Method for reducing noise of blood glucose monitoring signals, readable storage medium and management system

Abstract

The application provides a method for reducing blood glucose monitoring signal noise, a readable storage medium and a blood glucose management system, comprising: extracting noise characteristics of collected blood glucose monitoring signals; judging signal noise sources and frequency sizes according to the noise characteristics and combining current signal collection settings and signal filtering settings; and adjusting the current signal collection settings and the signal filtering settings according to a preset logic according to the judgment result. That is, by monitoring noise characteristics in real time, the signal collection settings and the signal filtering settings are adjusted in real time according to noise characteristics, so that the accuracy of continuous blood glucose monitoring signals can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical devices, in particular to a method for reducing noise of blood glucose monitoring signals, a readable storage medium and a blood glucose management system. BACKGROUND

[0002] Continuous glucose monitoring (CGM) refers to a monitoring technology for indirectly reflecting blood glucose level by monitoring glucose concentration of interstitial fluid in subcutaneous tissue through a glucose sensor. In recent years, the use of CGM devices as a wearable medical device to replace fingertip blood glucose meters has gradually increased.

[0003] The data collected by CGM is affected by various external interferences, and the sources and characteristics of these interferences have different manifestations. The existing technology only uses software for subsequent filtering and noise reduction processing, and cannot reduce noise interference during signal collection. SUMMARY

[0004] The present application aims to solve the problem that the existing CGM technology cannot reduce noise interference during signal collection.

[0005] To solve the above technical problems, the present application provides a method for reducing noise of blood glucose monitoring signals, comprising:

[0006] S11, extracting noise characteristics of collected blood glucose monitoring signals;

[0007] S12, judging the source and frequency of signal noise according to the noise characteristics, in combination with the current signal collection settings and signal filtering settings; and

[0008] S13, adjusting the signal collection settings and the signal filtering settings according to the result of S12 according to a preset logic.

[0009] Optionally, in the method for reducing noise of blood glucose monitoring signals, the signal collection settings include settings of collection mode, sampling rate and sampling time zone.

[0010] Optionally, in the method for reducing noise of blood glucose monitoring signals, the collection mode includes direct current mode and electrochemical impedance spectroscopy mode.

[0011] Optionally, in the method for reducing noise of blood glucose monitoring signals, the preset logic includes:

[0012] If it is judged that there is external electromagnetic interference, the current collection mode is adjusted to direct current mode, and the current sampling rate is adjusted to a first sampling rate and the current sampling time zone is adjusted to a first sampling time zone according to the subharmonic of external electromagnetic interference;

[0013] if it is judged that there is random noise interference, adjusting the current acquisition mode to electrochemical impedance spectroscopy mode, adjusting the current sampling rate to a second sampling rate, and adjusting the current sampling time zone to a second sampling time zone;

[0014] if it is judged that there is no noise interference, adjusting the current acquisition mode to direct current mode, adjusting the current sampling rate to a third sampling rate, and adjusting the current sampling time zone to a third sampling time zone;

[0015] wherein the third sampling rate < the second sampling rate < the first sampling rate < the initial sampling rate, and when the sampling rate is reduced, the continuous acquisition time of the sampling time zone is extended under the same acquisition mode.

[0016] Optionally, in the method for reducing blood glucose monitoring signal noise, the first sampling rate is 250n·(k+1)Hz, n is equal to 1 or 2, k represents a harmonic, and k≥1.

[0017] Optionally, in the method for reducing blood glucose monitoring signal noise, the initial setting of the signal acquisition setting includes that the acquisition mode is direct current mode and the initial sampling rate is not less than 750Hz.

[0018] Optionally, in the method for reducing blood glucose monitoring signal noise, the method further includes:

[0019] if, after adjusting the signal acquisition setting, it is detected that the noise interference is higher than the noise threshold set under the current signal acquisition setting, adjusting the signal acquisition setting to the initial setting.

[0020] Optionally, in the method for reducing blood glucose monitoring signal noise, the signal filtering setting includes setting the acquired signal to one of moving average filtering, moving median filtering, low-pass filtering, and Kalman filtering.

[0021] Optionally, in the method for reducing blood glucose monitoring signal noise, the initial setting of the signal filtering setting is moving average filtering or Kalman filtering.

[0022] Optionally, in the method for reducing blood glucose monitoring signal noise, the method further includes:

[0023] adjusting the method for extracting the noise features according to the result of judging the signal noise.

[0024] Optionally, in the method for reducing blood glucose monitoring signal noise, the method for extracting the noise features includes:

[0025] extracting the noise feature directly from the collected blood glucose monitoring signal or extracting the noise feature by comparing the difference between the collected blood glucose monitoring signal before and after filtering.

[0026] Optionally, in the method for reducing noise of blood glucose monitoring signal, the method for extracting the noise feature directly from the collected blood glucose monitoring signal comprises at least one of Fourier transform, wavelet transform, calculating Kalman filter parameters and root mean square.

[0027] The method for extracting the noise feature by comparing the difference between the collected blood glucose monitoring signal before and after filtering comprises calculating the zero-crossing rate and / or root mean square of the difference between the collected signal before and after filtering.

[0028] Optionally, in the method for reducing noise of blood glucose monitoring signal, the initial setting of the method for extracting the noise feature is Fourier transform.

[0029] Optionally, in the method for reducing noise of blood glucose monitoring signal, if the noise feature is extracted by Fourier transform in S11, S FFT , S12 comprises:

[0030] If S FFT satisfies:

[0031]

[0032] it is judged that the source and frequency of signal noise are external electromagnetic interference;

[0033] If S FFT satisfies:

[0034]

[0035] it is judged that the source and frequency of signal noise are random noise interference;

[0036] If S FFT satisfies:

[0037]

[0038] it is judged that the source and frequency of signal noise are non-noise interference;

[0039] wherein thre represents the noise threshold set in the current filtering setting mode.

[0040] The application further provides a readable storage medium, wherein the readable storage medium stores a computer program, and the computer program is executed by a processor to realize the method for reducing noise of blood glucose monitoring signal.

[0041] The application further provides a blood sugar management system, comprising a readable storage medium and a processor, wherein the readable storage medium stores the computer program, and the processor is used for executing the computer program and realizing the method for reducing noise of blood sugar monitoring signal.

[0042] In conclusion, the method for reducing noise of blood sugar monitoring signal, the readable storage medium and the blood sugar management system provided by the application comprise the following steps: extracting noise features of collected blood sugar monitoring signal; judging noise source and frequency size according to the noise features and combining current signal collection setting and signal filtering setting; and adjusting the current signal collection setting and the signal filtering setting according to the judging result. That is, by monitoring noise features in real time, the signal collection setting and the signal filtering setting are adjusted in real time according to the noise features, so that the accuracy of continuous blood sugar monitoring signal can be improved while reducing energy consumption. BRIEF DESCRIPTION OF DRAWINGS

[0043] Figure 1 The flow chart of the method for reducing noise of blood sugar monitoring signal provided by the embodiment of the application is shown in the figure.

[0044] Figure 2 The composition block diagram of the electronic device provided by the embodiment of the application is shown in the figure.

[0045] Figure 3 The determination flow chart of adjusting the signal collection setting and the signal filtering setting in the embodiment of the application is shown in the figure. DETAILED DESCRIPTION

[0046] In order to make the purpose, advantages and characteristics of the application more clear, the application is described in detail below in combination with the drawings and specific embodiments. It should be noted that the drawings are very simplified and not drawn in proportion, and are only used to facilitate and clearly assist the purpose of explaining the embodiment of the application. In addition, the structure shown in the drawings is often a part of the actual structure. In particular, the emphasis of each drawing is different, and sometimes different proportions are used. It should also be understood that, unless specifically described or indicated, the terms "first", "second", "third" and the like in the description are only used to distinguish the components, elements, steps and the like in the description, and are not used to represent the logical relationship or sequence relationship between the components, elements, steps and the like.

[0047] Please refer to Figure 1 The embodiment of the application provides a method for reducing noise of continuous glucose monitoring (CGM) signal in real time, comprising the following steps:

[0048] S11, extracting noise features of collected blood sugar monitoring signal;

[0049] S12, judging the noise source and the noise frequency according to the noise characteristic, and combining the current signal collection setting and the signal filtering setting; and

[0050] S13, adjusting the signal collection setting and the signal filtering setting according to the result of S11.

[0051] Correspondingly, as shown in Figure 2 the embodiment also provides an electronic device, which comprises:

[0052] a noise characteristic extraction module 100, configured to extract the noise characteristic of the collected blood glucose monitoring signal;

[0053] a mode adjustment module 200, configured to judge the noise source and the noise frequency according to the noise characteristic extracted by the noise characteristic extraction module 100, and combining the current signal collection setting and the signal filtering setting, and adjust the signal collection setting and the signal filtering setting according to the result.

[0054] It can be understood that the noise characteristic extraction module 100 is configured to execute the above step S11 in the method for reducing the noise of the blood glucose monitoring signal provided by the embodiment, and the mode adjustment module 200 is configured to execute the above steps S12 and S13 in the method for reducing the noise of the blood glucose monitoring signal provided by the embodiment. That is, the method for reducing the noise of the CGM signal in real time and the electronic device provided by the embodiment can improve the accuracy of the CGM signal by monitoring the noise characteristic in real time, and adjusting the signal collection setting and the signal filtering setting according to the noise characteristic.

[0055] The above steps S11-S13 are described in further detail below.

[0056] In step S11, the noise characteristic can be directly extracted from the collected blood glucose monitoring signal, or the noise characteristic can be extracted by comparing the difference between the collected blood glucose monitoring signal before filtering and after filtering.

[0057] Optionally, the method for directly extracting the noise characteristic from the collected blood glucose monitoring signal comprises one or more of Fourier transform, wavelet transform, calculating Kalman filter parameters and calculating the root mean square.

[0058] Optionally, the method for extracting the noise characteristic by comparing the difference between the collected blood glucose monitoring signal before filtering and after filtering comprises calculating the zero-crossing rate and / or the root mean square of the difference between the collected blood glucose monitoring signal before filtering and after filtering.

[0059] In step S11, the CGM signal is collected under the current signal collection setting and the current signal filtering setting, and the noise feature of the collected CGM signal is extracted. Preferably, the method for extracting the noise feature includes an initial filtering setting of Fourier transform, and the signal spectrum S FFT which can be used to determine whether there is external electromagnetic interference.

[0060] In step S12, the signal collection setting includes a collection mode, a sampling rate fs, and a sampling time zone S zone .

[0061] The collection mode can include a direct current (DC) mode and an electrochemical impedance spectroscopy (EIS AC) mode. The sampling rate fs satisfies 0.1Hz < fs < 1000Hz. The sampling time zone S zone can be represented as:

[0062]

[0063] wherein T z represents the length of time of sampling opening (ADC ON), T·0.001 ≤ T z ≤ T·0.5, and n represents the sampling period. For example, T = 10s, T z = 0.5T = 5s, which means that the signal collection setting is continuous sampling at 0s-5s and no sampling at 5s-10s.

[0064] In this embodiment, preferably, the initial setting of the signal collection setting includes that the collection mode adopts the DC mode and the sampling rate fs is not less than 750Hz. The selection of this sampling mode and sampling rate can facilitate the determination of whether there is noise interference.

[0065] Under the above initial filtering setting and signal collection setting, it can be determined that the noise source and the noise frequency size belong to the existence of external electromagnetic interference, the non-existence of noise interference, or the non-existence of obvious noise interference.

[0066] In this embodiment, preferably, step S12 further includes adjusting the method for extracting the noise feature according to the determination of the signal noise.

[0067] Specifically, the method of extracting the noise feature can be set based on the number of signal noises and the analysis requirement of the signal noises. For example, if the signal spectrum or random noise interference is required, the Fourier transform is used to extract the noise feature; if obvious noise interference occurs, the zero-crossing rate of the difference between the collected signal before and after filtering is used to extract the noise feature; if the number of signal noises is small, the root mean square is used to extract the noise feature, and so on. In this case, it is not necessary to list all the methods, but it is understood that different methods of extracting the noise feature have different energy consumption and different applicable number and type of noise interference. Therefore, based on the judgment of the noise source and the frequency size, the method of extracting the noise feature can be selected from the above methods to reduce the energy consumption as much as possible and to give an accurate extraction method according to the noise feature. It should be noted that the above-mentioned methods of extracting the noise level do not constitute a limitation on the present application, and other applicable methods of extracting the noise level can be selected according to the requirements in actual application.

[0068] In step S13, the preset logic includes:

[0069] If it is judged that there is external electromagnetic interference, the current collection mode is adjusted to the DC mode, and the current sampling rate is adjusted to the first sampling rate and the current sampling time zone is adjusted to the first sampling time zone according to the subharmonic of the external electromagnetic interference;

[0070] If it is judged that there is random noise interference, the current collection mode is adjusted to the EIS AC mode, and the current sampling rate is adjusted to the second sampling rate and the current sampling time zone is adjusted to the second sampling time zone;

[0071] If it is judged that there is no noise interference, the current collection mode is adjusted to the DC mode, and the current sampling rate is adjusted to the third sampling rate and the current sampling time zone is adjusted to the third sampling time zone;

[0072] Wherein, the third sampling rate < the second sampling rate < the first sampling rate < the initial sampling rate, the adjustment of the sampling time zone is related to the adjustment of the sampling rate. Generally, under the same collection mode, when the sampling rate is adjusted to be relatively low, the continuous collection time of the sampling time zone can be appropriately prolonged, so that the signal collected under the collection rate and the sampling time zone can be presented in a complete waveform, thereby facilitating signal noise analysis. Of course, when the sampling rate is adjusted to be relatively low, the sampling rate can be reduced only in different sampling modes, and the sampling time zone remains unchanged.

[0073] The DC mode has low power consumption and can only obtain the current signal of the sensing electrode, which is applicable to the situation where the noise interference is relatively stable or there is no obvious noise interference; the EIS AC mode has high power consumption, but can obtain information at different frequencies through impedance spectroscopy, and can avoid bias error. When there is random noise interference, the signal obtained through the EIS AC mode can be used to judge whether there is a fault in the sensing electrode, and the current state of the sensing electrode can be judged more accurately.

[0074] When setting the sampling rate, except for the case of external electromagnetic interference, preferably, the first sampling rate and the first sampling time zone are adjusted according to the sub-harmonics of the external electromagnetic interference. In other cases, fixed values can be set to meet the sampling requirements. For example, the first sampling rate is set according to the sub-harmonics of the external electromagnetic interference, and the first sampling rate fs = 250n·(k + 1)Hz, where n is equal to 1 or 2, k represents the sub-harmonic, and k≥1; the second sampling rate and the third sampling rate are fixed values, but 0.1Hz < fs < 1000Hz. On the one hand, it is necessary to meet the sampling requirements, and on the other hand, it is necessary to reduce the power consumption as much as possible. The second sampling rate can be set to 100Hz, and the third sampling rate can be set to 0.1Hz, but the present application is not limited thereto.

[0075] In addition, preferably, step S13 further includes: if, after adjusting the signal acquisition setting, the detected noise interference is higher than the noise threshold under the current signal filtering setting, the signal acquisition setting is adjusted to the initial setting to determine again what kind of noise interference exists.

[0076] Some embodiments of the method for reducing the noise of blood glucose monitoring signals provided by the present invention are specifically exemplified below. It should be noted that in the following description, the values in each parentheses represent the specific values of each corresponding setting.

[0077] After each startup of the CGM, both the signal acquisition setting and the signal filtering setting are in the initial setting. The initial setting R_P0 of the signal acquisition setting is: DC mode, fs(1000Hz), S <* zone (T = 5s, T <* z = T·a <* t = T <* z,init ≥1s), where a <* t represents the proportion value of the ADC ON time in the T cycle under the initial signal acquisition setting, and the initial state F_P0 of the filtering setting is: moving average filtering (50≤N≤200). As Figure 3 shown, after obtaining the CGM signal under the initial signal acquisition setting and the signal filtering setting, the Fourier transform is used to extract the signal spectrum S <* FFT , which is used for the judgment of the adjustment of the signal acquisition setting and the filtering setting. It includes the following three cases:

[0078] (1) If multiple S are monitored FFT If there is external electromagnetic interference of 50Hz to 60Hz and its k+1 (k≥1)th harmonic, but other noise components are very weak, then it is determined that external electromagnetic interference exists, i.e., S FFT If the following conditional relationship is met, it can be determined that other noise components are very weak and that external electromagnetic interference exists:

[0079]

[0080] Where thre represents the set noise threshold; for example, when k is 1, the above relationship means: if S is detected in the range of 48-52Hz... FFT，48～52Hz The noise threshold (thre) set in the current filtering mode is greater than the threshold value. 48～52Hz Furthermore, the noise outside the 48-52Hz range is less than the noise threshold set in the current filter setting mode. f This indicates the presence of electromagnetic interference in the 48–52 Hz range.

[0081] At this point, adjust the signal acquisition settings to: DC mode, fs (250 kHz), S zone (T=T DC =5s,T z =T·b t =T z,b b t t ), where b t This represents the proportion of ADC ON time to T cycles in a mode where electromagnetic interference exists but other noise components are very weak. The signal filtering setting is adjusted to: moving average filter (N = 5·(k+1)). The difference yy before and after signal filtering is compared. f Zero-crossing rate (ZC) is used to extract noise features ε = ε ZC , Figure 3 The signal acquisition and filtering settings are represented by Mode 1. This is achieved by comparing the difference yy before and after signal filtering. f When using the zero-crossing rate (ZC) to extract noise features to determine the noise source and frequency, this method consumes little energy.

[0082] (2) If multiple S FFT The energy of multiple spectral components is greater than the noise threshold set in the current filter setting mode. f And there exists a greater than If there is a large amplitude random noise at Hz, but no obvious electromagnetic interference at 50-60Hz, then the detected noise is determined to be random noise interference, i.e., S FFT satisfy:

[0083] ​

[0084] wherein thre represents a set noise threshold; for example, when k = 1, the above relationship indicates that if S48-52Hz monitored in the range of 48-52Hz is less than the noise threshold thre set in the current filter setting mode, and greater than S48-52Hz set in the previous filter setting mode, it indicates that there is random noise interference. FFT，48～52Hz less than the noise threshold thre set in the current filter setting mode 48～52Hz , and greater than S48-52Hz set in the previous filter setting mode FFT greater than the noise threshold thre set in the current filter setting mode f , it indicates that there is random noise interference.

[0085] At this time, the signal acquisition setting is adjusted to: EIS AC mode, fs(100Hz), S zone (T = T AC = 10s > T DC , T z = T · 0.05 = 500ms), and the signal filter setting is adjusted to: moving average filter (N = 50), and the Fourier transform is still used to extract the signal spectrum S FFT , Figure 3 The signal acquisition setting and signal filter setting at this time are represented by mode two.

[0086] (3) If multiple S FFT There is no noise (i.e., the noise interference is lower than the set threshold), and the signal is stable, it is considered that there is no obvious noise interference. That is, S FFT satisfies:

[0087]

[0088] wherein thre represents a set noise threshold; for example, when k = 1, the above relationship indicates that if S48-52Hz monitored in the range of 48-52Hz is less than the noise threshold thre set in the current filter setting mode, and greater than S48-52Hz set in the previous filter setting mode, it indicates that there is random noise interference. FFT,48～52Hz less than the noise threshold thre set in the current filter setting mode 48～52Hz , and greater than S48-52Hz set in the previous filter setting mode FFT greater than the noise threshold thre set in the current filter setting mode f , it indicates that there is random noise interference.

[0089] At this time, the signal acquisition setting is adjusted to: DC mode, fs(0.1Hz), S zone (T = 10s, T z = T · 0.1 = 1s), and the signal filter setting is adjusted to: moving average filter (N = 5), and the noise feature ε = ε f is extracted by comparing the root mean square (RMS) of the difference y-y RMS , Figure 3The signal acquisition setting and the signal filtering setting are represented by mode 3.

[0090] Further, after switching from the initial signal filtering setting (Fourier transform) to other settings (e.g. Fourier transform with a smaller acquisition frequency, zero-crossing rate, root mean square), if noise interference ε ZC 、S FFT is detected, which is higher than the noise threshold set under the current signal filtering setting, i.e. it is determined that the noise cannot be eliminated under the signal filtering setting, the signal acquisition setting and the filtering setting are restored to the initial settings, and the set value of the initial sampling rate is increased, so that S FFT , thereby enabling the execution of S11 and S12 to determine the specific noise interference.

[0091] The embodiment also provides a readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the method for reducing blood glucose monitoring signal noise.

[0092] The readable storage medium can achieve the specific description of the functions as described above in the part of the method for reducing blood glucose monitoring signal noise Figure 1 , and the related description of steps S11-S13 is not repeated. In addition, the readable storage medium can achieve similar technical effects as the method for reducing blood glucose monitoring signal noise, which is not repeated here.

[0093] The readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The machine-readable storage medium can be, for example but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the machine-readable storage medium include the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, and any suitable combination of the foregoing. The computer program described herein can be downloaded to the respective computing / processing device from the readable storage medium, or downloaded to an external computer or external storage device through a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The computer program can be executed entirely on the user computer, partially on the user computer, as a separate software package, partially on the user computer and partially on a remote computer, or entirely on a remote computer or server.

[0094] The application further provides a blood sugar management system, comprising a readable storage medium and a processor, the readable storage medium has the computer program stored thereon, and the processor is used for executing the computer program and realizing the method for reducing noise of blood sugar monitoring signal.

[0095] In conclusion, the method for reducing noise of blood sugar monitoring signal, the readable storage medium and the management system provided by the application comprise: extracting noise characteristics of collected blood sugar monitoring signal; judging noise source and frequency size according to the noise characteristics and combining current signal collection setting and signal filtering setting; and adjusting the current signal collection setting and the signal filtering setting according to the judging result according to preset logic. That is, by monitoring noise characteristics in real time, the signal collection setting and the signal filtering setting are adjusted in real time according to noise characteristics, so that the accuracy of continuous blood sugar monitoring signal can be improved.

[0096] In addition, it should be recognized that, although the application has been disclosed as above with preferred embodiments, the above embodiments are not used to limit the application. For any skilled person in the art, many possible changes and modifications or equivalent embodiments of equivalent changes can be made to the technical solution of the application by using the disclosed technical content without departing from the scope of the technical solution of the application. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the application without departing from the content of the technical solution of the application still belongs to the protection scope of the technical solution of the application.

Claims

1. A method of reducing noise in a blood glucose monitoring signal, characterized by, The method comprises the following steps: S11, extracting noise characteristics of collected blood glucose monitoring signals; S12, judging noise source and frequency according to the noise characteristics, and combining current signal collection settings and signal filtering settings, wherein the signal collection settings include settings of collection mode, sampling rate and sampling time zone, and the signal filtering settings include settings of signal filtering mode and filtering frequency; S13, adjusting the signal collection settings and the signal filtering settings according to the result of S12 according to preset logic; The preset logic includes: If it is judged that there is external electromagnetic interference, the current collection mode is adjusted to direct current mode, and the current sampling rate is adjusted to a first sampling rate and the current sampling time zone is adjusted to a first sampling time zone according to the subharmonic of external electromagnetic interference; If it is judged that there is random noise interference, the current collection mode is adjusted to electrochemical impedance spectroscopy mode, and the current sampling rate is adjusted to a second sampling rate and the current sampling time zone is adjusted to a second sampling time zone; If it is judged that there is no noise interference, the current collection mode is adjusted to direct current mode, and the current sampling rate is adjusted to a third sampling rate and the current sampling time zone is adjusted to a third sampling time zone; Wherein, the third sampling rate < the second sampling rate < the first sampling rate < the initial sampling rate, in the same collection mode, when the sampling rate is reduced, the continuous sampling time of the sampling time zone is prolonged.

2. The method of reducing noise in a blood glucose monitoring signal of claim 1, wherein, The first sampling rate is Hz, n equals 1 or 2, k represents a sub-harmonic, k >

1.

3. The method of reducing noise in a blood glucose monitoring signal of claim 1, wherein, The initial setting of the signal collection settings includes that the collection mode is direct current mode and the initial sampling rate is not less than 750 Hz.

4. The method of reducing noise in a blood glucose monitoring signal of claim 3, wherein, The method for reducing blood glucose monitoring signal noise further comprises: If noise interference is detected to be higher than the noise threshold set under the current signal collection settings after adjusting the signal collection settings, the signal collection settings are adjusted to the initial settings.

5. The method for reducing noise in a blood glucose monitoring signal of claim 1, wherein, The signal filtering settings include setting the collected signal filtering to one of moving average filtering, moving median filtering, low pass filtering and Kalman filtering.

6. The method of reducing noise in a blood glucose monitoring signal of claim 5, wherein, The initial setting of the signal filtering settings is moving average filtering or Kalman filtering.

7. The method for reducing noise in a blood glucose monitoring signal of claim 1, wherein, The method for reducing blood glucose monitoring signal noise further comprises: Adjusting the method of extracting the noise characteristics according to the result of judging the signal noise.

8. The method of reducing noise in a blood glucose monitoring signal of claim 1 or 7, wherein, The method of extracting the noise characteristics includes: Directly extracting the noise characteristics from the collected blood glucose monitoring signals or extracting the noise characteristics by comparing the difference between the collected blood glucose monitoring signals before and after filtering.

9. The method of reducing noise in a blood glucose monitoring signal of claim 8, wherein, The method of directly extracting the noise characteristics from the collected blood glucose monitoring signals includes at least one of Fourier transform, wavelet transform, calculating Kalman filter parameters and root mean square; The method of extracting the noise characteristics by comparing the difference between the collected blood glucose monitoring signals before and after filtering includes calculating the zero-crossing rate and / or root mean square of the difference between the collected signals before and after filtering.

10. The method of reducing noise in a blood glucose monitoring signal of claim 9, wherein, The initial setting of the method of extracting the noise characteristics is Fourier transform.

11. The method of reducing noise in a blood glucose monitoring signal of claim 10, wherein, If the noise feature S is extracted using Fourier transform in S11 FFT S12 includes: If S FFT satisfies: ， If the result of judging the signal noise source and frequency is that there is external electromagnetic interference, it is judged that there is external electromagnetic interference; If S FFT satisfies: ， If the result of judging the signal noise source and frequency is that there is random noise interference, it is judged that there is random noise interference; If S FFT satisfies: ， Then, it is judged that the signal noise source and the frequency size are non-existent noise interference. wherein thre represents a noise threshold value set in the current filter setting mode, denotes the length of time for which the sampling is on.

12. A readable storage medium, characterized by, The readable storage medium has a computer program stored thereon, and the computer program is executed by the processor to implement the method for reducing blood glucose monitoring signal noise according to any one of claims 1-11.

13. A blood glucose management system, characterized by, The readable storage medium has a computer program stored thereon, and the computer program is executed by the processor to implement the method for reducing blood glucose monitoring signal noise according to any one of claims 1-11.

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