RU72632U1 - SYSTEM OF THERAPEUTIC INFLUENCE ON A PATIENT BY MODULATION OF A BIOLOGICALLY ACTIVE PHYSICAL SIGNAL - Google Patents

Abstract

The utility model relates to medicine and medical technology, in particular, to automated systems for analyzing the electrophysiological signals of biological objects and adjusting the functional state of the body and can be used in clinical and outpatient practice to diagnose and correct the functional state of a biological object and to influence it with a modulated physical signal for therapeutic purposes [A61B 5/02, A61B 5/04]. The technical result of the utility model is a system that allows you to act on a biological object for therapeutic purposes without the use of medications and other expensive treatments. The desired technical result is achieved due to the fact that the system includes: a computer electroencephalograph, with appropriate software that allows recording, recording, amplitude, spectral analyzes and saving results through a computer and visually observe all the results on the monitor, stereo headphones with volume control for playback sound rhythms in various known formats through the computer’s sound card connector, a computer sound recording program whose function It is possible to create and record the spectral power of acoustic rhythms frequency modulated in the EEG rhythm ranges, and configured to determine the patient's EEG background pattern, the system also includes a modulation unit configured to frequency modulate a musical fragment or a synthesized set of sounds in the EEG ranges of delta, theta , alpha, beta-1 and beta-2 rhythms of bioelectrical activity of the brain individually or in various combinations among themselves.

Description

Application area

The utility model relates to medicine and medical technology, in particular, to automated systems for analyzing the electrophysiological signals of biological objects and adjusting the functional state of the body and can be used in clinical and outpatient practice to diagnose and correct the functional state of a biological object and to influence it with a modulated physical signal for therapeutic purposes [A61B 5/02, A61B 5/04].

State of the art

The mode of existence and the most important characteristic of biological systems are oscillatory processes (biorhythms) with periods of oscillation from milliseconds to tens of years. They reflect the dynamics of processes, states, structural and functional interaction, etc. for quasiperiodic time intervals. Quasiperiodicity is manifested in the fact that the repetition of the biological process in the rhythm is relative, each cycle is different in content from the previous one, the future value of the measured value cannot be predicted with sufficient accuracy. There are no set rhythms fixed once and for all in the body; the frequency of any of them changes in time. Cyclic vibrations of physiological processes of different levels are most suitable from an energy point of view, and the variability of the duration of these vibrations allows you to configure and reconfigure active functional relationships depending on the needs of any organ or system as a whole. The loss of the ability to dynamically balance leads to a violation of the coordinated interaction of the body's regulatory systems, with the corresponding clinical manifestations in the form of various symptoms and syndromes. In other words, the dynamics of a healthy physiological system must produce irregular and complex types of variation, while disease and aging are associated with a loss of complexity and greater regularity (Ehlers CL Chaos and complexity: can it help us to understand mood and behavior. Arhives of General Psychiatry 1995. vol. 52., P. 960-964). At the same time, functional changes occur even with minimal violations of the dynamic structure of the rhythmic pattern. The restoration of structural-dynamic relationships of biorhythms of the body allows you to cope with

pathological process and correct impaired functions (see Vasilevsky N.N., 1979; Soroko S.I. et al., 1990; Romanov S.M., 1991; Bekshaev S.S. et al., 1998; Suvorov N. B., Frolova, 2002; Svyatogor I.A. et al., 2004).

The prior art method and device, a method for correcting the functional state of a biological object and a device for its implementation (RF Patent No. 2107425, 1997). In the known method, an electrical and / or magnetic and / or electromagnetic effect is carried out on a biological structure. To increase the effectiveness of the impact, at least one of the effects is modulated by a musical fragment. The device includes means for creating said effect or a combination of such effects, which has a node for measuring at least one of the parameters of at least one of the effects. The device also has a unit for supplying a musical fragment, including in the acoustic range, the output of which is connected to the corresponding modulation input of the said means. Amplitude, frequency, phase, or pulse-width modulation allows for a shorter period of time and with a high degree of certainty to change the specified parameters of the functional state of a biological object.

The disadvantages of this method is the lack of synchronization of the information frequencies of the influencing factor with the normal rhythms of life support of the functional systems of the body at all levels of the organization.

A known method of exposure to the human body with the aim of bioadaptive correction of the functional state of a person (RF Patent No. 2096990, 1997), which consists in the fact that external sound exposure is carried out in the form of generating musical sounds by parametric changes in their height, volume and duration in a criterion dependence from changes in the discrete-current value of the characteristic generalized parameter of the frequency spectrum of the converted bio-signal - the bioelectric potential. At the same time, time intervals of the same duration are extracted from the registered graphic information on bioelectric activity, they are converted by the Fourier method to the frequency spectrum, a generalized dimensionless parameter is determined for each spectral interval, a proportional scale of musical sound parameters is built in the numerical interval between the minimum and maximum values of this parameter, determine for each spectral interval by its numerical value of the generalized parameter the corresponding beginnings of the parameters of the musical sound and convert them by means of the sound card into the sound signals generated in the sequence corresponding to the initially recorded alternation of time intervals.

There is also a method of correcting the psychophysiological state of a person (RF Patent

No. 2071361, 1997), which consists in improving the effectiveness of the correction of the psychophysiological state of a person by increasing the degree of unambiguity of the transformation of the electroencephalogram (EEG) in a biological feedback signal. The method includes modulating sound signals with human pneumogram signals and converting EEG signals into sound ones by transposing the spectrum of EEG signals into the frequency range of sound signals, which then affect a person by organizing biological acoustic feedback, the effect of the transposed signals starting at the stage of attenuation of the biological feedback feedback signals modulated by the pneumogram communication (BOS). In this case, the transposition of the spectrum of EEG signals into the frequency range of sound signals is carried out by expanding the EEG signals into a series of quasiperiodic signals and their tracking. A common drawback of the above methods and systems is the attempt to “impose” on the body (non-linear, open, dissipative system) its own rhythms, which reflect the current (including pathological) state of all structural and functional systems of the biological object. The evolution of the behavior (and development) of nonlinear systems is complex and ambiguous. Therefore, a change in external or internal parameters can cause a deviation of such a system from its unstable stationary state in any direction. By exerting a regulatory influence on this principle, without taking into account the laws of the system’s development and possible “scenarios” of its evolution, both positive and negative effects can be obtained.

A known method and device for identifying and analyzing specific specific signs of a functional state (RF Patent No. 2128004, 1999), in particular oncological diseases and pathological conditions caused by exposure to toxic (narcotic) drugs, according to the cardiac rhythmogram. In this method, the studied signal is a cardiac signal, and sequences of equal-interval waves are used as informative specific signs of a functional state. A device for analyzing electrophysiological signals consists of a switching isolation unit and a computing unit, between which a specific specific information extraction unit is introduced, counting the number of intervals from a local minimum to the next local minimum, highlighting sequences of two, three or more interval waves, the length of sequences and their array, while the computing unit is connected to the display and keyboard.

The disadvantage of the described method and device is the inability to use them to affect the biological object for therapeutic purposes, since they are a diagnostic tool.

The closest analogue is a system for recovering emotional and affective states of a person (patent for utility model of the Russian Federation No. 63201 dated 07/26/2006), consisting of a computer, computer recording software, EEG data recording sensors, stereo headphones with volume control, characterized in that it contains computer encephalograph, the function of which is to record, record, amplitude, spectral analyzes and save the results on a computer, and stereo headphones are connected through the audio jack a computer’s card, and the computer’s function is to generate sinusoidal signals, separately to the right channel of the sound recording of the carrier frequency, and to the left channel in frequency more than the right channel by an amount corresponding to the established individual average frequencies of the alpha or beta range, accurate to tenths or hundredths of a Hz; The function of a computer recording program is to create and record binaural beats.

The disadvantages of this system is the lack of synchronization of the information frequencies of the influencing factor with the normal rhythms of life support of the functional systems of the body at all levels of the organization.

The technical result of the utility model is a system that allows you to act on a biological object for therapeutic purposes without the use of medications and other expensive treatments.

Device essence

The desired technical result is achieved due to the fact that the system includes: a computer electroencephalograph with appropriate software that allows recording, recording, amplitude, spectral analysis and saving results through a computer and visually observe all the results on the monitor, stereo headphones with volume control for playback sound rhythms in various known formats through the computer’s sound card connector, a computer sound recording program whose function is The creation and recording of the spectral power of acoustic rhythms frequency modulated in the EEG rhythm ranges, and made with the possibility of determining the patient's EEG background pattern, the system also includes a modulation unit configured to frequency modulate a musical fragment or a synthesized set of sounds in the EEG ranges of delta, theta , alpha, beta-1 and beta-2 rhythms of bioelectrical activity of the brain individually or in various combinations among themselves.

Figure 1 shows a block diagram of a system device, where 1 is a computer

electroencephalograph, 2 - computer, 3 - patient, 4 - stereo headphones, 5 - encephalographic sensors, 6 - modulation unit.

The dependence of the modulating frequency on time is a curve with a maximum, the growing and falling branches of which are described by exponential dependencies with different exponents.

The frequency range and the time interval during which the modulation is carried out are determined using a mathematical model of an open, nonlinear self-regulating system. Physical signals (for example, acoustic) in a standard way through standard transmitting devices are fed to the hearing organs of a biological object.

The principle of operation of the device is as follows. At the command of the computer (2), an EEG device (1) receives a signal about the removal of EEG data from the patient (3) through sensors (5). The result of which is the recording of the EEG at rest (background) of the patient, as well as the recording of the EEG changes to open-close the patient’s eyes. Then, on a computer (2), using a program, for example, Encephalan-131-03 or NEURON-SPECTRUM-2, an analysis of the spectral power of rhythms is performed, which results in the determination of the background EEG pattern.

Then, by sequentially sorting the test acoustic signals frequency modulated in the ranges of EEG rhythms, the selection of such acoustic ranges or combinations of ranges that contribute to the normalization of the patient's EEG pattern is performed. Against the background of each exposure, an analysis is made of the spectral power of EEG rhythms and an assessment of the change in the ratio of EEG ranges towards normalization: a tendency to increase the power of alpha activity with a simultaneous decrease in theta and / or beta components.

The resulting acoustic recording is reproduced on a computer (2) and listened to by the patient (3) through stereo headphones (4).

Each test sound exposure lasts 5 minutes, a break between influences of at least 5 minutes. After each exposure, a control recording and analysis of the EEG is performed. This record is necessary for assessing the stability of changes in the pattern of bioelectric activity of the brain, the central link in regulation, imposed by sound exposure. The normalization of the ratio of the EEG ranges reflects the vertical of natural interactions between the regulatory structures of the central nervous system, accompanied by an improvement in the general somatic and psychoemotional state.

In the modulation block (6), the calculation results are compared with the external and internal parameters calculated by the mathematical model - analogues of positive and negative feedbacks in the body, variables are selected

(range / ranges and duration of modulation, exponential exponents) and modulation of a physical (e.g., acoustic) signal is performed.

The modulation unit (6) can be implemented using an example of a sound card having a stereo output, either a synthesizer or a port studio.

The therapeutic treatment of the patient is carried out by exposing him to the identified acoustic signals or their ranges, which contributed to the normalization of the patient's EEG pattern.

The operation of the system is based on the following theory.

The restoration of the dynamic structure of biorhythms is possible when exposed to the body by non-linearly modulated vibrations of any nature (mechanical, electromagnetic, etc.). Parametric oscillations quickly lose their “novelty” and become biologically insignificant. The claimed device uses sound exposure as the most easily practicable.

System analysis considers self-regulation and self-organization as a process of establishing intra-system interaction through resonance (Prigogy I., Stengers I. Order from chaos. M .: Progress, 1986.). In a nonlinear system, which is an organism (Nikolis G., Prigogine I. Cognition of the complex: Introduction. M.: Mir, 1990.

Karnaukhov A.V., Ponomarev V.O. “Dissipative resonance is a new class of physical phenomena. Some approaches to the analytical description. " Biomedical technologies and radio electronics. 2001, No. 8, pp. 23-31.), The resonance has a complex parametric nature, obeying certain laws that are available for analysis through research. The use of these laws allows for targeted correction of the dynamic structure of biorhythms and, as a result, restoration of the interaction of the regulatory systems of the body and its functional state.

Electroencephalographic studies have shown that for each patient there is an individual acoustic range or a combination of ranges that normalizes the patient's EEG pattern.

Example.

A patient suffers from polycythemia (a blood disease). The sequential presentation of a synthesized set of sounds modulated within the EEG ranges (delta, theta, alpha, beta1) showed that only upon presentation of a sound stimulus modulated in the range 13-21 Hz (beta 1) did the EEG pattern significantly change towards normalization. Listening to a suggested piece of music modulated in

within the beta 1 range for 21 days, it contributed to the stable normalization of the EEG pattern and the normalization of the blood formula disturbed as a result of the disease.

The results were carried out on the Encephalan 131-03 hardware complex.

Graphs of the frequency density of the spectral amplitude are shown in figure 2

Figure 2 (a) shows a graph before non-linear phonostimulation - polymorphic activity, it is not possible to isolate the dominant range.

Figure 2 (b) shows a graph after non-linear phonostimulation — an increase in amplitude in the alpha range and a decrease in amplitude in the delta, theta and beta ranges are noted.

The spectral power of the rhythms shown in Fig.2.

Figure 3 (a) shows a graph to non-linear phonostimulation - violation of the ratio of the spectral power of the EEG ranges.

Figure 3 (a) shows a graph after non-linear phonostimulation - there is an increase in power in the alpha range and a decrease in power in the delta, theta and beta ranges, that is, the normalization of the ratio of the spectral power of the EEG ranges.

These studies show that for each patient there is an individual acoustic range or a combination of ranges that normalizes the patient's EEG pattern.

The presentation of sound exposure, modulated within this range, allows you to quickly and purposefully modify the EEG pattern disturbed as a result of the disease. Within this range, in accordance with the calculated coefficients, both the duration of individual waves and the interval between them changed nonlinearly. Thus, it was not the frequency of acoustic vibrations that was imposed, but the algorithm for changing the frequency inherent in a healthy body. As a result of assimilation of the proposed nonlinear frequency modulation algorithm, a change in the bioelectric activity of the brain towards normalization was noted: an increase in the alpha activity power with a simultaneous decrease in theta and (or) beta components, regardless of the range within which the modulation of sound exposure was carried out. Directional regulation of EEG parameters, reflecting the state of the central link of regulation - the central nervous system, helped to restore the coordinated interaction of regulatory processes of different levels by assimilating a dynamic algorithm of the relationship of biorhythms in different scale ranges. The normalization of EEG parameters was accompanied by the normalization of other vital signs of the body: blood pressure, electrocardiograms, blood counts.

Achievement of the claimed technical result is confirmed by

clinical trial volunteers.

Example 1

Table 1 shows a comparative analysis of the heart rate variability of a patient G. 76 years old, before and after exposure to an individually selected acoustic signal modulated in the range of beta 1 brain biorhythms.

Example 2

Table 2 shows a comparative analysis of heart rate variability indicators of a patient D. 50 years old, before and after sequential exposure to individually selected acoustic signals modulated in theta / gamma range of brain biorhythms.

Example 3

Table 3 shows a comparative analysis of heart rate variability indicators of a patient D. 25 years old, before and after sequential exposure to individually selected acoustic signals modulated in the ranges of beta 1 / delta brain biorhythms.

Table 1 Indicators Unit. Background ^{* 1} Aftereffect (Beta 1) * ² Heart rate (heart rate) Bpm 78 71 IVR (Index of Autonomic Equilibrium) 901.7 110.1 VLOOK (Vegetative rhythm indicator) 0.1 0.27 PAPR (Indicator of the adequacy of regulatory processes) 90.2 29.4 IN (Tension Index) 593.2 62.6 B1 (level of regulation) % 7 87 B2 (Reserves of regulation) % 0 54 Rrnn 768 841 Sdnn 15.0 47.5 CV 2.0 5,6 Rmsd 12.8 49.3 NN50 1,0 25.0 pNN50 % 0 9 Mo 760.0 880.0 AMo % 68.64 25.87 BP 76 235 HRV-index 5 9 Hf 3.21 24.17 Lf 4.11 25.01 Vlf 7.86 112.65 Hfnu 43.87 49.14 Lfnu 56.13 50.86 LF / HF 1.28 1,03 TP 15.18 161.83 1k 0.677 0.737 mO 48 44 Z 5.5 36,2 Example 1. Patient G. 76 years * ¹ Conclusion: Vegetative regulation is impaired. Functional reserves are depleted. * ² Conclusion: Vegetative regulation is correct. The functional reserves of the body are high.

table 2 Indicators Unit. Background * ¹ Aftereffect (Theta / Gamma) * ² Heart rate (heart rate) bpm 80 69 IVR (Index of Autonomic Equilibrium) 554.8 99.9 VLOOK (Vegetative rhythm indicator) 0.14 0.32 PAPR (Indicator of the adequacy of regulatory processes) 79,4 31.7 IN (Tension Index) 385.3 56.8 B1 (level of regulation) % twenty 91 B2 (Reserves of regulation) % fifteen 67 Rrnn 742 867 Sdnn 22.5 57.4 CV 3.0 6.6 Rmsd 10.1 34.5 NN50 0 16,0 pNN50 % 0 6 Mo 720 880 AMo 57.29 27.59 BP 103 279 HRV-index 7 12 Hf 1.96 14.66 Lf 9.89 68.96 Vlf 21.82 181.97 Hfnu 16.53 17.54 Lfnu 83.47 82.46 LF / HF 5.05 4.70 TP 33.67 265.59 1k 0.888 0.897 mO 47 57 Z 18.0 60.7 Example 2. Patient D., age 50 years * ¹ Conclusion: Vegetative regulation is impaired. Functional reserves are depleted. * ² Conclusion: Vegetative regulation is normal. The functional reserves of the body are high.

Table 3 Indicators Unit. Background ^{* 1} Aftereffect * ² (beta 1 / delta) Heart rate (heart rate) 90 78 IVR (Index of Autonomic Equilibrium) 781.3 274.0 VLOOK (Vegetative rhythm indicator) 0.15 0.21 PAPR (Indicator of the adequacy of regulatory processes) 117.2 56.3 IN (Tension Index) 610.4 190.3 B1 (level of regulation) 5 41 B2 (Reserves of regulation) 8 27 Rrnn 666 764 Sdnn 17.0 29.6 CV 2.6 3.9 Rmsd 10.9 21,4 NN50 0 10 pNN50 0 3 Mo 640 720 AMo 75.09 40.55 BP 96 148 HRV-index four 8 Hf 2,57 7.85 Lf 5.52 20.64 Vlf 9.47 29.1 Hfnu 31.73 27.56 Lfnu 68.27 72.44 LF / HF 2.15 2.62 TP 17.56 57.6 1k 0.8 0.75 mО 26 28 Z 12.8 54.7 Example 3. Patient D., age 25 years. * ¹ Conclusion: Vegetative regulation is impaired. Functional reserves are depleted. * ² Conclusion: Vegetative regulation in the normal range. The functional reserves of the body are below normal.

Claims (1)

A system of therapeutic effect on a patient by modulating a biologically active physical signal, containing a computer electroencephalograph with appropriate software that allows recording, recording, amplitude, spectral analyzes and saving results through a computer and visually observe all results on a monitor, stereo headphones with volume control for sound reproduction rhythms in various known formats through the connector of the computer’s sound card, characterized in that contains a computer recording program, the function of which is to create and record the spectral power of acoustic rhythms frequency modulated in the EEG rhythm ranges, and configured to determine the patient's EEG background pattern, the system also includes a modulation unit configured to frequency modulate a musical fragment or synthesized set sounds in the EEG ranges of delta, theta, alpha, beta-1 and beta-2 rhythms of bioelectrical activity of the brain individually or in various combinations among themselves.