CN117542530B - Health monitoring data monitoring method and monitoring system for postpartum patients - Google Patents
Health monitoring data monitoring method and monitoring system for postpartum patients Download PDFInfo
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The invention relates to a health monitoring data monitoring method and a health monitoring system for postpartum patients, which are used for collecting health data and recovery indexes of the patients through ward terminals and medical care terminals, so that unified collection, processing and display of the data are realized. The ward terminal is equipped with various sensors, an image acquisition module, a body fluid detection module, a physiological parameter monitor, a wearable device for tracking action parameters and user interaction equipment, and is used for comprehensively monitoring the physical condition of a patient. Through unique image processing technology and body fluid spectrum analysis, the wound healing and body fluid status of a patient are accurately obtained. The system adopts patient ID binding to ensure accurate correspondence of data. The data is automatically stored in the database, and the data processor analyzes and generates a recovery index, and the recovery index is displayed on the medical care terminal in real time, so that medical staff can conveniently check and retrieve various health data at any time. The system provides user questionnaire input to further enrich the health data sources. The whole scheme realizes the omnibearing and refined monitoring of the health condition of the postpartum patient.
Description
Technical Field
The invention relates to the field of information collection and processing of medical equipment, in particular to a health monitoring data monitoring method and a health monitoring system for postpartum patients.
Background
With the rapid development of medical science and technology and the increase of medical service demands, health monitoring of post-partum patients is becoming more and more important. The postpartum recovery period is a critical phase of female physiological and psychological transition during which the health directly affects the well-being of the mother and neonate.
Traditional postpartum health monitoring mainly relies on regular clinical examination and observation records of nurses, and the problems of discontinuous data acquisition, poor timeliness, strong subjectivity and the like exist in the mode. Furthermore, early discovery and intervention for postpartum complications or recovery abnormalities may be delayed due to the lack of comprehensive, real-time health data monitoring.
Currently, digital medical and internet of things technologies offer new possibilities for improving post-partum health monitoring. For example, wearable devices and smart medical devices may collect physiological parameters and behavioral data of a patient continuously, in real-time. However, existing solutions tend to be single-function, fail to cover all the various health indicators of post-partum patients, and integration, analysis and presentation of data remains a challenge.
Therefore, there is a need for a comprehensive health monitoring data monitoring system, which can collect and analyze various health data of a postpartum patient comprehensively, accurately and in real time, and provide a refined recovery index so as to support medical staff to make more accurate and timely diagnosis and treatment decisions and improve the quality and efficiency of postpartum care.
Disclosure of Invention
In order to solve the problems, the invention provides a health monitoring data monitoring system for postpartum patients, which comprises a server, a medical care terminal, a ward terminal, a data processor and a database;
the ward terminals and the medical care terminals are arranged in a plurality of ward terminals, and the ward terminals are arranged in the ward and used for collecting health data of postpartum patients; the medical care terminal is arranged in a doctor office and a nurse station and is used for displaying health data and recovery indexes of postpartum patients;
the medical care terminal and the ward terminal are both connected with a server through signals, and the server is connected with a data processor and a database; the ward terminal collects health data of a patient and sends the collected health data to the server;
the server stores the health data in a database, and meanwhile, the server sends the health data to a data processor for analysis and processing to obtain a recovery index of the postpartum patient; the server sends the recovery indexes to the medical care terminal.
Each server is correspondingly connected with a plurality of medical care terminals and ward terminals, so that unified collection, unified processing and unified display of data are realized, and various health data and recovery indexes are called by the medical care terminals at any time.
The ward terminal is connected with the image acquisition part, the spectrum acquisition part, the physiological parameter acquisition part, the action parameter acquisition part and the user input part;
the image acquisition part is a movable image acquisition module arranged beside the sickbed, and the movable image acquisition module is a camera, a smart phone or a camera; the movable image acquisition module is provided with a light supplementing lamp and is used for acquiring visible light images of the suture position of the patient;
the spectrum acquisition part is a body fluid detection module arranged in the ward, and the body fluid detection module comprises a collecting cup, a transfer pump, a detection pool, a detection probe seat, a light emitter, a light receiver and a detection controller;
the transfer pump is connected with the collecting cup and the detection pool through a pipeline, and quantitatively transfers the body fluid in the collecting cup into the detection pool through the pipeline; the detection pool is arranged in a detection probe seat, and a light emitter and a light receiver which are oppositely arranged are arranged in the detection probe seat; light emitted by the light emitter passes through the detection pool and then is collected by the light receiver; the detection controller is connected with the light emitter and the light receiver and is used for controlling the light emitter to emit detection light and acquiring light intensity data acquired by the light collector.
The physiological parameter acquisition part is a monitor arranged in a ward, and the monitor is provided with blood pressure detection, blood oxygen detection, body temperature detection and electrocardiograph monitoring functions and is used for acquiring blood pressure, blood oxygen, body temperature and electrocardiograph monitoring data of a patient at regular time;
the action parameter acquisition part is a wearable intelligent device bound with the patient ID, and the wearable intelligent device is provided with a step number detection function, a motion quantity detection function and a heart rate detection function; for real-time acquisition of the patient's steps of movement, exercise consumption and heart rate.
The user input part is an interactive intelligent device arranged in the ward, the interactive intelligent device is provided with an interactive interface, and the patient fills out the questionnaire through the interactive interface at regular intervals.
In addition, the invention provides a health monitoring data monitoring method for a postpartum patient, which utilizes a health monitoring data monitoring system for the postpartum patient and comprises the following steps:
step A: constructing a data interaction system
The medical care system comprises a configuration server, a medical care terminal, a ward terminal, a data processor and a database; the medical care terminal and the ward terminal are configured to be connected with a server through signals, and the server is connected with a data processor and a database;
the ward terminal is connected with the image acquisition part, the spectrum acquisition part, the physiological parameter acquisition part, the action parameter acquisition part and the user input part;
and (B) step (B): configuring patient ID
Setting a unique ID number for each patient, and binding equipment used in a patient ward with the ID number of the patient, so that the patient room terminal acquires the health data of the patient, including the ID number of the patient;
step C: data acquisition
The image acquisition part is a movable image acquisition module arranged beside the sickbed, and the movable image acquisition module periodically reminds a patient to use the movable image acquisition module to turn on the light supplementing lamp and shoot visible light images at the stitching position of the patient; the image acquisition unit transmits the captured image to the server;
when the body fluid detection module detects that body fluid enters, the transfer pump quantitatively transfers the body fluid in the collecting cup into the detection pool through the pipeline; the detection controller controls the light emitted by the light emitter to pass through the detection pool and then be collected by the light receiver; the detection controller acquires light intensity data acquired by the light collector; the body fluid detection module sends the collected group of light intensity data to the server;
the physiological parameter acquisition part is a monitor arranged in a ward and is used for acquiring blood pressure, blood oxygen, body temperature and electrocardiographic monitoring data of a patient at regular time; the monitor regularly transmits the blood pressure, blood oxygen, body temperature and electrocardiograph monitoring data of the patient to the server;
the action parameter acquisition part is a wearable intelligent device bound with the ID of the patient, and the wearable intelligent device acquires the action steps, the exercise consumption and the heart rate of the patient in real time; the wearable intelligent device sends the action steps, the exercise consumption and the heart rate of the patient to the server in real time;
the user input part is an interactive intelligent device arranged in the ward, the patient fills out the questionnaire through the interactive interface at regular intervals, and the user input part sends the filling result of the questionnaire to the server;
step D: data storage and analysis
All data acquired by the server in the step C are health data of the patient;
the server stores the health data in a database, and meanwhile, the server sends the health data to a data processor for analysis and processing to obtain a recovery index of the postpartum patient; the server sends various recovery indexes to the medical care terminal;
step E: data presentation and query
Responding to the display command of the medical terminal, and displaying the recovery index of the corresponding patient in each ward terminal on the medical terminal in real time;
and responding to the inquiry command of the medical terminal, and displaying the health data of the corresponding patient in the inquired ward terminal on the medical terminal.
In the step D, the server sends the health data to the data processor for analysis and processing, and the recovery indexes of the postpartum patient are specifically:
d-1, the server sends visible light images of the suture position of the patient to the data processor; the data processor processes the visible light image of the patient suture as follows:
dividing the image into channels, and extracting the divided images of each RGB channel; independently processing the images of the B channel and the R channel, graying the visible light image, and setting a proper binarization threshold value to perform binarization processing, so that a stitching region is rapidly extracted;
determining the central line of the stitching region, requiring the central line of the stitching region to coincide with the knife edge, uniformly determining M value points on the central line, wherein the intervals of the M value points are equal, extracting the change of the pixel values of the B channel and the R channel along the direction which passes through the value points and is perpendicular to the central line, and respectively obtaining M pixel value change curves for the B channel and the R channel; superposing M pixel value change curves in each channel to obtain a B curve corresponding to the B channel and an R curve corresponding to the R channel; calculating the half-width of the B curve and the half-width of the R curve, and comparing the half-widths of the B curve and the R curve with respective thresholds; if the half-width of the curve B exceeds the threshold value, the knife edge is infected, and if the half-width of the curve R exceeds the threshold value, the knife edge is red and swollen;
d-2, the server sends a group of light intensity data to the data processor, wherein the group of light intensity data comprises a plurality of wave bands, and each wave band corresponds to a respective body fluid component content index; the body fluid component content index comprises red blood cell content and protein content;
substituting the light intensity data of each wave band into the respective quantitative curve by the data processor so as to obtain the content of red blood cells and the protein content in the body fluid;
the data processor calculates the body fluid health index of the patient according to the content of the red blood cells and the protein content, and the body fluid health index H is as follows:
；
wherein X represents the red blood cell content, Y represents the protein content, X 0 Representing a preset red blood cell content threshold value, Y 0 Representing a preset protein content threshold, k 1 、k 2 A coefficient greater than zero; smaller H indicates healthier body fluids;
d-3, the monitor regularly transmits the blood pressure, blood oxygen, body temperature and electrocardiograph monitoring data of the patient to the server; the data processor calculates the physiological health index S of the patient according to the blood pressure, blood oxygen, body temperature and electrocardiographic monitoring data of the patient:
；
wherein P represents the percentage of the blood pressure and the pressure deviating from the normal value range, Q represents the percentage of the blood oxygen below 100, T represents the percentage of the body temperature exceeding the normal value range, and U represents the standard deviation of the heartbeat interval time obtained by electrocardiographic monitoring; k (k) 3 、k 4 、k 5 、k 6 For coefficients greater than zero, a smaller S indicates a healthier;
step D-4, the wearable intelligent device sends the action steps, the exercise consumption and the heart rate of the patient to a server in real time;
the data processor calculates a patient movement index according to the movement steps, the movement consumption and the heart rate, wherein the movement index D is as follows:
；
wherein B represents the number of steps of the action, C represents the amount of calories burned by the action, E represents the percentage of heart rate deviating from the normal range of values, B 0 Representing a preset action step number threshold value, C 0 A threshold value, k, representing the amount of calories consumed by the preset action 7 、k 8 、k 9 A coefficient greater than zero;
d-5, the user input part sends the filling result of the questionnaire to the server; the data processor scores the questionnaire according to the filling result, and obtains a score E, wherein the larger E indicates the healthier E;
the server sends the incision infection, incision redness and swelling, body fluid health index H, physiological health index S, action index D and score E to the medical care terminal.
The data processor also performs the following processing:
if the incision is not infected and the incision is not red and swollen, analyzing whether the continuous multi-day action index D is gradually increased, and if the continuous multi-day action index D is not gradually increased, displaying a prompt at the medical care terminal, wherein the prompt is applied to the increase of the activity;
if the incision is infected or red, the following analysis is performed:
analyzing the body fluid health index H, the physiological health index S and the action index D for a plurality of consecutive days; analyzing whether the body fluid health index H and the physiological health index S gradually decrease and whether the action index D gradually increases for a plurality of continuous days;
if the body fluid health index H is not gradually reduced, displaying a prompt at the medical care terminal, and performing endoscopic examination on the corresponding patient;
if the physiological health index S is not gradually reduced, displaying a prompt at the medical care terminal, wherein the prompt corresponds to the inflammation of the patient;
if the action index D is gradually increased, a prompt is displayed on the medical care terminal, and the corresponding patient has excessive action.
The body fluid is urine;
the content of the questionnaire is a problem of subjective perception related to physical recovery of a patient, which varies according to the post-partum recovery time of the patient.
The light emitted by the light emitter is infrared light with adjustable wavelength.
The beneficial effects of the invention are as follows:
the health monitoring data monitoring system of the invention collects health data and recovery indexes of a patient through the ward terminal and the medical care terminal aiming at postpartum patients, and realizes unified collection, processing and display of the data.
The ward terminal is equipped with various sensors, an image acquisition module, a body fluid detection module, a physiological parameter monitor, a wearable device for tracking action parameters and user interaction equipment, and is used for comprehensively monitoring the physical condition of a patient. Through unique image processing technology and body fluid spectrum analysis, the wound healing and body fluid status of a patient are accurately obtained. The system adopts patient ID binding to ensure accurate correspondence of data. The data is automatically stored in the database, and the data processor analyzes and generates a recovery index, and the recovery index is displayed on the medical care terminal in real time, so that medical care personnel can conveniently check and retrieve various health data at any time, and the diagnosis and treatment efficiency and the care quality are improved.
The system provides user questionnaire input to further enrich the health data sources. The whole scheme realizes the omnibearing and refined monitoring of the health condition of the postpartum patient.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a schematic diagram of the overall architecture of the present invention;
FIG. 2 is a schematic diagram of the body fluid testing structure of the present invention.
Detailed Description
Example 1:
referring to fig. 1 and 2, the present invention provides a health monitoring data monitoring system for postpartum patients, comprising a server, a medical care terminal, a ward terminal, a data processor and a database;
the ward terminals and the medical care terminals are arranged in a plurality of ward terminals, and the ward terminals are arranged in the ward and used for collecting health data of postpartum patients; the medical care terminal is arranged in a doctor office and a nurse station and is used for displaying health data and recovery indexes of postpartum patients;
the medical care terminal and the ward terminal are both connected with a server through signals, and the server is connected with a data processor and a database; the ward terminal collects health data of a patient and sends the collected health data to the server;
the server stores the health data in a database, and meanwhile, the server sends the health data to a data processor for analysis and processing to obtain a recovery index of the postpartum patient; the server sends the recovery indexes to the medical care terminal.
Each server is correspondingly connected with a plurality of medical care terminals and ward terminals, so that unified collection, unified processing and unified display of data are realized, and various health data and recovery indexes are called by the medical care terminals at any time.
The ward terminal is connected with the image acquisition part, the spectrum acquisition part, the physiological parameter acquisition part, the action parameter acquisition part and the user input part;
the image acquisition part is a movable image acquisition module arranged beside the sickbed, and the movable image acquisition module is a camera, a smart phone or a camera; the movable image acquisition module is provided with a light supplementing lamp and is used for acquiring visible light images of the suture position of the patient;
as shown in fig. 2, the spectrum acquisition part is a body fluid detection module arranged in a ward, and the body fluid detection module comprises a collecting cup 1, a transfer pump 2, a detection cell 3, a detection probe seat 4, a light emitter 5, a light receiver 6 and a detection controller 7;
the transfer pump 2 is connected with the collecting cup 1 and the detection pool 3 through a pipeline, and the transfer pump 2 quantitatively transfers the body fluid in the collecting cup 1 into the detection pool 3 through the pipeline; the detection pool 3 is arranged in the detection probe seat 4, and a light emitter 5 and a light receiver 6 which are oppositely arranged are arranged in the detection probe seat 4; light emitted by the light emitter 5 passes through the detection cell 3 and is collected by the light receiver 6; the detection controller 7 is connected with the light emitter 5 and the light receiver 6, and is used for controlling the light emitter 5 to emit detection light and acquiring light intensity data acquired by the light collector.
The physiological parameter acquisition part is a monitor arranged in a ward, and the monitor is provided with blood pressure detection, blood oxygen detection, body temperature detection and electrocardiograph monitoring functions and is used for acquiring blood pressure, blood oxygen, body temperature and electrocardiograph monitoring data of a patient at regular time;
the action parameter acquisition part is a wearable intelligent device bound with the patient ID, and the wearable intelligent device is provided with a step number detection function, a motion quantity detection function and a heart rate detection function; for real-time acquisition of the patient's steps of movement, exercise consumption and heart rate.
The user input part is an interactive intelligent device arranged in the ward, the interactive intelligent device is provided with an interactive interface, and the patient fills out the questionnaire through the interactive interface at regular intervals.
Example 2:
a health monitoring data monitoring method for postpartum patients utilizes a health monitoring data monitoring system for postpartum patients, which comprises the following steps:
step A: constructing a data interaction system
The medical care system comprises a configuration server, a medical care terminal, a ward terminal, a data processor and a database; the medical care terminal and the ward terminal are configured to be connected with a server through signals, and the server is connected with a data processor and a database;
the ward terminal is connected with the image acquisition part, the spectrum acquisition part, the physiological parameter acquisition part, the action parameter acquisition part and the user input part;
and (B) step (B): configuring patient ID
Setting a unique ID number for each patient, and binding equipment used in a patient ward with the ID number of the patient, so that the patient room terminal acquires the health data of the patient, including the ID number of the patient;
step C: data acquisition
The image acquisition part is a movable image acquisition module arranged beside the sickbed, and the movable image acquisition module periodically reminds a patient to use the movable image acquisition module to turn on the light supplementing lamp and shoot visible light images at the stitching position of the patient; the image acquisition unit transmits the captured image to the server;
when the body fluid detection module detects that body fluid enters, the transfer pump 2 quantitatively transfers the body fluid in the collecting cup 1 into the detection tank 3 through a pipeline; the detection controller 7 controls the light emitted by the light emitter 5 to pass through the detection cell 3 and then be collected by the light receiver 6; the detection controller 7 acquires light intensity data acquired by the light collector; the body fluid detection module sends the collected group of light intensity data to the server;
the physiological parameter acquisition part is a monitor arranged in a ward and is used for acquiring blood pressure, blood oxygen, body temperature and electrocardiographic monitoring data of a patient at regular time; the monitor regularly transmits the blood pressure, blood oxygen, body temperature and electrocardiograph monitoring data of the patient to the server;
the action parameter acquisition part is a wearable intelligent device bound with the ID of the patient, and the wearable intelligent device acquires the action steps, the exercise consumption and the heart rate of the patient in real time; the wearable intelligent device sends the action steps, the exercise consumption and the heart rate of the patient to the server in real time;
the user input part is an interactive intelligent device arranged in the ward, the patient fills out the questionnaire through the interactive interface at regular intervals, and the user input part sends the filling result of the questionnaire to the server;
step D: data storage and analysis
All data acquired by the server in the step C are health data of the patient;
the server stores the health data in a database, and meanwhile, the server sends the health data to a data processor for analysis and processing to obtain a recovery index of the postpartum patient; the server sends various recovery indexes to the medical care terminal;
step E: data presentation and query
Responding to the display command of the medical terminal, and displaying the recovery index of the corresponding patient in each ward terminal on the medical terminal in real time;
and responding to the inquiry command of the medical terminal, and displaying the health data of the corresponding patient in the inquired ward terminal on the medical terminal.
In the step D, the server sends the health data to the data processor for analysis and processing, and the recovery indexes of the postpartum patient are specifically:
d-1, the server sends visible light images of the suture position of the patient to the data processor; the data processor processes the visible light image of the patient suture as follows:
dividing the image into channels, and extracting the divided images of each RGB channel; independently processing the images of the B channel and the R channel, graying the visible light image, and setting a proper binarization threshold value to perform binarization processing, so that a stitching region is rapidly extracted;
determining the central line of the stitching region, requiring the central line of the stitching region to coincide with the knife edge, uniformly determining M value points on the central line, wherein the intervals of the M value points are equal, extracting the change of the pixel values of the B channel and the R channel along the direction which passes through the value points and is perpendicular to the central line, and respectively obtaining M pixel value change curves for the B channel and the R channel; superposing M pixel value change curves in each channel to obtain a B curve corresponding to the B channel and an R curve corresponding to the R channel; calculating the half-width of the B curve and the half-width of the R curve, and comparing the half-widths of the B curve and the R curve with respective thresholds; if the half-width of the curve B exceeds the threshold value, the knife edge is infected, and if the half-width of the curve R exceeds the threshold value, the knife edge is red and swollen;
the effect of the processing mode is accurate positioning and analysis, and accurate monitoring of the knife edge condition is ensured by determining the central line of the suture area and coinciding with the knife edge. M value points are uniformly arranged on the central line, so that the information of the knife edge region can be comprehensively and finely obtained.
And simultaneously, respectively extracting pixel value changes of the B channel and the R channel by utilizing multi-channel data analysis to form M pixel value change curves. The multichannel analysis method can reveal the state of the knife edge from different angles, and improve the accuracy of diagnosis.
If the wound of the patient has serious bluish violet, the wound is infected, if the wound has serious red swelling, the wound healing is problematic, and the half-width of the B curve and the half-width of the R curve are calculated and compared with a preset threshold value, so that whether the wound has infection or red swelling can be automatically judged. The method realizes real-time monitoring and early warning of the incision condition, and is favorable for timely taking therapeutic measures.
D-2, the server sends a group of light intensity data to the data processor, wherein the group of light intensity data comprises a plurality of wave bands, and each wave band corresponds to a respective body fluid component content index; the body fluid component content index comprises red blood cell content and protein content;
substituting the light intensity data of each wave band into the respective quantitative curve by the data processor so as to obtain the content of red blood cells and the protein content in the body fluid;
the data processor calculates the body fluid health index of the patient according to the content of the red blood cells and the protein content, and the body fluid health index H is as follows:
；
wherein X represents the red blood cell content, Y represents the protein content, X 0 Representing a preset red blood cell content threshold value, Y 0 Representing a preset protein content threshold, k 1 、k 2 A coefficient greater than zero; smaller H indicates healthier body fluids;
d-3, the monitor regularly transmits the blood pressure, blood oxygen, body temperature and electrocardiograph monitoring data of the patient to the server; the data processor calculates the physiological health index S of the patient according to the blood pressure, blood oxygen, body temperature and electrocardiographic monitoring data of the patient:
；
wherein P represents the percentage of the blood pressure and the pressure deviating from the normal value range, Q represents the percentage of the blood oxygen below 100, T represents the percentage of the body temperature exceeding the normal value range, and U represents the standard deviation of the heartbeat interval time obtained by electrocardiographic monitoring; k (k) 3 、k 4 、k 5 、k 6 For coefficients greater than zero, a smaller S indicates a healthier;
specifically, if the blood pressure, the blood oxygen and the body temperature are in the normal range, the corresponding value is 0, and if the heart rate of electrocardiographic monitoring is more uniform, the value of U is smaller; the deviation percentage is the difference between the actual value and the threshold value of the normal value divided by the central value of the normal value range, for example, the normal value of the blood pressure is 100-120mm Hg, if the actual value is 150 mm Hg, the difference is 30 mm Hg, and the corresponding percentage is 30/110=27.3%;
step D-4, the wearable intelligent device sends the action steps, the exercise consumption and the heart rate of the patient to a server in real time;
the data processor calculates a patient movement index according to the movement steps, the movement consumption and the heart rate, wherein the movement index D is as follows:
；
wherein B represents the number of steps of the action, C represents the amount of calories burned by the action, E represents the percentage of heart rate deviating from the normal range of values, B 0 Representing a preset action step number threshold value, C 0 A threshold value, k, representing the amount of calories consumed by the preset action 7 、k 8 、k 9 A coefficient greater than zero;
d-5, the user input part sends the filling result of the questionnaire to the server; the data processor scores the questionnaire according to the filling result, and obtains a score E, wherein the larger E indicates the healthier E;
the server sends the incision infection, incision redness and swelling, body fluid health index H, physiological health index S, action index D and score E to the medical care terminal.
The data processor also performs the following processing:
if the incision is not infected and the incision is not red and swollen, analyzing whether the continuous multi-day action index D is gradually increased, and if the continuous multi-day action index D is not gradually increased, displaying a prompt at the medical care terminal, wherein the prompt is applied to the increase of the activity;
if the incision is infected or red, the following analysis is performed:
analyzing the body fluid health index H, the physiological health index S and the action index D for a plurality of consecutive days; analyzing whether the body fluid health index H and the physiological health index S gradually decrease and whether the action index D gradually increases for a plurality of continuous days;
if the body fluid health index H is not gradually reduced, displaying a prompt at the medical care terminal, and performing endoscopic examination on the corresponding patient;
if the physiological health index S is not gradually reduced, displaying a prompt at the medical care terminal, wherein the prompt corresponds to the inflammation of the patient;
if the action index D is gradually increased, a prompt is displayed on the medical care terminal, and the corresponding patient has excessive action.
The body fluid is urine;
the content of the questionnaire is a problem of subjective perception related to physical recovery of a patient, which varies according to the post-partum recovery time of the patient.
The light emitted by the light emitter 5 is infrared light of an adjustable wavelength.
The description of the foregoing embodiments has been provided for the purposes of illustration and description. It is not intended to be exhaustive or to limit the disclosure. Individual elements or features of a particular embodiment are generally not limited to the particular embodiment, but, where applicable, may be interchanged and used with the selected embodiment even if not specifically shown or described. The same elements or features may also be varied in many ways. Such variations are not to be regarded as a departure from the disclosure, and all such modifications are intended to be included within the scope of the disclosure.
Example embodiments are provided so that this disclosure will be thorough, and will fully convey the scope to those skilled in the art. Numerous details are set forth, such as examples of specific parts, devices, and methods, in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent to one skilled in the art that the exemplary embodiments may be embodied in many different forms without the use of specific details, and neither should be construed to limit the scope of the disclosure. In certain example embodiments, well-known processes, well-known device structures, and well-known techniques are not described in detail.
The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises" and "comprising" are inclusive and, therefore, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order discussed and illustrated, unless specifically indicated. It should also be appreciated that additional or alternative steps may be employed.
Claims (4)
1. A health monitoring data monitoring method for postpartum patients utilizes a health monitoring data monitoring system for postpartum patients; the method is characterized in that:
the health monitoring data monitoring system for postpartum patients comprises a server, a medical care terminal, a ward terminal, a data processor and a database;
the ward terminals and the medical care terminals are arranged in a plurality of ward terminals, and the ward terminals are arranged in the ward and used for collecting health data of postpartum patients; the medical care terminal is arranged in a doctor office and a nurse station and is used for displaying health data and recovery indexes of postpartum patients;
the medical care terminal and the ward terminal are both connected with a server through signals, and the server is connected with a data processor and a database; the ward terminal collects health data of a patient and sends the collected health data to the server;
the server stores the health data in a database, and meanwhile, the server sends the health data to a data processor for analysis and processing to obtain a recovery index of the postpartum patient; the server sends various recovery indexes to the medical care terminal;
each server is correspondingly connected with a plurality of medical care terminals and ward terminals, so that unified collection, unified processing and unified display of data are realized, and various health data and recovery indexes are called by the medical care terminals at any time;
the ward terminal is connected with the image acquisition part, the spectrum acquisition part, the physiological parameter acquisition part, the action parameter acquisition part and the user input part;
the image acquisition part is a movable image acquisition module arranged beside the sickbed, and the movable image acquisition module is a camera, a smart phone or a camera; the movable image acquisition module is provided with a light supplementing lamp and is used for acquiring visible light images of the suture position of the patient;
the spectrum acquisition part is a body fluid detection module arranged in a ward, and the body fluid detection module comprises a collecting cup (1), a transfer pump (2), a detection pool (3), a detection probe seat (4), a light emitter (5), a light receiver (6) and a detection controller (7);
the transfer pump (2) is connected with the collecting cup (1) and the detection pool (3) through a pipeline, and the transfer pump (2) quantitatively transfers the body fluid in the collecting cup (1) into the detection pool (3) through the pipeline; the detection pool (3) is arranged in the detection probe seat (4), and a light emitter (5) and a light receiver (6) which are oppositely arranged are arranged in the detection probe seat (4); light emitted by the light emitter (5) passes through the detection cell (3) and is collected by the light receiver (6); the detection controller (7) is connected with the light emitter (5) and the light receiver (6) and is used for controlling the light emitter (5) to emit detection light and acquiring light intensity data acquired by the light collector;
the physiological parameter acquisition part is a monitor arranged in a ward, and the monitor is provided with blood pressure detection, blood oxygen detection, body temperature detection and electrocardiograph monitoring functions and is used for acquiring blood pressure, blood oxygen, body temperature and electrocardiograph monitoring data of a patient at regular time;
the action parameter acquisition part is a wearable intelligent device bound with the patient ID, and the wearable intelligent device is provided with a step number detection function, a motion quantity detection function and a heart rate detection function; the method comprises the steps of action, exercise consumption and heart rate of a patient are acquired in real time;
the user input part is an interactive intelligent device arranged in the ward, the interactive intelligent device is provided with an interactive interface, and a patient fills out a questionnaire through the interactive interface at regular intervals;
the health monitoring data monitoring method for postpartum patients comprises the following steps:
step A: constructing a data interaction system
The medical care system comprises a configuration server, a medical care terminal, a ward terminal, a data processor and a database; the medical care terminal and the ward terminal are configured to be connected with a server through signals, and the server is connected with a data processor and a database;
the ward terminal is connected with the image acquisition part, the spectrum acquisition part, the physiological parameter acquisition part, the action parameter acquisition part and the user input part;
and (B) step (B): configuring patient ID
Setting a unique ID number for each patient, and binding equipment used in a patient ward with the ID number of the patient, so that the patient room terminal acquires the health data of the patient, including the ID number of the patient;
step C: data acquisition
The image acquisition part is a movable image acquisition module arranged beside the sickbed, and the movable image acquisition module periodically reminds a patient to use the movable image acquisition module to turn on the light supplementing lamp and shoot visible light images at the stitching position of the patient; the image acquisition unit transmits the captured image to the server;
when the body fluid detection module detects that body fluid enters, the transfer pump (2) quantitatively transfers the body fluid in the collecting cup (1) into the detection tank (3) through a pipeline; the detection controller (7) controls the light emitted by the light emitter (5) to pass through the detection cell (3) and then to be collected by the light receiver (6); a detection controller (7) acquires light intensity data acquired by the light collector; the body fluid detection module sends the collected group of light intensity data to the server;
the physiological parameter acquisition part is a monitor arranged in a ward and is used for acquiring blood pressure, blood oxygen, body temperature and electrocardiographic monitoring data of a patient at regular time; the monitor regularly transmits the blood pressure, blood oxygen, body temperature and electrocardiograph monitoring data of the patient to the server;
the action parameter acquisition part is a wearable intelligent device bound with the ID of the patient, and the wearable intelligent device acquires the action steps, the exercise consumption and the heart rate of the patient in real time; the wearable intelligent device sends the action steps, the exercise consumption and the heart rate of the patient to the server in real time;
the user input part is an interactive intelligent device arranged in the ward, the patient fills out the questionnaire through the interactive interface at regular intervals, and the user input part sends the filling result of the questionnaire to the server;
step D: data storage and analysis
All data acquired by the server in the step C are health data of the patient;
the server stores the health data in a database, and meanwhile, the server sends the health data to a data processor for analysis and processing to obtain a recovery index of the postpartum patient; the server sends various recovery indexes to the medical care terminal;
step E: data presentation and query
Responding to the display command of the medical terminal, and displaying the recovery index of the corresponding patient in each ward terminal on the medical terminal in real time;
responding to the inquiry command of the medical care terminal, and displaying the health data of the corresponding patient in the inquired ward terminal on the medical care terminal;
in the step D, the server sends the health data to the data processor for analysis and processing to obtain the recovery index of the postpartum patient specifically includes:
d-1, the server sends visible light images of the suture position of the patient to the data processor; the data processor processes the visible light image of the patient suture as follows:
dividing the image into channels, and extracting the divided images of each RGB channel; independently processing the images of the B channel and the R channel, graying the visible light image, and setting a binarization threshold value to perform binarization processing, so that a stitching region is rapidly extracted;
determining the central line of the stitching region, requiring the central line of the stitching region to coincide with the knife edge, uniformly determining M value points on the central line, wherein the intervals of the M value points are equal, extracting the change of the pixel values of the B channel and the R channel along the direction which passes through the value points and is perpendicular to the central line, and respectively obtaining M pixel value change curves for the B channel and the R channel; superposing M pixel value change curves in each channel to obtain a B curve corresponding to the B channel and an R curve corresponding to the R channel; calculating the half-width of the B curve and the half-width of the R curve, and comparing the half-widths of the B curve and the R curve with respective thresholds; if the half-width of the curve B exceeds the threshold value, the knife edge is infected, and if the half-width of the curve R exceeds the threshold value, the knife edge is red and swollen;
d-2, the server sends a group of light intensity data to the data processor, wherein the group of light intensity data comprises a plurality of wave bands, and each wave band corresponds to a respective body fluid component content index; the body fluid component content index comprises red blood cell content and protein content;
substituting the light intensity data of each wave band into the respective quantitative curve by the data processor so as to obtain the content of red blood cells and the protein content in the body fluid;
the data processor calculates the body fluid health index of the patient according to the content of the red blood cells and the protein content, and the body fluid health index H is as follows:
；
wherein X represents the red blood cell content, Y represents the protein content, X 0 Representing a preset red blood cell content threshold value, Y 0 Representing a preset protein content threshold, k 1 、k 2 A coefficient greater than zero; smaller H indicates healthier body fluids;
d-3, the monitor regularly transmits the blood pressure, blood oxygen, body temperature and electrocardiograph monitoring data of the patient to the server; the data processor calculates the physiological health index S of the patient according to the blood pressure, blood oxygen, body temperature and electrocardiographic monitoring data of the patient:
；
wherein P represents the percentage of the blood pressure and the pressure deviating from the normal value range, Q represents the percentage of the blood oxygen below 100, T represents the percentage of the body temperature exceeding the normal value range, and U represents the standard deviation of the heartbeat interval time obtained by electrocardiographic monitoring; k (k) 3 、k 4 、k 5 、k 6 For coefficients greater than zero, a smaller S indicates a healthier;
step D-4, the wearable intelligent device sends the action steps, the exercise consumption and the heart rate of the patient to a server in real time;
the data processor calculates a patient movement index according to the movement steps, the movement consumption and the heart rate, wherein the movement index D is as follows:
；
wherein B represents the number of steps of the action, C represents the amount of calories burned by the action, E represents the percentage of heart rate deviating from the normal range of values, B 0 Representing a preset action step number threshold value, C 0 A threshold value, k, representing the amount of calories consumed by the preset action 7 、k 8 、k 9 A coefficient greater than zero;
d-5, the user input part sends the filling result of the questionnaire to the server; the data processor scores the questionnaire according to the filling result, and obtains a score E, wherein the larger E indicates the healthier E;
the server sends the incision infection, incision redness and swelling, body fluid health index H, physiological health index S, action index D and score E to the medical care terminal.
2. A method of monitoring health monitoring data for post-partum patients as claimed in claim 1, wherein:
the data processor also performs the following processing:
if the incision is not infected and the incision is not red and swollen, analyzing whether the continuous multi-day action index D is gradually increased, if the continuous multi-day action index D is not gradually increased, displaying a prompt at a medical care terminal, and correspondingly increasing the activity of a patient;
if the incision is infected or red, the following analysis is performed:
analyzing the body fluid health index H, the physiological health index S and the action index D for a plurality of consecutive days; analyzing whether the body fluid health index H and the physiological health index S gradually decrease and whether the action index D gradually increases for a plurality of continuous days;
if the body fluid health index H is not gradually reduced, displaying a prompt at the medical care terminal, and performing endoscopic examination on the corresponding patient;
if the physiological health index S is not gradually reduced, displaying a prompt at the medical care terminal, wherein the prompt corresponds to the inflammation of the patient;
if the action index D is gradually increased, a prompt is displayed on the medical care terminal, and the corresponding patient has excessive action.
3. A method of monitoring health monitoring data for post-partum patients as claimed in claim 1, wherein:
the body fluid is urine;
the content of the questionnaire is a problem of subjective perception related to physical recovery of a patient, which varies according to the post-partum recovery time of the patient.
4. A method of monitoring health monitoring data for post-partum patients as claimed in claim 1, wherein:
the light emitted by the light emitter (5) is infrared light with adjustable wavelength.
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