a oy Approved For Release 2000/08/08 : CIA-RDP96-00789R003100280001 -7 ; (usually low-level) signals functioning through the data systems of the organism are called data’ — signais [3,5]. Itis natural to ask what the function of these signals is. A general answer might be as follows: to mobilize the reserves of the organism when, for some reason, the normally functioning data system cannot perform this: task itself (Data have so far been published only on certain data EMO signals and the nature of their mobilizing action on the organism. The experimental data refer mainly to protective action of EMO on hemopoiesis, action on malignant neoplasms, ophthalmological diseases, trauma, and certain heart-vascu— lar diseases etc. But we can in principle expect. that, as. research widens, the range of these signals will be extended and the scope for mobilizing the reserves of the organism will correspondingly be seen to increase.), This is to some extent similar to adjustment of the feedback loops of an electronic system in order better to. mobilize the reserves built into the system. : Se ee oT This answer can appear unassuming at first sight: we.merely use the signals so that the organism fully performs its functions, admittedly, in varying conditions. But it has to be borne in mind, first, that the prime task of medical interference. ig to restore the organism to its normal state. Second, any of the present popular medical fdcilities are precisely aimed at assisting the organism in its struggle with illness, and not at its sub- stitution, so that, from this point of view, the data signals present no exceptions. Third ly and most important, the vast reserve potentials of ‘the organism have to be borne in mind. By gradual training a man can be taught to withstand cold, heat, oxygen deficiency in moun- tains, to consume a small amount of food and moisture, to maintain large physical loads, to accelerate regénerative action, etc. To realize these possibilities, slow adjustment of the organism is needed, specially of its system of internal feedbacks.(We are speaking here of gradual adjustment in connection with changes in conditions of existence, though it has to be remembered that similar adjustments can be caused by psychological attitudes (also : long-term). .For instance, there are the widely known "self-adjustments" of ilogov to long- term oxygen deficiency, or to enormous static loads reaching several tons, etc.). But medi- cine is often concerned with cases when sudden disruptions do not leave time for slow adap~ tation and adjustment of the organism, and tts reserves cannot be brought into action in : natural conditions. This is sensible Starting-point for using data Signals, whereby the adjustment of the organism can be accelerated many times. In.(5], from analysis of examples of EMO data signals remembered by. the organism, it 1s. concluded that the organism mobilizes them for overcoming factors unfavorable to its operation. . Naturally, the data Signals can also prove useful when the data communication circuits are destroyed and external signals are used for replacing those that do not arrive over the natural channels. ~: | aan Discovery of the effects of data Signals on adjustment of the organism can be: assisted by experiments in which the organism is irradiated by square pulse amplitude-modulated EMO signals [10]. Even earlier, in [2, 5], 1t was established that often, when. data stimula— _ tion is realized by continuous EMO, fairly long-term (not less than an hour in (2, 5]) irra- diation is needed. In [10] the biological results of stimulation were compared for two types of irradiation. The first type was continuous, using a generator with power only 20-30% above the threshold required for obtaining a biological effect, so that any signifi- cant power reduction or reduction of irradiation time to under 45. mins, leads to vanishing of the effect. The second was ‘the square pulse amplitude-modulated mode of the same genera— tor; pulse duration was 1.6+1073 sec, repetition period was 0.01 sec, and pulse power was equal to the power in the first (continuous) mode. ‘It was found that the biological effect. is virtually the same for an hour's irradiation in either mode. .This shows that the living organism requires a short time (at most 1077 sec) for response to irradation, whereas re- laxation from the stimulated state requires over 0.01 sec. As a result, the pulse and con- tinuous modes give the same biological effect. Relatively long-term irradation is needed for certain systems of the organism to adjust, thereby producing. a memory of the stimulus. , With ‘continuously varying conditions of existence, and with breaks of the data connec-— tions, the organism has-to adjust itself continuously,.often quite rapidly in the cases | where medicine is concerned. It can therefore be expected that there will be increased use if data EMO stimuli in medicine as research progresses (It may be mentioned incidentally that the organism usually becomes accustomed to any medical Stimuli, presumably due to its adaptability to any external: factors demanding adjustment of its operation. But so far, 10 adaptation to data EMO stimuli has been observed.. This is possibly because data communi-= ‘ation is realized in the organism by similar signals, and the organism adapts to them sim— oly by "not noticing" them.). : Let us touch on the last of the above=~mentioned. conditions for long-term uninterrupted ‘eration of a large system, namely, the presence of circuits for obtaining information «bout all the changes affecting the system operation. By obtaining information about faults Approved For Release 2000/08/08 : CIA-RDP96-00789R003100280001-7
Approved For Release 2000/08/08 : CIA-RDP96-00789R003100280001-7 that are just starting, before they have had time to effect the operation of an electronic System, we can take measures (such as replacing certain units or adjusting the system, — etc.) in good time and thereby avoid failure of the System operation. Hence more and more attention is being paid to ways of obtaining such early information when designing high- reliability systems. ee In the same way, early diagnois is well known to Simplify the treatment of sick people, Disease is usually first indicated by painful sensations, the living organism being equippeg with a data system uniqué in its universality for Supplying data on the presence of disease, Yet there are times when the organism starts to perceive Signs of disease too late (e.g., in the case of appearance of malignant neoplasms), in which cases cure becomes more diffi- cult. For various reasons, prophylactic inspections Only partially fill this gap. But it can be predicted that, with further Study and development of EMO data stimuli, we shall be able to use the organism's data system itself for early diagnosis, as a result of increas- ing its sensitivity Short-term,  - > “It should be mentioned in conclusion that the problems of ensuring long-term uninter- rupted operation of a large complex system, regardless of its nature or function, have several common aspects, notably. informational. Modern complex electronic systems, like living organisms, belong to the class of large systems. It has therefore been premised above that, in spite of a vast difference in their degrees of complexity, there can be obvious analogies in the approach to the study and furnishing of conditions for reliable Operation, of these systems. For the Simpler and more readily inspected electronic sys- tems, the solutions of many problems can be found more easily. By analogy, such solutions can contribute to new approaches to medical-biological problems: This should be a further trend in the penetration of radio-electronics into medicine. REFERENCES oe oe, 1. E. Shroedinger, What Life is from the Point of View of Physics Cin Russian], Atomizdat, Moscow, 1972.°7) s+: yo, ’ 2. Scientific session of general physics and astronomy section of Academy of Sciences, USSR (17-18 Jan, 1973), UFN, G110, no. 3, pp. 452-469, July, 1973. ‘ 3. N. D. Devyatkov and M. B, Golant, "On the informational nature of non-thermal and Some energy stimuli of electromagnetic oscillations on the living organism," Letter to ZHIF, no. 1, 1982. - ces 7 4, H. Frolich, Advances in Electronics and Electron Physics, vol. 65, pp. 85-110; 148-152, 1980. st . 5. N. D. Devyatkov et al., "Physical aspects of the medical use of energy and infor- mational electromagnetic Stimuli," Elektronnaya tekhnika, Seriya Elektronika SVCh, no. 9 (333), 43-50, 1981. . 6. S. Webb, Phys. Pep., no. 60, p. 201, 1980. 7. E. Del Gindice, §&. Deglia, and M. Milani, Phys. Lett., Oct., vol. 15A, no. 6,7; pp. 402-404, 1981. 8. LL. Landau and E. Livshits, Statistical Physics [in Russian], GITTL Press, Moscow, 1951. 9. L. 2. Balakireva et al., "Study of influence of FM radio waves On protection of marrow=-bone hemopoiesis of living animals subject to X-ray irradiation," Elektronnaya tekhnika, Seriya Elektronika SVCh, no. 8, 1981. 10. E. N. Baltibova, A. G. Borodkina, M. B. Golant, T. B. Rebrova and L. A. Sevastt- yanova, "Using amplitude modulation to increase the working efficiency of the devices of informational stimuli of electromagnetic oscillations on living organism," Elektronnaya tekhnika, Seriya Elektronika SVCh, no. 8, 1981. _— ll. V. P. Kagnacheev and P. P. Mikhailova, Very Weak Radtations {in Russian], Nauka Press, Moscow, 1981. ; , 5 April 1982 Approved For Release 2000/08/08 : CIA-RDP96-00789R003100280001-7 |
Approved For Release 2000/08/08 : CIA-RDP96-00789R003100280001-7 - Contents VOLUME 25 NUMBER 9 1982 PAGES RUSSIAN/ENGLI SH Radioelectronics’ and medicine (on scope for using certain analogies). N. D. Devyatkov, M. B. Golant, and T. B. Rebrova....eeseereeseccsecs 3 1 Adaptive quasi-coherent digital signal demodulators for fading channels. N. N. Belousov and V. E. Martirosov....ccccnccvccccevurescereseseses 8 5 Adaptive algorithm for detection of narrow-band signais in noise of un- known power and spectral shape. V. P. Peshnkov....ccsrccerssccereccs 14 10 Use of redundant coding in channels with variable parameters. . B, I. PALAPPOVe cece ces c ccc w cece reece seer er eeeeseoenererecesseseeeees 20 16 High-speed digital filters with serial processing of data places. L. M. Osinskili. and OQ. Vv. GLUSHKO. coronene cers nvr evscencrsevsreseessers 25 20 Determination of characteristic function and |Pepisson spectrum of gen- . erating process jumps from characteristic function of linear system response. B. G. Marchenko and L. D. Protsenko....ssseseevene 31 26 Quantization errors in adaptive antenna arrays. I. V. Grubrin, . O. I. Zaroshchinskil, and V. I. Samoilenko.....eeeecevecssecereceece 38 33 Detection of radio signals reflected from extended statistically . 43 38 rough surface. V. LT. Chizhov.ccccscscccncccccnarsnereresccsvevceres Transformation of equations of state variables for circuits with strict numerical degeneracies. Yu. M. Kalnikbolotskii and V. V. Khilenko... 47 43 Analysis of control voltage overshoots in load network in FET analog switches. G. F. Zverev, D. F. Zaitsev, V. A. Radchenko, and Ya. L. Khlyavich... cc ccc seve cece ene reresasesccreserrecseencccenceses 52 48 Equivalent circuit of physical processes in semiconductor structures for large signal mode. V. P. VOLnov.recccccesercccscrcsceresesccere 56 52 Characteristics of spectrum analyzer of recirculation type using charge transport devices. I. A. Balyakin, Yu. M. Egorov, and 59 55 Vv. A. ROAGZLVLLOV. wc ccc cere cere eee ere eee ers eee e rere oeeeseeeserareene Noise immunity of standard frequency discriminator with rejection of z anomalous errors in fluctuation noise conditions. A. F. Fomin, L. M. Zhuravleva, and V. S. Kostroma....cecseeceeeecceseneccerececce 64 ~=60 Brief Communications Use of a priori information on structure of correlation matrices for adaptation. v. M. KOSNEVOL. ccc cscs ner cvneeevcerereessseresresasosecs 71 65 Digital processing of narrow-band signal characteristics. 23 J 68 A. V. Zhogal and Yu. Le Svalov.rsscccnccccsccrsrecastsrcccrevesececs Estimation of noise immunity of redundant coded system with pseudo- random switching of frequencies. V. A. Lyudvig and A. M. Chudnov... 75 70 Bandwidth of tapped delay line noise compensator. B. V. Nikitchenko and V. V. POpovskiil....cesccrerscnevervccecseveses 77 73 Smoothing of trajectory measurement data by polynomials of variable order. N. D. Ogorodniichuk.....seresncvcrvecescccensrversessscssces 79 «676 Measurement of parameters of motign by comparing structures of wave 80 80 fronts. Vi. A. ChULyUkov.cscccccsceccnscvencesernevesssspesseveceene Adaptive compensation of nonlinear distortion when using compensation channel with cubic response. M. G. Kolesnik, S. V. Nikitin, and Ve Vi NAKAGCHENKO. ccc wee eect cent ew eee eset aerccreseeenereeerene 84 83 Matched filter using main maximum of signal for estimating instant - Of arrival. N. A. DOLAMin. . cece cece crc cere ecee seater eneenerececes 86 = 85 Information criteria for estimating performance of image receivers. B. O. Karapetyan...cccccesc cree seer eres nsecererserresercsssseseeces 8B 8 _ (continued) * Approved For Release 2000/08/08 : CIA-RDP96-00789R003100280001-7
Approved For Release 2000/08/08 : CIA-RDP96-00789R003100280001-7 Approved For Release 2000/08/08 : CIA-RDP96-00789R003100280001-7