISSN 2391-8306. DOIhttp://dx.doi.org/10.12775/JEHS.2020.10.05.042https://apcz.umk.pl/czasopisma/index.php/JEHS/article/view/JEHS.2020.10.05.042https://zenodo.org/record/5006751The journal has had 5 points in Ministry of Science and Higher Education parametric evaluation. § 8. 2) and § 12. 1. 2) 22.02.2019.© The Authors 2020;This article is published with open access at Licensee Open Journal Systems of Nicolaus Copernicus University in Torun, PolandOpen Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium,provided the original author (s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non commercial license Share alike.(http://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited.The authors declare that there is no conflict of interests regarding the publication of this paper.Received: 04.05.2020. Revised: 16.05.2020. Accepted: 29.05.2020.THE ALGORITHM OF THE ELECTRIC STIMULATOR VEB-1 SOFTWAREOPERATION1Babelyuk V., 2Dobrovolsky Yu., 3Korsuns’kyi I., 3Kuzenko V., 4Popovych I., 5Zukow W.1Clinical Sanatorium “Moldova”, Truskavets’, Ukraine san.moldova.tr@ukr.net2Yuriy Fedkovych Chernivtsi National University Chernivtsi, Ukraine yuriydrg@ukr.net3Specialized design bureau "PDK", Chernivtsi, Ukraine igkors@ukr.net4Bohomolets’ Institute of Physiology of NAS, Kyїv, Ukraine i.popovych@biph.kiev.ua5Nicolaus Copernicus University, Torun, Poland w.zukow@wp.plCorresponding Author Walery Zukow w.zukow@wp.plAbstractThis thesis demonstrates results of the electric stimulator VEB-1 software operationalgorithm development. To increase the device efficiency, the algorithm is composed usingthe frequency beat method. Our software solutions allowed us to provide the needed precisionto maintain the operating frequency of the electric current pulses that penetrate through thehuman body on the level not less than 0,001Hz. The software allows the operator to controlthe electrostimulation process through the screen, where all active processes are displayed.Key words: Algorithm, electric stimulator VEB-1, software, frequency.IntroductionOne of the topical and sought-after nowadays research directions in medicalinstrument engineering is the biometric devices for the nervous system electrostimulationdevelopment. As known [1-5], electrostimulation is applied to amplify, stimulate or404rehabilitate the operation of certain organs and systems of the human body, damaged by thedisease.Electrostimulation of the nervous system is conducted by affecting on the organismwith small current pulses that imitate the ordinary nervous system’s signals. Modernelectrostimulation devices generate pulses of rectangular, triangular and flat-topped shapeswith variable frequency and duration. To attain the effective stimulation of the weakenedorgan, it’s also needed to ensure the total matching of the frequency generated by the deviceand the own organ operating frequency. Among the displayed on the marketelectrostimulators of the muscules, nerves and certain organs, there is a big number ofdevices, able to maintain the accuracy of the frequency setting on the level of 0,1-0.01Hz [6-12].Whilst, the operating frequencies of the same organs of different people might differ.According to our research [13,14], this diversity can be represented as a certain frequencyrange, and the deviation from person to person might equal from 0,1 to 0.001Hz.The VEB-1 device is developed following the higher mentioned demands ofstimulating human organs with the maintained operating frequency precision on the level notless than 0,001Hz. The device construction was, as well, mentioned before [13,14].The thesis purpose is to demonstrate the results of the VEB-1 device’s softwarealgorithm development.As we’ve mentioned before, [14] basically, to increase the efficiency of the impact onthe human organism nerve centers of the modulated current, the device uses the frequencybeat method [15,18].The nerve nodes balancing program general algorithmIn our case, the solution of the task to get the frequency beat effect is to form, by twosignal channels, the rectangular shaped pulses with the frequency offset equal to the beatfrequency [15].Mostly the beats occur as a result of the signal pulse phase offset while each newpulse is forming. The phase offset is aliquot to the frequency offset of the above mentionedtwo channels f1 and f2. We are interested in the number of phases per one second Nt . Onephase here means one frequency beat.Nt = f1 – f2, (1)For example:f1 = 4.5 х 32 = 144;f2 = 144 + 4.5 = 148.5;Nt = 148.5 – 144 = 4.5.That’s how we get 4.5 frequency beats per second.As it’s mentioned in [13], to get the beat with the frequency of i.g. 6Hz, we form thepulses in two channels: the first channel has the carrier frequency of 30Hz and the second -36Hz. At the same time, the carrier frequency fn is re estimated for each nerve node’sfrequency range stepwise passing. For the first channel we get the frequencyf1 = 32·fb, (2)where 32 is the 32-nd subharmonic of the beat frequency;and fb – the beat frequency.The second channel frequency equals:f2 = 32·fb+fb, (3)Consequently, the carrier frequency is always the 32-nd subharmonic relative to thebeat frequency fb.405Considering the formulas 1-3 we get the resulting device operating algorithm, writtenon C++ programming language.The algorithm for setting the needed frequency block diagram, formed according tothe formulas 1 - 3 for the loop N1 and N2 is displayed on the figure 1. The rest seven loops arepassed by the program in the same way, that is shown on the figure 1.Step 1. During first 30 seconds the stimulation is conducted with the 4.5Hz frequencyof pulses, that lead to the state of tranquillity. The part of code that describes this step ismentioned farther:IN_FREQ=450*32;IN_FREQ_2=(450*32)+450;SetFreq1(IN_FREQ/100);SetFreq2(IN_FREQ_2/100);Step 2. N1 is the stepwise increasingof the frequency in the first nerve node’srange with the step of 0.01Hz and theinterval of 3 seconds. After reaching thehighest frequency of the range, thestimulation with this frequency continuesduring one minute. The part of code thatdescribes this step is mentioned farther:for(y=0;y<n;y++){FREQ=StepFREQ+y;IN_FREQ=FREQ*32;IN_FREQ_2=(FREQ*32)+FREQ;SetFreq1(IN_FREQ/100);SetFreq2(IN_FREQ_2/100);DisplayTIMER ();}Step 3. N2 is the stepwise increasingof the frequency in the second nerve node’srange with the step of 0.01Hz and theinterval of 3 seconds. After reaching thehighest frequency of the range, thestimulation with this frequency continuesduring one minute. The part of code thatdescribes this step is alike to the abovementioned one and to the farther goingloops as well.Step 4. N3 - is the stepwiseincreasing of the frequency in the thirdnerve node’s range with the step of 0.01Hzand the interval of 3 seconds. Afterreaching the highest frequency of the range,the stimulation with this frequencycontinues during one minute.Step 5. N4 - is the stepwiseincreasing of the frequency in the fourthnerve node’s range with the step of 0.01Hzand the interval of 3 seconds. Afterf = 4,5 HzN1�21 = 32�� + ��f2=32fb Channel BChannel А f1=32fb�11 = 32���12 = �11+0,01Hz �22 = �21+0,01Hz�13 = �12+0,01Hz �23 = �22+0,01Hz�1� = �1�−1+0,01Hz �2� = �2�−1+0,01hzEnd N1f1 , f2f2 - f1f3, f4(f3+fZ) - (f4+fZ)StartBeginning N2N2�41 = 32�� + ��F4=32fbf3=32fb�31 = 32���32 = �31+0,01Hz �42 = �41+0,01HzFig. 1. Block diagram of the algorithm for settingthe desired frequency for cycle N1 and N2406reaching the highest frequency of the range, the stimulation with this frequency continuesduring one minute.Step 6. N5 - is the stepwise increasing of the frequency in the fifth nerve node’s rangewith the step of 0.01Hz and the interval of 3 seconds. After reaching the highest frequency ofthe range, the stimulation with this frequency continues during one minute.Step 7. N6 - is the stepwise increasing of the frequency in the sixth nerve node’s rangewith the step of 0.01Hz and the interval of 3 seconds. After reaching the highest frequency ofthe range, the stimulation with this frequency continues during one minute.Step 8. N7 - is the stepwise increasing of the frequency in the seventh nerve node’srange with the step of 0.01Hz and the interval of 3 seconds. After reaching the highestfrequency of the range, the stimulation with this frequency continues during one minute.Step 9. N8 - is the stepwise increasing of the frequency in the eighth nerve node’srange with the step of 0.01Hz and the interval of 3 seconds. After reaching the highestfrequency of the range, the stimulation with this frequency continues during one minute.Step 10. N9 - is the stepwise increasing of the frequency in the ninth nerve node’srange with the step of 0.01Hz and the interval of 3 seconds. After reaching the highestfrequency of the range, the stimulation with this frequency continues during one minute.While the algorithm is executed, the current values are displayed on the screen (fig. 2)The screen on the picture 2 displays:● the total time left to the end of the stimulation,timer of how long the device is on;● the nerve node’s number, that is currentlystimulated by the device;● the frequency change step for each 3 seconds;● the voltage of the outer signal.The part of code that describes the information outputis shown farther:SendString("Stimulation", 40, 30,ILI9341_COLOR_GREEN, FonScreen, FONT_2X);SendString("Nerve Nodes ", 40, 50, ILI9341_COLOR_YELLOW, FonScreen, FONT_2X);sprintf(chr1, "%d freq. по %d min.", buf1, buf2);SendString(chr1, 40, 100, ILI9341_COLOR_WHITE, FonScreen, FONT_2X);sprintf(chr2, " Time: %d min.", buf3);SendString(chr2, 40, 130, ILI9341_COLOR_WHITE, FonScreen, FONT_2X);sprintf(strbuf, "%.2f / %.2f Hz", (float)freq1/100, (float)freq2/100);TM_ILI9341_Puts(x, y, strbuf, &TM_Font_11x18, ILI9341_COLOR_GREEN, FonScreen);Particularly, the output of the timers counters, timer 1 - general and timer 2 - thecurrent frequency timer and their precision guarantying are performed by the farther code:void DisplayTIMER (void ){char chrs[10];int min1,min2;int sec1,sec2;if (Timer > 59) { min1 = Timer/60; sec1 = Timer - (min1*60);}else { min1=0; sec1 = Timer;}if (TimerFull > 59) { min2 = TimerFull/60; sec2 = TimerFull - (min2*60);}else { min2=0; sec2 = TimerFull;}/* Format time */sprintf(chrs, "%02d:%02d %02d:%02d", min2, sec2, min1, sec1 );407TM_ILI9341_Puts(40, 80, chrs, &TM_Font_16x26, ILI9341_COLOR_YELLOW,FonScreen);return;}When we form the first pulse on both channels (f1 and f2) with the phase shift of 0o, we getthe absolute zero for the current in the output. (fig. 3).When we form the second pulse �12 ,because of the frequency difference in 6Hzthe phase shift of 360о/6=60 о occurs. On theoutput, accordingly, we get the pulse, whichduty cycle is 100%/6=16.67%. In this casethe the phase shift increasing on 60 оaccompanies each next clock (fig. 4).The developed algorithm and theresulting software was tested by theoscillograph ATTEN 1102CAL. The outputfrequency, generated by the programmeasuring was conducted with the help ofthe built in the generator RIGOL DS4162frequency counter.The measurements showed, that thefrequency maintaining accuracy, used for thestimulating current modulation, is less than10-3 Hz. This allows to consider theminimum variations between the operatingfrequencies of different patients’ nerve nodes.The device clinical trial results,presented in [16, 17] demonstrate the avarageimprovement of the measured markers of a person’s health state (20 items) after the devicestimulation range between 10% and 15% . At the same time for some certain markers theresulting value have increased on the higher percentage. I.g. the total testosterone increaseequals 29 ±6%; the number of microbes, absorbed by one phagocyte, have increased on 21%,with the measurement error of 8%.ACCORDANCE TO ETHICS STANDARDSTests in volunteers are conducted in accordance with positions of HelsinkiDeclaration 1975, revised and complemented in 2002, and directive of National Committeeon ethics of scientific researches. During realization of tests from all participants theinformed consent is got and used all measures for providing of anonymity of participants.Conclusions.The comparing analysis of existing electrostimulators demonstrated their disability toprovide the maintaining operating frequency pulse of the electric current equaled to 0,001Hz.The frequency beat method is the proven most reasonable instrument to reach the highefficiency of the stimulation effect.408The exploration of the device operating have shown that the current pulses penetrationinto the human organism is provided with the maintaining operating frequancy accuracy ofnot less than 0,001Hz.References[1] Gerard Koel and Pamela E. Houghton, Electrostimulation: Current Status, Strength ofEvidence Guidelines, and Meta-Analysis. Adv Wound Care (New Rochelle). 2014Feb 1; 3(2): 118–126. doi: 10.1089/wound.2013.0448.[2] Nantawachara Jirakittayakorn Yodchanan Wongsawat Brain Responses to a 6-HzBinaural Beat: Effects on General Theta Rhythm and Frontal Midline Theta Activity/ Front. Neurosci., 28 June 2017. https://doi.org/10.3389/fnins. 2017.00365.[3] Kern H., Carraro U., Adami N., Biral D., Hofer C., Forstner C., Mödlin M., Vogelauer M.,Pond A., Boncompagni S., Paolini C., Mayr W., Protasi F., Zampieri S. Home-basedfunctional electrical stimulation rescues permanently denervated muscles inparaplegic patients with complete lower motor neuron lesion // Neurorehabil NeuralRepair. - 2010. - №. 24 (8). - Р. 709 –721.[4] Nathaniel J. Zuk, Laurel H. Carney and Edmund C. Lalor, Preferred Tempo and Low-Audio-Frequency Bias Emerge From Simulated Sub-cortical Processing of SoundsWith a Musical Beat. 29 May 2018, https://doi.org/10.3389/fnins.2018.00349.[5] Guyot, M., Simon, T., Ceppo, F. et al. Pancreatic nerve electrostimulation inhibits recent-onset autoimmune diabetes. Nat Biotechnol 37, 1446–1451 (2019).https://doi.org/10.1038/s41587-019-0295-8.[6] Pat. 2164424 RF. Method of low-frequency electromagnetic therapy and a device for itsimplementation / Konoplev S.P., Konopleva T.P. - 03/27/2001. - Bul. No. 11. (Rus).[7] Pat. Germany 4238745. A device for generating a magnetic field with a duplicated systemand an anti-jamming device / Walter Kaufmann. - 05/19/1994 .[8] Vasilyeva L.V., Gorkovenko I.A. Low-frequency electromagnetic therapy alternative toantibiotic therapy of ulcerative lesions of gastrointestinal tract // Bulletin of newmedical technologies.— 2103. — rel.2, T. XX. — P. 185-187. (Rus).[9] Device of pulsed electromagnetic therapy // Bulletin of sports innovations.— 2012.— No.38.— P. 6. (Rus).[10] Pat. for utility model No. 101365 RF. A device for electromagnetic therapy / Shafov S.K., Soloviev S. V. - 2011.— Byul. No. 2. (Rus).[11] Pat. Ukraine for useful model No. 49957 Portable device for electrotherapy andstimulation / Turchinov A.N. Volkovinskaya AA— 2010.— Byull. No. 9. (Ukr).[12] Babeluk N.V., Babeluk V.Y., Dubkova G.I. that in. Modulation of functional systems ofpractically healthy people in the course of electrostimulation // IX Internationalsymposium "Actual problems of biophysical medicine." - 2016. - Ukraine, M. Kiev.- P. 10-11. (Ukr).[13] Babelyuk VY, Dobrovolskiy YyG, Popovych IL, Korsunskiy IG. Generator forelectrotherapy and stimulation oh human nerve centers [in Russian]. Tekhnologiya iKonstruirovaniye v Elektronnoy Apparature. 2017; 1-2: 23-27.[14] Babelyuk Valeriy Ye, Babelyuk Nazariy V, Popovych Igor L, Dobrovol’s’kyi Yuriy G,Korsuns’kyi Igor H, Korolyshyn Tetyana A, Kindzer Bohdan M, Zukow Walery.Influence of the course of electrostimulation by the device "VEB-1" on parametersof electroencephalogramm at practically healthy males. Journal of Education, Healthand Sport. 2018; 8(4):195-206. DOI http://dx.doi.org/10.5281/zenodo.1219029.[15] R. E. D. Bishop. Vibration. Second edition. Cambridge University Press, 1979 р. – 164p.[16] Babelyuk N.V. The Influence of the Course of Electrostimulation by the Device "VEB-1" on Metabolic Parameters of Practically Healthy Men / N.V. Babelyuk, V.Y.409Babelyuk, V.V. Kikhtan, I.L. Popovych, M.M. Burkovs’Ka, Y.G. Dobrovolskyi, I.H.Korsuns’Kyi, B.M. Kindzer, W. Zukow // Experimental and Clinical Physiologyand Biochemistry- 2018. –V 84(4)/ P. 11–17. https://doi.org/10.32388/JA6NS9.[17] Babelyuk Valeriy Ye. Perspectives on the use of electrostimulation with the device“VEB”® in the management of disorders related to COVID-19 / Valeriy Ye.Babelyuk, Igor L. Popovych, Nazariy V. Babelyuk, Tetyana A. Korolyshyn, GalynaI. Dubkova, Marta M. Kovbasnyuk, Victor Y. Hubyts’kyi, Volodymyr V. Kikhtan,Vira Y. Musiyenko, Iryna G. Kyrylenko, Yuriy G. Dobrovolsky, Igor H. Korsunskyi,Radosław Muszkieta, Walery Zukow, Anatoliy I. Gozhenko // Balneo ResearchJournal. Vol.11, No.3, September 2020 p: 328–343. DOI:http://dx.doi.org/10.12680/balneo.2020.361[18] Gozhenko A., Biryukov V., Muszkieta R., Zukow, W. Physiological basis of humanlongevity: the concept of a cascade of human aging mechanism. Collegiumantropologicum, 2018; 42(2): 139-146.

https://apcz.umk.pl/JEHS/article/download/JEHS.2020.10.05.042/29166

The algorithm of the electric stimulator VEB-1 software operation

Abstract

Similar works

Full text

Available Versions

NEUROSURGERY ENTHUSIASTIC WOMEN SOCIETY

Directory of Open Access Journals

Akademicka Platforma Czasopism