WO2018214298A1 - Non-invasive blood glucose detection system and method - Google Patents
Non-invasive blood glucose detection system and method Download PDFInfo
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- WO2018214298A1 WO2018214298A1 PCT/CN2017/098190 CN2017098190W WO2018214298A1 WO 2018214298 A1 WO2018214298 A1 WO 2018214298A1 CN 2017098190 W CN2017098190 W CN 2017098190W WO 2018214298 A1 WO2018214298 A1 WO 2018214298A1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
Definitions
- the present invention relates to the field of non-invasive blood glucose detecting technology, and in particular, to a non-invasive blood glucose detecting system and method.
- diabetes has become one of the major diseases that endanger human health in modern society. Hyperglycemia is too high or too low to affect not only the patient's metabolism, but also some complications, such as cardiovascular disease and neuropathy, which pose a great threat to the health of patients. According to the World Health Organization report, there will be 300 million people with diabetes worldwide by 2035, and a large proportion of people with diabetes in China will also be present. In recent years, patients with diabetes have not only existed in some elderly people, but also in some young people. Diabetes is a chronic disease that is difficult to achieve with a single treatment, so people with diabetes need to know exactly what their blood sugar levels are.
- an invasive blood glucose detecting method is adopted, that is, the patient's blood is directly taken, and the blood sugar level of the patient is detected according to an electrochemical method.
- This method of detection causes certain physical pain to the patient, and repeated blood draws are likely to cause infection.
- electrochemical reaction test papers are expensive, and are also a large economic burden for diabetic patients.
- Non-invasive blood glucose testing can eliminate the pain of patient detection, can be frequently detected, improve the quality of life of patients
- a primary object of the present invention is to provide a non-invasive blood glucose detecting system and method, which aims to solve the technical problem that the existing non-invasive blood glucose detecting method has low accuracy for blood glucose detecting.
- the present invention provides a non-invasive blood glucose detecting system, which is operated in a non-invasive blood glucose detecting device, the non-invasive blood glucose detecting device includes a signal collector and a non-invasive blood glucose detecting device, and the signal collector includes an infrared light source.
- the non-invasive blood glucose detecting device comprises a signal processing circuit, a display screen and a communication unit
- the non-invasive blood glucose detecting system comprises: a signal acquiring module, configured to control the infrared light source to emit near-infrared light to be irradiated on the body to be tested, and pass The photoelectric sensor obtains a pulse wave signal from a part to be tested of the human body under the illumination of the near-infrared light;
- the signal processing module is configured to pre-process the acquired pulse wave signal by the signal processing circuit to obtain a digital signal of the pulse wave signal, and from the pulse
- the characteristic value of the pulse wave signal is extracted from the digital signal of the wave signal;
- the initial detection module is configured to detect the characteristic value of the pulse wave signal by using the predictive neural network to obtain the initial detection value of the blood glucose concentration;
- the interval detecting module is configured to detect by using the classification neural network Pulse wave signal The eigenvalue obtains a detection interval of the blood glucose concentration;
- the blood glucose determining module is further configured to: when the initial detection value is not in the detection interval, the non-invasive blood glucose detecting device discards the initial detection value and detects the next pulse wave signal until the initial detection value is in the detection interval. So far.
- the signal processing circuit is configured to filter the pulse wave signal acquired by the photoelectric sensor to remove noise and DC components in the pulse wave signal, leaving a required AC component, and amplifying the pulse wave signal. Analog to digital conversion to obtain a digital signal of the pulse wave signal.
- the signal processing module is configured to perform wavelet transform on the acquired pulse wave signal to obtain a wavelet transform sequence, and search for a modulus maximum value that meets a preset threshold value in the wavelet transform sequence according to a preset threshold value.
- the infrared light source comprises at least a plurality of near-infrared light-emitting tubes in a wavelength range of 800 n m to 1500 nm, and is configured to emit near-infrared light including a band of 800 n m to 1500 nm to a portion to be tested of a human body.
- the present invention also provides a non-invasive blood glucose detecting method, which is applied to a non-invasive blood glucose detecting device, which is non-invasive
- the blood glucose detecting device comprises a signal collector and a non-invasive blood glucose detecting device
- the signal collector comprises an infrared light source and a photoelectric sensor
- the non-invasive blood glucose detecting device comprises a signal processing circuit, a display screen and a communication unit
- the non-invasive blood glucose detecting method comprises the steps : controlling the infrared light source to emit near-infrared light to be irradiated on the part to be tested, and obtaining a pulse wave signal from the body to be tested under the near-infrared light by the photoelectric sensor; pre-processing the acquired pulse wave signal by the signal processing circuit Obtaining the digital signal of the pulse wave signal, and extracting the characteristic value of the pulse wave signal from the digital signal of the pulse wave signal; using the predicted neural network to detect the characteristic value of the pulse wave signal to obtain the initial detection value of the blood glucose
- the non-invasive blood glucose detecting method further comprises the step of: discarding the initial detection value and detecting the next pulse wave signal until the initial detection value is within the detection interval if the initial detection value is not within the detection interval.
- the step of pre-processing the acquired pulse wave signal by the signal processing circuit to obtain the digital signal of the pulse wave signal comprises the following steps: filtering the pulse wave signal to remove noise in the pulse wave signal and a DC component, leaving a desired AC component; amplifying and analog-to-digital converting the pulse wave signal to obtain a digital signal of the pulse wave signal, and transmitting the digital signal to the non-invasive blood glucose detecting device
- the step of extracting the characteristic value of the pulse wave signal from the digital signal of the pulse wave signal comprises the following steps: performing wavelet transformation on the acquired pulse wave signal to obtain a wavelet transform sequence; and wavelet according to a preset threshold value Finding a modulus maxima corresponding to the preset threshold in the transform sequence; extracting the feature value of the pulse wave signal according to the modulus maxima.
- the infrared light source comprises at least a plurality of the near-infrared light emitting tube 800 n m-1500nm band, a human body part to be measured for transmitting to at least near-infrared light 800 n m-1500nm band.
- the non-invasive blood glucose detecting system and method of the present invention uses a pulse wave signal obtained by predicting a neural network to obtain a detection interval to which a blood glucose concentration belongs, and determines a pulse wave signal obtained by the classification neural network detection. Whether the initial detection value of the blood glucose concentration belongs to the detection interval, and when the initial detection value is within the detection interval, the initial detection value is a blood glucose concentration value, and by determining the interval to which the initial detection value belongs, the human blood can be effectively reduced. The interference of other components in the blood glucose concentration improves the accuracy and accuracy of blood glucose concentration detection.
- the human blood glucose concentration value and the blood glucose measurement segment of the test subject are sent to the health management platform for the doctor to determine the blood glucose condition of the test subject.
- FIG. 1 is a schematic diagram of an application environment of a preferred embodiment of the non-invasive blood glucose detecting system of the present invention
- FIG. 2 is a schematic structural view of a preferred embodiment of the non-invasive blood glucose detecting device of FIG. 1;
- FIG. 3 is a functional block diagram of a non-invasive non-invasive blood glucose detecting system of the present invention.
- FIG. 4 is a flow chart of a preferred embodiment of the non-invasive blood glucose detecting method of the present invention.
- FIG. 5 is a waveform diagram of a pulse wave signal
- FIG. 6 is a detailed flowchart of the feature value of the extracted pulse wave signal in step S33 of FIG. 4.
- FIG. 1 is a schematic diagram of an application environment of a preferred embodiment of the non-invasive blood glucose detecting system of the present invention.
- the non-invasive blood glucose detecting system 20 is applied to the non-invasive blood glucose detecting device 01, and the non-invasive blood glucose detecting device 01 establishes a communication connection with the health management platform 02 via the communication network 03.
- the non-invasive blood glucose detecting device 01 includes a signal collector 1 and a non-invasive blood glucose detecting device 2, wherein: the signal collector 1 is configured to collect and output a pulse wave signal.
- the non-invasive blood glucose detecting device 2 is connected to the signal collector 1
- the non-invasive blood glucose detecting system 20 detects the pulse wave signal outputted by the signal collector 1 to obtain a human blood glucose concentration value of the test subject, and sends the detected blood glucose concentration value to the health management platform 02.
- the health management platform 02 is a server, a computer or a doctor workstation installed in a medical management institution of a third party.
- the blood glucose level of the test subject such as high blood sugar concentration, low blood sugar level and normal blood sugar concentration result can be given.
- the doctor can also give the testee's blood glucose management recommendations based on the blood glucose status of the test subject through the health management platform 02, such as dietary advice, lifestyle recommendations and exercise recommendations.
- the health management platform 02 transmits the blood glucose condition of the subject and the blood glucose management advice to the communication device (e.g., mobile phone) of the test subject via the communication network 03, so that the test subject manages his or her blood sugar condition.
- the communication network 03 may be a wired communication network or a wireless communication network.
- the communication network 03 in this embodiment is preferably a wireless communication network, including but not limited to, a GSM network, a GPRS network, a CDMA network, a TD-SC DMA network, and a WiMAX.
- Wireless transmission networks such as networks, TD-LTE networks, and FDD-LTE networks.
- FIG. 2 is a schematic structural view of a preferred embodiment of the non-invasive blood glucose detecting device 01 of FIG.
- the signal collector 1 includes a support frame 10, an upper detection plate 11, a lower detection plate 12, an infrared light source 13, and a photosensor 14.
- the upper end of the support frame 10 is provided with a sliding slot 100, and one end of the upper detecting plate 11 is movably connected with the sliding slot 100, that is, the upper detecting plate 11 can be moved up and down in the sliding slot 100, so that the upper detecting board 11 can be adjusted.
- the distance between the plates 12 is suitable for placing blood pressure detection on different parts of the human body to be tested, which improves the flexibility and applicability of the device.
- the lower detecting plate 12 is fixed to the lower end of the support frame 10 and disposed in parallel with the axis of the upper detecting plate 11.
- the upper surface of the lower detecting plate 12 is provided with a hinge mechanism 16, and the hinge mechanism 16 is provided with return springs 17 on both sides thereof, and is connected to the upper detecting plate 11 via a return spring 17.
- the lower end of the hinge mechanism 16 is provided with a support rod 18 which is fixed to the upper surface of the lower detecting plate 12 by a support rod 18.
- the upper detecting plate 11 is located at a position directly above the hinge mechanism 16 and is provided with a screw hole 110, and the screw hole 110 is provided with an internal thread.
- the upper end of the hinge mechanism 16 is fixed with a screw 111.
- the outer surface of the screw 111 is provided with an external thread.
- the screw 111 passes through the screw hole 110 and the external thread of the screw 111 matches the internal thread of the screw hole 110. Since the hinge mechanism 16 is connected to the upper detecting plate 11 through the return spring 17, the user can manually rotate the screw 111 to move the upper detecting plate 11 up and down to bring the return spring 17 up and down and compress, so that the upper detecting plate 11 can be moved along the sliding groove 100.
- the infrared light source 13 is embedded in the lower surface of the front end of the upper detecting plate 11, and the photoelectric sensor 14 is embedded on the front surface of the front end of the lower detecting plate 12, because the upper detecting plate 11 and the lower detecting plate 12 are arranged in parallel. Therefore, the infrared light source 13 and the photosensor 14 are disposed coaxially.
- the photosensor 14 is disposed in the detecting portion 15, and the detecting portion 15 is provided with a front surface of the front end of the lower detecting plate 12 for providing a blood sugar concentration detecting place, which can be used for placing the human body.
- the infrared light source 13 is a near-infrared light emitting tube for transmitting an optical signal including at least near-infrared light to the detecting portion 15 as
- the infrared light source 13 may include a plurality of near-infrared light-emitting tubes in a band of 800 n m to 1500 nm, and the peak wavelength deviation of the near-infrared light-emitting tube is ⁇ 10 nm, and the radiation power is greater than 3 mW; the photosensor 14 is configured to receive the portion after passing through the detecting portion.
- the optical signal is converted into an electrical signal output.
- the wavelength band received by the photosensor 14 can be set such that the optical signal received by the photosensor 14 is in the near-infrared band, specifically, the photoelectric sensor. 14
- the received peak wavelength deviation is ⁇ 10nm
- the photocurrent is greater than 10uA
- the peak wavelength deviation received by photosensor 14 is less than ⁇ 10nm.
- the infrared light source 13 may include optical signals of other wavelength bands, but the optical signal sent by the infrared light source 13 needs to meet at least the near Infrared light, used to emit near-infrared light to be irradiated on the part to be tested.
- the photosensor 14 is configured to acquire a pulse wave signal from a portion to be tested of a human body irradiated by near-infrared light.
- the pulse wave signal may be a photoelectric volume pulse wave signal, or may be a bio-impedance signal or a pressure sensing signal.
- the pulse wave signal collected by the photosensor 14 is a photoplethysmographic pulse signal (PPG signal).
- the PPG signal is acquired to select the earlobe or fingertip of the human body as a portion for extracting the PPG signal, and the earlobe or fingertip is placed on the detecting portion 15 of the signal collector 1.
- the blood of the fingertips and the earlobe is relatively abundant.
- the photoelectric signal can be detected periodically by the photoelectric sensor.
- the external influence factors need to be minimized or changed.
- the earlobe or fingertip is the most suitable site for extracting PPG signals.
- the photoelectric volume pulse wave is obtained by transmitting the human skin tissue through the near-infrared spectrum or by reflecting the human skin tissue.
- the support frame 10 is embedded with a micro power source 101 for providing working power for the signal collector 1 (for example, the infrared light source 13 and the photoelectric sensor 14).
- the upper surface of the upper detecting plate 11 is further provided with a power source At the gate 19, the power switch 19 is connected to the infrared light source 13 and the photosensor 14 through a power line for activating the infrared light source 13 to emit near-infrared light, or turning off the infrared light source 13 to stop emitting near-infrared light.
- the non-invasive blood glucose detecting device 2 includes a signal processing circuit 21, a microprocessor 2, a memory 23, a display screen 24, and a communication unit 25.
- the signal processing circuit 21 is connected to the microprocessor 22 via a signal line, which is connected to the infrared light source 13 and the photosensor 14 of the signal collector 1 via a signal line, the memory 23, the display screen 24 and the communication Units 25 are each connected to microprocessor 22 via signal lines.
- the signal processing circuit 21 performs signal conversion, preamplification, and filtering on the pulse wave signal to obtain a digital signal of the pulse wave signal.
- the signal processing circuit 21 can also provide operating power to the non-invasive blood glucose detecting device 2.
- the microprocessor 22 may be a central processing unit (CPU), a microcontroller (MCU), a data processing chip, or an information processing unit having a data processing function.
- the memory 23 can be a read only memory unit ROM, an electrically erasable memory unit EEPROM, a flash memory unit FLASH or a solid state hard disk.
- the display screen 24 is a small-sized LCD or LED display unit that is embedded in the outer surface of the casing of the non-invasive blood glucose detecting device 2, since the measured blood sugar concentration value of the human body is displayed.
- the communication unit 25 is a wireless communication interface with remote wireless communication function, for example, supports communication such as GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE, 3G ⁇ 4G ⁇ 5G, etc.
- Technical communication interface for example, supports communication such as GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE, 3G ⁇ 4G ⁇ 5G, etc.
- Technical communication interface for example, supports communication such as GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE, 3G ⁇ 4G ⁇ 5G, etc.
- FIG. 3 is a functional block diagram of the non-invasive non-invasive blood glucose detecting system 20 of the present invention.
- the non-invasive non-invasive blood glucose detecting system 20 includes, but is not limited to, a signal acquiring module 201, a signal processing module 202, an initial detecting module 203, a section detecting module 204, a blood glucose determining module 205, and a blood glucose managing module 205.
- a module referred to in the present invention refers to a series of computer program instructions executable by the microprocessor 22 and capable of performing a fixed function, which are stored in the memory 23.
- the present embodiment will specifically describe the functions of the various modules in the non-invasive blood glucose detecting system 20 in conjunction with Figs. 4, 5 and 6.
- the non-invasive blood glucose detecting method of the present invention is applied to the above non-invasive blood glucose detecting device 01, and as shown in Fig. 1, Fig. 2 and Fig. 3, the non-invasive blood glucose detecting method comprises the following steps:
- Step S31 when the user turns on the power of the signal collector 1 , the signal acquisition module 201 controls the infrared light source 13 to emit near-infrared light to be irradiated on the body to be tested, and passes the photoelectric sensor 14 from the near infrared.
- the pulse wave signal is acquired by the body to be tested under light irradiation.
- the infrared light source 13 can emit a plurality of near-infrared light-emitting tubes in the 800 n -1500 nm band, and the signal acquisition module 201 controls the infrared light source 13 to emit near-infrared light of different slopes and illuminate the part to be tested, and the photoelectric The sensor 14 acquires a pulse wave signal from a portion of the human body to be measured illuminated by human near-infrared light.
- the pulse wave signal referred to in this embodiment is preferably a photoplethysmographic pulse wave signal carrying blood glucose concentration information of the sample to be tested.
- the glucose formula contains a plurality of 0-H, CH chemical bonds, and there are absorption peaks and absorption peaks and valleys in the 800 nm-1500 nm band
- the absorption peak wavelength is a key wavelength, which is the peak wavelength of blood glucose absorption to near-infrared light, which can reflect blood sugar.
- the absorption peak-to-valley wavelength is used as the reference wavelength.
- the photoplethysmographic pulse wave generated by the critical wavelength contains not only the absorption information of the near-infrared light by the blood glucose, but also the absorption information of the near-infrared light by other substances in the blood.
- Modeling the reference wavelength and the critical wavelength together can effectively reduce the effects of other substances on near-infrared light absorption.
- another important reason for selecting near-infrared light with a wavelength of less than 1500 nm is that these wavelengths are easily acquired, and some common near-infrared wavelengths, such as typical gallium arsenide diodes, can meet the demand and reduce non-invasive blood glucose. The cost of testing.
- Step S32 the signal processing module 202 performs pre-processing on the acquired pulse wave signal by the signal processing circuit 21 to obtain a digital signal of the pulse wave signal.
- the signal processing module 202 performs signal processing such as signal conversion, preamplification, and filtering on the pulse wave signal through the signal processing circuit 21.
- the pulse wave signal after filtering the pulse wave signal, the pulse wave signal can be filtered by the filter in the signal processing circuit 21, and the noise and DC components in the pulse wave signal can be removed, leaving the required AC component;
- the pulse wave signal is amplified and analog-digital converted, and the pulse wave signal can be amplified by the signal amplifier in the signal processing circuit 21, and the sampling is performed by using a 12-bit analog-to-digital converter (A DC) in the signal processing circuit 21, and the sampling frequency is used.
- a DC analog-to-digital converter
- it may be 1 ⁇ to obtain a digital signal of the pulse wave signal, and the digital signal is sent to the non-invasive blood glucose detecting device 2 for subsequent processing.
- Step S33 the signal processing module 202 extracts the feature value of the pulse wave signal from the digital signal of the pulse wave signal.
- the pulse wave signal referred to in this embodiment carries the blood glucose concentration information of the sample to be tested.
- the characteristic value of the pulse wave signal may be a magnitude in a unit period of the pulse wave signal, or may be a ratio of a main wave peak to a main wave rising day and a secondary wave main wave relative height.
- FIG. 5 is a waveform diagram of a pulse wave signal.
- the characteristic value is the main peak P of the pulse wave signal, the main trough A, the secondary peak T, and the main peak amplitude hP of the secondary trough V, the main Valley amplitude hA, secondary peak amplitude hT, secondary valley amplitude hV, main peak-sub-valley interval tl, main peak-second peak inter-turn interval t2, main peak-main valley inter-tank interval t3, and adjacent main peak inter-turn interval T4.
- the signal processing module 202 may use the wavelet transform method to extract the characteristic values of the pulse wave signal: the main peak amplitude hP, the main valley amplitude hA, the secondary peak amplitude hT, the secondary valley amplitude hV, the main peak - The inter-valley interval tl, the main peak-sub-peak interval t2, the main peak-main valley interval t3, and the adjacent main peak interval t4.
- Step S34 the initial detection module 203 uses the predicted neural network to detect the characteristic value of the pulse wave signal to obtain an initial detection value of the blood sugar concentration.
- the initial detection module 203 may perform a first detection on the acquired characteristic value of the pulse wave signal by predicting the neural network, thereby obtaining an initial detection value of the blood glucose concentration.
- the predictive neural network should be trained first.
- the training of the predicted neural network may be online or offline. In this embodiment, offline training is preferred, and the standard PPG eigenvalue training signal may be used.
- the input is the characteristic value of the photoplethysmographic pulse wave, and the corresponding invasively detected blood glucose concentration value (pre-acquired blood glucose sample value) is used as an output, and then the predicted neural network is trained using, for example, a MATLAB neural network.
- Step S35 The interval detecting module 204 detects the characteristic value of the pulse wave signal by using the classification neural network to obtain a detection interval to which the blood sugar concentration belongs.
- the interval detecting module 204 may perform a second detection on the acquired pulse wave signal through the classification neural network to obtain an interval in which the acquired pulse wave signal is located.
- the blood glucose concentration can be divided into sections [3, 4], [4, 5], [5, 6] ... [24, 25] according to a step size of 1, which will cover the human body.
- the blood glucose concentration range of 3 to 25 is divided into a plurality of sections.
- the input is the characteristic value of the photoplethysmographic pulse wave, and the corresponding blood glucose concentration value is classified.
- the blood glucose concentration value belongs to the interval [3, 4] and is recorded as the first category, belonging to the interval [4, 5 ] is recorded as the second category, which belongs to the interval [5, 6] as the third category, and so on as the output until the interval [3, 25] of all blood glucose values appearing during the training is included, and then used, for example.
- the MATLAB neural network trains the classification neural network.
- step S36 the blood glucose determining module 205 compares the initial detection value with the detection interval to determine whether the initial detection value belongs to the detection interval. If the initial detection value is in the detection interval, step S37 is performed, then the initial detection value is the blood glucose concentration value carried in the pulse wave signal, and the blood glucose determination module 205 displays the initial detection value on the display screen 24 as the human blood glucose concentration. value. If the initial detection value is not within the detection interval, step S38 is performed and then proceeds to step S32, that is, the blood glucose determination module 205 discards the initial detection value and the next The pulse wave signals are detected until the initial detection value is within the detection interval.
- the initial detection value obtained by using the predictive neural network is 4.6, and the detection interval obtained by the classification neural network is [4, 5], the initial detection value belongs to the detection interval; otherwise, if the classification neural network is used
- the obtained detection interval is [5, 6], [3, 4 domain [9, 10], etc., indicating that the initial detection value does not belong to the detection interval. If the initial detection value is not within the detection interval, if the initial detection value differs greatly from the actual blood glucose concentration value, the initial detection value is discarded and the next pulse wave signal is detected.
- the feature values of the PPG acquisition signals are extracted and sent to the prediction neural network and the classification neural network for the first detection and the second detection, respectively.
- the initial detection value blood glucose value R1
- the detection interval blood glucose interval R2
- the wave signal is detected until the detection result R1 belongs to the interval belonging to R2, and will be used as the blood glucose concentration value of the human body.
- Such repeated detection can effectively reduce the interference of other components (such as moisture) on the blood glucose concentration, and improve the accuracy of blood glucose concentration detection. And accuracy.
- Step S39 the blood glucose management module 206 displays a segment selection box on the display screen 24 for the subject to select the blood glucose measurement segment, and receives the blood glucose measurement segment selected by the test subject.
- the blood glucose measuring section includes two measuring segments, such as a fasting segment and two small meals after a meal. Since the blood glucose concentration measured by the fasting section of the human body is lower than the blood glucose concentration measured after the meal, and the blood glucose concentration measured after two hours of the meal is significantly higher, the selection box of the sacral segment provided by the embodiment is selected by the subject to be tested. The blood glucose measurement section can actually reflect the actual measurement of the blood glucose concentration of the person to be tested, thereby further ensuring the accuracy of the blood glucose concentration of the human body.
- Step S40 the blood glucose management module 206 sends the human blood glucose concentration value and the blood glucose measurement segment of the test subject to the health management platform 02 through the communication unit 25 for the doctor to determine the blood sugar condition of the test subject.
- the doctor can view the blood glucose concentration value of the test subject and the blood glucose measurement section through the health management platform 02, and can give the blood sugar condition of the test subject, for example, the blood sugar concentration is high, the blood sugar is low, and the blood sugar is low. The concentration is normal.
- the doctor can also give blood sugar management advice, such as dietary advice, lifestyle recommendations and exercise recommendations, to the person in charge of the test according to the blood glucose status of the test subject.
- the health management platform 02 sends the blood sugar condition and the blood sugar management recommendation of the test subject to the test through the communication network 03.
- the communication device (such as a mobile phone) allows the person to be tested to understand their blood sugar status and manage their blood sugar status.
- FIG. 6 is a detailed flowchart of extracting the characteristic values of the pulse wave signals in step S33 in FIG. Specifically, the signal processing module 202 extracts the characteristic values of the pulse wave signal by means of wavelet transform, including the following steps:
- Step S331 the signal processing module 202 performs wavelet transform on the acquired pulse wave signal to obtain a wavelet transform sequence.
- the obtained pulse wave signal for example, PPG signal
- the smoothed wavelet transform is performed on the denoised pure signal, and the wavelet transform sequence is obtained according to the obtained value after stationary wavelet transform.
- Step S332 the signal processing module 202 searches for a modulus maxima corresponding to the preset threshold in the wavelet transform sequence according to the preset threshold.
- a suitable preset threshold may be determined to find a modulus maxima that meets a preset threshold.
- the modulus maxima in the wavelet transform sequence includes a positive modulus maxima, a negative The modulus maxima and associated submodule maxima.
- Step S333 the signal processing module 202 extracts the feature value of the pulse wave signal according to the modulus maximum value.
- the characteristic values of the pulse wave signal include a main peak amplitude hP, a main valley amplitude hA, a secondary peak amplitude hT, a secondary valley amplitude hV, and according to the main peak P, the main trough A
- the position of the secondary peak T and the secondary trough V is obtained as an eigenvalue main peak-sub-valley interval 11, a main peak-sub-peak inter-turn interval t2, a main peak-main valley inter-turn interval t3, and an adjacent main peak inter-turn interval t4.
- the non-invasive blood glucose detecting system and method disclosed in the present embodiment obtains a blood glucose concentration by detecting a pulse wave signal obtained by using a predictive neural network to detect a pulse wave signal, and determining a pulse wave signal obtained by the classification neural network. Whether the initial detection value belongs to the detection interval, and when the initial detection value is within the detection interval, the initial detection value is a blood glucose concentration value, and by determining the interval to which the initial detection value belongs, the other components can effectively reduce the blood glucose concentration. The resulting interference improves the accuracy and accuracy of blood glucose concentration detection.
- the non-invasive blood glucose detecting system and method of the present invention uses a pulse wave signal obtained by predicting a neural network to obtain a detection interval to which a blood glucose concentration belongs, and determines a pulse wave signal obtained by the classification neural network to obtain a blood glucose concentration. Whether the initial detection value belongs to the detection interval, and when the initial detection value is within the detection interval, the initial detection value is a blood glucose concentration value, and by determining the interval to which the initial detection value belongs, the other components in the human blood can be effectively reduced.
- the interference caused by blood glucose concentration improves the accuracy and accuracy of blood glucose concentration detection.
- the human blood glucose concentration value and the blood glucose measurement segment of the test subject are sent to the health management platform for the doctor to determine the blood glucose condition of the test subject.
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Abstract
A non-invasive blood glucose detection system and method. The method comprises the steps of: controlling an infrared light source (13) so that same emits near-infrared light to irradiate a human body part to be detected, and acquiring, by means of a photoelectric sensor (14), a pulse wave signal from the human body part to be detected and under the irradiation of the near-infrared light; pre-processing the pulse wave signal by means of a signal processing circuit (21); extracting a characteristic value of the pulse wave signal; using a predictive neural network to detect the characteristic value of the pulse wave signal so as to obtain an initial detection value of a blood glucose concentration; using a classification neural network to detect the characteristic value of the pulse wave signal so as to obtain a detection interval of the blood glucose concentration; when the initial detection value is within the detection interval, displaying the initial detection value on a display screen (24) as a human body blood glucose concentration value of a person to be detected; and sending, by means of a communication unit (25), the human body blood glucose concentration value and a blood glucose measurement period of the person to be detected to a health management platform (02). The system and method can improve the accuracy of blood glucose concentration detection and enable a person to be detected to accurately understand his/her blood glucose condition.
Description
无创血糖检测系统及方法 Non-invasive blood glucose detecting system and method
技术领域 Technical field
[0001] 本发明涉及无创血糖检测技术领域, 尤其涉及一种无创血糖检测系统及方法。 [0001] The present invention relates to the field of non-invasive blood glucose detecting technology, and in particular, to a non-invasive blood glucose detecting system and method.
背景技术 Background technique
[0002] 随着社会经济的发展, 糖尿病已经成为现代社会危害人类健康的主要疾病之一 。 血糖的过高或过低, 不仅影响患者的新陈代谢, 还有一些并发症, 像心血管 疾病和神经病变, 这些对于患者的身体健康有着很大的威胁。 根据世界卫生组 织的报告, 到 2035年全世界将会有 3亿糖尿病患者, 其中, 中国的糖尿病患者也 将会有很大一部分。 近年来, 糖尿病的患者不仅存在于一些老年人当中, 对于 一些年轻人, 也幵始出现糖尿病病症。 糖尿病是一种慢性疾病, 很难通过一次 性的治疗达到很好的效果, 所以糖尿病患者需要实吋准确的了解自己的血糖水 平。 [0002] With the development of social economy, diabetes has become one of the major diseases that endanger human health in modern society. Hyperglycemia is too high or too low to affect not only the patient's metabolism, but also some complications, such as cardiovascular disease and neuropathy, which pose a great threat to the health of patients. According to the World Health Organization report, there will be 300 million people with diabetes worldwide by 2035, and a large proportion of people with diabetes in China will also be present. In recent years, patients with diabetes have not only existed in some elderly people, but also in some young people. Diabetes is a chronic disease that is difficult to achieve with a single treatment, so people with diabetes need to know exactly what their blood sugar levels are.
[0003] 但是目前对于血糖检测的方法, 在医院或者患者自己在家中, 都是采用有创的 血糖检测方法, 即直接抽取患者血液, 根据电化学的方法检测患者的血糖水平 。 这种检测方法对患者造成一定的生理痛苦, 而且反复抽血容易造成感染。 进 一步, 电化学反应试纸价格昂贵, 对于糖尿病患者而言, 也是一种较大的经济 负担。 无创血糖检测可消除患者检测的痛苦, 可频繁检测, 改善患者生活质量 [0003] However, at present, for the blood glucose detecting method, in the hospital or the patient's own home, an invasive blood glucose detecting method is adopted, that is, the patient's blood is directly taken, and the blood sugar level of the patient is detected according to an electrochemical method. This method of detection causes certain physical pain to the patient, and repeated blood draws are likely to cause infection. Further, electrochemical reaction test papers are expensive, and are also a large economic burden for diabetic patients. Non-invasive blood glucose testing can eliminate the pain of patient detection, can be frequently detected, improve the quality of life of patients
[0004] 目前, 存在许多无创血糖检测方法, 其中基于红外光的对人体血液中葡萄糖浓 度的检测方法被广泛应用于无创血糖检测的研究中。 然而血液中除了葡萄糖还 存在许多其他成分, 限制了血糖检测的精度。 如何提高血糖检测的精度成为亟 待解决的问题。 [0004] At present, there are many non-invasive blood glucose detecting methods, and infrared light-based methods for detecting glucose concentration in human blood are widely used in the research of non-invasive blood glucose detecting. However, there are many other components in the blood other than glucose, which limits the accuracy of blood glucose detection. How to improve the accuracy of blood glucose detection has become an urgent problem to be solved.
技术问题 technical problem
[0005] 本发明的主要目的在于提供一种无创血糖检测系统及方法, 旨在解决现有无创 血糖检测方法对血糖检测的准确度不高的技术问题。 [0005] A primary object of the present invention is to provide a non-invasive blood glucose detecting system and method, which aims to solve the technical problem that the existing non-invasive blood glucose detecting method has low accuracy for blood glucose detecting.
问题的解决方案
技术解决方案 Problem solution Technical solution
[0006] 为实现上述目的, 本发明提供了一种无创血糖检测系统, 运行于无创血糖检测 设备中, 该无创血糖检测设备包括信号采集器和无创血糖检测装置, 所述信号 采集器包括红外光源和光电传感器, 所述无创血糖检测装置包括信号处理电路 、 显示屏以及通信单元所述无创血糖检测系统包括: 信号获取模块, 用于控制 红外光源发射近红外光照射在人体待测部位, 并通过光电传感器从近红外光照 射下的人体待测部位获取脉搏波信号; 信号处理模块, 用于通过信号处理电路 对所获取的脉搏波信号进行前置处理得到脉搏波信号的数字信号, 并从脉搏波 信号的数字信号中提取脉搏波信号的特征值; 初始检测模块, 用于采用预测神 经网络检测脉搏波信号的特征值得到血糖浓度的初始检测值; 区间检测模块, 用于采用分类神经网络检测脉搏波信号的特征值得到血糖浓度的检测区间; 血 糖判断模块, 用于判断初始检测值是否属于检测区间内, 当初始检测值在检测 区间内吋, 将初始检测值显示在显示屏上作为待测者的人体血糖浓度值; 血糖 管理模块, 用于在显示屏上显示一个吋段选择框供待测者选择血糖测量吋段, 接收待测者选择的血糖测量吋段, 将待测者的人体血糖浓度值和血糖测量吋段 通过通信单元发送至健康管理平台以供医生确定待测者的血糖情况。 [0006] In order to achieve the above object, the present invention provides a non-invasive blood glucose detecting system, which is operated in a non-invasive blood glucose detecting device, the non-invasive blood glucose detecting device includes a signal collector and a non-invasive blood glucose detecting device, and the signal collector includes an infrared light source. And the photoelectric sensor, the non-invasive blood glucose detecting device comprises a signal processing circuit, a display screen and a communication unit, and the non-invasive blood glucose detecting system comprises: a signal acquiring module, configured to control the infrared light source to emit near-infrared light to be irradiated on the body to be tested, and pass The photoelectric sensor obtains a pulse wave signal from a part to be tested of the human body under the illumination of the near-infrared light; the signal processing module is configured to pre-process the acquired pulse wave signal by the signal processing circuit to obtain a digital signal of the pulse wave signal, and from the pulse The characteristic value of the pulse wave signal is extracted from the digital signal of the wave signal; the initial detection module is configured to detect the characteristic value of the pulse wave signal by using the predictive neural network to obtain the initial detection value of the blood glucose concentration; the interval detecting module is configured to detect by using the classification neural network Pulse wave signal The eigenvalue obtains a detection interval of the blood glucose concentration; the blood glucose determination module is configured to determine whether the initial detection value belongs to the detection interval, and when the initial detection value is within the detection interval, the initial detection value is displayed on the display screen as the test subject The blood glucose concentration value of the human body; the blood glucose management module is configured to display a segment selection box on the display screen for the person to be tested to select the blood glucose measurement segment, receive the blood glucose measurement segment selected by the test subject, and measure the blood glucose concentration of the human body to be tested. The value and blood glucose measurement segments are sent to the health management platform via the communication unit for the physician to determine the blood glucose condition of the subject.
[0007] 优选的, 所述血糖判断模块还用于当初始检测值不在检测区间内吋, 无创血糖 检测装置则舍弃该初始检测值并对下一个脉搏波信号进行检测直到初始检测值 在检测区间内为止。 [0007] Preferably, the blood glucose determining module is further configured to: when the initial detection value is not in the detection interval, the non-invasive blood glucose detecting device discards the initial detection value and detects the next pulse wave signal until the initial detection value is in the detection interval. So far.
[0008] 优选的, 所述信号处理电路用于对光电传感器所获取的脉搏波信号进行滤波去 除脉搏波信号中的噪声和直流分量, 留下所需的交流分量, 对脉搏波信号进行 放大和模数转换以得到脉搏波信号的数字信号。 [0008] Preferably, the signal processing circuit is configured to filter the pulse wave signal acquired by the photoelectric sensor to remove noise and DC components in the pulse wave signal, leaving a required AC component, and amplifying the pulse wave signal. Analog to digital conversion to obtain a digital signal of the pulse wave signal.
[0009] 优选的, 所述信号处理模块具体用于对所获取的脉搏波信号进行小波变换得到 小波变换序列, 根据预设阈值在小波变换序列中査找符合预设阈值的模极大值[0009] Preferably, the signal processing module is configured to perform wavelet transform on the acquired pulse wave signal to obtain a wavelet transform sequence, and search for a modulus maximum value that meets a preset threshold value in the wavelet transform sequence according to a preset threshold value.
, 以及根据模极大值提取所述脉搏波信号的特征值。 And extracting a characteristic value of the pulse wave signal according to a modulus maximum value.
[0010] 优选的, 所述红外光源至少包括 800nm-1500nm波段内的多个近红外发光管, 用于向人体待测部位发射至少包括 800nm-1500nm波段的近红外光。 [0010] Preferably, the infrared light source comprises at least a plurality of near-infrared light-emitting tubes in a wavelength range of 800 n m to 1500 nm, and is configured to emit near-infrared light including a band of 800 n m to 1500 nm to a portion to be tested of a human body.
[0011] 本发明还提供了一种无创血糖检测方法, 应用于无创血糖检测设备中, 该无创
血糖检测设备包括信号采集器和无创血糖检测装置, 所述信号采集器包括红外 光源和光电传感器, 所述无创血糖检测装置包括信号处理电路、 显示屏以及通 信单元, 所述无创血糖检测方法包括步骤: 控制红外光源发射近红外光照射在 人体待测部位, 并通过光电传感器从近红外光照射下的人体待测部位获取脉搏 波信号; 通过信号处理电路对所获取的脉搏波信号进行前置处理得到脉搏波信 号的数字信号, 并从脉搏波信号的数字信号中提取脉搏波信号的特征值; 采用 预测神经网络检测脉搏波信号的特征值得到血糖浓度的初始检测值; 采用分类 神经网络检测脉搏波信号的特征值得到血糖浓度的检测区间; 判断初始检测值 是否属于检测区间内, 当初始检测值在检测区间内吋, 将初始检测值显示在显 示屏上作为待测者的人体血糖浓度值; 在显示屏上显示一个吋段选择框供待测 者选择血糖测量吋段, 并接收待测者选择的血糖测量吋段; 将待测者的人体血 糖浓度值和血糖测量吋段通过通信单元发送至健康管理平台以供医生确定待测 者的血糖情况。 [0011] The present invention also provides a non-invasive blood glucose detecting method, which is applied to a non-invasive blood glucose detecting device, which is non-invasive The blood glucose detecting device comprises a signal collector and a non-invasive blood glucose detecting device, the signal collector comprises an infrared light source and a photoelectric sensor, the non-invasive blood glucose detecting device comprises a signal processing circuit, a display screen and a communication unit, and the non-invasive blood glucose detecting method comprises the steps : controlling the infrared light source to emit near-infrared light to be irradiated on the part to be tested, and obtaining a pulse wave signal from the body to be tested under the near-infrared light by the photoelectric sensor; pre-processing the acquired pulse wave signal by the signal processing circuit Obtaining the digital signal of the pulse wave signal, and extracting the characteristic value of the pulse wave signal from the digital signal of the pulse wave signal; using the predicted neural network to detect the characteristic value of the pulse wave signal to obtain the initial detection value of the blood glucose concentration; using the classification neural network to detect the pulse value The characteristic value of the wave signal obtains the detection interval of the blood glucose concentration; determines whether the initial detection value belongs to the detection interval, and when the initial detection value is within the detection interval, the initial detection value is displayed on the display screen as the human body blood glucose concentration value of the test subject On the display Displaying a segment selection box for the candidate to select the blood glucose measurement segment, and receiving the blood glucose measurement segment selected by the test subject; and transmitting the human body blood glucose concentration value and the blood glucose measurement segment of the test subject to the health management platform through the communication unit For the doctor to determine the blood sugar status of the person to be tested.
[0012] 优选的, 所述无创血糖检测方法还包括步骤: 如果初始检测值不在检测区间内 , 则舍弃该初始检测值并对下一个脉搏波信号进行检测直到初始检测值在检测 区间内为止。 [0012] Preferably, the non-invasive blood glucose detecting method further comprises the step of: discarding the initial detection value and detecting the next pulse wave signal until the initial detection value is within the detection interval if the initial detection value is not within the detection interval.
[0013] 优选的, 所述通过信号处理电路对所获取的脉搏波信号进行前置处理得到脉搏 波信号的数字信号的步骤包括如下步骤: 对脉搏波信号进行滤波去除脉搏波信 号中的噪声和直流分量, 留下所需的交流分量; 对脉搏波信号进行放大和模数 转换以得到脉搏波信号的数字信号, 并将该数字信号发送给无创血糖检测装置 [0013] Preferably, the step of pre-processing the acquired pulse wave signal by the signal processing circuit to obtain the digital signal of the pulse wave signal comprises the following steps: filtering the pulse wave signal to remove noise in the pulse wave signal and a DC component, leaving a desired AC component; amplifying and analog-to-digital converting the pulse wave signal to obtain a digital signal of the pulse wave signal, and transmitting the digital signal to the non-invasive blood glucose detecting device
[0014] 优选的, 所述从脉搏波信号的数字信号中提取脉搏波信号的特征值的步骤包括 如下步骤: 对所获取的脉搏波信号进行小波变换得到小波变换序列; 根据预设 阈值在小波变换序列中査找符合预设阈值的模极大值; 根据模极大值提取所述 脉搏波信号的特征值。 [0014] Preferably, the step of extracting the characteristic value of the pulse wave signal from the digital signal of the pulse wave signal comprises the following steps: performing wavelet transformation on the acquired pulse wave signal to obtain a wavelet transform sequence; and wavelet according to a preset threshold value Finding a modulus maxima corresponding to the preset threshold in the transform sequence; extracting the feature value of the pulse wave signal according to the modulus maxima.
[0015] 优选的, 所述红外光源至少包括 800nm-1500nm波段内的多个近红外发光管, 用于向人体待测部位发射至少包括 800nm-1500nm波段的近红外光。 [0015] Preferably, the infrared light source comprises at least a plurality of the near-infrared light emitting tube 800 n m-1500nm band, a human body part to be measured for transmitting to at least near-infrared light 800 n m-1500nm band.
发明的有益效果
有益效果 Advantageous effects of the invention Beneficial effect
[0016] 相较于现有技术, 本发明所述无创血糖检测系统及方法采用预测神经网络检测 获取的脉搏波信号得到血糖浓度所属的检测区间, 并判断分类神经网络检测获 取的脉搏波信号得到血糖浓度的初始检测值是否属于检测区间, 当初始检测值 在所述检测区间内吋, 则该初始检测值为血糖浓度值, 通过对初始检测值所属 区间进行判断, 能够有效地减小人体血液中其它成分对血糖浓度造成的干扰, 提高了血糖浓度检测的精度和准确度。 此外, 将待测者的人体血糖浓度值和血 糖测量吋段发送至健康管理平台以供医生确定待测者的血糖情况。 对附图的简要说明 [0016] Compared with the prior art, the non-invasive blood glucose detecting system and method of the present invention uses a pulse wave signal obtained by predicting a neural network to obtain a detection interval to which a blood glucose concentration belongs, and determines a pulse wave signal obtained by the classification neural network detection. Whether the initial detection value of the blood glucose concentration belongs to the detection interval, and when the initial detection value is within the detection interval, the initial detection value is a blood glucose concentration value, and by determining the interval to which the initial detection value belongs, the human blood can be effectively reduced. The interference of other components in the blood glucose concentration improves the accuracy and accuracy of blood glucose concentration detection. In addition, the human blood glucose concentration value and the blood glucose measurement segment of the test subject are sent to the health management platform for the doctor to determine the blood glucose condition of the test subject. Brief description of the drawing
附图说明 DRAWINGS
[0017] 图 1是本发明无创血糖检测系统优选实施例的应用环境示意图; 1 is a schematic diagram of an application environment of a preferred embodiment of the non-invasive blood glucose detecting system of the present invention;
[0018] 图 2是图 1中的无创血糖检测设备优选实施例的结构示意图; 2 is a schematic structural view of a preferred embodiment of the non-invasive blood glucose detecting device of FIG. 1;
[0019] 图 3为本发明无创无创血糖检测系统的功能模块图; 3 is a functional block diagram of a non-invasive non-invasive blood glucose detecting system of the present invention;
[0020] 图 4是本发明无创血糖检测方法优选实施例的流程图; 4 is a flow chart of a preferred embodiment of the non-invasive blood glucose detecting method of the present invention;
[0021] 图 5为脉搏波信号的一种波形示意图; [0021] FIG. 5 is a waveform diagram of a pulse wave signal;
[0022] 图 6为图 4中步骤 S33的提取脉搏波信号的特征值的细化流程图。 6 is a detailed flowchart of the feature value of the extracted pulse wave signal in step S33 of FIG. 4.
[0023] 本发明目的的实现、 功能特点及优点将结合实施例, 参照附图做进一步说明。 [0023] The implementation, functional features, and advantages of the present invention will be further described with reference to the accompanying drawings.
实施该发明的最佳实施例 BEST MODE FOR CARRYING OUT THE INVENTION
本发明的最佳实施方式 BEST MODE FOR CARRYING OUT THE INVENTION
[0024] 为更进一步阐述本发明为达成预定发明目的所采取的技术手段及功效, 以下结 合附图及较佳实施例, 对本发明的具体实施方式、 结构、 特征及其功效, 详细 说明如下。 应当理解, 此处所描述的具体实施例仅仅用以解释本发明, 并不用 于限定本发明。 The specific embodiments, structures, features, and effects of the present invention are described in detail below with reference to the accompanying drawings and preferred embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
[0025] 参照图 1所示, 图 1是本发明无创血糖检测系统优选实施例的应用环境示意图。 [0025] Referring to FIG. 1, FIG. 1 is a schematic diagram of an application environment of a preferred embodiment of the non-invasive blood glucose detecting system of the present invention.
在本实施例中, 所述无创血糖检测系统 20应用于无创血糖检测设备 01, 该无创 血糖检测设备 01通过通信网络 03与健康管理平台 02建立通信连接。 所述无创血 糖检测设备 01包括信号采集器 1和无创血糖检测装置 2, 其中: 信号采集器 1用于 对待测者进行采集并输出脉搏波信号。 无创血糖检测装置 2与信号采集器 1连接
, 运行无创血糖检测系统 20对信号采集器 1输出的脉搏波信号进行检测以得到待 测者的人体血糖浓度值, 并将检测出的血糖浓度值发送至健康管理平台 02。 In the present embodiment, the non-invasive blood glucose detecting system 20 is applied to the non-invasive blood glucose detecting device 01, and the non-invasive blood glucose detecting device 01 establishes a communication connection with the health management platform 02 via the communication network 03. The non-invasive blood glucose detecting device 01 includes a signal collector 1 and a non-invasive blood glucose detecting device 2, wherein: the signal collector 1 is configured to collect and output a pulse wave signal. The non-invasive blood glucose detecting device 2 is connected to the signal collector 1 The non-invasive blood glucose detecting system 20 detects the pulse wave signal outputted by the signal collector 1 to obtain a human blood glucose concentration value of the test subject, and sends the detected blood glucose concentration value to the health management platform 02.
[0026] 在本实施例中, 所述健康管理平台 02为设置在第三方的医疗管理机构中的一台 服务器、 电脑或者医生工作站。 用于医生通过健康管理平台 02根据待测者的人 体血糖浓度值可以给出待测者的血糖情况例如血糖浓度偏高、 血糖偏低的和血 糖浓度正常结果。 医生还可以通过健康管理平台 02根据待测者的血糖情况给出 待测者的血糖管理建议, 例如饮食建议、 生活习惯建议和运动建议等。 由此, 健康管理平台 02通过通信网络 03将待测者的血糖情况和血糖管理建议发送给待 测者的通信设备 (例如手机) 使得待测者对自己的血糖情况进行管理。 所述通 信网络 03可以是有线通信网络或无线通信网络, 本实施例所述通信网络 03优选 为无线通信网络, 包括但不限于, GSM网络、 GPRS网络、 CDMA网络、 TD-SC DMA网络、 WiMAX网络、 TD-LTE网络、 FDD-LTE网络等无线传输网络。 In the embodiment, the health management platform 02 is a server, a computer or a doctor workstation installed in a medical management institution of a third party. For the doctor to pass the health management platform 02, according to the human body blood glucose concentration value of the test subject, the blood glucose level of the test subject such as high blood sugar concentration, low blood sugar level and normal blood sugar concentration result can be given. The doctor can also give the testee's blood glucose management recommendations based on the blood glucose status of the test subject through the health management platform 02, such as dietary advice, lifestyle recommendations and exercise recommendations. Thus, the health management platform 02 transmits the blood glucose condition of the subject and the blood glucose management advice to the communication device (e.g., mobile phone) of the test subject via the communication network 03, so that the test subject manages his or her blood sugar condition. The communication network 03 may be a wired communication network or a wireless communication network. The communication network 03 in this embodiment is preferably a wireless communication network, including but not limited to, a GSM network, a GPRS network, a CDMA network, a TD-SC DMA network, and a WiMAX. Wireless transmission networks such as networks, TD-LTE networks, and FDD-LTE networks.
[0027] 参照图 2所示, 图 2是图 1中无创血糖检测设备 01优选实施例的结构示意图。 在 本实施例中, 所述信号采集器 1包括支撑架 10、 上检测板 11、 下检测板 12、 红外 光源 13以及光电传感器 14。 其中, 支撑架 10的上端设置有滑动槽 100、 上检测板 11的一端与滑动槽 100活动连接, 即上检测板 11可以在滑动槽 100内上下移动, 从而可以调节上检测板 11与下检测板 12之间的距离, 适合放置不同大小的人体 待测部位进行血糖检测, 提高了设备的使用灵活性和适用性。 下检测板 12固定 在支撑架 10的下端, 并与上检测板 11轴线平行设置。 下检测板 12的上表面设有 铰链机构 16, 该铰链机构 16的两侧设有复位弹簧 17, 并通过复位弹簧 17与上检 测板 11连接。 铰链机构 16的下端设有支撑杆 18, 该铰链机构 16通过支撑杆 18固 定在下检测板 12的上表面。 Referring to FIG. 2, FIG. 2 is a schematic structural view of a preferred embodiment of the non-invasive blood glucose detecting device 01 of FIG. In the present embodiment, the signal collector 1 includes a support frame 10, an upper detection plate 11, a lower detection plate 12, an infrared light source 13, and a photosensor 14. The upper end of the support frame 10 is provided with a sliding slot 100, and one end of the upper detecting plate 11 is movably connected with the sliding slot 100, that is, the upper detecting plate 11 can be moved up and down in the sliding slot 100, so that the upper detecting board 11 can be adjusted. The distance between the plates 12 is suitable for placing blood pressure detection on different parts of the human body to be tested, which improves the flexibility and applicability of the device. The lower detecting plate 12 is fixed to the lower end of the support frame 10 and disposed in parallel with the axis of the upper detecting plate 11. The upper surface of the lower detecting plate 12 is provided with a hinge mechanism 16, and the hinge mechanism 16 is provided with return springs 17 on both sides thereof, and is connected to the upper detecting plate 11 via a return spring 17. The lower end of the hinge mechanism 16 is provided with a support rod 18 which is fixed to the upper surface of the lower detecting plate 12 by a support rod 18.
[0028] 在本实施例中, 所述上检测板 11位于铰链机构 16的正上方位置处幵设有螺孔 11 0, 螺孔 110设置有内螺纹。 铰链机构 16的上端固定有螺杆 111, 该螺杆 111的外 表面设置有外螺纹, 螺杆 111穿过螺孔 110且螺杆 111的外螺纹与螺孔 110的内螺 纹相匹配。 由于铰链机构 16通过复位弹簧 17连接至上检测板 11上, 因此使用者 可以手动旋转螺杆 111使上检测板 11上下移动带动复位弹簧 17上下弹升与压缩, 从而可以使上检测板 11沿滑动槽 100上下移动, 因此可以调节上检测板 11与下检
测板 12之间的距离。 在本实施例中, 所述红外光源 13嵌于上检测板 11的前端下 表面, 所述光电传感器 14嵌于下检测板 12的前端上表面, 由于上检测板 11和下 检测板 12平行设置, 因此红外光源 13和光电传感器 14同轴分布设置。 [0028] In the embodiment, the upper detecting plate 11 is located at a position directly above the hinge mechanism 16 and is provided with a screw hole 110, and the screw hole 110 is provided with an internal thread. The upper end of the hinge mechanism 16 is fixed with a screw 111. The outer surface of the screw 111 is provided with an external thread. The screw 111 passes through the screw hole 110 and the external thread of the screw 111 matches the internal thread of the screw hole 110. Since the hinge mechanism 16 is connected to the upper detecting plate 11 through the return spring 17, the user can manually rotate the screw 111 to move the upper detecting plate 11 up and down to bring the return spring 17 up and down and compress, so that the upper detecting plate 11 can be moved along the sliding groove 100. Move up and down, so you can adjust the upper detection board 11 and the next inspection The distance between the plates 12. In this embodiment, the infrared light source 13 is embedded in the lower surface of the front end of the upper detecting plate 11, and the photoelectric sensor 14 is embedded on the front surface of the front end of the lower detecting plate 12, because the upper detecting plate 11 and the lower detecting plate 12 are arranged in parallel. Therefore, the infrared light source 13 and the photosensor 14 are disposed coaxially.
[0029] 在本实施例中, 所述光电传感器 14设置在检测部 15内, 所述检测部 15设置下检 测板 12的前端上表面, 用于提供血糖浓度检测的场所, 可以用于放置人体待测 部位, 例如人体手指指尖、 耳垂或者手腕等人体毛细血管密集的人体组织; 所 述红外光源 13为近红外发光管, 用于向检测部 15发送至少包括近红外光的光信 号, 作为优选的实施例, 红外光源 13可以包括 800nm-1500nm波段内多个近红外 发光管, 近红外发光管峰值波长偏差为 ±10nm, 辐射功率大于 3mW; 光电传感 器 14用于接收经过检测部后的光信号, 并转化为电信号输出, 在具体实施例中 , 可以对光电传感器 14所接收的波段进行设置, 以使光电传感器 14接收的光信 号波段为近红外光波段, 具体地, 光电传感器 14接收的峰值波长偏差为 ±10nm, 感光电流大于 10uA, 光电传感器 14接收的峰值波长偏差小于 ±10nm。 需要说明 的是, 在优选的实施例中, 当对光电传感器 14所接收的波段进行设置后, 红外 光源 13可以包含其它波段的光信号, 但需要满足红外光源 13所发送的光信号至 少包括近红外光, 用于发射近红外光照射在人体待测部位。 所述光电传感器 14 用于从近红外光照射下的人体待测部位获取脉搏波信号。 所述脉搏波信号可以 为光电容积脉搏波信号, 也可以为生物阻抗信号或压力传感信号。 在本实施例 中, 所述光电传感器 14采集的脉搏波信号为光电容积脉搏波信号 (PPG信号) 。 [0029] In the embodiment, the photosensor 14 is disposed in the detecting portion 15, and the detecting portion 15 is provided with a front surface of the front end of the lower detecting plate 12 for providing a blood sugar concentration detecting place, which can be used for placing the human body. a portion to be tested, such as a human finger capillary tip, an ear lobe, or a wrist, such as a human capillary-dense body tissue; the infrared light source 13 is a near-infrared light emitting tube for transmitting an optical signal including at least near-infrared light to the detecting portion 15 as In a preferred embodiment, the infrared light source 13 may include a plurality of near-infrared light-emitting tubes in a band of 800 n m to 1500 nm, and the peak wavelength deviation of the near-infrared light-emitting tube is ±10 nm, and the radiation power is greater than 3 mW; the photosensor 14 is configured to receive the portion after passing through the detecting portion. The optical signal is converted into an electrical signal output. In a specific embodiment, the wavelength band received by the photosensor 14 can be set such that the optical signal received by the photosensor 14 is in the near-infrared band, specifically, the photoelectric sensor. 14 The received peak wavelength deviation is ±10nm, the photocurrent is greater than 10uA, and the peak wavelength deviation received by photosensor 14 is less than ± 10nm. It should be noted that, in a preferred embodiment, after the wavelength band received by the photosensor 14 is set, the infrared light source 13 may include optical signals of other wavelength bands, but the optical signal sent by the infrared light source 13 needs to meet at least the near Infrared light, used to emit near-infrared light to be irradiated on the part to be tested. The photosensor 14 is configured to acquire a pulse wave signal from a portion to be tested of a human body irradiated by near-infrared light. The pulse wave signal may be a photoelectric volume pulse wave signal, or may be a bio-impedance signal or a pressure sensing signal. In this embodiment, the pulse wave signal collected by the photosensor 14 is a photoplethysmographic pulse signal (PPG signal).
[0030] 在本实施例中, 采集 PPG信号选择人体的耳垂或者指尖作为提取 PPG信号的部 位, 将耳垂或者指尖放置信号采集器 1的检测部 15。 指尖和耳垂的血液比较丰富 , 随着心脏的周期性循环, 光电传感器能探测到的光电信号周期性的变化, 为 了得到稳定的光电容积脉搏波, 需要将外界的影响因素降到最低或者变为可控 , 例如环境温度和湿度, 综上而言, 耳垂或者指尖是最为合适的提取 PPG信号的 部位。 经过近红外光谱透射人体皮肤组织或者经过人体皮肤组织反射得到光电 容积脉搏波。 In the present embodiment, the PPG signal is acquired to select the earlobe or fingertip of the human body as a portion for extracting the PPG signal, and the earlobe or fingertip is placed on the detecting portion 15 of the signal collector 1. The blood of the fingertips and the earlobe is relatively abundant. With the periodic circulation of the heart, the photoelectric signal can be detected periodically by the photoelectric sensor. In order to obtain a stable photoplethysmographic pulse wave, the external influence factors need to be minimized or changed. For controllability, such as ambient temperature and humidity, in summary, the earlobe or fingertip is the most suitable site for extracting PPG signals. The photoelectric volume pulse wave is obtained by transmitting the human skin tissue through the near-infrared spectrum or by reflecting the human skin tissue.
[0031] 优选地, 所述支撑架 10内嵌有微型电源 101, 用于为信号采集器 1 (例如红外光 源 13和光电传感器 14) 提供工作电源。 所述上检测板 11的上表面还设置有电源
幵关 19, 该电源幵关 19通过电源线连接至红外光源 13和光电传感器 14上, 用于 幵启红外光源 13发射近红外光, 或者关闭红外光源 13停止发射近红外光。 [0031] Preferably, the support frame 10 is embedded with a micro power source 101 for providing working power for the signal collector 1 (for example, the infrared light source 13 and the photoelectric sensor 14). The upper surface of the upper detecting plate 11 is further provided with a power source At the gate 19, the power switch 19 is connected to the infrared light source 13 and the photosensor 14 through a power line for activating the infrared light source 13 to emit near-infrared light, or turning off the infrared light source 13 to stop emitting near-infrared light.
[0032] 在优选的实施例中, 所述无创血糖检测装置 2包括信号处理电路 21、 微处理器 2 2、 存储器 23、 显示屏 24以及通信单元 25。 所述信号处理电路 21通过信号线连接 至微处理器 22, 该微处理器 22通过信号线连接至信号采集器 1的红外光源 13和光 电传感器 14上, 所述存储器 23、 显示屏 24和通信单元 25均通过信号线连接至微 处理器 22。 所述信号处理电路 21对脉搏波信号进行信号转换、 前置放大和滤波 等信号处理得到脉搏波信号的数字信号。 优选地, 信号处理电路 21还可以为无 创血糖检测装置 2提供工作电源。 In a preferred embodiment, the non-invasive blood glucose detecting device 2 includes a signal processing circuit 21, a microprocessor 2, a memory 23, a display screen 24, and a communication unit 25. The signal processing circuit 21 is connected to the microprocessor 22 via a signal line, which is connected to the infrared light source 13 and the photosensor 14 of the signal collector 1 via a signal line, the memory 23, the display screen 24 and the communication Units 25 are each connected to microprocessor 22 via signal lines. The signal processing circuit 21 performs signal conversion, preamplification, and filtering on the pulse wave signal to obtain a digital signal of the pulse wave signal. Preferably, the signal processing circuit 21 can also provide operating power to the non-invasive blood glucose detecting device 2.
[0033] 所述的微处理器 22可以为一种中央处理器 (Central Processing Unit, CPU) 、 微控制器 (MCU) 、 数据处理芯片、 或者具有数据处理功能的信息处理单元。 所述存储器 23可以为一种只读存储单元 ROM, 电可擦写存储单元 EEPROM、 快 闪存储单元 FLASH或固体硬盘等。 所述显示屏 24为一种小尺寸 LCD或 LED显示 单元, 其镶嵌于无创血糖检测装置 2的壳体外表面, 由于显示测量的人体血糖浓 度值。 所述通讯单元 25为一种具有远程无线通讯功能的无线通讯接口, 例如, 支持 GSM、 GPRS、 WCDMA、 CDMA、 TD-SCDMA、 WiMAX、 TD-LTE、 FDD -LTE、 3G\4G\5G等通讯技术的通讯接口。 [0033] The microprocessor 22 may be a central processing unit (CPU), a microcontroller (MCU), a data processing chip, or an information processing unit having a data processing function. The memory 23 can be a read only memory unit ROM, an electrically erasable memory unit EEPROM, a flash memory unit FLASH or a solid state hard disk. The display screen 24 is a small-sized LCD or LED display unit that is embedded in the outer surface of the casing of the non-invasive blood glucose detecting device 2, since the measured blood sugar concentration value of the human body is displayed. The communication unit 25 is a wireless communication interface with remote wireless communication function, for example, supports communication such as GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE, 3G\4G\5G, etc. Technical communication interface.
[0034] 参考图 3所示, 图 3为本发明无创无创血糖检测系统 20的功能模块图。 在本实施 例中, 所述无创无创血糖检测系统 20包括, 但不仅限于, 信号获取模块 201、 信 号处理模块 202、 初始检测模块 203、 区间检测模块 204、 血糖判断模块 205以及 血糖管理模块 205。 本发明所称的模块是指一种能够被所述微处理器 22执行并且 能够完成固定功能的一系列计算机程序指令, 其存储在所述存储器 23中。 本实 施例将结合图 4、 5和 6具体说明无创血糖检测系统 20中各个模块的功能。 Referring to FIG. 3, FIG. 3 is a functional block diagram of the non-invasive non-invasive blood glucose detecting system 20 of the present invention. In the present embodiment, the non-invasive non-invasive blood glucose detecting system 20 includes, but is not limited to, a signal acquiring module 201, a signal processing module 202, an initial detecting module 203, a section detecting module 204, a blood glucose determining module 205, and a blood glucose managing module 205. A module referred to in the present invention refers to a series of computer program instructions executable by the microprocessor 22 and capable of performing a fixed function, which are stored in the memory 23. The present embodiment will specifically describe the functions of the various modules in the non-invasive blood glucose detecting system 20 in conjunction with Figs. 4, 5 and 6.
[0035] 参考图 4所示, 是本发明无创血糖检测方法的优选实施例的流程图。 在本实施 例中, 本发明所述无创血糖检测方法应用于上述无创血糖检测设备 01中, 结合 图 1、 图 2和图 3所示, 该无创血糖检测方法包括如下步骤: [0035] Referring to FIG. 4, a flow chart of a preferred embodiment of the non-invasive blood glucose detecting method of the present invention. In the present embodiment, the non-invasive blood glucose detecting method of the present invention is applied to the above non-invasive blood glucose detecting device 01, and as shown in Fig. 1, Fig. 2 and Fig. 3, the non-invasive blood glucose detecting method comprises the following steps:
[0036] 步骤 S31, 当使用者幵启信号采集器 1的电源幵关 19吋, 信号获取模块 201控制 红外光源 13发射近红外光照射在人体待测部位, 并通过光电传感器 14从近红外
光照射下的人体待测部位获取脉搏波信号。 在本实施例中, 红外光源 13可以发 射 800nm-1500nm波段内多个近红外发光管, 信号获取模块 201控制红外光源 13发 射不同坡段的近红外光并照射在人体待测部位, 光电传感器 14从人近红外光照 射下的人体待测部位获取脉搏波信号。 本实施例所称脉搏波信号优选为光电容 积脉搏波信号, 其承载着待测样本血糖浓度信息。 例如, 葡萄糖分子式含有多 个 0-H、 C-H化学键, 在 800nm-1500nm波段存在吸收峰值和吸收峰谷, 吸收峰值 波长作为关键波长, 该波长是血糖对近红外光吸收的峰值波长, 能够反映血糖 对近红外光的吸收情况, 吸收峰谷波长作为参考波长。 关键波长产生的光电容 积脉搏波不仅包含了血糖对近红外光的吸收信息, 而且包含血液中的其他物质 对近红外光的吸收信息。 将参考波长和关键波长相结合进行建模, 可以有效地 减少其他物质对近红外光吸收的影响。 本实施例中, 选择波长小于 1500nm的近 红外光的另一个重要原因是由于这些波长容易获取, 都是一些常见的近红外波 长, 例如典型的砷化镓二极管就能达到需求, 降低了无创血糖检测的成本。 [0036] Step S31, when the user turns on the power of the signal collector 1 , the signal acquisition module 201 controls the infrared light source 13 to emit near-infrared light to be irradiated on the body to be tested, and passes the photoelectric sensor 14 from the near infrared. The pulse wave signal is acquired by the body to be tested under light irradiation. In this embodiment, the infrared light source 13 can emit a plurality of near-infrared light-emitting tubes in the 800 n -1500 nm band, and the signal acquisition module 201 controls the infrared light source 13 to emit near-infrared light of different slopes and illuminate the part to be tested, and the photoelectric The sensor 14 acquires a pulse wave signal from a portion of the human body to be measured illuminated by human near-infrared light. The pulse wave signal referred to in this embodiment is preferably a photoplethysmographic pulse wave signal carrying blood glucose concentration information of the sample to be tested. For example, the glucose formula contains a plurality of 0-H, CH chemical bonds, and there are absorption peaks and absorption peaks and valleys in the 800 nm-1500 nm band, and the absorption peak wavelength is a key wavelength, which is the peak wavelength of blood glucose absorption to near-infrared light, which can reflect blood sugar. For the absorption of near-infrared light, the absorption peak-to-valley wavelength is used as the reference wavelength. The photoplethysmographic pulse wave generated by the critical wavelength contains not only the absorption information of the near-infrared light by the blood glucose, but also the absorption information of the near-infrared light by other substances in the blood. Modeling the reference wavelength and the critical wavelength together can effectively reduce the effects of other substances on near-infrared light absorption. In this embodiment, another important reason for selecting near-infrared light with a wavelength of less than 1500 nm is that these wavelengths are easily acquired, and some common near-infrared wavelengths, such as typical gallium arsenide diodes, can meet the demand and reduce non-invasive blood glucose. The cost of testing.
[0037] 步骤 S32, 信号处理模块 202通过信号处理电路 21对所获取的脉搏波信号进行前 置处理得到脉搏波信号的数字信号。 在本实施例中, 信号处理模块 202通过信号 处理电路 21对脉搏波信号进行信号转换、 前置放大和滤波等信号处理。 具体地 , 在对脉搏波信号进行滤波吋, 可以采用信号处理电路 21中的滤波器对脉搏波 信号进行滤波, 能够去除脉搏波信号中的噪声和直流分量, 留下所需的交流分 量; 对脉搏波信号进行放大和模数转换, 可以采用信号处理电路 21中的信号放 大器对脉搏波信号进行放大, 采用信号处理电路 21中的采用 12位模数转换器 (A DC) 进行采样, 采样频率例如可以是 1ΚΗζ, 以得到脉搏波信号的数字信号, 并 将该数字信号发送给无创血糖检测装置 2进行后续的处理。 [0037] Step S32, the signal processing module 202 performs pre-processing on the acquired pulse wave signal by the signal processing circuit 21 to obtain a digital signal of the pulse wave signal. In the present embodiment, the signal processing module 202 performs signal processing such as signal conversion, preamplification, and filtering on the pulse wave signal through the signal processing circuit 21. Specifically, after filtering the pulse wave signal, the pulse wave signal can be filtered by the filter in the signal processing circuit 21, and the noise and DC components in the pulse wave signal can be removed, leaving the required AC component; The pulse wave signal is amplified and analog-digital converted, and the pulse wave signal can be amplified by the signal amplifier in the signal processing circuit 21, and the sampling is performed by using a 12-bit analog-to-digital converter (A DC) in the signal processing circuit 21, and the sampling frequency is used. For example, it may be 1 ΚΗζ to obtain a digital signal of the pulse wave signal, and the digital signal is sent to the non-invasive blood glucose detecting device 2 for subsequent processing.
[0038] 步骤 S33, 信号处理模块 202从脉搏波信号的数字信号中提取脉搏波信号的特征 值。 在具体实施例中, 本实施例所称脉搏波信号承载着待测样本血糖浓度信息 。 所述脉搏波信号的特征值可以是脉搏波信号单位周期内的幅值, 也可以是主 波波峰与主波上升吋间比值和次波主波相对高度值。 在优选的实施例中, 请参 考图 5所示, 图 5为脉搏波信号的一种波形示意图。 在一个波形周期内, 所述特 征值为脉搏波信号的主波峰 P、 主波谷 A、 次波峰 T及次波谷 V的主峰幅值 hP、 主
谷幅值 hA、 次峰幅值 hT、 次谷幅值 hV、 主峰-次谷吋间间隔 tl、 主峰-次峰吋间 间隔 t2、 主峰-主谷吋间间隔 t3和相邻主峰吋间间隔 t4。 在具体实施例中, 信号处 理模块 202可以采用小波变换的方式当提取脉搏波信号的特征值: 主峰幅值 hP、 主谷幅值 hA、 次峰幅值 hT、 次谷幅值 hV、 主峰-次谷吋间间隔 tl、 主峰-次峰吋 间间隔 t2、 主峰-主谷吋间间隔 t3和相邻主峰吋间间隔 t4。 [0038] Step S33, the signal processing module 202 extracts the feature value of the pulse wave signal from the digital signal of the pulse wave signal. In a specific embodiment, the pulse wave signal referred to in this embodiment carries the blood glucose concentration information of the sample to be tested. The characteristic value of the pulse wave signal may be a magnitude in a unit period of the pulse wave signal, or may be a ratio of a main wave peak to a main wave rising day and a secondary wave main wave relative height. In a preferred embodiment, please refer to FIG. 5. FIG. 5 is a waveform diagram of a pulse wave signal. In one waveform period, the characteristic value is the main peak P of the pulse wave signal, the main trough A, the secondary peak T, and the main peak amplitude hP of the secondary trough V, the main Valley amplitude hA, secondary peak amplitude hT, secondary valley amplitude hV, main peak-sub-valley interval tl, main peak-second peak inter-turn interval t2, main peak-main valley inter-tank interval t3, and adjacent main peak inter-turn interval T4. In a specific embodiment, the signal processing module 202 may use the wavelet transform method to extract the characteristic values of the pulse wave signal: the main peak amplitude hP, the main valley amplitude hA, the secondary peak amplitude hT, the secondary valley amplitude hV, the main peak - The inter-valley interval tl, the main peak-sub-peak interval t2, the main peak-main valley interval t3, and the adjacent main peak interval t4.
[0039] 步骤 S34, 初始检测模块 203采用预测神经网络检测脉搏波信号的特征值得到血 糖浓度的初始检测值。 在具体实施例中, 初始检测模块 203可以通过预测神经网 络对获取的脉搏波信号的特征值进行第一检测, 从而得到血糖浓度的初始检测 值。 在具体实施吋, 应首先对预测神经网络进行训练, 预测神经网络的训练可 以是在线的, 也可以是离线的, 本实施例中, 优选为离线训练, 可以采用标准 的 PPG特征值训练信号进行训练, 对于预测神经网络, 输入是光电容积脉搏波的 特征值, 将对应的有创检测血糖浓度值 (预先采集的血糖样本值) 作为输出, 然后使用例如 MATLAB神经网络进行训练出预测神经网络。 [0039] Step S34, the initial detection module 203 uses the predicted neural network to detect the characteristic value of the pulse wave signal to obtain an initial detection value of the blood sugar concentration. In a specific embodiment, the initial detection module 203 may perform a first detection on the acquired characteristic value of the pulse wave signal by predicting the neural network, thereby obtaining an initial detection value of the blood glucose concentration. In the specific implementation, the predictive neural network should be trained first. The training of the predicted neural network may be online or offline. In this embodiment, offline training is preferred, and the standard PPG eigenvalue training signal may be used. Training, For predictive neural networks, the input is the characteristic value of the photoplethysmographic pulse wave, and the corresponding invasively detected blood glucose concentration value (pre-acquired blood glucose sample value) is used as an output, and then the predicted neural network is trained using, for example, a MATLAB neural network.
[0040] 步骤 S35, 区间检测模块 204采用分类神经网络检测脉搏波信号的特征值得到血 糖浓度所属的检测区间。 在具体实施例中, 区间检测模块 204可以通过分类神经 网络来对获取的脉搏波信号进行第二检测, 以得到获取的脉搏波信号所在的区 间。 具体地, 以人体为例, 血糖浓度可以按照步长为 1进行划分分类区间 [3, 4] 、 [4, 5]、 [5, 6] ...[24, 25], 从而将涵盖人体血糖浓度范围 3〜25划分成了多个 区间。 对分类神经网络进行训练中, 输入是光电容积脉搏波的特征值, 将对应 的血糖浓度值进行分类, 如血糖浓度值属于区间 [3, 4]记为第一类, 属于区间 [4 , 5]记为第二类, 属于区间 [5, 6]记为第三类, 以此类推作为输出, 直到将训练 过程中出现的所有血糖值的区间 [3, 25]包含在内, 然后使用例如 MATLAB神经 网络进行训练出分类神经网络。 [0040] Step S35: The interval detecting module 204 detects the characteristic value of the pulse wave signal by using the classification neural network to obtain a detection interval to which the blood sugar concentration belongs. In a specific embodiment, the interval detecting module 204 may perform a second detection on the acquired pulse wave signal through the classification neural network to obtain an interval in which the acquired pulse wave signal is located. Specifically, taking the human body as an example, the blood glucose concentration can be divided into sections [3, 4], [4, 5], [5, 6] ... [24, 25] according to a step size of 1, which will cover the human body. The blood glucose concentration range of 3 to 25 is divided into a plurality of sections. In the training of the classification neural network, the input is the characteristic value of the photoplethysmographic pulse wave, and the corresponding blood glucose concentration value is classified. For example, the blood glucose concentration value belongs to the interval [3, 4] and is recorded as the first category, belonging to the interval [4, 5 ] is recorded as the second category, which belongs to the interval [5, 6] as the third category, and so on as the output until the interval [3, 25] of all blood glucose values appearing during the training is included, and then used, for example. The MATLAB neural network trains the classification neural network.
[0041] 步骤 S36, 血糖判断模块 205将初始检测值与检测区间进行比对判断初始检测值 是否属于检测区间内。 如果初始检测值在检测区间内, 则执行步骤 S37, 则该初 始检测值则为脉搏波信号中承载的血糖浓度值, 则血糖判断模块 205将初始检测 值显示在显示屏 24上作为人体血糖浓度值。 如果初始检测值不在检测区间内, 则执行步骤 S38而后转向步骤 S32, 即血糖判断模块 205舍弃初始检测值并对下一
个脉搏波信号进行检测直到初始检测值在检测区间内为止。 举例子来讲, 譬如 采用预测神经网络得到的初始检测值为 4.6, 采用分类神经网络得到的检测区间 为 [4, 5], 则说明初始检测值属于该检测区间; 反之, 如果采用分类神经网络得 到的检测区间为 [5, 6]、 [3, 4域 [9, 10]等, 则说明初始检测值不属于该检测区 间内。 如果初始检测值不在检测区间内, 则该初始检测值与实际的血糖浓度值 相差较大, 则舍弃该初始检测值并对下一个脉搏波信号进行检测。 [0041] In step S36, the blood glucose determining module 205 compares the initial detection value with the detection interval to determine whether the initial detection value belongs to the detection interval. If the initial detection value is in the detection interval, step S37 is performed, then the initial detection value is the blood glucose concentration value carried in the pulse wave signal, and the blood glucose determination module 205 displays the initial detection value on the display screen 24 as the human blood glucose concentration. value. If the initial detection value is not within the detection interval, step S38 is performed and then proceeds to step S32, that is, the blood glucose determination module 205 discards the initial detection value and the next The pulse wave signals are detected until the initial detection value is within the detection interval. For example, if the initial detection value obtained by using the predictive neural network is 4.6, and the detection interval obtained by the classification neural network is [4, 5], the initial detection value belongs to the detection interval; otherwise, if the classification neural network is used The obtained detection interval is [5, 6], [3, 4 domain [9, 10], etc., indicating that the initial detection value does not belong to the detection interval. If the initial detection value is not within the detection interval, if the initial detection value differs greatly from the actual blood glucose concentration value, the initial detection value is discarded and the next pulse wave signal is detected.
[0042] 在本实施例中, 提取 PPG采集信号的特征值, 并分别送入预测神经网络和分类 神经网络进行第一检测和第二检测。 利用预测神经网络进行第一检测得到初始 检测值 (血糖值 R1), 利用分类神经网络进行第二检测得到检测区间 (血糖区间 R2) 。 利用 R1判断血糖值所属区间, 如果 R1所在区间属于 R2, 那么则认为 R1是正确 的, 保留检测结果 R1作为人体血糖浓度值; 反之, 则认为检测结果错误, 丢弃 检测结果 R1并对下一个脉搏波信号进行检测直到检测结果 R1属于区间属于 R2内 , 将作为人体血糖浓度值, 如此反复检测能够有效地减小其它成分 (例如水分 等) 对血糖浓度造成的干扰, 提高了血糖浓度检测的精度和准确度。 [0042] In this embodiment, the feature values of the PPG acquisition signals are extracted and sent to the prediction neural network and the classification neural network for the first detection and the second detection, respectively. The initial detection value (blood glucose value R1) is obtained by the first detection using the predictive neural network, and the detection interval (blood glucose interval R2) is obtained by the second detection using the classification neural network. Use R1 to judge the interval to which the blood glucose level belongs. If the interval where R1 belongs to R2, then R1 is considered correct, and the detection result R1 is retained as the blood glucose concentration value of the human body; otherwise, the detection result is considered incorrect, and the detection result R1 is discarded and the next pulse is discarded. The wave signal is detected until the detection result R1 belongs to the interval belonging to R2, and will be used as the blood glucose concentration value of the human body. Such repeated detection can effectively reduce the interference of other components (such as moisture) on the blood glucose concentration, and improve the accuracy of blood glucose concentration detection. And accuracy.
[0043] 步骤 S39, 血糖管理模块 206在显示屏 24上显示一个吋段选择框供待测者选择血 糖测量吋段, 并接收待测者选择的血糖测量吋段。 在本实施例中, 所述血糖测 量吋段包括空腹吋段和饭后两小吋等两个测量吋段。 由于人体空腹吋段测量的 血糖浓度比饭后测量的血糖浓度要低, 而饭后两小吋后测量的血糖浓度会明显 偏高, 因此本实施例提供的吋段选择框供待测者选择血糖测量吋段, 能够实际 反应出待测者血糖浓度的实际测量情况, 从而进一步保证了人体血糖浓度的准 确性。 [0043] Step S39, the blood glucose management module 206 displays a segment selection box on the display screen 24 for the subject to select the blood glucose measurement segment, and receives the blood glucose measurement segment selected by the test subject. In this embodiment, the blood glucose measuring section includes two measuring segments, such as a fasting segment and two small meals after a meal. Since the blood glucose concentration measured by the fasting section of the human body is lower than the blood glucose concentration measured after the meal, and the blood glucose concentration measured after two hours of the meal is significantly higher, the selection box of the sacral segment provided by the embodiment is selected by the subject to be tested. The blood glucose measurement section can actually reflect the actual measurement of the blood glucose concentration of the person to be tested, thereby further ensuring the accuracy of the blood glucose concentration of the human body.
[0044] 步骤 S40, 血糖管理模块 206将待测者的人体血糖浓度值和血糖测量吋段通过通 信单元 25发送至健康管理平台 02以供医生确定待测者的血糖情况。 在本实施例 中, 医生通过健康管理平台 02在线浏览待测者的人体血糖浓度值和血糖测量吋 段后可以给出待测者的血糖情况, 例如血糖浓度偏高、 血糖偏低的和血糖浓度 正常结果。 此外, 医生还可以根据待测者的血糖情况给出待测者管理自身血糖 情况的血糖管理建议, 例如饮食建议、 生活习惯建议和运动建议等。 由此, 健 康管理平台 02通过通信网络 03将待测者的血糖情况和血糖管理建议发送给待测
者的通信设备 (例如手机) 使得待测者了解自己的血糖情况并对自己的血糖情 况进行管理。 [0044] Step S40, the blood glucose management module 206 sends the human blood glucose concentration value and the blood glucose measurement segment of the test subject to the health management platform 02 through the communication unit 25 for the doctor to determine the blood sugar condition of the test subject. In this embodiment, the doctor can view the blood glucose concentration value of the test subject and the blood glucose measurement section through the health management platform 02, and can give the blood sugar condition of the test subject, for example, the blood sugar concentration is high, the blood sugar is low, and the blood sugar is low. The concentration is normal. In addition, the doctor can also give blood sugar management advice, such as dietary advice, lifestyle recommendations and exercise recommendations, to the person in charge of the test according to the blood glucose status of the test subject. Thereby, the health management platform 02 sends the blood sugar condition and the blood sugar management recommendation of the test subject to the test through the communication network 03. The communication device (such as a mobile phone) allows the person to be tested to understand their blood sugar status and manage their blood sugar status.
[0045] 如图 6所示, 图 6为图 4中的步骤 S33提取脉搏波信号的特征值的细化流程图。 具 体地, 信号处理模块 202采用小波变换的方式提取脉搏波信号的特征值包括如下 步骤: As shown in FIG. 6, FIG. 6 is a detailed flowchart of extracting the characteristic values of the pulse wave signals in step S33 in FIG. Specifically, the signal processing module 202 extracts the characteristic values of the pulse wave signal by means of wavelet transform, including the following steps:
[0046] 步骤 S331, 信号处理模块 202对获取的脉搏波信号进行小波变换得到小波变换 序列。 在小波变换之前, 可以首先对获得的脉搏波信号 (例如 PPG信号)进行去噪 处理, 再对消噪后的纯净信号进行平稳小波变换, 平稳小波变换后根据所得值 得到小波变换序列。 [0046] Step S331, the signal processing module 202 performs wavelet transform on the acquired pulse wave signal to obtain a wavelet transform sequence. Before the wavelet transform, the obtained pulse wave signal (for example, PPG signal) may be denoised first, then the smoothed wavelet transform is performed on the denoised pure signal, and the wavelet transform sequence is obtained according to the obtained value after stationary wavelet transform.
[0047] 步骤 S332, 信号处理模块 202根据预设阈值在小波变换序列中査找符合预设阈 值的模极大值。 在得到小波变换序列之后, 可以确定合适的预设阈值, 以査找 符合预设阈值的模极大值, 在本实施中, 小波变换序列中的模极大值包括正的 模极大值、 负的模极大值和相关的次模极大值。 [0047] Step S332, the signal processing module 202 searches for a modulus maxima corresponding to the preset threshold in the wavelet transform sequence according to the preset threshold. After obtaining the wavelet transform sequence, a suitable preset threshold may be determined to find a modulus maxima that meets a preset threshold. In this implementation, the modulus maxima in the wavelet transform sequence includes a positive modulus maxima, a negative The modulus maxima and associated submodule maxima.
[0048] 步骤 S333, 信号处理模块 202根据模极大值提取脉搏波信号的特征值。 在本实 例中, 如图 4所示, 脉搏波信号的特征值包括主峰幅值 hP、 主谷幅值 hA、 次峰幅 值 hT、 次谷幅值 hV, 并根据主波峰 P、 主波谷 A、 次波峰 T及次波谷 V的位置得到 特征值主峰-次谷吋间间隔 11、 主峰-次峰吋间间隔 t2、 主峰-主谷吋间间隔 t3和相 邻主峰吋间间隔 t4。 [0048] Step S333, the signal processing module 202 extracts the feature value of the pulse wave signal according to the modulus maximum value. In this example, as shown in FIG. 4, the characteristic values of the pulse wave signal include a main peak amplitude hP, a main valley amplitude hA, a secondary peak amplitude hT, a secondary valley amplitude hV, and according to the main peak P, the main trough A The position of the secondary peak T and the secondary trough V is obtained as an eigenvalue main peak-sub-valley interval 11, a main peak-sub-peak inter-turn interval t2, a main peak-main valley inter-turn interval t3, and an adjacent main peak inter-turn interval t4.
[0049] 本实施例公幵的无创血糖检测系统及方法, 由于采用预测神经网络检测获取的 脉搏波信号得到血糖浓度所属的检测区间, 并判断分类神经网络检测获取的脉 搏波信号得到血糖浓度的初始检测值是否属于检测区间, 当初始检测值在所述 检测区间内吋, 则该初始检测值为血糖浓度值, 通过对初始检测值所属区间进 行判断, 能够有效地减小其它成分对血糖浓度造成的干扰, 提高了血糖浓度检 测的精度和准确度。 [0049] The non-invasive blood glucose detecting system and method disclosed in the present embodiment obtains a blood glucose concentration by detecting a pulse wave signal obtained by using a predictive neural network to detect a pulse wave signal, and determining a pulse wave signal obtained by the classification neural network. Whether the initial detection value belongs to the detection interval, and when the initial detection value is within the detection interval, the initial detection value is a blood glucose concentration value, and by determining the interval to which the initial detection value belongs, the other components can effectively reduce the blood glucose concentration. The resulting interference improves the accuracy and accuracy of blood glucose concentration detection.
[0050] 本领域技术人员可以理解, 上述实施方式中各种方法的全部或部分步骤可以通 过程序来指令相关硬件完成, 该程序可以存储于计算机可读存储介质中, 存储 介质可以包括: 只读存储器、 随机存储器、 磁盘或光盘等。 [0050] Those skilled in the art may understand that all or part of the steps of the various methods in the above embodiments may be completed by a program to instruct related hardware, and the program may be stored in a computer readable storage medium, and the storage medium may include: Memory, random access memory, disk or CD, etc.
[0051] 以上仅为本发明的优选实施例, 并非因此限制本发明的专利范围, 凡是利用本
发明说明书及附图内容所作的等效结构或等效流程变换, 或直接或间接运用在 其他相关的技术领域, 均同理包括在本发明的专利保护范围内。 The above is only a preferred embodiment of the present invention, and thus does not limit the scope of the patent of the present invention. The equivalent structure or equivalent flow of the invention and the equivalents of the drawings are directly or indirectly applied to other related technical fields, and are included in the scope of patent protection of the present invention.
工业实用性 Industrial applicability
相较于现有技术, 本发明所述无创血糖检测系统及方法采用预测神经网络检测 获取的脉搏波信号得到血糖浓度所属的检测区间, 并判断分类神经网络检测获 取的脉搏波信号得到血糖浓度的初始检测值是否属于检测区间, 当初始检测值 在所述检测区间内吋, 则该初始检测值为血糖浓度值, 通过对初始检测值所属 区间进行判断, 能够有效地减小人体血液中其它成分对血糖浓度造成的干扰, 提高了血糖浓度检测的精度和准确度。 此外, 将待测者的人体血糖浓度值和血 糖测量吋段发送至健康管理平台以供医生确定待测者的血糖情况。
Compared with the prior art, the non-invasive blood glucose detecting system and method of the present invention uses a pulse wave signal obtained by predicting a neural network to obtain a detection interval to which a blood glucose concentration belongs, and determines a pulse wave signal obtained by the classification neural network to obtain a blood glucose concentration. Whether the initial detection value belongs to the detection interval, and when the initial detection value is within the detection interval, the initial detection value is a blood glucose concentration value, and by determining the interval to which the initial detection value belongs, the other components in the human blood can be effectively reduced. The interference caused by blood glucose concentration improves the accuracy and accuracy of blood glucose concentration detection. In addition, the human blood glucose concentration value and the blood glucose measurement segment of the test subject are sent to the health management platform for the doctor to determine the blood glucose condition of the test subject.
Claims
[权利要求 1] 一种无创血糖检测系统, 运行于无创血糖检测设备中, 该无创血糖检 测设备包括信号采集器和无创血糖检测装置, 所述信号采集器包括红 外光源和光电传感器, 所述无创血糖检测装置包括信号处理电路、 显 示屏以及通信单元, 其特征在于, 所述无创血糖检测系统包括: 信号 获取模块, 用于控制红外光源发射近红外光照射在人体待测部位, 并 通过光电传感器从近红外光照射下的人体待测部位获取脉搏波信号; 信号处理模块, 用于通过信号处理电路对所获取的脉搏波信号进行前 置处理得到脉搏波信号的数字信号, 并从脉搏波信号的数字信号中提 取脉搏波信号的特征值; 初始检测模块, 用于采用预测神经网络检测 脉搏波信号的特征值得到血糖浓度的初始检测值; 区间检测模块, 用 于采用分类神经网络检测脉搏波信号的特征值得到血糖浓度的检测区 间; 血糖判断模块, 用于判断初始检测值是否属于检测区间内, 当初 始检测值在检测区间内吋, 将初始检测值显示在显示屏上作为待测者 的人体血糖浓度值; 血糖管理模块, 用于在显示屏上显示一个吋段选 择框供待测者选择血糖测量吋段, 接收待测者选择的血糖测量吋段, 将待测者的人体血糖浓度值和血糖测量吋段通过通信单元发送至健康 管理平台以供医生确定待测者的血糖情况。 [Claim 1] A non-invasive blood glucose detecting system, which is operated in a non-invasive blood glucose detecting device, the non-invasive blood glucose detecting device includes a signal collector and a non-invasive blood glucose detecting device, the signal collector includes an infrared light source and a photoelectric sensor, and the non-invasive The blood glucose detecting device comprises a signal processing circuit, a display screen and a communication unit, wherein the non-invasive blood glucose detecting system comprises: a signal acquiring module, configured to control the infrared light source to emit near-infrared light to be irradiated on the body to be tested, and pass the photoelectric sensor Obtaining a pulse wave signal from a part of the human body to be tested under near-infrared light; a signal processing module for pre-processing the acquired pulse wave signal by a signal processing circuit to obtain a digital signal of the pulse wave signal, and from the pulse wave signal The digital signal extracts the characteristic value of the pulse wave signal; the initial detection module is configured to detect the pulse wave signal characteristic value by using the prediction neural network to obtain the initial detection value of the blood glucose concentration; the interval detection module is configured to detect the pulse wave by using the classification neural network Signal characteristics The value obtains the detection interval of the blood glucose concentration; the blood glucose determination module is configured to determine whether the initial detection value belongs to the detection interval, and when the initial detection value is within the detection interval, the initial detection value is displayed on the display screen as the human blood glucose of the test subject Concentration value; blood glucose management module, used to display a segment selection box on the display screen for the person to be tested to select the blood glucose measurement segment, receive the blood glucose measurement segment selected by the test subject, and the human body blood glucose concentration value of the test subject and The blood glucose measurement section is sent to the health management platform through the communication unit for the doctor to determine the blood glucose condition of the test subject.
[权利要求 2] 如权利要求 1所述的无创血糖检测系统, 其特征在于, 所述血糖判断 模块还用于当初始检测值不在检测区间内吋, 无创血糖检测装置舍弃 该初始检测值并对下一个脉搏波信号进行检测直到初始检测值在检测 区间内为止。 [Claim 2] The non-invasive blood glucose detecting system according to claim 1, wherein the blood glucose determining module is further configured to: when the initial detected value is not within the detecting interval, the non-invasive blood glucose detecting device discards the initial detected value and The next pulse wave signal is detected until the initial detection value is within the detection interval.
[权利要求 3] 如权利要求 1所述的无创血糖检测系统, 其特征在于, 所述信号处理 电路用于对光电传感器所获取的脉搏波信号进行滤波去除脉搏波信号 中的噪声和直流分量, 留下所需的交流分量, 对脉搏波信号进行放大 和模数转换以得到脉搏波信号的数字信号。 [Claim 3] The non-invasive blood glucose detecting system according to claim 1, wherein the signal processing circuit is configured to filter a pulse wave signal acquired by the photoelectric sensor to remove noise and a direct current component in the pulse wave signal. The desired AC component is left, and the pulse wave signal is amplified and analog-digital converted to obtain a digital signal of the pulse wave signal.
[权利要求 4] 如权利要求 1所述的无创血糖检测系统, 其特征在于, 所述信号处理 模块具体用于对所获取的脉搏波信号进行小波变换得到小波变换序列
, 根据预设阈值在小波变换序列中査找符合预设阈值的模极大值, 以 及根据模极大值提取所述脉搏波信号的特征值。 [Claim 4] The non-invasive blood glucose detecting system according to claim 1, wherein the signal processing module is specifically configured to perform wavelet transform on the acquired pulse wave signal to obtain a wavelet transform sequence. And searching for a modulus maxima corresponding to the preset threshold in the wavelet transform sequence according to the preset threshold, and extracting the feature value of the pulse wave signal according to the modulus maxima.
如权利要求 1至 4任一项所述的无创血糖检测系统, 其特征在于, 所述 红外光源至少包括 800nm-1500nm波段内的多个近红外发光管, 用于 向人体待测部位发射至少包括 800nm-1500nm波段的近红外光。 The non-invasive blood glucose detecting system according to any one of claims 1 to 4, wherein the infrared light source comprises at least a plurality of near-infrared light-emitting tubes in a band of 800 n m to 1500 nm for emitting to a part to be tested of a human body. At least the near-infrared light in the 800 nm to 1500 nm band is included.
一种无创血糖检测方法, 应用于无创血糖检测设备中, 该无创血糖检 测设备包括信号采集器和无创血糖检测装置, 所述信号采集器包括红 外光源和光电传感器, 所述无创血糖检测装置包括信号处理电路、 显 示屏以及通信单元, 其特征在于, 所述无创血糖检测方法包括步骤: 控制红外光源发射近红外光照射在人体待测部位, 并通过光电传感器 从近红外光照射下的人体待测部位获取脉搏波信号; 通过信号处理电 路对所获取的脉搏波信号进行前置处理得到脉搏波信号的数字信号; 从脉搏波信号的数字信号中提取脉搏波信号的特征值; 采用预测神经 网络检测脉搏波信号的特征值得到血糖浓度的初始检测值; 采用分类 神经网络检测脉搏波信号的特征值得到血糖浓度的检测区间; 判断初 始检测值是否属于检测区间内, 当初始检测值在检测区间内吋, 将初 始检测值显示在显示屏上作为待测者的人体血糖浓度值; 在显示屏上 显示一个吋段选择框供待测者选择血糖测量吋段, 并接收待测者选择 的血糖测量吋段; 将待测者的人体血糖浓度值和血糖测量吋段通过通 信单元发送至健康管理平台以供医生确定待测者的血糖情况。 A non-invasive blood glucose detecting method is applied to a non-invasive blood glucose detecting device, the non-invasive blood glucose detecting device includes a signal collector and a non-invasive blood glucose detecting device, the signal collector includes an infrared light source and a photoelectric sensor, and the non-invasive blood glucose detecting device includes a signal The processing circuit, the display screen and the communication unit are characterized in that: the non-invasive blood glucose detecting method comprises the steps of: controlling the infrared light source to emit near-infrared light to be irradiated on the part to be tested of the human body, and detecting the human body under the illumination of the near-infrared light through the photoelectric sensor The pulse wave signal is obtained by the position; the digital signal of the pulse wave signal is obtained by pre-processing the acquired pulse wave signal by the signal processing circuit; the characteristic value of the pulse wave signal is extracted from the digital signal of the pulse wave signal; and the predictive neural network is used for detecting The characteristic value of the pulse wave signal is used to obtain the initial detection value of the blood glucose concentration; the classification value of the pulse wave signal is detected by the classification neural network to obtain the detection interval of the blood glucose concentration; whether the initial detection value belongs to the detection interval, and the initial detection value is in the detection interval.吋, the initial detection value is displayed on the display screen as the blood glucose concentration value of the human body to be tested; a segment selection box is displayed on the display screen for the person to be tested to select the blood glucose measurement section, and receives the blood glucose measurement selected by the test subject The human blood glucose concentration value and the blood glucose measurement section of the test subject are sent to the health management platform through the communication unit for the doctor to determine the blood sugar condition of the test subject.
如权利要求 6所述的无创血糖检测方法, 其特征在于, 该方法还包括 步骤: 如果初始检测值不在检测区间内, 则舍弃该初始检测值并对下 一个脉搏波信号进行检测直到初始检测值在检测区间内为止。 The non-invasive blood glucose detecting method according to claim 6, wherein the method further comprises the step of: discarding the initial detected value and detecting the next pulse wave signal until the initial detected value if the initial detected value is not within the detection interval; Until the detection interval.
如权利要求 6所述的无创血糖检测方法, 其特征在于, 所述通过信号 处理电路对所获取的脉搏波信号进行前置处理得到脉搏波信号的数字 信号的步骤包括如下步骤: 对脉搏波信号进行滤波去除脉搏波信号中 的噪声和直流分量, 留下所需的交流分量; 对脉搏波信号进行放大和 模数转换以得到脉搏波信号的数字信号。
The non-invasive blood glucose detecting method according to claim 6, wherein the step of pre-processing the acquired pulse wave signal by the signal processing circuit to obtain a digital signal of the pulse wave signal comprises the following steps: Filtering removes noise and DC components in the pulse wave signal, leaving the desired AC component; amplifying and analog-to-digital converting the pulse wave signal to obtain a digital signal of the pulse wave signal.
[权利要求 9] 如权利要求 6所述的无创血糖检测方法, 其特征在于, 所述从脉搏波 信号的数字信号中提取脉搏波信号的特征值的步骤包括如下步骤: 对 所获取的脉搏波信号进行小波变换得到小波变换序列; 根据预设阈值 在小波变换序列中査找符合预设阈值的模极大值; 根据模极大值提取 所述脉搏波信号的特征值。 [Claim 9] The non-invasive blood glucose detecting method according to claim 6, wherein the step of extracting the characteristic value of the pulse wave signal from the digital signal of the pulse wave signal comprises the steps of: acquiring the pulse wave The signal is wavelet transformed to obtain a wavelet transform sequence; the modulus maximum value corresponding to the preset threshold is searched in the wavelet transform sequence according to the preset threshold; and the characteristic value of the pulse wave signal is extracted according to the modulus maximum value.
[权利要求 10] 如权利要求 6至 9任一项所述的无创血糖检测方法, 其特征在于, 该方 法还包括步骤: 所述红外光源至少包括 800nm-1500nm波段内的多个 近红外发光管, 用于向人体待测部位发射至少包括 800nm-1500nm波 段的近红外光。
The non-invasive blood glucose detecting method according to any one of claims 6 to 9, wherein the method further comprises the step of: the infrared light source comprising at least a plurality of near infrared rays in a band of 800 n m to 1500 nm The light-emitting tube is configured to emit near-infrared light including at least 800 n m-1500 nm into the body to be tested.
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