Monitoring system of vital sign monitoring optical fiber sensor

Abstract

The invention relates to the technical field of optical fiber sensing, and particularly discloses a monitoring system of a vital sign monitoring optical fiber sensor. Comprising a database module, an optical fiber sensor signal acquisition module, an optical fiber sensor signal processing module, a data analysis module, a comparison verification calibration module, a data comprehensive analysis module, an optical fiber sensor monitoring evaluation module and a user interface module. The database module is used for collecting vital sign data, including the heart rate, the body temperature, the respiratory rate and the oxyhemoglobin saturation, of healthy people collected by the optical fiber sensor, analyzing, screening, classifying and statistically analyzing the data to form normal numerical ranges under the conditions of different age groups, genders, weights and heights, and storing the normal numerical ranges in a database; the vital signs of the patient can be accurately monitored in real time, and monitoring result analysis suggestions and health warning information are provided by comparing and analyzing the vital signs with normal values of the vital signs in the database.

Description

Technical Field

[0001] The present invention relates to the technical field of optical fiber sensing, and in particular to a monitoring system of an optical fiber sensor for monitoring vital signs. Background Art

[0002] A fiber optic sensor is a sensor that converts the state of the object being measured into a measurable optical signal. The working principle of a fiber optic sensor is to send the incident light beam from the light source into the modulator through the optical fiber. The interaction with the external measured parameters in the modulator causes the optical properties of the light, such as the intensity, wavelength, frequency, phase, polarization state, etc., to change and become a modulated optical signal. The optical signal is then sent to the optoelectronic device through the optical fiber and the measured parameters are obtained after passing through the demodulator. During the whole process, the light beam is introduced through the optical fiber, passes through the modulator, and then is emitted. The role of the optical fiber is first to transmit the light beam, and secondly to act as an optical modulator.

[0003] Traditional vital signs monitoring systems usually rely on contact sensors and measure through electrical signals. Although they can measure parameters such as heart rate, respiratory rate, and body temperature, there are still some problems in practical applications. For example, the accuracy and stability of the sensor are difficult to maintain for a long time, and this method is susceptible to electromagnetic interference and requires close contact with the skin, which limits its application in mobile and remote monitoring. In contrast, fiber optic sensors have the advantages of anti-electromagnetic interference and non-contact measurement, but in practical applications, there is still the problem of unstable monitoring accuracy, especially when long-term continuous monitoring is prone to errors. In order to solve these problems, the present invention proposes a monitoring system that combines fiber optic sensors with a database of normal values ​​of vital signs. By comparing and correcting real-time data with standardized normal values ​​in the database, the monitoring accuracy and reliability are significantly improved, and potential faults of the sensor can be discovered and corrected in a timely manner. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a monitoring system of a vital sign monitoring optical fiber sensor to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a monitoring system for a vital signs monitoring optical fiber sensor, comprising a database module, an optical fiber sensor signal acquisition module, an optical fiber sensor signal processing module, a data analysis module, a comparison verification and calibration module, a data comprehensive analysis module, an optical fiber sensor monitoring and evaluation module and a user interface module.

[0006] Database module: used to collect the vital signs data of healthy people collected by optical fiber sensors, including heart rate, body temperature, respiratory rate and blood oxygen saturation, analyze, screen, classify and statistically analyze the data, and form the normal value range under different age groups, genders, weights and heights and store them in the database;

[0007] Optical fiber sensor signal acquisition module: including a heart rate signal information acquisition unit, a temperature signal information acquisition unit and a respiratory signal information acquisition unit, each acquisition unit is used to collect comprehensive parameters of physiological signals and transmit the collected comprehensive parameters to the optical fiber sensor signal processing module;

[0008] Optical fiber sensor signal processing module: used for preprocessing the comprehensive parameters collected by the optical fiber sensor signal acquisition module, and transmitting the preprocessed data to the data analysis module;

[0009] Data analysis module: including a heart rate monitoring and analysis unit, a temperature monitoring and analysis unit and a respiratory rate monitoring and analysis unit, which imports the data transmitted by the optical fiber sensor signal processing module into the corresponding analysis unit mathematical model, calculates the heart rate value monitored by the optical fiber sensor, the temperature value monitored by the optical fiber sensor and the respiratory rate value monitored by the optical fiber sensor, and transmits the calculation results to the comparison verification and calibration module;

[0010] Comparison verification and calibration module: used to compare the monitoring data transmitted by the data analysis module with the normal value range in the database to determine whether there is an abnormality, issue a warning signal for abnormal data, and perform accuracy calibration on the optical fiber sensor;

[0011] Data comprehensive analysis module: Based on the data from the comparison verification and calibration module, a mathematical model is established to calculate the comprehensive monitoring indicators of the optical fiber sensor, and the indicators are transmitted to the optical fiber sensor monitoring and evaluation module;

[0012] Optical fiber sensor monitoring and evaluation module: used to compare and analyze the comprehensive monitoring index of the optical fiber sensor calculated by the data comprehensive analysis module with the evaluation threshold, obtain the judgment result, and transmit the judgment result to the user interface module;

[0013] User interface module: used to display the comparative analysis results of the fiber optic sensor monitoring data and the database data. The system automatically performs fault diagnosis and provides maintenance suggestions or triggers the fault handling process.

[0014] Preferably, the heart rate signal information acquisition unit is used to collect heart rate signal parameters including heart rate light intensity, light intensity when there is no blood absorption, blood concentration at rest and heart rate phase angle; the temperature signal information acquisition unit is used to collect temperature signal parameters including initial temperature, reflection wavelength of FBG at temperature T, initial reflection wavelength and temperature change; the breathing signal information acquisition unit is used to collect breathing signal parameters including breathing light intensity, light intensity when there is no breathing, tissue thickness at rest and breathing phase angle.

[0015] Preferably, the optical fiber sensor signal processing module preprocesses the collected physiological signal comprehensive parameters in the following manner:

[0016] The optical signal received by the fiber optic sensor is converted into an electrical signal, and signal processing is performed including amplification, low-pass filtering, and analog-to-digital conversion.

[0017] Preferably, the calculation steps of the heart rate value monitored by the optical fiber sensor are as follows:

[0018] A1: The mathematical model of heart rate light intensity change is as follows:

[0019] I(t)=I 0 ×e [-α×C(t)] ,

[0020] Where I(t) represents the heart rate light intensity detected at time t, I 0 It is expressed as the light intensity when there is no blood absorption, α is expressed as the absorption coefficient, C(t) is expressed as the change of blood concentration over time, and e is expressed as a natural constant;

[0021] A2: The mathematical model of blood concentration changes is as follows:

[0022] C(t)=C 0 +ΔC×sin(2×π×f×t+φ 1 ),

[0023] Among them, C 0 represents the blood concentration at rest, △C represents the maximum blood concentration change caused by heart beats, f represents the heart rate, t represents time, φ 1 It is expressed as the heart rate phase angle;

[0024] A3: Use Fourier transform to analyze I(t) and find the main frequency component f of the signal HR , that is, the heart rate value monitored by the optical fiber sensor, the mathematical model is as follows:

[0025] f HR =argmax(FFT(I(t))),

[0026] Among them, fHR It represents the heart rate value monitored by the optical fiber sensor, FFT represents Fourier transform, argmax represents a function, and I(t) represents the heart rate light intensity detected at time t.

[0027] Preferably, the calculation steps of the temperature value monitored by the optical fiber sensor are as follows:

[0028] B1: The mathematical model of FBG reflection wavelength change is as follows:

[0029] λ B (T) = λ 0 +β×ΔT,

[0030] B2: Calculate the temperature value monitored by the optical fiber sensor. The calculation model is as follows:

[0031]

[0032] Where T represents the temperature value monitored by the optical fiber sensor, T 0 Denotes the initial temperature, λ B (T) represents the reflection wavelength of FBG at temperature T, λ B represents the initial reflection wavelength, β represents the temperature sensitivity coefficient, △T represents the temperature change, and FBG represents the fiber Bragg grating.

[0033] Preferably, the calculation steps of the optical fiber sensor monitoring the respiratory rate value are as follows:

[0034] C1: The mathematical model of the change of breathing light intensity is as follows:

[0035] LI(t)=LI 0 ×e [-γ×H(t)] ,

[0036] Where LI(t) represents the respiratory light intensity detected at time t, LI 0 It is expressed as the light intensity in the absence of breathing, γ is expressed as the absorption coefficient, H(t) is expressed as the change of tissue thickness over time, and e is expressed as a natural constant;

[0037] C2: The mathematical model of tissue thickness change is as follows:

[0038] H(t)=H 0 +ΔH×sin(2×π×r×t+φ 2 ),

[0039] Among them, H 0 represents the tissue thickness at rest, △C represents the maximum tissue thickness change caused by breathing, r represents the respiratory rate, t represents the time, φ 2 It is expressed as the respiratory phase angle;

[0040] C3: Use Fourier transform to analyze LI(t) and find the main frequency component f of the signal BR , which is the respiratory rate value monitored by the optical fiber sensor, and the mathematical model is as follows:

[0041] f BR =argmax(FFT(LI(t))),

[0042] Among them, f BR It represents the respiratory rate value monitored by the optical fiber sensor, FFT represents Fourier transform, argmax represents a function, and LI(t) represents the respiratory light intensity detected at time t.

[0043] Preferably, the specific manner in which the comparison verification and calibration module compares the monitoring data transmitted by the data analysis module with the normal value range in the database is:

[0044] Extract the heart rate value monitored by the optical fiber sensor and compare it with the normal heart rate value range in the database. If the heart rate value monitored by the optical fiber sensor exceeds the normal heart rate value range in the database, it is judged that the heart rate monitored by the optical fiber sensor is abnormal, and an early warning signal is issued for the abnormal information, prompting the user or management personnel to conduct further inspection or confirm the working status of the optical fiber sensor, and calibrate the accuracy of the optical fiber sensor. Otherwise, it indicates that there is no abnormality in the heart rate monitored by the optical fiber sensor;

[0045] Extract the temperature value monitored by the optical fiber sensor and compare it with the normal temperature value range in the database. If the temperature value monitored by the optical fiber sensor exceeds the normal temperature value range in the database, it is judged that the temperature monitored by the optical fiber sensor is abnormal, and an early warning signal is issued for the abnormal information, prompting the user or management personnel to conduct further inspection or confirm the working status of the optical fiber sensor, and calibrate the accuracy of the optical fiber sensor. Otherwise, it indicates that there is no abnormality in the temperature monitored by the optical fiber sensor;

[0046] The respiratory rate value monitored by the optical fiber sensor is extracted and compared with the normal respiratory rate value range in the database. If the respiratory rate value monitored by the optical fiber sensor exceeds the normal respiratory rate value range in the database, it is judged that there is an abnormality in the respiratory rate monitored by the optical fiber sensor, and an early warning signal is issued for the abnormal information, prompting the user or management personnel to conduct further inspection or confirm the working status of the optical fiber sensor, and perform accuracy calibration on the optical fiber sensor. Otherwise, it indicates that there is no abnormality in the respiratory rate monitored by the optical fiber sensor.

[0047] Preferably, the optical fiber sensor comprehensive monitoring index calculation model is as follows:

[0048] CMI=f HR ×T×f BR ×k,

[0049] Among them, CMI represents the comprehensive monitoring index of optical fiber sensor, fHR represents the heart rate value monitored by the optical fiber sensor, T represents the temperature value monitored by the optical fiber sensor, and f BR It represents the respiratory rate value monitored by the optical fiber sensor, and k represents other influencing factors of the comprehensive monitoring indicators of the optical fiber sensor.

[0050] Preferably, the specific method of comparative analysis of the optical fiber sensor monitoring and evaluation module is:

[0051] Obtain the comprehensive monitoring index of the optical fiber sensor and compare it with the evaluation threshold. If the comprehensive monitoring index of the optical fiber sensor is greater than the evaluation threshold, it indicates that there is an abnormality in the optical fiber sensor monitoring. Generate an analysis report for the abnormal data and send it to the corresponding management personnel for review and issue an early warning signal. Otherwise, it indicates that there is no abnormality in the optical fiber sensor monitoring.

[0052] Technical effects and advantages of the present invention:

[0053] 1. The present invention can monitor the patient's vital signs in real time and accurately, and provide monitoring result analysis suggestions and health warning information through comparative analysis with the normal value database of vital signs;

[0054] 2. The present invention utilizes signal processing algorithms (such as Fourier transform, wavelet transform, etc.) to effectively extract characteristic information from the signal, eliminate noise interference, and ensure the accuracy of the monitoring results;

[0055] 3. The present invention combines the high sensitivity of PPG technology with the precise measurement capability of FBG sensing technology to achieve high-precision monitoring of vital signs. PPG technology reflects the heartbeat by detecting changes in blood volume under the skin, while FBG sensors can accurately sense the tiny fluctuations in these changes, thereby providing more accurate data. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0057] Figure 1 It is a schematic diagram of the overall structure of the system of the present invention.

[0058] Figure 2 It is a schematic diagram of the structure of the acquisition unit of the optical fiber sensor signal acquisition module of the present invention. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] See also Figure 1-2 As shown, the present invention provides a monitoring system for a vital sign monitoring optical fiber sensor, including a database module, an optical fiber sensor signal acquisition module, an optical fiber sensor signal processing module, a data analysis module, a comparison verification and calibration module, a data comprehensive analysis module, an optical fiber sensor monitoring and evaluation module, and a user interface module.

[0061] The output end of the optical fiber sensor signal acquisition module is telecommunication connected to the input end of the optical fiber sensor signal processing module, the output end of the optical fiber sensor signal processing module is telecommunication connected to the input end of the data analysis module, the output end of the data analysis module is telecommunication connected to the input end of the comparison, verification and calibration module, the output end of the comparison, verification and calibration module is telecommunication connected to the input end of the data comprehensive analysis module and the input end of the user interface module respectively, the output end of the data comprehensive analysis module is telecommunication connected to the input end of the optical fiber sensor monitoring and evaluation module and the input end of the user interface module respectively, the output end of the optical fiber sensor monitoring and evaluation module is telecommunication connected to the input end of the user interface module, and the database module is connected to all modules.

[0062] The database is used to collect the vital signs data of healthy people collected by the optical fiber sensor, including heart rate, body temperature, respiratory rate and blood oxygen saturation, analyze, screen, classify and statistically analyze the data, and form normal value ranges under different age groups, genders, weights and heights and store them in the database;

[0063] In this embodiment, it should be specifically noted that the database supports real-time updates to reflect normal numerical changes under different age groups, genders, physical conditions, etc. In order to ensure the accuracy and reliability of the database, the database needs to be updated and maintained regularly.

[0064] The optical fiber sensor signal acquisition module includes a heart rate signal information acquisition unit, a temperature signal information acquisition unit and a respiratory signal information acquisition unit, each acquisition unit is used to collect comprehensive parameters of physiological signals and transmit the collected comprehensive parameters to the optical fiber sensor signal processing module;

[0065] In this embodiment, it should be specifically explained that the heart rate signal information acquisition unit is used to collect heart rate signal parameters including heart rate light intensity, light intensity when there is no blood absorption, blood concentration at rest and heart rate phase angle; the temperature signal information acquisition unit is used to collect temperature signal parameters including initial temperature, reflection wavelength of FBG at temperature T, initial reflection wavelength and temperature change; the breathing signal information acquisition unit is used to collect breathing signal parameters including breathing light intensity, light intensity when there is no breathing, tissue thickness at rest and breathing phase angle.

[0066] In this embodiment, it should be specifically explained that the collection method of the comprehensive parameters of the physiological signal is as follows: the heart rate light intensity and the respiration light intensity are collected by using an optical fiber sensor to collect blood volume pulse wave recording (PPG) signals, that is, signals whose light intensity changes with time; the light intensity when there is no blood absorption is measured dynamically, and the background light intensity that does not change with the heart beat is separated from the signal by an algorithm, specifically, a low-pass filter is used to remove the high-frequency component and retain the background signal; the blood concentration at rest is extracted from the PPG signal by the existing signal processing technology, and the remaining background signal can be considered as the blood concentration at rest; the phase angle is obtained by performing Fourier transform (FFT) on the PPG signal to find the phase angle corresponding to the main frequency component; the light intensity when there is no breathing is measured dynamically, and the background light intensity is extracted from the respiratory signal by the signal processing technology; the tissue thickness at rest is extracted from the respiratory signal by the existing signal processing technology, and the remaining background signal can be considered as the tissue thickness at rest.

[0067] The optical fiber sensor signal processing module is used to pre-process the comprehensive parameters collected by the optical fiber sensor signal collection module and transmit the pre-processed data to the data analysis module;

[0068] In this embodiment, it should be specifically explained that the optical fiber sensor signal processing module preprocesses the collected physiological signal comprehensive parameters in the following manner:

[0069] The optical signal received by the fiber optic sensor is converted into an electrical signal, and signal processing including amplification, low-pass filtering and analog-to-digital conversion is performed to remove noise and extract useful physiological information for subsequent digital signal processing and analysis.

[0070] The data analysis module includes a heart rate monitoring analysis unit, a temperature monitoring analysis unit and a respiratory rate monitoring analysis unit, which imports the data transmitted by the optical fiber sensor signal processing module into the corresponding analysis unit mathematical model, calculates the heart rate value monitored by the optical fiber sensor, the temperature value monitored by the optical fiber sensor and the respiratory rate value monitored by the optical fiber sensor, and transmits the calculation results to the comparison verification and calibration module;

[0071] In this embodiment, it should be specifically explained that the calculation steps of the heart rate value monitored by the optical fiber sensor are as follows:

[0072] A1: The mathematical model of heart rate light intensity change is as follows:

[0073] I(t)=I 0 ×e [-α×C(t)] ,

[0074] Where I(t) represents the heart rate light intensity detected at time t, I 0 It is expressed as the light intensity when there is no blood absorption, α is expressed as the absorption coefficient, C(t) is expressed as the change of blood concentration over time, and e is expressed as a natural constant;

[0075] A2: The mathematical model of blood concentration changes is as follows:

[0076] C(t)=C 0 +ΔC×sin(2×π×f×t+φ 1 ),

[0077] Among them, C 0 represents the blood concentration at rest, △C represents the maximum blood concentration change caused by heart beats, f represents the heart rate, t represents time, φ 1 It is expressed as the heart rate phase angle;

[0078] A3: Use Fourier transform to analyze I(t) and find the main frequency component f of the signal HR , that is, the heart rate value monitored by the optical fiber sensor, the mathematical model is as follows:

[0079] f HR =argmax(FFT(I(t))),

[0080] Among them, f HR It represents the heart rate value monitored by the optical fiber sensor, FFT represents Fourier transform, argmax represents a function, and I(t) represents the heart rate light intensity detected at time t.

[0081] In this embodiment, it should be specifically explained that the calculation steps of the temperature value monitored by the optical fiber sensor are as follows:

[0082] B1: The mathematical model of FBG reflection wavelength change is as follows:

[0083] λ B (T) = λ 0 +β×ΔT,

[0084] B2: Calculate the temperature value monitored by the optical fiber sensor. The calculation model is as follows:

[0085]

[0086] Where T represents the temperature value monitored by the optical fiber sensor, T 0 Denotes the initial temperature, λ B (T) represents the reflection wavelength of FBG at temperature T, λ B represents the initial reflection wavelength, β represents the temperature sensitivity coefficient, △T represents the temperature change, and FBG represents the fiber Bragg grating.

[0087] In this embodiment, it should be specifically explained that the fiber optic sensor body temperature monitoring can be achieved through a fiber Bragg grating (FBG) sensor, and the change in the FBG reflection wavelength is related to the temperature; the fiber Bragg grating (FBG) is a diffraction grating that uses a certain method to make the refractive index of the fiber core change periodically, thereby forming an all-fiber device. The working principle of FBG is based on the Bragg reflection principle. When light passes through the optical fiber, if the grating period is about half the wavelength of the incident light, then all the reflected light will coherently combine into a large reflection with a specific wavelength, which is called the Bragg condition. The wavelength at which the incident light is reflected is called the Bragg wavelength. By adjusting the period and refractive index change of the grating, the reflection wavelength and reflection bandwidth of the FBG can be controlled, thereby achieving selective reflection of light of a specific wavelength.

[0088] In this embodiment, it should be specifically explained that the calculation steps of the respiratory rate value monitored by the optical fiber sensor are as follows:

[0089] C1: The mathematical model of the change of breathing light intensity is as follows:

[0090] LI(t)=LI 0 ×e [-γ×H(t)] ,

[0091] Where LI(t) represents the respiratory light intensity detected at time t, LI 0 It is expressed as the light intensity in the absence of breathing, γ is expressed as the absorption coefficient, H(t) is expressed as the change of tissue thickness over time, and e is expressed as a natural constant;

[0092] C2: The mathematical model of tissue thickness change is as follows:

[0093] H(t)=H 0 +ΔH×sin(2×π×r×t+φ 2 ),

[0094] Among them, H 0 represents the tissue thickness at rest, △C represents the maximum tissue thickness change caused by breathing, r represents the respiratory rate, t represents the time, φ 2 It is expressed as the respiratory phase angle;

[0095] C3: Use Fourier transform to analyze LI(t) and find the main frequency component f of the signal BR , which is the respiratory rate value monitored by the optical fiber sensor, and the mathematical model is as follows:

[0096] f BR =argmax(FFT(LI(t))),

[0097] Among them, f BR It represents the respiratory rate value monitored by the optical fiber sensor, FFT represents Fourier transform, argmax represents a function, and LI(t) represents the respiratory light intensity detected at time t.

[0098] The comparison verification and calibration module is used to compare the monitoring data transmitted by the data analysis module with the normal value range in the database to determine whether an abnormality occurs, issue an early warning signal for abnormal data, and perform precision calibration on the optical fiber sensor;

[0099] In this embodiment, it should be specifically explained that the specific manner in which the comparison verification and calibration module compares the monitoring data transmitted by the data analysis module with the normal value range in the database is:

[0100] Extract the heart rate value monitored by the optical fiber sensor and compare it with the normal heart rate value range in the database. If the heart rate value monitored by the optical fiber sensor exceeds the normal heart rate value range in the database, it is judged that the heart rate monitored by the optical fiber sensor is abnormal, and an early warning signal is issued for the abnormal information, prompting the user or management personnel to conduct further inspection or confirm the working status of the optical fiber sensor, and calibrate the accuracy of the optical fiber sensor. Otherwise, it indicates that there is no abnormality in the heart rate monitored by the optical fiber sensor;

[0101] Extract the temperature value monitored by the optical fiber sensor and compare it with the normal temperature value range in the database. If the temperature value monitored by the optical fiber sensor exceeds the normal temperature value range in the database, it is judged that the temperature monitored by the optical fiber sensor is abnormal, and an early warning signal is issued for the abnormal information, prompting the user or management personnel to conduct further inspection or confirm the working status of the optical fiber sensor, and calibrate the accuracy of the optical fiber sensor. Otherwise, it indicates that there is no abnormality in the temperature monitored by the optical fiber sensor;

[0102] The respiratory rate value monitored by the optical fiber sensor is extracted and compared with the normal respiratory rate value range in the database. If the respiratory rate value monitored by the optical fiber sensor exceeds the normal respiratory rate value range in the database, it is judged that there is an abnormality in the respiratory rate monitored by the optical fiber sensor, and an early warning signal is issued for the abnormal information, prompting the user or management personnel to conduct further inspection or confirm the working status of the optical fiber sensor, and perform accuracy calibration on the optical fiber sensor. Otherwise, it indicates that there is no abnormality in the respiratory rate monitored by the optical fiber sensor.

[0103] The data comprehensive analysis module establishes a mathematical model to calculate the comprehensive monitoring index of the optical fiber sensor based on the data of the comparison verification and calibration module, and transmits it to the optical fiber sensor monitoring and evaluation module;

[0104] In this embodiment, it should be specifically explained that the calculation model of the comprehensive monitoring index of the optical fiber sensor is as follows:

[0105] CMI=f HR ×T×f BR ×k,

[0106] Among them, CMI represents the comprehensive monitoring index of optical fiber sensor, f HR represents the heart rate value monitored by the optical fiber sensor, T represents the temperature value monitored by the optical fiber sensor, and f BR It represents the respiratory rate value monitored by the optical fiber sensor, and k represents other influencing factors of the comprehensive monitoring indicators of the optical fiber sensor.

[0107] The optical fiber sensor monitoring and evaluation module is used to compare and analyze the optical fiber sensor comprehensive monitoring index calculated by the data comprehensive analysis module with the evaluation threshold, obtain a judgment result, and transmit the judgment result to the user interface module;

[0108] In this embodiment, it should be specifically explained that the specific method of comparative analysis of the optical fiber sensor monitoring and evaluation module is:

[0109] Obtain the comprehensive monitoring index of the optical fiber sensor and compare it with the evaluation threshold. If the comprehensive monitoring index of the optical fiber sensor is greater than the evaluation threshold, it indicates that there is an abnormality in the optical fiber sensor monitoring. Generate an analysis report for the abnormal data and send it to the corresponding management personnel for review and issue an early warning signal. Otherwise, it indicates that there is no abnormality in the optical fiber sensor monitoring.

[0110] The user interface module is used to display the comparison and analysis results of the optical fiber sensor monitoring data and the database data. The system automatically performs fault diagnosis and provides maintenance suggestions or triggers a fault handling process.

[0111] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0112] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A monitoring system for vital signs monitoring optical fiber sensors, characterized in that: include: Database module: used to collect the vital signs data of healthy people collected by optical fiber sensors, including heart rate, body temperature, respiratory rate and blood oxygen saturation, analyze, screen, classify and statistically analyze the data, and form the normal value range under different age groups, genders, weights and heights and store them in the database; Optical fiber sensor signal acquisition module: including a heart rate signal information acquisition unit, a temperature signal information acquisition unit and a respiratory signal information acquisition unit, each acquisition unit is used to collect comprehensive parameters of physiological signals and transmit the collected comprehensive parameters to the optical fiber sensor signal processing module; Optical fiber sensor signal processing module: used for preprocessing the comprehensive parameters collected by the optical fiber sensor signal acquisition module, and transmitting the preprocessed data to the data analysis module; Data analysis module: including a heart rate monitoring and analysis unit, a temperature monitoring and analysis unit and a respiratory rate monitoring and analysis unit, which imports the data transmitted by the optical fiber sensor signal processing module into the corresponding analysis unit mathematical model, calculates the heart rate value monitored by the optical fiber sensor, the temperature value monitored by the optical fiber sensor and the respiratory rate value monitored by the optical fiber sensor, and transmits the calculation results to the comparison verification and calibration module; Comparison verification and calibration module: used to compare the monitoring data transmitted by the data analysis module with the normal value range in the database to determine whether there is an abnormality, issue a warning signal for abnormal data, and perform accuracy calibration on the optical fiber sensor; Data comprehensive analysis module: Based on the data from the comparison verification and calibration module, a mathematical model is established to calculate the comprehensive monitoring indicators of the optical fiber sensor, and the indicators are transmitted to the optical fiber sensor monitoring and evaluation module; Optical fiber sensor monitoring and evaluation module: used to compare and analyze the comprehensive monitoring index of the optical fiber sensor calculated by the data comprehensive analysis module with the evaluation threshold, obtain the judgment result, and transmit the judgment result to the user interface module; User interface module: used to display the comparative analysis results of the fiber optic sensor monitoring data and the database data. The system automatically performs fault diagnosis and provides maintenance suggestions or triggers the fault handling process.

2. A monitoring system for vital signs monitoring optical fiber sensors according to claim 1, characterized in that: The heart rate signal information acquisition unit is used to collect heart rate signal parameters including heart rate light intensity, light intensity when there is no blood absorption, blood concentration at rest and heart rate phase angle; the temperature signal information acquisition unit is used to collect temperature signal parameters including initial temperature, reflection wavelength of FBG at temperature T, initial reflection wavelength and temperature change; the breathing signal information acquisition unit is used to collect breathing signal parameters including breathing light intensity, light intensity when there is no breathing, tissue thickness at rest and breathing phase angle.

3. The monitoring system of a vital sign monitoring optical fiber sensor according to claim 1, characterized in that: The optical fiber sensor signal processing module preprocesses the collected physiological signal comprehensive parameters in the following manner: The optical signal received by the fiber optic sensor is converted into an electrical signal, and signal processing is performed including amplification, low-pass filtering, and analog-to-digital conversion.

4. The monitoring system of a vital sign monitoring optical fiber sensor according to claim 1, characterized in that: The calculation steps of the heart rate value monitored by the optical fiber sensor are as follows: A1: The mathematical model of heart rate light intensity change is as follows: I(t)=I0×e [-α×C(t)] , Where I(t) represents the heart rate light intensity detected at time t, I0 represents the light intensity without blood absorption, α represents the absorption coefficient, C(t) represents the change of blood concentration over time, and e represents the natural constant; A2: The mathematical model of blood concentration changes is as follows: C(t)=C0+ΔC×sin(2×π×f×t+φ1), Among them, C0 represents the blood concentration at rest, △C represents the maximum blood concentration change caused by heart beats, f represents the heart rate, t represents the time, and φ1 represents the heart rate phase angle; A3: Use Fourier transform to analyze I(t) and find the main frequency component f of the signal HR , that is, the heart rate value monitored by the optical fiber sensor, the mathematical model is as follows: f HR =argmax(FFT(I(t))), Among them, f HR It represents the heart rate value monitored by the optical fiber sensor, FFT represents Fourier transform, argmax represents a function, and I(t) represents the heart rate light intensity detected at time t.

5. The monitoring system of a vital sign monitoring optical fiber sensor according to claim 1, characterized in that: The calculation steps of the temperature value monitored by the optical fiber sensor are as follows: B1: The mathematical model of FBG reflection wavelength change is as follows: λ B (T)=λ0+β×ΔT, B2: Calculate the temperature value monitored by the optical fiber sensor. The calculation model is as follows: Where T represents the temperature value monitored by the optical fiber sensor, T0 represents the initial temperature, and λ B (T) represents the reflection wavelength of FBG at temperature T, λ B represents the initial reflection wavelength, β represents the temperature sensitivity coefficient, △T represents the temperature change, and FBG represents the fiber Bragg grating.

6. The monitoring system of a vital sign monitoring optical fiber sensor according to claim 1, characterized in that: The calculation steps of the optical fiber sensor monitoring the respiratory rate value are as follows: C1: The mathematical model of the change of breathing light intensity is as follows: LI(t)=LI0×e [-γ×H(t)] , Where LI(t) represents the respiratory light intensity detected at time t, LI0 represents the light intensity when there is no breathing, γ represents the absorption coefficient, H(t) represents the change of tissue thickness over time, and e represents a natural constant; C2: The mathematical model of tissue thickness change is as follows: H(t)=H0+ΔH×sin(2×π×r×t+φ2), Where H0 represents the tissue thickness at rest, △C represents the maximum tissue thickness change caused by breathing, r represents the respiratory rate, t represents time, and φ2 represents the respiratory phase angle; C3: Use Fourier transform to analyze LI(t) and find the main frequency component f of the signal BR , which is the respiratory rate value monitored by the optical fiber sensor, and the mathematical model is as follows: f BR =argmax(FFT(LI(t))), Among them, f BR It represents the respiratory rate value monitored by the optical fiber sensor, FFT represents Fourier transform, argmax represents a function, and LI(t) represents the respiratory light intensity detected at time t.

7. The monitoring system of a vital sign monitoring optical fiber sensor according to claim 1, characterized in that: The specific method in which the comparison verification and calibration module compares the monitoring data transmitted by the data analysis module with the normal value range in the database is: Extract the heart rate value monitored by the optical fiber sensor and compare it with the normal heart rate value range in the database. If the heart rate value monitored by the optical fiber sensor exceeds the normal heart rate value range in the database, it is judged that the heart rate monitored by the optical fiber sensor is abnormal, and an early warning signal is issued for the abnormal information, prompting the user or management personnel to conduct further inspection or confirm the working status of the optical fiber sensor, and calibrate the accuracy of the optical fiber sensor. Otherwise, it indicates that there is no abnormality in the heart rate monitored by the optical fiber sensor; Extract the temperature value monitored by the optical fiber sensor and compare it with the normal temperature value range in the database. If the temperature value monitored by the optical fiber sensor exceeds the normal temperature value range in the database, it is judged that the temperature monitored by the optical fiber sensor is abnormal, and an early warning signal is issued for the abnormal information, prompting the user or management personnel to conduct further inspection or confirm the working status of the optical fiber sensor, and calibrate the accuracy of the optical fiber sensor. Otherwise, it indicates that there is no abnormality in the temperature monitored by the optical fiber sensor; The respiratory rate value monitored by the optical fiber sensor is extracted and compared with the normal respiratory rate value range in the database. If the respiratory rate value monitored by the optical fiber sensor exceeds the normal respiratory rate value range in the database, it is judged that there is an abnormality in the respiratory rate monitored by the optical fiber sensor, and an early warning signal is issued for the abnormal information, prompting the user or management personnel to conduct further inspection or confirm the working status of the optical fiber sensor, and perform accuracy calibration on the optical fiber sensor. Otherwise, it indicates that there is no abnormality in the respiratory rate monitored by the optical fiber sensor.

8. The monitoring system of a vital sign monitoring optical fiber sensor according to claim 1, characterized in that: The calculation model of the comprehensive monitoring index of the optical fiber sensor is as follows: CMI=f HR ×T×f BR ×k, Among them, CMI represents the comprehensive monitoring index of optical fiber sensor, f HR represents the heart rate value monitored by the optical fiber sensor, T represents the temperature value monitored by the optical fiber sensor, and f BR It represents the respiratory rate value monitored by the optical fiber sensor, and k represents other influencing factors of the comprehensive monitoring indicators of the optical fiber sensor.

9. The monitoring system of a vital sign monitoring optical fiber sensor according to claim 1, characterized in that: The specific method of comparative analysis of the optical fiber sensor monitoring and evaluation module is as follows: Obtain the comprehensive monitoring index of the optical fiber sensor and compare it with the evaluation threshold. If the comprehensive monitoring index of the optical fiber sensor is greater than the evaluation threshold, it indicates that there is an abnormality in the optical fiber sensor monitoring. Generate an analysis report for the abnormal data and send it to the corresponding management personnel for review and issue an early warning signal. Otherwise, it indicates that there is no abnormality in the optical fiber sensor monitoring.

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