An active loopback excitation and cancellation method

Abstract

The present invention provides an active loopback excitation and cancellation method, which belongs to the field of electronic circuit technology, including: collecting environmental information based on a receiving antenna; purifying the collected information and classifying the information into fixed-frequency information and non-fixed-frequency information, matching the classified information to an existing model, and when the existing model cannot be matched but it is judged that an intervention operation is required, a new model is established, and active intervention is performed if the existing model is matched. The present invention can actively intervene after collecting environmental information for model matching, stop snoring without causing discomfort and maintaining a sleeping state, and effectively suppress environmental noise.

Description

Technical Field

[0001] The invention belongs to the technical field of electronic circuits, and in particular relates to an active loopback excitation and offset method. Background Art

[0002] Snoring produces sound and vibration, which can cause thickening of the endothelium of the internal carotid artery, thereby increasing the risk of cardiovascular disease and sudden death. Snoring and sleep apnea are both gears that start cardiovascular disease, so they are also diseases that need to be treated. We found that people who snore habitually, especially those who snore loudly, have thicker carotid arteries. Figure 1 As shown, the thickness of the carotid artery is significantly correlated with the snoring of people with higher frequencies (652 to 1500Hz) and lower frequencies (0-20Hz). In addition to the more serious sleep apnea, the blood pressure, weight, and cholesterol of patients with these frequencies of snoring are also significantly positively correlated with the snoring. When snoring, an inflammatory reaction will begin to occur in the blood vessels closest to the snoring sound (i.e., the carotid artery), and the vibration energy will also damage the vascular endothelium. The constant vibration will also act like a blender, giving bad cholesterol more opportunities to bind to the receptors of the vascular endothelium, making it easier for the carotid endothelium to bind to bad cholesterol (LDL), causing the blood vessel wall to thicken. If the snoring sound is high and low, very irregular, sometimes loud and sometimes soft, even like singing, and even includes various frequencies, you need to be particularly careful. Because according to the analysis of the snoring spectrum and sleep endoscopy, this type of snoring is often most related to the obstruction of multiple parts of the upper respiratory tract, and after going to the sleep center for a sleep examination, it is often diagnosed as severe sleep apnea.

[0003] At present, the main methods to improve snoring are wearing a respirator, a snoring stopper or adjusting the sleeping posture. According to the reference records and statistics, wearing assistive devices is likely to improve snoring, but unnatural wearing can easily cause discomfort and the public acceptance is low; and although forced sleeping posture adjustment can also achieve certain benefits, the changes in posture during sleep cannot be fully predicted and controlled.

[0004] In addition, noise is one of the key factors in determining whether the environment is good and suitable for human life. Generally, in mature urban management, there are usually noise control rules for different regions and time periods. However, existing technologies usually reduce noise generation by controlling and supervising the sound source. The means are single and usually require long-term human monitoring and intervention, which is inefficient. Summary of the invention

[0005] In order to solve the problems in the prior art, the present invention provides a non-invasive intervention technology, which measures information and sends instructions to surrounding antennas after analysis to perform active intervention.

[0006] To achieve the above object, the technical solution of the present invention is as follows:

[0007] An active loopback excitation and cancellation method comprises the following steps:

[0008] Step 1: Collect environmental information based on the receiving antenna;

[0009] Step 2: preprocessing the collected information, including: purifying the information and classifying the information into fixed-frequency information and non-fixed-frequency information, matching the classified information to an existing model, and when the existing model cannot be matched but it is determined that intervention is required, executing step 3 to establish a new model, and executing step 4 to perform active intervention if the existing model is matched;

[0010] Step 3: Establish a new model and construct the collected information into a model;

[0011] Step 4: Based on the matching model, process the information and implement proactive intervention.

[0012] Furthermore, in step 2, the non-fixed frequency information matches the physiological model, and the fixed frequency information matches the environmental model.

[0013] Furthermore, the purification process includes: assigning a corresponding frequency number to each filtered information and recording its amplitude.

[0014] Furthermore, the process specifically includes the following: for each filtered information, whether the number already exists is matched according to its frequency. If the number already exists, the frequency number count is increased by 1; if the existing number cannot be matched, a new frequency number is established for its frequency.

[0015] Furthermore, active intervention is divided into in-phase excitation and mirror phase cancellation.

[0016] Furthermore, when the physiological model is matched in step 2, intervention is performed using the same-phase excitation method in step 4.

[0017] Furthermore, when the environment model is matched in step three, intervention is performed in step four by using a mirror phase cancellation method.

[0018] Furthermore, after the in-phase excitation is performed, steps one to four are repeated again. When the same physiological model can still be matched, the transmission power is increased and the in-phase information is transmitted again for excitation intervention; when the newly collected information matches the new physiological model, the processing method of the newly matched physiological model is used for intervention. When no physiological model is matched and it is determined that no intervention is required, the excitation intervention process is terminated.

[0019] The beneficial effects of the present invention are:

[0020] The present invention can actively intervene after collecting environmental information for model matching, stop snoring without causing discomfort and maintaining a sleeping state, and can effectively suppress environmental noise. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a diagram of the breathing rate and snoring frequency of adults.

[0022] Figure 2 This is a schematic diagram of the environmental information collection process.

[0023] Figure 3 Schematic diagram of the process of motivational intervention based on physiological model in the information processing process.

[0024] Figure 4 Schematic diagram of the process of offsetting intervention based on environmental model in the information processing process.

[0025] Figure 5 Schematic diagram of the collected sound information.

[0026] Figure 6 Schematic diagram of bandpass filtering of the collected sound.

[0027] Figure 7 This is a schematic diagram of the information after filtering.

[0028] Figure 8 This is a schematic diagram of information numbering.

[0029] Fig. 9 This is a schematic diagram of information number counting. DETAILED DESCRIPTION

[0030] The technical solution provided by the present invention will be described in detail below in conjunction with specific embodiments. It should be understood that the following specific implementation methods are only used to illustrate the present invention and are not used to limit the scope of the present invention.

[0031] The active loopback excitation and cancellation method provided by the present invention can not only be used to intervene in snoring, but also effectively reduce environmental noise. When the subject begins to sleep, there are basically several stages, rest (awake state), light sleep, deep sleep...; snoring often occurs during deep sleep, so sleep intervention is: to convert the subject from a deep sleep state to a light sleep without snoring or a sleep state in which the subject does not feel uncomfortable. The method of the present invention mainly includes the following steps:

[0032] Step 1: First collect environmental sound information.

[0033] like Figure 2As shown, information is collected based on the set antenna or antenna array. The collected information is used to build the model later. There are several main sources of information, environmental dynamics, environmental statics, and subjects. The collected information can be in the form of frequency parameters or energy parameters. There are several ways to collect, including wide area, limited area, and real-time changing area. These collection methods each have their own advantages and suitable environments:

[0034] Among them, wide-area acquisition has a relatively wide angle range and can be used to establish basic environmental information. Omnidirectional antennas, antenna arrays, or both are often used for acquisition. Omnidirectional antennas, antenna arrays, or both can cover a larger range; antennas should be placed according to the required range, and the number is not limited. They are usually used in large indoor and outdoor spaces.

[0035] The angle range of limited domain acquisition is relatively concentrated, which can be used for limited range information acquisition. Directional antennas or antenna arrays are often used for acquisition; the multi-antenna architecture can form multiple beams, effectively improving the acquisition gain. Directional antennas and antenna arrays can cover the directional range; the antennas should be placed according to the required range. These two types of antennas have higher gain and are usually used in the range of the target to be observed.

[0036] The real-time variable domain is similar to the limited domain acquisition, but it can actively and intelligently turn according to the movement of the measured target to obtain more accurate information. Real-time variable domain directional antenna or antenna array acquisition; through calculation, the mechanism can turn in real time to adjust the angle, or beamforming can increase additional benefits and change the angle as the target moves. If the subject moves, the antenna field shape is adjusted through loop analysis and beamforming; since a single action may not be able to track the correct position, this method can continuously analyze and rotate, gradually approaching the correct position. One-dimensional distance and two-dimensional / three-dimensional space layout can be established through the antenna array. When arranging antennas, they are arranged according to the antenna field type and effective angle, and after the arrangement, the arrangement position is corrected by repeatedly calculating the reflected signals transmitted and received by each antenna. Based on the antenna arrangement, the space within the antenna coverage range is scanned and updated regularly. Based on this, after the object to be measured enters the space, the coordinate position of the object can be marked. Under this acquisition method, the measurement method can use the same frequency or higher frequency to obtain more accurate location information.

[0037] Antenna arrays can be used in a one-to-many approach or a many-to-many architecture.

[0038] The one-to-many architecture is characterized by using the same source and expanding it into antenna branches, with the number of branches logarithmically proportional to the gain. Each branch point is in phase.

[0039] The many-to-many architecture is characterized by the use of different sources, which can be branched or single-point. Among them, the branches using the same source are in phase, while different sources can be in different phases, which can be programmed by algorithms based on the application and propagation spatial effects. The many-to-many architecture has beamforming capabilities, can establish a spatial layout diagram, and can intelligently and dynamically update the beam angle in conjunction with the spatial layout diagram.

[0040] The antenna of the present invention comprises a receiving antenna and a transmitting antenna. The receiving antenna is mainly used for collecting information, while the transmitting antenna is used for active intervention.

[0041] Step 2: pre-process the collected information.

[0042] The parameters of information are usually frequency and energy; therefore, the obtained information, mainly the energy located at the frequency, is classified and processed accordingly.

[0043] With information collection and analysis, the target information changes can be observed and a decision can be made whether to stop processing the information. Stop rules can be preset, such as when snoring stops for a period of time or when certain information stops being generated for a period of time, it means that no intervention is needed and subsequent processing is stopped.

[0044] Specifically, this step includes the following sub-steps:

[0045] 1. Based on the information collected in step 1, purify the information. Purification methods include but are not limited to: filtering, removing occasional information, etc. In this example, the original sound information collected is as follows: Figure 5 As shown, the filtering frequency range is generally the human hearing range, such as Figure 6 As shown, in this example, the bandpass filter range is 20-20000Hz, and the information after filtering is as follows Figure 7 Each piece of information contains the acquisition time. The present invention assigns a corresponding frequency code number to each signal after filtering and records its amplitude. The numbered signal is as follows: Figure 8 As shown. In the continuous information collection process, for each filtered signal, first match its frequency to see if there is an existing code number. If there is an existing code number, the frequency code number count is +1. If the code number cannot be matched, a new frequency code number is established for the repeated signal. If a frequency code no longer appears repeatedly (for example, it no longer appears within a preset period of time, or the frequency signal no longer appears during collection within a regular time period), then delete its existing frequency code number. After a period of collection, the coding and counting of each signal are as follows Fig. 9 shown.

[0046] 2. Classify the information into fixed-frequency information and non-fixed-frequency information. Information that cannot be classified as above will be classified as unclassifiable information.

[0047] Through the collection and purification of information based on step 1 over a period of time, when there is a certain relationship between the information within a period of time (for example, the volume continues to drop / rise, the sound has periodic changes, etc., and the rules for determining the relationship between the previous and subsequent information can be pre-set) or appear at the same time, then these information are considered to be related and are non-fixed frequency information. If there is no correlation between the information, it appears independently, and the sound is maintained for a long enough time without periodic changes, then it is non-fixed frequency information that exists separately. Otherwise, it is unclassifiable information.

[0048] 3. Match the classified information to the existing model, and match different models to different categories of information. Non-fixed frequency information matches the physiological model, such as Figure 2 As shown, it can be matched to physiological model #1, physiological model #2 or other physiological models. Fixed frequency information matches the environmental model, which can be matched to environmental model #1, environmental model #2 or other environmental models. When an existing model cannot be matched but it is determined that intervention is required (for example, the volume is lower than the threshold, or there is no snoring or apnea), step three is executed to establish a new model. If an existing model is matched, step four is executed for active intervention.

[0049] The matching model can be set as needed, preferably matching specific parameters in the model. In this example, the environmental model sets the volume matching threshold, for example: the matching volume of environmental model #1 is 10dB, and the matching volume of environmental model #2 is 20dB... The physiological model sets the period and volume / frequency matching threshold, for example, the physiological model #1 has a regular volume change within a certain period and the highest volume is not less than 40dB, and the physiological model #2 has a respiratory arrest number of more than 3 times...

[0050] Step three: build the model.

[0051] According to different time distributions, the collected information is constructed into models. The models can be basically classified into environmental static, environmental dynamic and subject physiological models; different subjects correspond to their own physiological models; model parameters can exist separately or simultaneously in the same time period. In addition to the system example model, the newly established model is generally stored in the system memory by default.

[0052] In this example, the environmental model parameters include: spatial fixed audio, indoor / outdoor noise, sudden sound, etc. Other parameters can also be introduced as needed. The physiological model parameters include the following parameters: respiratory rate, snoring frequency, apnea-hypopnea frequency, and other parameters can also be introduced as needed.

[0053] The information collected in step 1 can be calculated through open-loop and closed-loop calculations; the real-time change domain can also use loop approximation calculations to obtain more accurate information. Among them, open-loop calculation is a one-way receiving method, and the information is simply the amplitude change. Continuous and regular information can be used as basic environmental information (blank measurement); discontinuous information can be classified according to amplitude and frequency to establish different models. Closed-loop calculation is a two-way transmission and reception method. In addition to the open-loop characteristics, the antenna can also send information to perform ranging through reflection. Ranging can more accurately locate the position of information of different frequencies, thereby making the definition of the model more complete. In the above calculations, the antenna position is pre-set and the link gain is known information.

[0054] After the model is imported into the server, it is improved through statistical analysis, intelligent learning, etc., and a threshold is established. Multiple thresholds can be established according to different purposes.

[0055] When the model is established, the corresponding processing method should be set. For example, when the volume is higher than 60dB in environmental model #6, the antenna sends out reduced or nearly equal-amplitude image information for cancellation. When the highest volume is higher than 50dB in physiological model #3, the most frequently occurring frequency in the cycle is selected to send a certain amount of reduced in-phase interference energy. The processing method can pre-set some alternative implementation methods so that it can be automatically set when the model is established.

[0056] Therefore, the established model should at least include key parameters that can be used for matching and corresponding treatment intervention operations.

[0057] Step 4: Based on the matching model, process the information and implement proactive intervention.

[0058] After matching the collected information to specific models in step three, the thresholds of each model are obtained. When the subject's information is lower than the threshold, no intervention is performed and the information data is continuously imported for analysis. When the data in the information is higher than the threshold, the system begins to actively intervene until the data in the updated information is lower than the threshold, and then the intervention is stopped, but normal information collection and analysis is still maintained. Active intervention is divided into in-phase excitation and mirror phase cancellation. In-phase enhancement can produce an excitation effect that can affect the sleep state and relieve the subject's snoring; in addition, mirror phase reduction can suppress environmental noise.

[0059] There are two specific interventions:

[0060] Excitation: Implementing information of the same phase to the target information; when the information of the same phase overlaps, the energy increases; when it reaches a certain amplitude, the test target will begin to resonate, that is, vibrate.

[0061] Cancellation: Mirror phase information is applied to target information; when mirror phase information overlaps, the energy is canceled out; the purpose of cancellation is to reduce the impact of the target information.

[0062] The excitation or cancellation can be applied once or multiple times, or can be implemented simultaneously. The transmitting antenna can also adopt one or more methods of wide area, limited area and real-time variable area like the receiving antenna.

[0063] When classified into physiological models, motivational methods are usually used, such as Figure 3 As shown, after threshold establishment and comparison of spatial layout parameters, the in-phase information is transmitted through the antenna for excitation. The frequency of the in-phase information is the same as that of the physiological model. In-phase information of one or more frequencies can be transmitted in one intervention. Spatial loss compensation and calibration are performed when transmitting information. After compensation, the initial transmission power should be reduced (back-off) below the noise level before reaching the observation target. The physiological model is a real-time amplitude change. The initial physiological model and the model update process are recorded in the server memory in parallel. After the in-phase excitation, steps 1 to 4 are repeated again. When the same physiological model can still be matched, the transmission power is increased (such as increasing by 0.5dB) and the in-phase information is transmitted again for excitation intervention. When the newly collected information matches the new physiological model, the processing method of the newly matched physiological model is used for intervention. When no physiological model is matched and it is determined that intervention is not required, the excitation intervention process is terminated.

[0064] When classified into environmental models, offsetting interventions are usually used. Figure 4 As shown, after establishing the threshold and comparing the spatial layout parameters, the mirror phase information is transmitted through the antenna for cancellation. Repeat steps one to four. When the collected information matches the environmental model below the threshold, the mirror phase information is transmitted at the same transmission frequency to continue the cancellation operation. When the environmental model is matched to be higher than the threshold, the transmission power is increased (such as increasing by 0.5dB) and the mirror phase information is transmitted again to cancel the operation. When there is no information that requires intervention or only the transmitted mirror phase information is observed, the cancellation intervention process ends. The frequency of the mirror phase information is the same as the environmental model. The environmental model can be continuously adjusted and updated with the feedback of the intervention results. The initial model and the update process should be recorded in the server memory for later model matching.

[0065] When performing active intervention, the position of the object to be interfered with can be obtained through the antenna in combination with the aforementioned spatial arrangement and the coordinates of the object. Preferably, a rotatable antenna is used to transmit and receive signals aimed at the object position, so as to maximize the use of energy.

[0066] It should be noted that the above content only illustrates the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. For ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications all fall within the protection scope of the claims of the present invention.

Claims

1. An active loopback excitation and cancellation system, characterized in that: Used to implement the following steps: Step 1: Collect environmental information based on the receiving antenna; Step 2: preprocessing the collected information, the preprocessing includes: purifying the information and classifying the information into fixed-frequency information and non-fixed-frequency information, matching the classified information to an existing model, matching the non-fixed-frequency information to a physiological model, and matching the fixed-frequency information to an environmental model; when an existing model cannot be matched but it is determined that an intervention operation is required, executing step 3 to establish a new model, and if an existing model is matched, executing step 4 to perform active intervention; Step 3: Establish a new model, construct the collected information into a model, and establish the model threshold; In step four, based on the matched model, the information is processed and active intervention is implemented; when step two matches the physiological model, intervention is performed using the same-phase excitation method; when step two matches the environmental model, intervention is performed using the mirror phase cancellation method.

2. The active loopback excitation and cancellation system according to claim 1, characterized in that: The purification process includes: assigning a corresponding frequency number to each filtered information and recording its amplitude.

3. The active loopback excitation and cancellation system according to claim 2, characterized in that: Specifically, the process includes the following: for each filtered information, determine whether the frequency already has a number. If so, add 1 to the frequency number count. If no existing number is matched, create a new frequency number for the frequency.

4. The active loopback excitation and cancellation system according to claim 1, characterized in that: Active intervention is divided into in-phase excitation and mirror phase cancellation.

5. The active loopback excitation and cancellation system according to claim 4, characterized in that: After the in-phase excitation, steps one to four are repeated again. When the same physiological model can still be matched, the transmission power is increased and the in-phase information is transmitted again for excitation intervention. When the newly collected information matches the new physiological model, the processing method of the newly matched physiological model is used for intervention. When no physiological model is matched and it is determined that no intervention is required, the excitation intervention process is terminated.

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