Monitoring system of vital sign monitoring optical fiber sensor

Abstract

Provided is 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 comparative verification and calibration module, a data comprehensive analysis module, an optical fiber sensor monitoring and evaluation module, and a user interface module. The database module is used for collecting vital sign data of healthy people acquired by an optical fiber sensor, the data comprising heart rate, body temperature, respiratory rate, and blood oxygen saturation, for analyzing, screening, classifying, and statistically analyzing the data to form a normal numerical range under different age, gender, weight, and height conditions, and for storing the normal numerical range in a database. The monitoring system can accurately monitor vital signs of a patient in real time, and provide, by comparing and analyzing the vital signs with normal values of the vital signs in the database, a monitoring result analysis suggestion, and health warning information.

Description

Monitoring system of vital sign monitoring optical fiber sensor TECHNICAL FIELD

[0001] The present application relates to the field of optical fiber sensing technology, and particularly relates to a monitoring system of a vital sign monitoring optical fiber sensor. BACKGROUND

[0002] An optical fiber sensor is a sensor that converts the state of a measured object into a measurable optical signal. The working principle of an optical fiber sensor is that a light beam incident from a light source is sent into a modulator via an optical fiber, and in the modulator, the interaction with the measured parameter in the external environment causes changes in the optical properties of the light, such as the intensity, wavelength, frequency, phase, polarization state, etc., of the light, becoming a modulated optical signal, which is then sent into a photoelectric device via an optical fiber and obtained after demodulation. In the entire process, the light beam is guided into the optical fiber, and then emitted after passing through the modulator, wherein the optical fiber first transmits the light beam and then functions as an optical modulator.

[0003] Traditional vital sign monitoring systems usually rely on contact sensors and measure through electrical signals, and although they can measure parameters such as heart rate, respiratory rate, and body temperature, there are still some problems in practical application, such as the difficulty of maintaining the accuracy and stability of the sensor for a long time, and the fact that this method is susceptible to electromagnetic interference and requires close contact with the skin, limiting its application in mobile and remote monitoring. In contrast, optical fiber sensors have the advantages of electromagnetic interference resistance and non-contact measurement, but there are still problems of unstable monitoring accuracy in practical application, especially when continuously monitoring for a long time, which is prone to errors. In order to solve these problems, the present application proposes a monitoring system that combines an optical fiber sensor with a vital sign normal value database, which significantly improves the monitoring accuracy and reliability by comparing and correcting real-time data with standardized normal values in the database, and can timely discover and correct potential faults of the sensor. SUMMARY

[0004] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present application provide a monitoring system of a vital sign monitoring optical fiber sensor to solve the problems raised in the above background.

[0005] To achieve the above object, the present application provides the following technical scheme: 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 and verification calibration module, a data comprehensive analysis module, an optical fiber sensor monitoring evaluation module, and a user interface module.

[0006] Database module: used for collecting the vital sign data of healthy people collected by the optical fiber sensor, including heart rate, body temperature, respiratory rate and blood oxygen saturation, analyzing, screening, classifying and statistically analyzing the data, forming the normal value range under different age, gender, weight and height conditions and storing in the database;

[0007] Optical fiber sensor signal acquisition module: including heart rate signal information acquisition unit, temperature signal information acquisition unit and respiratory signal information acquisition unit, each acquisition unit is used for acquiring physiological signal comprehensive parameters, and the acquired comprehensive parameters are transmitted to the optical fiber sensor signal processing module;

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

[0009] Data analysis module: including heart rate monitoring analysis unit, temperature monitoring analysis unit and respiratory rate monitoring analysis unit, the data transmitted by the optical fiber sensor signal processing module is introduced into the corresponding analysis unit mathematical model, the optical fiber sensor monitoring heart rate value, the optical fiber sensor monitoring temperature value and the optical fiber sensor monitoring respiratory rate value are calculated, and the calculation results are transmitted to the comparison verification calibration module;

[0010] Comparison verification calibration module: used for comparing the monitoring data transmitted by the data analysis module with the normal value range in the database to determine whether an abnormality occurs, issuing a warning signal for the abnormal data, and calibrating the precision of the optical fiber sensor;

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

[0012] Optical fiber sensor monitoring evaluation module: used for comparing the comprehensive monitoring index of the optical fiber sensor calculated by the data comprehensive analysis module with the evaluation threshold, obtaining a judgment result, and transmitting the judgment result to the user interface module;

[0013] User interface module: used for displaying the comparison analysis result of the optical fiber sensor monitoring data and the database data, automatically performing fault diagnosis, and providing maintenance suggestion or triggering fault processing process.

[0014] Preferably, the heart rate signal information acquisition unit is configured to acquire heart rate signal parameters including heart rate light intensity, light intensity without blood absorption, blood concentration at rest, and heart rate phase angle; the temperature signal information acquisition unit is configured to acquire temperature signal parameters including initial temperature, FBG reflection wavelength at temperature T, initial reflection wavelength, and temperature change amount; and the respiration signal information acquisition unit is configured to acquire respiration signal parameters including respiration light intensity, light intensity without respiration, tissue thickness at rest, and respiration phase angle.

[0015] Preferably, the pre-processing manner of the optical fiber sensor signal processing module on the acquired physiological signal comprehensive parameters is as follows:

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

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

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

[0019] ,

[0020] wherein I(t) represents the heart rate light intensity detected at time t, I0 represents the light intensity without blood absorption, a represents the absorption coefficient, C(t) represents the blood concentration change over time, and e represents the natural constant;

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

[0022] ,

[0023] wherein C0 represents the blood concentration at rest, △C represents the maximum blood concentration change amplitude due to heart beating, f represents the heart rate, t represents the time, and represents the heart rate phase angle;

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

[0025] ,

[0026] wherein f HR represents the optical fiber sensor monitoring heart rate value, FFT represents the 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 optical fiber sensor monitoring temperature value are as follows:

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

[0029] ,

[0030] B2: The calculation of optical fiber sensor monitoring temperature value, the calculation model is as follows:

[0031] ,

[0032] Wherein, T represents the optical fiber sensor monitoring temperature value, T0 represents 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, FBG represents the fiber Bragg grating.

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

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

[0035] ,

[0036] Wherein, LI(t) represents the detected respiratory light intensity at time t, LI0 represents the light intensity without breathing, γ represents the absorption coefficient, H(t) represents the change of tissue thickness with time, e represents the natural constant;

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

[0038] ,

[0039] Wherein, H0 represents the tissue thickness at rest, △C represents the maximum tissue thickness change amplitude due to breathing, r represents the respiratory rate, t represents the time, represents the respiratory phase angle;

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

[0041] ,

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

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

[0044] The heart rate value monitored by the optical fiber sensor is extracted and compared with the normal heart rate value range in the database. If the heart rate value monitored by the optical fiber sensor is outside the normal heart rate value range in the database, it is determined that the heart rate monitored by the optical fiber sensor is abnormal, a warning signal is sent for the abnormal information, and the user or the management personnel is prompted to further check or confirm the working state of the optical fiber sensor, and the optical fiber sensor is calibrated for precision, otherwise, it is indicated that the heart rate monitored by the optical fiber sensor is normal.

[0045] The temperature value monitored by the optical fiber sensor is extracted and compared with the normal temperature value range in the database. If the temperature value monitored by the optical fiber sensor is outside the normal temperature value range in the database, it is determined that the temperature monitored by the optical fiber sensor is abnormal, a warning signal is sent for the abnormal information, and the user or the management personnel is prompted to further check or confirm the working state of the optical fiber sensor, and the optical fiber sensor is calibrated for precision, otherwise, it is indicated that the temperature monitored by the optical fiber sensor is normal.

[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 is outside the normal respiratory rate value range in the database, it is determined that the respiratory rate monitored by the optical fiber sensor is abnormal, a warning signal is sent for the abnormal information, and the user or the management personnel is prompted to further check or confirm the working state of the optical fiber sensor, and the optical fiber sensor is calibrated for precision, otherwise, it is indicated that the respiratory rate monitored by the optical fiber sensor is normal.

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

[0048] ,

[0049] wherein CMI represents the comprehensive monitoring index of the 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, f BR represents the respiratory rate value monitored by the optical fiber sensor, and k represents other influence factors of the comprehensive monitoring index of the optical fiber sensor.

[0050] Preferably, the specific way in which the optical fiber sensor monitoring evaluation module compares and analyzes is as follows:

[0051] The comprehensive monitoring index of the optical fiber sensor is compared with the evaluation threshold value, if the comprehensive monitoring index of the optical fiber sensor is greater than the evaluation threshold value, it indicates that the optical fiber sensor monitoring is abnormal, an analysis report of the abnormal data is generated and sent to the corresponding management personnel for viewing and issuing a warning signal, otherwise it indicates that the optical fiber sensor monitoring is normal.

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

[0053] 1. The present application can monitor the vital signs of patients in real time and accurately, and provide monitoring result analysis suggestions and health warning information through comparison and analysis with the normal value database of vital signs.

[0054] 2. The present application can effectively extract the characteristic information in the signal and eliminate noise interference by using signal processing algorithms (such as Fourier transform, wavelet transform, etc.), ensuring the accuracy of the monitoring results.

[0055] 3. The present application combines the high sensitivity of PPG technology with the precise measurement capability of FBG sensing technology, realizing high-precision monitoring of vital signs. PPG technology reflects the heartbeat of the heart by detecting the change of blood volume under the skin, while FBG sensor can accurately perceive the slight fluctuations in these changes, thus providing more accurate data. BRIEF DESCRIPTION OF DRAWINGS

[0056] The present application will be further described with the help of the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present application. Other drawings can also be obtained by those skilled in the art without creative labor on the basis of the following drawings.

[0057] Fig. 1 is a schematic diagram of the overall structure of the system of the present application.

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

[0059] The technical solutions in the embodiments of the present application will be described clearly and completely below with the help of the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0060] Please refer to Figs. 1-2, the present application provides a monitoring system for vital sign monitoring optical fiber sensor, including database module, optical fiber sensor signal acquisition module, optical fiber sensor signal processing module, data analysis module, comparison and verification calibration module, data comprehensive analysis module, optical fiber sensor monitoring evaluation module and user interface module.

[0061] The output end of the optical fiber sensor signal acquisition module is in electrical connection with the input end of the optical fiber sensor signal processing module, the output end of the optical fiber sensor signal processing module is in electrical connection with the input end of the data analysis module, the output end of the data analysis module is in electrical connection with the input end of the comparison verification calibration module, the output end of the comparison verification calibration module is in electrical connection with 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 in electrical connection with 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 in electrical connection with the input end of the user interface module, and the database module is connected with all the modules.

[0062] The database is used to collect the vital sign data of healthy people collected by the optical fiber sensor, including heart rate, body temperature, respiratory rate and blood oxygen saturation, and to analyze, screen, classify and statistically analyze the data to form normal numerical ranges under different age, gender, weight and height conditions and store them in the database.

[0063] In this embodiment, it needs to be specifically pointed out that the database supports real-time updating to reflect the normal numerical changes under different age, gender, physical condition and other conditions, and in order to ensure the accuracy and reliability of the database, the database also 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 acquire physiological signal comprehensive parameters and transmit the acquired comprehensive parameters to the optical fiber sensor signal processing module.

[0065] In this embodiment, it needs to be specifically pointed out that the heart rate signal information acquisition unit is used to acquire heart rate signal parameters including heart rate light intensity, light intensity without blood absorption, blood concentration at rest and heart rate phase angle; the temperature signal information acquisition unit is used to acquire temperature signal parameters including initial temperature, FBG reflection wavelength at temperature T, initial reflection wavelength and temperature change amount; and the respiratory signal information acquisition unit is used to acquire respiratory signal parameters including respiratory light intensity, light intensity without respiration, tissue thickness at rest and respiratory phase angle.

[0066] In this embodiment, it needs to be specifically pointed out that the collection method of the physiological signal comprehensive parameter is as follows: the heart rate light intensity and the respiratory light intensity are collected by using an optical fiber sensor to collect a photoplethysmogram (PPG) signal, that is, a signal of light intensity changing with time; the light intensity without blood absorption adopts a dynamic measurement method, and the background light intensity not changing with heart beat is separated from the signal by an algorithm, specifically, a low-pass filter is used to remove high-frequency components and retain the background signal; the blood concentration at rest is extracted from the PPG signal by existing signal processing technology, and the remaining background signal can be considered as the blood concentration at rest; the phase angle is found by performing Fourier transform (FFT) on the PPG signal to find the phase angle corresponding to the main frequency component; the light intensity without breathing adopts a dynamic measurement method, and the background light intensity is extracted from the respiratory signal by signal processing technology; the tissue thickness at rest is extracted from the respiratory signal by 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 configured to pre-process the comprehensive parameters collected by the optical fiber sensor signal acquisition module and transmit the pre-processed data to the data analysis module.

[0068] In this embodiment, it needs to be specifically pointed out that the pre-processing method of the optical fiber sensor signal processing module for the collected physiological signal comprehensive parameters is as follows:

[0069] The optical signal received by the optical fiber sensor is converted into an electrical signal, and signal processing including amplification, low-pass filtering and analog-to-digital conversion is performed; noise is removed and useful physiological information is extracted, so as to facilitate 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, and the data transmitted by the optical fiber sensor signal processing module is introduced into the corresponding analysis unit mathematical model to calculate the optical fiber sensor monitoring heart rate value, the optical fiber sensor monitoring temperature value and the optical fiber sensor monitoring respiratory rate value, and the calculation results are transmitted to the comparison verification calibration module.

[0071] In this embodiment, it needs to be specifically pointed out that the calculation steps of the optical fiber sensor monitoring heart rate value are as follows:

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

[0073] ,

[0074] Where I(t) represents the detected heart rate light intensity at time t, I0 represents the light intensity without blood absorption, a represents the absorption coefficient, C(t) represents the blood concentration change over time, e represents the natural constant;

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

[0076] ,

[0077] Where C0 represents the blood concentration at rest, △C represents the maximum blood concentration change amplitude due to heart beating, f represents the heart rate, t represents the time, represents the heart rate phase angle;

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

[0079] ,

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

[0081] In this embodiment, it needs to be specifically pointed out that the calculation steps of the optical fiber sensor monitoring temperature value are as follows:

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

[0083] ,

[0084] B2: The optical fiber sensor monitoring temperature value is calculated, and the calculation model is as follows:

[0085] ,

[0086] Where T represents the optical fiber sensor monitoring temperature value, T0 represents 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 needs to be specifically pointed out that the optical fiber sensor body temperature monitoring can be realized by a fiber Bragg grating (FBG) sensor, and the change of the FBG reflected wavelength is related to the temperature; the fiber Bragg grating (FBG) is a diffraction grating, which makes the refractive index of the fiber core change periodically by a certain method, thereby forming a kind of 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 of the incident light wavelength, then all the reflected light will be coherently combined 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 grating period and refractive index change, the reflection wavelength and reflection bandwidth of the FBG can be controlled, thereby realizing the selective reflection of light of a specific wavelength.

[0088] In this embodiment, it needs to be specifically pointed out that the calculation steps of the optical fiber sensor monitoring the respiratory rate value are as follows:

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

[0090]

[0091] Wherein, LI(t) represents the detected respiratory light intensity at time t, LI0 represents the light intensity without breathing, γ represents the absorption coefficient, H(t) represents the change of the tissue thickness with time, and e represents the natural constant;

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

[0093]

[0094] Wherein, H0 represents the tissue thickness at rest, △C represents the maximum tissue thickness change amplitude due to breathing, r represents the respiratory rate, t represents the time, and represents the respiratory phase angle;

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

[0096]

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

[0098] ​​​The comparison verification calibration module is configured for comparing the monitoring data transmitted by the data analysis module with the normal numerical range in the database to determine whether an abnormality occurs, issuing a warning signal for abnormal data, and calibrating the precision of the optical fiber sensor;

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

[0100] The heart rate value monitored by the optical fiber sensor is compared 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 determined that the heart rate monitored by the optical fiber sensor is abnormal, a warning signal is issued for the abnormal information, the user or the management personnel is prompted to further check or confirm the working state of the optical fiber sensor, the precision of the optical fiber sensor is calibrated, and otherwise, it is indicated that the heart rate monitored by the optical fiber sensor is normal.

[0101] The temperature value monitored by the optical fiber sensor is compared 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 determined that the temperature monitored by the optical fiber sensor is abnormal, a warning signal is issued for the abnormal information, the user or the management personnel is prompted to further check or confirm the working state of the optical fiber sensor, the precision of the optical fiber sensor is calibrated, and otherwise, it is indicated that the temperature monitored by the optical fiber sensor is normal.

[0102] The respiratory rate value monitored by the optical fiber sensor is 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 determined that the respiratory rate monitored by the optical fiber sensor is abnormal, a warning signal is issued for the abnormal information, the user or the management personnel is prompted to further check or confirm the working state of the optical fiber sensor, the precision of the optical fiber sensor is calibrated, and otherwise, it is indicated that the respiratory rate monitored by the optical fiber sensor is normal.

[0103] The data comprehensive analysis module establishes a mathematical model to calculate the comprehensive monitoring index of the optical fiber sensor according to the data of the comparison verification calibration module and transmits the comprehensive monitoring index of the optical fiber sensor to the optical fiber sensor monitoring and evaluation module.

[0104] In this embodiment, it needs to be specifically explained that the mathematical model for calculating the comprehensive monitoring index of the optical fiber sensor is as follows:

[0105]

[0106] In the formula, CMI represents the comprehensive monitoring index of the 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, f BR ​The respiratory rate value monitored by the optical fiber sensor is represented by k, and other influence factors of the optical fiber sensor comprehensive monitoring index are represented by k.

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

[0108] In this embodiment, it is specifically pointed out that the specific manner of comparison and analysis of the optical fiber sensor monitoring evaluation module is as follows:

[0109] The optical fiber sensor comprehensive monitoring index is compared with the evaluation threshold, if the optical fiber sensor comprehensive monitoring index is greater than the evaluation threshold, it indicates that the optical fiber sensor monitoring is abnormal, an analysis report of the abnormal data is generated and sent to the corresponding management personnel for viewing and a warning signal is issued, otherwise it indicates that the optical fiber sensor monitoring is not abnormal.

[0110] The user interface module is configured to display the comparison and analysis result of the optical fiber sensor monitoring data and the database data, automatically perform fault diagnosis, and provide maintenance suggestions or trigger a fault processing process.

[0111] Finally, the above is only the preferred embodiment of the present application and is not used to limit the present application, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

[0112] The above is only the specific embodiment of the present application, but the protection scope of the present application is not limited to this, any modification, equivalent replacement, improvement, etc. made within the technical range disclosed by the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A monitoring system of a vital signs monitoring optical fiber sensor, characterized by, The application relates to a health monitoring system based on optical fiber sensor, which comprises the following modules: a database module for collecting the vital sign data of healthy people collected by the optical fiber sensor, including heart rate, body temperature, respiratory rate and blood oxygen saturation, and performing analysis, screening, classification and statistical analysis on the data to form normal value ranges under different age, gender, weight and height conditions and store the normal value ranges in the database; an optical fiber sensor signal acquisition module, which comprises 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 for acquiring physiological signal comprehensive parameters and transmitting the acquired comprehensive parameters to an optical fiber sensor signal processing module; the optical fiber sensor signal processing module is used for preprocessing the comprehensive parameters collected by the optical fiber sensor signal acquisition module and transmitting the preprocessed data to a data analysis module; the data analysis module comprises a heart rate monitoring analysis unit, a temperature monitoring analysis unit and a respiratory rate monitoring analysis unit, the data transmitted by the optical fiber sensor signal processing module is introduced into corresponding analysis unit mathematical models, the optical fiber sensor monitoring heart rate value, the optical fiber sensor monitoring temperature value and the optical fiber sensor monitoring respiratory rate value are calculated, and the calculation results are transmitted to a comparison verification and calibration module; the comparison verification and calibration module is used for comparing the monitoring data transmitted by the data analysis module with the normal value ranges in the database to judge whether an abnormality occurs, issuing an early warning signal for the abnormal data and performing precision calibration on the optical fiber sensor; a data comprehensive analysis module is used for establishing a mathematical model to calculate the comprehensive monitoring indexes of the optical fiber sensor according to the data of the comparison verification and calibration module and transmitting the comprehensive monitoring indexes to an optical fiber sensor monitoring evaluation module; the optical fiber sensor monitoring evaluation module is used for comparing the comprehensive monitoring indexes of the optical fiber sensor calculated by the data comprehensive analysis module with evaluation thresholds, obtaining a judgment result and transmitting the judgment result to a user interface module; the user interface module is used for displaying the comparison analysis results of the optical fiber sensor monitoring data and the database data, automatically performing fault diagnosis, providing maintenance suggestions or triggering a fault processing flow.

2. The monitoring system of a vital sign monitoring optical fiber sensor according to claim 1, characterized in that: The heart rate signal information acquisition unit is used for acquiring heart rate signal parameters, including heart rate light intensity, light intensity without blood absorption, blood concentration at rest and heart rate phase angle; the temperature signal information acquisition unit is used for acquiring temperature signal parameters, including initial temperature, FBG reflection wavelength under temperature T, initial reflection wavelength and temperature variation; and the respiratory signal information acquisition unit is used for acquiring respiratory signal parameters, including respiratory light intensity, light intensity without respiration, tissue thickness at rest and respiratory phase angle.

3. The monitoring system of a vital sign monitoring optical fiber sensor according to claim 1, characterized in that: The preprocessing mode of the physiological signal comprehensive parameters collected by the optical fiber sensor signal processing module is as follows: the optical signals received by the optical fiber sensor are converted into electric signals, and signal processing is performed, including amplification, low-pass filtering and analog-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 optical fiber sensor monitoring heart rate value are as follows: A1: the mathematical model of heart rate light intensity change is as follows: ， Wherein, I(t) represents the heart rate light intensity detected at time t, I0 represents the light intensity without blood absorption, a represents the absorption coefficient, C(t) represents the blood concentration change over time, e represents the natural constant; A2: The mathematical model of blood concentration change is as follows: ， wherein Co represents the blood concentration at rest, ΔC represents the maximum blood concentration change amplitude due to the heart beat, f represents the heart rate, and t represents the time, The heart rate phase angle is represented as A3: Using Fourier transform to analyze I(t), find the main frequency component f of the signal HR That is, the optical fiber sensor monitors the heart rate value, and the mathematical model is as follows: ， where f HR represents the heart rate value monitored by the optical fiber sensor, FFT represents the Fourier transform, argmax represents a function, and I(t) represents the light intensity of the detected heart rate 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 optical fiber sensor monitoring temperature value are as follows: B1: The mathematical model of FBG reflection wavelength change is as follows: ， B2: The calculation model of the optical fiber sensor monitoring temperature value is as follows: ， Wherein, T represents the temperature value monitored by the optical fiber sensor, T0 represents the initial temperature, λ B (T) represents the reflection wavelength of the FBG at temperature T, λ B represents the initial reflection wavelength, β represents the temperature sensitivity coefficient, ΔT 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 respiration rate value are as follows: C1: The mathematical model of respiration light intensity change is as follows: ， Wherein, LI(t) represents the respiration light intensity detected at time t, LI0 represents the light intensity without respiration, γ represents the absorption coefficient, H(t) represents the tissue thickness change over time, e represents the natural constant; C2: The mathematical model of tissue thickness change is as follows: ， where H0represents the thickness of the tissue at rest, ACrepresents the maximum amplitude of the change in the thickness of the tissue due to respiration, r represents the respiration rate, and t represents time, The respiration phase angle is represented as C3: using Fourier transform to analyze LI(t), find the main frequency component f of the signal BR The mathematical model is as follows: ， where f BR represents the optical fiber sensor monitoring the respiration rate value, FFT represents the Fourier transform, argmax represents a function, and LI(t) represents the detected respiration light intensity at time t.

7. The monitoring system of a vital sign monitoring optical fiber sensor according to claim 1, characterized by: The specific way of the contrast verification calibration module to compare the monitoring data transmitted by the data analysis module with the normal value range in the database is: Extract the optical fiber sensor monitoring heart rate value and compare it with the normal heart rate value range in the database. If the optical fiber sensor monitoring heart rate value exceeds the normal heart rate value range in the database, it is judged that the optical fiber sensor monitoring heart rate is abnormal, an early warning signal is sent for abnormal information, prompting users or management personnel to further check or confirm the working state of the optical fiber sensor, and the optical fiber sensor is calibrated for precision. Otherwise, it indicates that the optical fiber sensor monitoring heart rate is normal. Extract the optical fiber sensor monitoring temperature value and compare it with the normal temperature value range in the database. If the optical fiber sensor monitoring temperature value exceeds the normal temperature value range in the database, it is judged that the optical fiber sensor monitoring temperature is abnormal, an early warning signal is sent for abnormal information, prompting users or management personnel to further check or confirm the working state of the optical fiber sensor, and the optical fiber sensor is calibrated for precision. Otherwise, it indicates that the optical fiber sensor monitoring temperature is normal. Extract the optical fiber sensor monitoring respiration rate value and compare it with the normal respiration rate value range in the database. If the optical fiber sensor monitoring respiration rate value exceeds the normal respiration rate value range in the database, it is judged that the optical fiber sensor monitoring respiration rate is abnormal, an early warning signal is sent for abnormal information, prompting users or management personnel to further check or confirm the working state of the optical fiber sensor, and the optical fiber sensor is calibrated for precision. Otherwise, it indicates that the optical fiber sensor monitoring respiration rate is normal.

8. The monitoring system of a vital sign monitoring optical fiber sensor according to claim 1, characterized by: The calculation model of the optical fiber sensor comprehensive monitoring index is as follows: ， Wherein, CMI represents the comprehensive monitoring index of the 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, f BR represents the respiration rate value monitored by the optical fiber sensor, and k represents other influence factors of the comprehensive monitoring index 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 way of the contrast analysis of the optical fiber sensor monitoring evaluation module is: Compare the optical fiber sensor comprehensive monitoring index with the evaluation threshold value. If the optical fiber sensor comprehensive monitoring index is greater than the evaluation threshold value, it indicates that the optical fiber sensor monitoring is abnormal, an analysis report is generated for abnormal data and sent to the corresponding management personnel for viewing and sending an early warning signal. Otherwise, it indicates that the optical fiber sensor monitoring is normal.

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