CN117982135A - Physiological parameter monitoring system - Google Patents
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- 239000008103 glucose Substances 0.000 claims abstract description 161
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14546—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring analytes not otherwise provided for, e.g. ions, cytochromes
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Abstract
The invention discloses a physiological parameter monitoring system, which comprises a first detection device, a second detection device and a server, wherein the first detection device is suitable for being used by individuals and generates a plurality of first physiological parameter information related to users; the second detection device is suitable for medical profession and generates second physiological parameter information related to the user; the server is connected with the first detection device and the second detection device through a network, receives the first physiological parameter information and the second physiological parameter information from the first detection device and the second detection device respectively, and integrates all physiological parameter information on the server for data management analysis. The invention provides corresponding application software for a user to access analysis data through a terminal device; can provide statistical analysis and management of blood glucose values, and is convenient for users to track glycosylated hemoglobin values and blood glucose values regularly.
Description
Technical Field
The present invention relates to a physiological parameter monitoring system, and more particularly, to a physiological parameter monitoring system capable of integrating first physiological parameter information detected by a self-detecting device and second physiological parameter information detected by a medical professional detecting device.
Background
In addition to blood glucose management, glycosylated hemoglobin is also an important blood glucose control index for diabetics. While the existing blood glucose machine for self-blood glucose test (self-monitoring ofblood glucose) can allow diabetics to conveniently self-test blood glucose before or after meals, it is generally impossible to test glycosylated hemoglobin of diabetics who need to go to a medical institution and test glycosylated hemoglobin by using the existing blood glucose machine for medical profession, such as the existing Point-of-care detector (Point-of-CARE TESTING, POCT) or a large biochemical instrument; thus, it is quite inconvenient for diabetics who need to regularly track glycosylated hemoglobin.
Further, although a diabetic patient can self-detect a blood glucose level by using the blood glucose meter for self-blood glucose detection, it is not easy for the diabetic patient to record and observe changes in his or her blood glucose level without a management mechanism for the detected blood glucose level.
Disclosure of Invention
The invention aims to provide a physiological parameter monitoring system which is convenient for a user to track the glycosylated hemoglobin value and the blood sugar value regularly.
The physiological parameter monitoring system comprises a first detection device, a second detection device and a first server.
The first detection device is suitable for personal use and generates a plurality of first physiological parameters related to a user.
The second detection device is adapted for use by a medical professional or medical care and generates a second physiological parameter associated with the user.
The first server is connected with the first detection device and the second detection device through a network and receives the first physiological parameter and the second physiological parameter from the first detection device and the second detection device respectively, wherein the first physiological parameter and the second physiological parameter are related to the disease, health, nutrition intake, body building or movement state or condition of the user.
In the physiological parameter monitoring system of the present invention, each first physiological parameter is a blood glucose value, and the second physiological parameter is a glycosylated hemoglobin measurement value.
In the physiological parameter monitoring system of the invention, the first server estimates a glycosylated hemoglobin estimation value according to the blood glucose value, and outputs the glycosylated hemoglobin measurement value and the glycosylated hemoglobin estimation value.
The physiological parameter monitoring system of the present invention further comprises a second server, the second server is disposed in the medical institution, the second server performs a method for obtaining authorization from the first detection device, the method comprises the following steps: (a1) The second server sends an authorization request to the first server; (b1) The first server sends an authorization message to the first detection device; (c1) The second server receives the authorization message through an input related to a user of the first detection device; (d1) The second server verifies the authorization message to the first server; and (e 1) when the verification result of the step (d 1) is affirmative, the second server obtains authorization.
In the physiological parameter monitoring system of the present invention, in the step (b 1), the authorization message is an authorization code or an authorization notification.
In the physiological parameter monitoring system of the present invention, in the step (b 1), the first server transmits the authorization message through a network.
In the physiological parameter monitoring system of the present invention, the first server calculates an average value of the blood glucose values, and calculates the glycosylated hemoglobin estimation value according to the average value, wherein the glycosylated hemoglobin estimation value is positively related to the average value.
In the physiological parameter monitoring system of the present invention, the first server outputs an alert message when the difference between the glycosylated hemoglobin measurement value and the glycosylated hemoglobin estimation value is greater than a threshold value.
In the physiological parameter monitoring system of the present invention, the second detecting device further generates a blood glucose value related to the user and transmits the blood glucose value to the first server, and the first server further calculates at least one statistic according to a plurality of the blood glucose values received from the first detecting device and the second detecting device.
According to the physiological parameter monitoring system, the first server calculates an average value and a standard deviation of a plurality of blood glucose values received from the first detection device and the second detection device according to the plurality of blood glucose values, when the standard deviation is larger than a first multiple of the average value, the first server also outputs information for indicating excessive fluctuation, when the standard deviation is smaller than a second multiple of the average value, the first server also outputs information for indicating ideal fluctuation, and when the standard deviation is larger than the second multiple of the average value and smaller than the first multiple of the average value, the first server also outputs information for indicating larger fluctuation, and the first multiple is larger than the second multiple.
The physiological parameter monitoring system of the present invention provides a visual chart having a plurality of event labels with a horizontal axis for representing the blood glucose level, a vertical axis for representing the mean and the standard deviation values, a plurality of mean indicators indicating the mean value, and a plurality of standard deviation indicators indicating the standard deviation value, at least a portion of the standard deviation indicators being located within the mean indicators.
The first detection device comprises a detection unit and a mobile device, wherein the detection unit generates the first physiological parameter and transmits the first physiological parameter to the mobile device through the following steps: (a2) The mobile device transmits a local time to the detection unit so that the mobile device and the detection unit are synchronized in time; (b2) The detection unit transmits a data sequence formed by the first physiological parameter and a plurality of data corresponding to the first physiological parameter to the mobile device, wherein the data sequence at least comprises a measurement time; and (c 2) the mobile device storing the data sequence and a world standard time corresponding to the measurement time.
In the physiological parameter monitoring system of the present invention, in the step (c 2), the mobile device orders the first physiological parameter according to the world standard time.
The invention has the beneficial effects that: provide statistical analysis and management of blood glucose levels, and facilitate regular tracking of glycosylated hemoglobin levels and blood glucose levels by users.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram illustrating one embodiment of a physiological parameter monitoring system according to the present invention;
FIG. 2 is a flow chart illustrating a manner in which a blood glucose level and a corresponding data sequence are transmitted by a blood glucose test unit to a mobile device;
FIG. 3 is a display showing a plurality of sorted blood glucose levels;
FIG. 4 is a display showing a matched set of a plurality of blood glucose levels;
FIG. 5 is a flow chart illustrating steps of a medical institution obtaining authorization from the first detection device;
FIG. 6 is a diagram illustrating the display of blood glucose, glycosylated hemoglobin measurement, glycosylated hemoglobin estimation, etc. information on a mobile device;
FIG. 7 is a diagram illustrating a plurality of straight bar graphs showing blood glucose levels on the mobile device;
FIG. 8 is a diagram illustrating a message block for displaying blood glucose levels on the mobile device;
FIG. 9 is a diagram illustrating another message block for displaying blood glucose levels on the mobile device; and
FIG. 10 is a diagram of a display showing a plurality of sets of blood glucose levels after sorting.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the technical problem of effectively identifying the risks of discharge and bearing faults as far as possible, and completely accurately detect the discharge and bearing faults of the power equipment and an audible sound recognition algorithm of specific fault types, the invention fully considers the specific working environment of the hydroelectric generating set and the conditions of internal or external noise, more truly simulates the discharge and bearing faults in an experimental environment after analyzing the specific fault types of all the power equipment in detail, and approximates to real working conditions by overlapping the normal working sound, the discharge and bearing fault sound and various environmental noises of the power equipment, and utilizes STFT to extract features to construct a training data set and fuse the feature extraction of a network to improve the performance. By the risk identification method, informatization and intellectualization of the work such as inspection or maintenance of the water-electricity main equipment can be realized, and powerful support is provided for safe operation and power supply reliability of the electric power system.
Referring to fig. 1, an embodiment of the physiological parameter monitoring system 1 of the present invention includes a first detecting device 22, a first server 13, a second server 3 located at a hospital, at least one workstation terminal 14, and a second detecting device 12. The at least one workstation terminal 14 is connected to the second server 3 and may be connected to the internet via the second server 3, and a hospital management system (Health Information System) (not shown in fig. 1) located at the hospital may also be connected to the second server 3, which in one embodiment may comprise the hospital management system. In one embodiment, the physiological parameter monitoring system 1 optionally includes a server 6 and/or other authorized devices 7 of a security owner or health service provider, wherein the first detecting device 22 and the second detecting device 12 can be detecting devices for monitoring physiological parameters or detecting diseases, health, nutrition intake, fitness or exercise conditions, and the first server 13, the first detecting device 22, the workstation terminal 14 and the second detecting device 12 can all transmit data through a network and can run corresponding application software to collect analysis measurement data. The application software may be built in the device or may be obtained from outside, such as a cloud software downloaded via a network or accessed via a web page, but is not limited thereto.
A first application software (not shown in fig. 1) running on the first detecting device 22 can transmit measurement data to the first server 13, optionally perform more complex analysis operations, and transmit the measurement data back to the first application software, and the data is transmitted from the first server 13 to the second server 3 after being authorized by the user, so that a medical staff can access a second application software (not shown in fig. 1) provided by the second server 3 through the workstation terminal 14 for diagnosis according to the measurement data. In addition, the measurement data generated by the second detecting device 12 is transmitted to the second server 3 or the first server 13, and then also transmitted to the first application software and the second application software. In another embodiment, the data measured by the first and second detecting devices 22 and 12 is also transmitted to the hospital management system at the medical institution for storage as medical record data. On the other hand, when the medical staff operates the second application software to add a patient, an operator or other items, the updated items can be transmitted to a back-end management software (not shown in fig. 1) of the second detection device 12 through the second server 3, so that the second detection device 12 can set the operator or the measured object according to the doctor's advice or the work order.
As shown in fig. 1, the first detecting device 22 includes a blood sugar detecting unit 11 and a mobile device 2. In another embodiment (not shown in fig. 1), the first detecting device 22 may be a mobile device with a blood glucose measuring function, which may be implemented by a blood glucose measuring module built-in or externally connected to the mobile device, so that a separate blood glucose detecting unit is not required, wherein the blood glucose measuring module may be externally connected to the mobile device through a port, such as a USB, an audio port, bluetooth, infrared, etc. In another embodiment (not shown in fig. 1), the first detecting device 22 may be the blood glucose detecting unit 11 with a network transmission function, which may be implemented by a transmission module built-in or externally connected to the first detecting device 22, so that the blood glucose detecting unit 11 may include functions required for both a blood glucose machine and a mobile device.
The following describes an embodiment in which the first detecting device 22 includes the blood glucose detecting unit 11 and the mobile device 2, wherein the first application software is installed on the mobile device 2.
The blood glucose detecting unit 11 is a blood glucose machine for self blood glucose detection, and is used for allowing a user to measure his blood glucose value before meals, after meals, at bed, or at other times, and transmitting a data sequence formed by the blood glucose value and data corresponding to the blood glucose value to the mobile device 2 through wireless or wired network communication, such as WiFi, bluetooth or USB, wherein the data sequence may include: event label, record serial number, measurement time, world standard time (Coordinated Universal Time, UTC) corresponding to measurement time, measurement date, measurement time zone, blood glucose machine model, blood glucose machine serial number, user account number, whether it is a quality control liquid value, whether measurement temperature exceeds standard, data type (generated by the first detection device or the second detection device or manually input) and the like, wherein according to the data type, it can be judged from which medical institution the blood glucose value comes to, so as to avoid disputes in future personal data use, and the mobile device 2 can be a smart phone, a wearable device or a tablet computer and the like. In one embodiment, the user can operate the mobile device 2 to manually input the measured blood glucose level and the corresponding data directly into the mobile device 2. Wherein the first application software allows the user to delete the manually entered blood glucose value in order to prevent the manually entered blood glucose from having a possibility of an input error.
On the other hand, since the user may travel home or go public, when the blood glucose detecting unit 11 cannot automatically adjust according to the time zone in which the user is located, the user must manually adjust the blood glucose level, otherwise, the blood glucose level may suffer from trouble in different time zones according to the recording aspect of the measurement time, and the blood glucose analysis may be inaccurate. The physiological parameter monitoring system 1 provides the following solutions to the above-mentioned problems, please refer to fig. 2, first, in step S21, the blood glucose detecting unit 11 is connected to the mobile device 2 through a wireless or wired network. Next, in step S22, the mobile device 2 transmits the local time on the mobile device 2 to the blood glucose detecting unit 11 to set the clock of the blood glucose detecting unit 11, so that the time of the blood glucose detecting unit 11 can be kept synchronous with the mobile device 2, and thus the problem that the time of the blood glucose detecting unit 11 needs to be manually adjusted due to the movement of the user to different time zones can be avoided. Next, in step S23, the blood glucose detecting unit 11 transmits the blood glucose level and the data sequence to the first application software of the mobile device 2, wherein the measurement time in the data sequence is a local time for pairing according to different events, such as feeding, exercise, medication, etc. Next, in step S24, the first application software not only stores the data sequence including the measurement time, but also converts the measurement time into a UTC time for storage, so that the blood glucose levels can be sorted according to the UTC time, and the problem that the actual sequence cannot be presented when the blood glucose levels are sorted according to the measurement time (local time) is avoided, wherein the UTC time is only used for sorting the blood glucose levels, and can be selectively displayed on the first application software.
For example, referring to fig. 3, when the user or the medical staff member operates the mobile device 2 or the workstation terminal 14 to execute the first application software or the second application software, the plurality of blood glucose values displayed on the display screen of the mobile device 2 or the workstation terminal 14 are ordered according to the measured UTC time corresponding to each of the plurality of blood glucose values, and the latest blood glucose data in the measured UTC time is arranged downward in sequence, however, the display screen displays the measured time (local time) T corresponding to each of the plurality of blood glucose values, so that the user can conveniently view the blood glucose records, and therefore, the situation that the blood glucose value 31 with the earlier measured time (local time) is arranged before the blood glucose value 32 with the later measured time (local time) occurs. In one embodiment, when the blood glucose level is transmitted to the mobile device 2, the mobile device 2 estimates a measurement area where the blood glucose level is located according to the longitude and latitude of the mobile device, and displays a corresponding country on the blood glucose level, where the country may be displayed in a time zone, a national flag, a national name, or a combination thereof. On the other hand, referring to fig. 4, the first application software and the second application software can also pair the blood glucose levels before and after the occurrence of the events such as feeding, exercise, medication, etc. according to the measurement time (local time) T, so as to form a pairing combination 41, as shown in fig. 4, the pairing combination 41 is a pairing of two blood glucose levels before and after a meal.
In addition, in one embodiment, after the user operates the mobile device 2 to transmit the blood glucose value to the first server 13 via the internet, the medical institution may initiate a request to request the user to authorize the medical institution to use the measurement data transmitted to the first server 13 when all diagnostic requirements of the medical institution are met. Referring to fig. 5, first, in step S51, the medical staff member accesses the second application software provided by the second server 3 through the work terminal 14 to issue an authorization request to the first server 13. Next, in step S52, the first server 13 transmits the authorization code to the mobile device 2 through short message, but not limited thereto, other authorization methods are also possible. At step S53, the user may decide whether he/she is willing to authorize the medical institution to use personal measurement data. If the user is willing to authorize, the user provides an authorization code to the healthcare worker, who in turn operates the workstation terminal 14 to input the user-provided authorization code to the second application software provided by the second server 3 located at the medical institution, step S54. In step S55, the second server 3 located at the hospital verifies the authorization code received in step S54 with the first server 13. When the first server 13 notifies the second server 3 that the user is authorized to use the personal data and the test data in step S56, the medical institution can obtain the personal data and the test data in step S57, and if the user does not agree with the authorization in step S53, or the user is not authorized in step S56, the medical institution cannot obtain the user' S authorization and thus cannot use the personal measurement data of the user. In addition to transmitting authorization codes via short messages, in another embodiment, the first server 13 may send a notification message to the mobile device 2 for the user to choose whether to grant authorization. In one embodiment, the mobile device 2 may list the object to be authorized, and the user may select the object to grant authorization, wherein the object is not limited to the medical institution, but may be an insurance company, a drug administration, or other health service provider 6. By means of user authorization, the physiological parameter monitoring system 1 can effectively guarantee privacy of personal medical information of users. On the other hand, when the user wants to exit the service provided by the system, the first application software may be operated to transmit a deletion instruction to the first server 13 to delete all the data transmitted to the first server 13 by the user, and the first server 13 transmits a notification message to the second server 3 to notify the authorized hospital to delete the data transmitted to the second server 3 by the user.
The second detection device 12 is a blood glucose machine for use in medical profession, such as an existing point of care detectorGM700Pro and/or other biochemicals, adapted to be located at the medical facility, and to manage the functions of quality management, group management, analysis chart output, engagement with a hospital order system, etc. required by the second detection device 12 through the back-end management software, and is connectable to the second server 3 located at the medical facility. When the user goes to the hospital for visit, the glycosylated hemoglobin measurement value and the blood glucose value of the user are measured by the second detection device 12, and the glycosylated hemoglobin measurement value and the blood glucose value are transmitted to the first server 13 by the second server 3, wherein the authorization of the user is not required when the second detection device 12 transmits the measurement data to the first server 13 by the second server 3 because the user has authorized the measurement data of the individual used by the hospital. In another embodiment, the medical staff member manually inputs the glycosylated hemoglobin measurement value from the workstation terminal 14 of each department to the second application software, so as to transmit the glycosylated hemoglobin measurement value to the first server 13 through the second server 3 via the network. In one embodiment, the second detecting device 12 is directly connected to the first server 13 through a network, so that the data measured by the user at the medical institution through the second detecting device 12 can be directly uploaded to the first server 13 by the second detecting device 12, wherein the workstation terminal 14 can be a computing device such as a desktop computer, a notebook computer, a tablet computer, a smart phone, etc., but is not limited thereto.
The first server 13 or the second server 3 estimates a glycosylated hemoglobin estimation value (est. Hba1c) according to a plurality of blood glucose values measured by the user using the blood glucose detection unit 11 or the second detection device 12 in a time interval, and outputs the glycosylated hemoglobin measurement value and the glycosylated hemoglobin estimation value to the first application software of the mobile device 2 and the second application software provided by the second server 3; thus, in addition to the user's visual measurement of the glycosylated hemoglobin by the mobile device 2, the user's health status can be comprehensively evaluated by observing the glycosylated hemoglobin estimation and tracking the change of the glycosylated hemoglobin, and similarly, after the user's approval, the medical staff can also view and analyze all the values measured by the user through the blood glucose detection unit 11 and the second detection device 12 by the workstation terminal 14. In the above embodiments, if the blood glucose control is used to control the blood glucose, the glycosylated hemoglobin is an important key indicator, and in other embodiments, different indicator substances can be replaced or added to comprehensively evaluate the health condition of the user.
In this embodiment, the first server 13 calculates an average value of the blood glucose levels in the time interval, and calculates the glycosylated hemoglobin estimation value according to the average value, that is:
glycosylated hemoglobin estimation = (average blood glucose + first parameter)/second parameter,
Preferably, the first parameter is a value between 43 and 48, and the second parameter is a value between 25 and 30.
For example, referring to fig. 6, fig. 6 illustrates information such as the user operating the mobile device 2 or the medical staff operating the workstation terminal 14, the glycosylated hemoglobin measurement value seen at the mobile device 2 or the workstation terminal 14 after running the corresponding application software, the blood glucose value measured by the blood glucose detection unit 11 or the second detection device 12, and the glycosylated hemoglobin estimation value (est.hba1c). Wherein, the user visits the medical institution every three months and respectively measures the glycosylated hemoglobin measurement value to be 6.6% and 6.3% by using the second detection apparatus 12 at 2016/1/1 and 2016/4/1, when the medical staff clicks the column of one glycosylated hemoglobin measurement value, the application software presents the self-measured blood glucose value of the measurement time of the glycosylated hemoglobin measurement value in a section forward, for example, all blood glucose values in 90 days, for example, when the column of the glycosylated hemoglobin measurement value measured by 2016/1/1 is clicked, the right blood glucose value list displays all blood glucose values in 2016/1/1 forward for the medical staff to be used as an auxiliary reference tool for diagnosing the glycosylated hemoglobin measurement value. The application software takes seven days as the time interval, and calculates a corresponding glycosylated hemoglobin estimation value according to all blood glucose values measured by the blood glucose detection unit 11 or the second detection apparatus 12 in the seven days every seven days.
As shown in fig. 6, the user measures 15 times of blood glucose levels by using the blood glucose measuring unit 11 or the second measuring device 12 in total during the periods 2016/4/1-2016/4/7, and measures 32 times of blood glucose levels by using the blood glucose measuring unit 11 or the second measuring device 12 in total during the periods 2016/4/8-2016/4/14; the first server 13 estimates a glycosylated hemoglobin estimation value of 6.1% according to the 15 blood glucose values, and estimates a glycosylated hemoglobin estimation value of 5.7% according to the 32 blood glucose values. As can be seen from the above, although the user measures the glycosylated hemoglobin measurement value once every three months at the medical institution, the user can conveniently track the change of the glycosylated hemoglobin by observing the weekly glycosylated hemoglobin estimation value through the physiological parameter monitoring system 1 of the present invention, and when the difference between the glycosylated hemoglobin estimation value and the glycosylated hemoglobin measurement value exceeds a threshold value, the first application software or the second application software can also output an alert message, and when the user finds the abnormal change of the glycosylated hemoglobin, the user can seek medical attention in real time, wherein the threshold value can be a value between 1.5% and 3%; even if there is no abnormal change in glycosylated hemoglobin, the glycosylated hemoglobin estimation can be referred to by doctors in medical care. On the other hand, in one embodiment, the first detecting device 22 uses the blood glucose level measured by the blood glucose detecting unit 11 to estimate the glycosylated hemoglobin estimation value through the first application software on the mobile device 2, and the first server 13 is not required to perform calculation to track the change of the glycosylated hemoglobin. The time period is not limited to seven days, but may be 14 days, 30 days, or other days.
In addition to the estimation and management of glycosylated hemoglobin, the physiological parameter monitoring system 1 of the present invention further provides statistical analysis and management of blood glucose values. In detail, the first server 13 calculates an average value and a standard deviation of the blood glucose level in the time interval based on the blood glucose level received from the blood glucose level detecting unit 11 or the second detecting device 12 in the time interval. When the standard deviation is greater than a first multiple of the average value, the first server 13 also outputs information indicating "excessive fluctuation"; when the standard deviation is smaller than a second multiple of the average value, the first server 13 also outputs information indicating "ideal fluctuation"; when the standard deviation is greater than the second multiple of the average value and less than the first multiple of the average value, the first server 13 also outputs information indicating "fluctuation is large"; wherein the first multiple is greater than the second multiple and is preferably a number between 0.2 and 1 and a number between 0.1 and 0.7, respectively, or is preferably a number between 0.3 and 0.6 and a number between 0.2 and 0.4, respectively.
For example, referring to fig. 7 to 9, it is shown that the user operates the mobile device 2, the workstation terminal 14 operated by the medical staff, or the authorized device 7 in the physiological parameter monitoring system 1 is connected to the first server 13, and after running the corresponding application software, the relevant management information of the blood glucose level displayed on the screen of the terminal or device; in particular, the statistical analysis results are shown in the straight bar chart 4 and the message box 5 containing the transverse bar chart 51.
For example, as shown in FIG. 7, the bar graph corresponding to the blood glucose level measured by the user after breakfast in the period 2016/4/23-2016/4/29 shows that the average blood glucose level is 197mg/dL and the standard deviation is 51.6, wherein the height of the bar graph corresponds to the average blood glucose level and the height of the color filled portion of the bar graph corresponds to the standard deviation; in particular, since 51.6 is smaller than the second multiple of 197, 51.6 is represented by the height of the green part (represented by the dot diagram) in the bar chart to indicate that fluctuation of the blood glucose level is ideal. The bar graph corresponding to blood glucose values measured by the user after lunch in the period 2016/4/16-2016/4/22 shows that the average blood glucose value is 193mg/dL and the standard deviation is 80.5; since 80.5 is greater than the second multiple of 193 and less than the first multiple of 193, 80.5 is represented by the height of the orange portion (represented by the L-shaped plot) in the bar chart to indicate that the fluctuation of the blood glucose level is large. In addition, although not shown in fig. 7, if the fluctuation of the blood glucose level is too large, the standard deviation larger than the first multiple of the average value is represented by red in the bar graph; the green, orange and red are used to represent ideal fluctuation of blood glucose level, large fluctuation of blood glucose level and excessive fluctuation of blood glucose level, but the present invention is not limited thereto, and the color, shape or design may be selected so as to distinguish the three fluctuation conditions, and the calculation may be performed by adjusting the period of calculating the fluctuation conditions according to the number of weeks/months/year/or other days.
Referring to fig. 8 and 9, when the user operates the application software corresponding to each of the workstation terminals 14 through the mobile device 2 or the medical staff member and clicks the straight bar chart 4, the application software further displays a message block 5 containing the information of the blood glucose level, the fluctuation condition, the horizontal bar chart 51, etc. Specifically, the two ends and the interior of the horizontal bar graph 51 show the lowest value, the highest value and the average value of the blood glucose values respectively; wherein the red portion (represented by a + type graph) of the horizontal bar graph 51 represents the ratio range of the number of strokes having an excessively high blood glucose value to all blood glucose strokes, the gray portion represents the ratio range of the number of strokes having a normal blood glucose value to all blood glucose strokes, and the blue portion (represented by a delta type graph) represents the ratio range of the number of strokes having an excessively low blood glucose value to all blood glucose strokes.
For example, as shown in fig. 8, when the user operates the application software corresponding to each of the workstation terminal 14 and clicks the straight bar in fig. 4a through the mobile device 2 or the medical staff, the displayed message block 5 illustrates that the blood glucose levels after breakfast during periods 2016/4/23-2016/4/29 are seven in total, the lowest, highest and average of the blood glucose levels are 111, 272 and 197mg/dL, respectively, and although the fluctuation of the blood glucose levels is ideal, there are cases where a part of the blood glucose levels is excessively high, indicating that it is ideal that the fluctuation is excessively high in most of the blood glucose levels. As shown in fig. 9, when the user or the medical staff clicks the straight bar chart 4b, the displayed message block 5 illustrates that the blood glucose level after lunch during the period 2016/4/23-2016/4/29 is 3 times, the minimum, maximum and average values of the blood glucose levels are 89, 114 and 102mg/dL respectively, and although the fluctuation of the blood glucose level is ideal, there are some cases that the blood glucose level is too low, the fluctuation is ideal under the condition that most blood glucose levels are too low, so that the physiological parameter monitoring system 1 can skip out of the message block 5 to display the blood glucose fluctuation condition and other statistical analysis results, thereby providing the user with simple and rapid monitoring of blood glucose trend and early prevention of disease deterioration.
Referring to fig. 10, which shows the blood glucose management information accumulated by a user after using the physiological parameter monitoring system 1, through the use of the physiological parameter monitoring system of the present invention, the physician can conveniently identify the blood glucose management condition of the patient through the use of the user measurement information analysis technology and the visualization chart, and further can assist the physician to perform effective diagnosis, as shown in fig. 10, wherein the older to newer data are displayed from bottom to top, and it can be observed that after the user uses the physiological parameter monitoring system to perform diagnosis, the displayed straight-line charts 4c and 4d gradually progress from red (shown as a + type chart) indicating that the blood glucose value "fluctuates excessively" over time toward green (shown as a dot chart) indicating that the blood glucose value "fluctuates ideally", so that the physiological parameter monitoring system provides an effective method for assisting the user to control the blood glucose by presenting the blood glucose value in a pairing combination manner and comparing the glycosylated hemoglobin measurement value with the estimated value in parallel as a reference for diagnosis, and presenting the chart of the average value calculated by the blood glucose value and the standard deviation.
In summary, in the physiological parameter monitoring system of the present invention, the blood glucose detection unit is used to generate the blood glucose value related to the user, the second detection device is used to generate the glycosylated hemoglobin measurement value and the blood glucose value related to the user, the first server or the second server estimates the glycosylated hemoglobin estimation value according to the blood glucose value, and outputs the glycosylated hemoglobin measurement value, the glycosylated hemoglobin estimation value and the blood glucose value to the mobile device, and further provides statistical analysis and management of the blood glucose value, so that the user can conveniently track the change of the glycosylated hemoglobin value and the blood glucose value regularly, and the purpose of the present invention can be achieved.
The foregoing is merely illustrative of the present invention and is not intended to limit the scope of the invention, which is defined by the appended claims and their equivalents.
Claims (9)
1. A physiological parameter monitoring system, comprising:
a first detection device, which is suitable for personal use and generates a plurality of first physiological parameters related to a user;
A second detection device adapted for use by a medical professional and generating a second physiological parameter associated with the user;
The first server is connected with the first detection device and the second detection device through a network and receives the first physiological parameter and the second physiological parameter from the first detection device and the second detection device respectively, wherein the first physiological parameter and the second physiological parameter are related to the disease, health, nutrition intake, body building or movement state or condition of a user.
2. The physiological parameter monitoring system of claim 1, wherein: each first physiological parameter is a blood glucose value, and the second physiological parameter is a glycosylated hemoglobin measurement.
3. The physiological parameter monitoring system of claim 2, wherein: the first server estimates a glycosylated hemoglobin estimation value according to the blood glucose value, and outputs the glycosylated hemoglobin measurement value and the glycosylated hemoglobin estimation value.
4. The physiological parameter monitoring system of claim 1, wherein: the medical institution further comprises a second server, wherein the second server is arranged in the medical institution and is used for the first detection device to obtain authorization.
5. A physiological parameter monitoring system according to claim 3, wherein: the first server calculates an average value of the blood glucose values, and calculates a glycosylated hemoglobin estimation value according to the average value, wherein the glycosylated hemoglobin estimation value is positively related to the average value.
6. A physiological parameter monitoring system according to claim 3, wherein: when the difference between the glycosylated hemoglobin measurement value and the glycosylated hemoglobin estimation value is greater than a threshold value, the first server outputs an alert message.
7. The physiological parameter monitoring system of claim 2, wherein: the second detecting device also generates a blood sugar value related to the user and transmits the blood sugar value to the first server, and the first server also calculates at least one statistic according to a plurality of the blood sugar values received from the first detecting device and the second detecting device.
8. The physiological parameter monitoring system of claim 7, wherein:
The first server calculates an average value and a standard deviation of a plurality of blood glucose values according to a plurality of blood glucose values received from the first detecting device and the second detecting device, and when the standard deviation is larger than a first multiple of the average value, the first server also outputs information for indicating excessive fluctuation.
9. The physiological parameter monitoring system of claim 1, wherein: the first detecting device comprises a detecting unit and a moving device,
The mobile device is used for transmitting the local time to the detection unit, receiving the data sequence transmitted by the detection unit, and sequencing the first physiological parameters according to the world standard time;
the detection unit is time-synchronized with the mobile device, and is used for forming a plurality of data sequences corresponding to the generated first physiological parameter and the current first physiological parameter into a data sequence and transmitting the data sequence to the mobile device, wherein the data sequence at least comprises measurement time.
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