Nature-like technologies for the prevention and treatment of a wide range of human diseases determine promising directions for the development of the global healthcare system.
The complexity of their implementation is due to the unsolved problem of understanding the mechanism of natural regulation which provides homeostasis of the body, determining its main sources during the evolution of living nature, as well as understanding the reasons for its weakening in modern conditions. An important factor in influencing the homeostatic functions of the body is the acoustic background of natural origin. At the same time, numerous studies have established that under the influence of these musical compositions by famous composers, first of all, by V.A. Mozart, the problem of prevention and treatment of a wide range of psychosomatic diseases that develop in the body as a reaction to stress is solved. A number of researchers attribute the positive effect of listening to music to its consistency with a part of the high-frequency biorhythms of the human body. Based on the correlation processing of the spectra of musical pieces by famous composers, a high level of their connection with low-frequency fluctuations of the microwave radiation of the Sun reaching the Earth’s surface is proved. The revealed regularity can be interpreted so that the pieces of famous composers are nothing more than a reflection of real natural processes in the author's interpretation, which include the fluctuations of the microwave radiation of the Sun. The result can be used as the basis for substantiating the necessary procedure for determining certain musical compositions for their use for medicinal purposes. For a comparative assessment, the results of calculating the correlation of fluctuations of the solar microwave radiation with the singing of widely known birds, as well as with a low-frequency analogue of “white” and “pink” noises, are presented. They reflect a low correlation with natural low-frequency fluctuations of electromagnetic radiation of natural origin.
1. Fedotchev A.I., Radchenko G.S. Muzykal'naya terapiya i "muzyka mozga": sostoyanie, problemy i perspektivy issledovanii [Music therapy and “brain music” state of the art, problems and perspectives problems and perspectives]. Uspekhi fiziologicheskikh nauk = Advances in Physiological Sciences, 2013, vol. 44, no. 4, pp. 35–50.
2. Gubina S.T. Profilaktika i korrektsiya psikhicheskogo vygoraniya s pomoshch'yu muzykal'nykh psikhologicheskikh sredstv vozdeistviya [Prevention and correction of mental burnout using musical psychological means of influence]. Vestnik integrativnoi psikhologii = Bulletin of Integrative Psychology, 2009, iss. 7, pp. 76–77.
3. Campbell D.G. The Mozart effect: tapping the power of music to heal the body, strengthen the mind, and unlock the creative spirit. New York, Avon Books, 1997 (Russ. ed.: Kempbell D.Dzh. Effekt Motsarta. Minsk, Popuri Publ., 1999. 320 p.).
4. Bakshi L.S. Priroda zvukozritel'nykh obrazov: muzyka i teatr v XXI veke [The nature of sound-visual images. Music and theater in the twenty-first century]. Muzykal'naya akademiya = Music Academy, 2011, no. 1, pp. 48–55.
5. Sergienko A.B. Tsifrovaya obrabotka signalov [Digital signal processing]. 2nd ed. St. Petersburg, Piter Publ., 2006. 751 p.
6. Saidov B.B., Tambovtsev V.I., Prokopov I.I. Spectrum transformation of an amplitude-modulated signal on an ohmic nonlinear element. Vestnik YuUrGU. Seriya: Komp'yuternye tekhnologii, upravlenie, radioelektronika = Bulletin of the South Ural State University. Series: Computer Technologies, Automatic Control & Radioelectronics, 2020, vol. 20, no. 1, pp. 71–78.
7. Portnoff M.R. Short-time Fourier analysis of sampled speech. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981, vol. ASSP-29, pp. 364–373.
8. Darovskikh S.N., Shishkova Yu.S., Popechitelev E.P., Vdovina N.V. Mikrovolnovaya geliobiologiya [Microwave heliobiology]. Chelyabinsk, SUSU Publ., 2016. 99 p.
9. Darovskikh S.N., Popechitelev E.P., Vdovina N.V., Novikov I. Modern aspects of construction of information microwave therapy devices. Natural Science, 2013, no. 5, pp. 1230–1237. DOI: 10.4236/ns.2013.512150.
10. Darovskikh S.N., Vdovina N.V., Piskorskiy D.S. A solution to a problem of simulating solar microwave radiation to restore human homeostasis. 2017 International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS), St. Petersburg, 2017, pp. 370–373.
11. Griffin D., Lim J.S. Signal estimation from modified short-time Fourier transforms. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1984, vol. ASSP–32, pp. 236–243.
12. Turovsky Ya.A., Kurgalin S.D., Semenov A.G. Modelirovanie vydeleniya i analiza tsepochek lokal'nykh maksimumov veivlet-spektrov na primere signalov s izvestnymi svoistvami [Modeling of allocation and the analysis of chains of the local maximums of wavelet spectrums on the example of signals with known properties]. Sistemy upravleniya i informatsionnye tekhnologii = Automation and Remote Control, 2013, vol. 52, no. 2, pp. 24–29. (In Russian).
13. Kronland-Martinet R., Morlet J., Grossman A. Analysis of sound patterns through wavelet transformation. International Journal of Pattern Recognition and Artificial Intelligence, 2012, vol. 47, pp. 257–260.
14. Vadutov O.S. Matematicheskie osnovy obrabotki signalov [The mathematical foundations of signal processing]. Tomsk, Tomsk Polytechnic University Publ., 2011. 221 p.
15. Kalyakin I.V. Vybor chastoty diskretizatsii dlya bolee tochnogo obnaruzheniya lokal'nogo signala [Selects a sampling rate for more accurate local signal detection]. Mezhdunarodnaya konferentsiya po myagkim vychisleniyam i izmereniyam = International Conference on Soft Computing and Measurement, 2015, vol. 2, pp. 205–208, 2015.
Darovskikh S.N., Shonazarov P.M., Kolosova Z.A. O korrelyatsionnoi svyazi spektra muzykal'nykh proizvedenii izvestnykh kompozitorov s nizkochastotnymi fluktuatsiyami mikrovolnovogo izlucheniya Solntsa [On the correlation of the spectrum of musical compositions by famous composers with low-frequency fluctuations of the solar microwave radiation]. Nauchnyi vestnik Novosibirskogo gosudarstvennogo tekhnicheskogo universiteta = Science bulletin of the Novosibirsk state technical university, 2020, no. 1 (78), pp. 165–174. DOI: 10.17212/1814-1196-2020-1-165-174.