CN117224137A

CN117224137A - Method, device, equipment and readable storage medium for displaying biological detection information

Info

Publication number: CN117224137A
Application number: CN202210649775.6A
Authority: CN
Inventors: 李裕龙; 范喜悦; 沈东雪; 刘亚晗
Original assignee: Edan Instruments Inc
Current assignee: Edan Instruments Inc
Priority date: 2022-06-08
Filing date: 2022-06-08
Publication date: 2023-12-15

Abstract

The application relates to the technical field of biological detection, and discloses a method, a device, equipment and a readable storage medium for displaying biological detection information. The method comprises the following steps: acquiring electrocardiographic information, blood pressure information and body position information acquired by wearable equipment; analyzing the electrocardiographic information to obtain a corresponding electrocardiographic analysis result, analyzing the blood pressure information to obtain a corresponding blood pressure analysis result, and analyzing the body position information to obtain a corresponding body position analysis result; and displaying an electrocardiographic analysis result, a blood pressure analysis result and a body position analysis result on the same screen. Through the mode, the body position information, the blood pressure information and the electrocardio information can be displayed in a linked mode, so that the associated analysis of data is facilitated, and the efficiency and the accuracy of electrocardio blood pressure detection and analysis are improved.

Description

Method, device, equipment and readable storage medium for displaying biological detection information

Technical Field

The present application relates to the field of biological detection technologies, and in particular, to a method, an apparatus, a device, and a readable storage medium for displaying biological detection information.

Background

Electrocardiography has been used more and more widely in clinic, can be used as an important clinical basis for diagnosing and distinguishing arrhythmia, and has important clinical value for diagnosing acute myocardial ischemia/infarction.

The blood pressure chart is a main means for evaluating blood pressure level, diagnosing hypertension and observing blood pressure reducing curative effect, and accurately measuring the change trend of blood pressure can improve the detection rate of early asymptomatic patients with mild hypertension or critical hypertension and can be used for timely treatment.

Current electrocardiographs and blood pressure maps are generally detected and displayed by two different devices, or an electrocardiograph detection device and a blood pressure detection device are integrated on one device for detection and display. However, electrocardiographic examination and blood pressure examination are performed independently, and do not interfere with each other, and thus the detected patient condition has a certain limitation.

Disclosure of Invention

The application provides a method, a device, equipment and a readable storage medium for displaying biological detection information, which can display body position information, blood pressure information and electrocardio information in a linked manner, and is convenient for carrying out association analysis of data.

In order to solve the above problems, the present application provides a method for displaying biological detection information, which includes: acquiring electrocardiographic information, blood pressure information and body position information acquired by wearable equipment; analyzing the electrocardiographic information to obtain a corresponding electrocardiographic analysis result, analyzing the blood pressure information to obtain a corresponding blood pressure analysis result, and analyzing the body position information to obtain a corresponding body position analysis result; and displaying an electrocardiographic analysis result, a blood pressure analysis result and a body position analysis result on the same screen.

Wherein, with screen display electrocardiograph analysis result, blood pressure analysis result and position analysis result, include: responding to the electrocardio analysis result as an electrocardio abnormality, and displaying an electrocardio analysis result corresponding to the electrocardio abnormality, a blood pressure analysis result corresponding to the time of the electrocardio abnormality and a body position analysis result on the same screen; or responding to the blood pressure analysis result as the blood pressure abnormality, and displaying the blood pressure analysis result corresponding to the blood pressure abnormality, the electrocardio analysis result corresponding to the time of the blood pressure abnormality and the body position analysis result on the same screen; or responding to the body position analysis result as the body position abnormality, and displaying the body position analysis result corresponding to the body position abnormality, the blood pressure analysis result corresponding to the time of the body position abnormality and the electrocardio analysis result on the same screen.

The method for analyzing the electrocardio information to obtain a corresponding electrocardio analysis result comprises the following steps: extracting characteristic parameters from electrocardiographic information; analyzing the characteristic parameters to obtain corresponding electrocardiographic abnormality information as an electrocardiographic analysis result; the electrocardiographic abnormality information comprises at least one of ventricular premature information, atrial fibrillation information, ST interval information, atrial premature information, ventricular bigeminal rate information, ventricular rate information and heart rate variability information.

The characteristic parameters comprise at least one of cardiac cycle type, cardiac cycle position, interval, heart rate, P-wave parameter and Q-wave parameter, the heart rate variation information comprises SDNN with value smaller than 50, the atrial fibrillation information comprises initial atrial fibrillation or paroxysmal atrial fibrillation, the atrial fibrillation information corresponds to P-wave disappearance or replacement by irregular f-wave, or irregular RR interval, or the atrial fibrillation frequency is 350-600 times/min.

The method comprises the steps of analyzing the characteristic parameters to obtain corresponding electrocardiographic abnormality information, wherein the electrocardiographic abnormality information is used as an electrocardiographic analysis result and comprises the following steps: analyzing the characteristic parameters to determine corresponding electrocardiographic abnormality information; and drawing an electrocardiographic analysis chart/table showing the change trend of electrocardiographic abnormality information along with time as an electrocardiographic analysis result.

Wherein, the same screen display electrocardio analysis result, blood pressure analysis result and body position analysis result comprise: judging whether the electrocardio analysis result is an electrocardio abnormality or not while displaying the electrocardio analysis result, the blood pressure analysis result and the body position analysis result on the same screen; and responding to the electrocardio analysis result as the electrocardio abnormality, and displaying marks at the position corresponding to the electrocardio abnormality of the displayed electrocardio analysis result.

Wherein, with screen display electrocardiograph analysis result, blood pressure analysis result and position analysis result, include: displaying a graph/table corresponding to the blood pressure analysis result, wherein the graph/table corresponding to the blood pressure analysis result comprises a trend of change of blood pressure characteristic parameters corresponding to the blood pressure analysis result along with time, and the blood pressure characteristic parameters comprise at least one of diastolic pressure, systolic pressure and pulse rate value;

and responding to a selection instruction of a characteristic parameter in a graph/table corresponding to the blood pressure analysis result, and displaying an electrocardiographic analysis result and a body position analysis result which are synchronous with the selected characteristic parameter on the same screen.

Wherein the method further comprises: and responding to a click command of a target position in the graph corresponding to the blood pressure analysis result, displaying a click line corresponding to the target position, and displaying blood pressure characteristic parameters of the corresponding position on the click line.

The body position information is acquired by a motion sensor, the body position analysis result comprises a calm state and a motion state, and the motion state comprises at least one of rapid motion, slow motion, ascending and descending.

In order to solve the above problems, another technical solution adopted by the present application is to provide a method for displaying biological detection information, the method comprising: acquiring electrocardiographic information, blood pressure information and body position information acquired by wearable equipment; and displaying electrocardiographic information, blood pressure information and body position information on the same screen.

In order to solve the above problems, another technical solution adopted by the present application is to provide a method for displaying biological detection information, the method comprising: acquiring electrocardiographic information, blood pressure information and body position information acquired by wearable equipment; analyzing the electrocardio information to obtain a corresponding electrocardio analysis result, or analyzing the blood pressure information to obtain a corresponding blood pressure analysis result, or analyzing the body position information to obtain a corresponding body position analysis result; the first information, the second information and the third information are displayed on the same screen, the first information comprises at least one of electrocardiographic information and electrocardiographic analysis results, the second information comprises at least one of blood pressure information and blood pressure analysis results, and the third information comprises at least one of body position information and body position analysis results.

In order to solve the above problems, another technical solution adopted by the present application is to provide a wearable device, which includes: the electrocardiograph data interface is used for connecting an electrocardiograph acquisition component worn on a living body to acquire electrocardiograph information acquired by the electrocardiograph acquisition component; the blood pressure data interface is used for connecting a blood pressure acquisition component worn on a living body to acquire blood pressure information acquired by the blood pressure acquisition component; the body position data interface is used for connecting a body position acquisition component worn on a living body to acquire body position information acquired by the body position acquisition component; the controller is connected with the electrocardio data interface, the blood pressure data interface and the body position data interface and is used for analyzing electrocardio information to obtain a corresponding electrocardio analysis result, analyzing blood pressure information to obtain a corresponding blood pressure analysis result and analyzing body position information to obtain a corresponding body position analysis result; and displaying the electrocardio analysis result, the blood pressure analysis result and the body position analysis result on the same screen.

In order to solve the above problems, another technical solution adopted by the present application is to provide a wearable device, which includes: the electrocardiograph data interface is used for connecting an electrocardiograph acquisition component worn on a living body to acquire electrocardiograph information acquired by the electrocardiograph acquisition component; the blood pressure data interface is used for connecting a blood pressure acquisition component worn on a living body to acquire blood pressure information acquired by the blood pressure acquisition component; the body position data interface is used for connecting a body position acquisition component worn on a living body to acquire body position information acquired by the body position acquisition component; the controller is connected with the electrocardio data interface, the blood pressure data interface and the body position data interface and is used for analyzing electrocardio information to obtain a corresponding electrocardio analysis result, analyzing blood pressure information to obtain a corresponding blood pressure analysis result, or analyzing body position information to obtain a corresponding body position analysis result; and displaying first information, second information and third information on the same screen, wherein the first information comprises at least one of electrocardiographic information and electrocardiographic analysis results, the second information comprises at least one of blood pressure information and blood pressure analysis results, and the third information comprises at least one of body position information and body position analysis results.

In order to solve the above problems, another technical solution adopted by the present application is to provide a display device for biological detection information, the display device includes a processor and a memory connected to the processor, wherein the memory stores program data, and the processor retrieves the program data stored in the memory to execute the method provided by any one of the above technical solutions.

In order to solve the above-mentioned problems, another technical solution adopted by the present application is to provide a computer readable storage medium having stored therein program instructions that are executed to implement the method provided in any one of the above-mentioned technical solutions.

The beneficial effects of the application are as follows: unlike the prior art, the present application provides a method for displaying biological detection information, the method comprising: acquiring electrocardiographic information, blood pressure information and body position information acquired by wearable equipment; analyzing the electrocardiographic information to obtain a corresponding electrocardiographic analysis result, analyzing the blood pressure information to obtain a corresponding blood pressure analysis result, and analyzing the body position information to obtain a corresponding body position analysis result; and displaying an electrocardiographic analysis result, a blood pressure analysis result and a body position analysis result on the same screen. Through the mode, the body position information, the blood pressure information and the electrocardio information can be displayed in a linkage mode, so that the electrocardio information and the blood pressure information can be analyzed, and meanwhile, the joint analysis can be carried out by referring to the body position information, the comparison analysis of the electrocardio information and the blood pressure information is facilitated, and the efficiency and the accuracy of the electrocardio-blood pressure joint detection and analysis are improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:

FIG. 1 is a flow chart of an embodiment of a method for displaying biological detection information according to the present application;

FIG. 2 is a schematic view of the relative rotation of a first torso portion and a second torso portion in accordance with an embodiment of the present application;

FIG. 3 is a schematic diagram of one embodiment of a body position analysis result;

FIG. 4 is a schematic diagram of one embodiment of a blood pressure analysis meter;

FIG. 5 is a schematic diagram of an embodiment of a blood pressure analysis chart;

FIG. 6 is a flowchart of an embodiment of analyzing electrocardiography in step 12 to obtain a corresponding electrocardiographic analysis result;

FIG. 7 is a flowchart of step 121a for extracting feature parameters from electrocardiographic information;

FIG. 8 is a schematic illustration of a cardiac cycle in electrocardiographic information;

FIG. 9 is a schematic diagram of an embodiment of an electrocardiographic fragment corresponding to electrocardiographic information;

FIG. 10 is a diagram of one embodiment of ST interval information;

FIG. 11 is a schematic diagram of an embodiment of a trend graph of time domain indicators in an electrocardiographic analysis graph;

FIG. 12 is a schematic diagram of one embodiment of a frequency index trend graph in an electrocardiographic analysis map;

FIG. 13 is a flow chart of an embodiment of step 122 a;

FIG. 14 is a schematic diagram of an embodiment of an electrocardiograph table;

FIG. 15 is a schematic diagram of one embodiment of an electrocardiographic anomaly information data trend graph;

FIG. 16 is a schematic diagram of an embodiment of a scatter plot of electrocardiographic anomaly information data;

FIG. 17 is a schematic diagram of an embodiment of a histogram of electrocardiographic anomaly information data;

FIG. 18 is a flow chart of an embodiment of step 13

FIG. 19 is a schematic diagram of a human-computer interface of a first embodiment showing the results of electrocardiographic analysis, blood pressure analysis and body position analysis on the same screen;

FIG. 20 is a schematic diagram of a human-computer interface of a second embodiment showing the results of electrocardiographic analysis, blood pressure analysis and body position analysis on the same screen;

FIG. 21 is a schematic diagram of a human-computer interface of a third embodiment showing the results of electrocardiographic analysis, blood pressure analysis and body position analysis on the same screen;

FIG. 22 is a flowchart of another embodiment of a method for displaying biological test information according to the present application;

FIG. 23 is a flow chart of another embodiment of a method for displaying biological test information according to the present application;

fig. 24 is a schematic structural diagram of a wearable device according to the present application;

fig. 25 is a schematic structural diagram of another wearable device provided by the present application;

FIG. 26 is a schematic diagram of a display device for biological detection information according to the present application;

fig. 27 is a schematic structural diagram of an embodiment of a computer readable storage medium according to the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present application are shown in the drawings. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The terms "comprising" and "having" and any variations thereof herein are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

Studies show that the electrocardiogram change and the blood pressure change of a patient with hypertension are related, and obvious blood pressure fluctuation can occur when the electrocardiogram is obviously changed, arrhythmia occurs, conduction block occurs, arrhythmia occurs, ST-segment depression occurs simultaneously, and the like. Some patients with hypertension show clinically relevant symptoms with reduced blood pressure and increased heart rate.

If the dynamic electrocardiogram and the dynamic blood pressure monitoring are detected and analyzed in a combined way, the missed diagnosis probability of some patients with early-stage hypertension can be reduced, arrhythmia caused by sudden rise or fall of blood pressure caused by the change of the body position of the patient can be reduced in the process of treating the hypertension by using the antihypertensive drug, the risk of conduction block is reduced, and a better prognosis effect is possible. Therefore, in one technical scheme of the application, the body position characteristics, the body position information, the blood pressure information and the electrocardio information obtained by the blood pressure detection and the electrocardio detection of the patient are subjected to linkage analysis and display, and the body data of the patient are expected to be convenient to be subjected to association analysis and diagnosis.

Referring to fig. 1, fig. 1 is a flow chart of an embodiment of a method for displaying biological detection information according to the present application. The method comprises the following steps:

step 11: and acquiring electrocardiographic information, blood pressure information and body position information acquired by the wearable equipment.

The wearable device may include a wearable electrocardiograph acquisition device, a wearable blood pressure acquisition device, and a wearable posture acquisition device.

The wearable electrocardio acquisition device, the wearable blood pressure acquisition device and the wearable body position acquisition device can be arranged on a display device of biological detection information in a centralized way. For example, a wearable electrocardiograph acquisition device, a wearable blood pressure acquisition device, a wearable posture acquisition device, and a display device for biological detection information are used as the master-slave mode. The display device of the biological detection information is a host end, and the wearable electrocardio acquisition device, the wearable blood pressure acquisition device and the wearable body position acquisition device are slave ends.

The wearable electrocardio acquisition device, the wearable blood pressure acquisition device, the wearable body position acquisition device and the display device of biological detection information are in communication connection.

The posture information, the electrocardiographic information and the blood pressure information can be local original data acquired by a sensor assembled on a display device of biological detection information, or can be electrocardiographic information and blood pressure information transmitted by receiving other application terminals. The wearable electrocardio acquisition device, the wearable blood pressure acquisition device and the wearable body position acquisition device can be formed by using the sensor.

For example, the electrocardiographic information may be obtained by converting electrocardiographic signals acquired by an electrocardiographic sensor, the blood pressure information may be obtained by converting blood pressure signals acquired by a blood pressure information sensor, and the posture information may be obtained by converting posture signals acquired by a motion sensor, such as an acceleration sensor, a gyroscope, a speed sensor, or the like, or a combination thereof.

For the acquisition of the position signals, a three-axis gyroscope can be worn in front of the chest of a user, an acceleration sensor, an angle sensor and a speed sensor are worn on the limbs of the user, and the human body posture information of the user is acquired by using the sensing of the sensors.

Optionally, a lithium battery with high energy density can be used in any type of sensor to increase endurance; further, the sensor collecting human body posture information specifically includes: the sensor acquires the relative rotation angle and the relative rotation angular speed of the first body part and the second body part of the human body; referring to fig. 2, fig. 2 is a schematic view illustrating relative rotation between a first body and a second body according to an embodiment of the application.

Referring to fig. 2, a line segment AB represents a first body part of a human body, a line segment BC represents a second body part of the human body, a relative angle and a relative angular velocity are generated when the first body part of the human body rotates relative to the second body part of the human body, taking the first body part and the second body part of the human body as an example that the first body part and the second body part are 0 ° on a straight line, when the first body part rotates relative to the second body part, a relative angle θ and a relative angular velocity ω are generated, a sensor measures and collects the relative angle θ and the relative angular velocity ω, and further, the sensor filters an interference signal in the collected relative angle θ and relative angular velocity ω through a digital filter to obtain filtered relative angle θ1 and relative angular velocity ω1, that is, posture information of the human body in an embodiment of the present application, and transmits the posture information of the human body to a display device of biological detection information to be converted into posture information.

It will be appreciated that the body part in the embodiment of the present application refers to two connection parts where the body is rotatable, alternatively the body part may be two limb parts connected to the knee joint, elbow joint, ankle joint or waist of the human body, alternatively the two limb parts in the body part may be referred to as a first body part and a second body part, for example, the body part in the embodiment of the present application includes a thigh being the first body part and a shank being the second body part. Can be sitting, standing, walking, running, rotating, etc.

For acquiring electrocardiosignals, an electrocardiosignal acquisition device can be worn on the limbs and the chest of a user, and the electrodes of the electrocardiosignal acquisition device are contacted with a human body to acquire the heart electric activity signals of the user. Further, the heart electric activity signal of the heart electric information collector is received by a display device of biological detection information, the heart electric activity signal is filtered by a low-pass filter to remove the interference common frequency notch, and the filtered heart electric activity signal is subjected to data conversion by an Analog-to-Digital Converter (Analog-to-digital converter) to form the heart electric information.

Specifically, the acquired electrocardiograph comprises an acquisition period, acquisition time, electrocardiograph parameters corresponding to electrocardiograph segments and electrocardiograph events determined according to the electrocardiograph parameters. The electrocardiographic parameters corresponding to the electrocardiographic fragments comprise at least one of average heart rate, slowest heart rate, heart beat type, heart beat position, interval parameters, waveform parameters, fastest heart rate and total number of heart beats, and the electrocardiographic events comprise at least one of atrial premature beat, atrial speed, ventricular premature beat, single-shot ventricular premature beat, paired ventricular premature beat, ventricular speed and ventricular bivariate.

Optionally, electrodes are placed at different parts of a human body through an electrocardiograph by using a multi-lead mode, different leads are formed between every two electrodes or between the electrodes and a central potential end, and the electrodes are connected with the positive electrode and the negative electrode of an electrocardiograph ammeter through lead wires to record the electrical activity of the heart. The lead number of the electrocardiograph collector comprises 8 leads, 12 leads, 18 leads and the like, and a display device of the biological detection information can comprise a plurality of lead switching modes for acquiring and analyzing electrocardiograph information with different lead numbers.

For collecting blood pressure signals, a blood pressure information collector can be worn on the limbs of a user, a main controller connected with the blood pressure information collector is utilized to control an air pump to inflate a cuff of the blood pressure information collector to a certain pressure value, the blood pressure information collector is ensured to exceed the systolic pressure of a blood vessel, the blood flow is blocked, and then the air pump is controlled to deflate stepwise at a speed. In the deflation process, a main pressure sensor in the blood pressure information collector converts pressure signals in the cuff into blood pressure electrical activity signals. Further, the display device of the biological detection information obtains the blood pressure electric activity signal of the blood pressure information collector, filters the blood pressure electric activity signal through the low-pass filter to obtain the static pressure signal and the pulse signal of the cuff, and then carries out data conversion on the static pressure signal and the pulse signal through the ADC analog-digital converter to form blood pressure information.

Specifically, the acquired blood pressure information includes a plurality of sets of blood pressure parameters, and an acquisition time of each set of blood pressure parameters. The blood pressure information acquisition device acquires blood pressure information once every other preset time to obtain a group of blood pressure parameters. Each set of blood pressure parameters includes at least one of an acquisition date, an acquisition time, a systolic pressure, a diastolic pressure, an average arterial pressure, a pulse rate, a posture feature, and an error code.

In one embodiment, the blood pressure information collector is configured to collect blood pressure information from 10:00 starts to collect blood pressure information every 2 hours, and 5 times of blood pressure information are collected in total. Namely, the acquired blood pressure information at this time comprises five groups of blood pressure parameters, and the acquisition time corresponding to each group of blood pressure parameters is respectively 10: 00. 12: 00. 14: 00. 16: 00. 18:00 and 20:00.

optionally, the display device of the biological detection information is respectively connected with the motion sensor, the electrocardiograph information collector and the blood pressure information collector. The motion sensor, the electrocardiograph information collector and the blood pressure information collector are arranged in the upper computer, and the upper computer can be respectively in communication connection with the motion sensor, the electrocardiograph information collector and the blood pressure information collector by using special communication protocols such as USB (Universal Serial Bus ), bluetooth or serial ports. The upper computer stores information of a user, a plurality of body position information, electrocardiograph information, blood pressure information and program data, and is used for controlling the motion sensor, the electrocardiograph information collector and the blood pressure information collector to perform data collection tasks, setting data collection parameters, analyzing the body position information, the electrocardiograph information and the blood pressure information tasks and displaying related charts under different scenes. The upper computer can also print corresponding data, analysis results, graphs/tables and other information or output report documents.

Optionally, the display device of the biological detection information includes an input module and a human-machine interface. The input module is used for inputting control signals to the display device of the biological detection information to control the operation of the display device of the biological detection information, such as inputting control signals for configuring acquisition modes (such as a single electrocardiograph mode, a single blood pressure mode and an electrocardiograph blood pressure mode), acquisition duration, start-stop time, interval time and special function parameters (such as detection frequency parameters, early warning value parameters, channel number parameters and sampling rate parameters) and the like, so as to complete the function parameter configuration of the upper computer, save the function parameter configuration and facilitate subsequent continuous use. The human-computer interface is used for providing a user operation interface, such as an acquisition mode selection main interface for selecting body position information acquisition, electrocardio information acquisition or blood pressure information acquisition, a functional mode working interface for displaying body position information, electrocardio information or blood pressure information, a parameter setting interface for configuring acquisition data and the like. For example, a certain piece of blood pressure information or electrocardiographic information can be set as invalid data through the input module, and the certain piece of blood pressure information or electrocardiographic information can be modified.

Specifically, the upper edge area of the man-machine interface includes an option menu bar, and the application interface of the corresponding option can be displayed when the corresponding option identifier is selected and determined by the input module of the display device of the biological detection information. Wherein the option menu bar includes: patient information, templates, body position analysis results, electrocardiographic analysis results, blood pressure analysis results, atrial fibrillation/atrial flutter, events, body position analysis graphs, electrocardiographic analysis graphs, blood pressure analysis graphs, superposition graphs, scatter graphs, trend graphs, lists, statistical information, reports and other option identifiers, for example, the input module selects and determines the option of the blood pressure analysis graph, and then the human-computer interface displays corresponding information of the blood pressure analysis graph, such as a blood pressure histogram, a blood pressure circadian rhythm graph, marks thereof and the like. The human-computer interface of the upper computer can input a selection instruction through the input module, and a corresponding display scheme is set according to the selection instruction. Optionally, displaying the protocol includes displaying any one or any combination of several of a posture analysis result, an electrocardiographic analysis result, or a blood pressure analysis result, and their corresponding analysis maps or statistics/tables.

Alternatively, the input module may be a key input or a voice input. The key input unit may include a plurality of keys, and the voice input unit may include a plurality of voice keywords for inputting different control signals to the display device of the biometric information. For example, the key input device may include four keys, namely a confirm key, a left key, a right key and a self-rescue key, wherein the confirm key, the left key and the right key are used for performing interface operation on a human-computer interface and inputting corresponding control signals to a display device of biological detection information. The self-rescue key is triggered by one key, and the display device of the biological detection information receives a control signal sent by the self-rescue key and immediately starts a self-rescue mode. For example, the plurality of voice keywords in the voice inputter include the same functions as the plurality of keys in the key inputter. For example, a voice keyword is "blood pressure analysis chart", the voice input unit recognizes the keyword and sends a corresponding control signal to the upper computer, and the display device of the biological detection information immediately displays the blood pressure histogram or the blood pressure circadian rhythm chart in the human-computer interface and provides operational functional options such as modifying the blood pressure information, viewing the blood pressure information chart, and the like.

Step 12: analyzing the electrocardio information to obtain a corresponding electrocardio analysis result, analyzing the blood pressure information to obtain a corresponding blood pressure analysis result, and analyzing the body position information to obtain a corresponding body position analysis result.

In some embodiments, in response to the result of the electrocardiographic analysis being an electrocardiographic anomaly, determining a blood pressure data segment corresponding to the acquisition time in the blood pressure data, the electrocardiographic anomaly including a value of SDNN of less than 50, a first atrial fibrillation or a paroxysmal atrial fibrillation, atrial fibrillation information corresponding to P-wave disappearance or replacement by irregular f-waves, or irregular RR intervals, or an atrial fibrillation frequency of 350-600 times/minute.

In some embodiments, the data segments of the electrocardiograph may be analyzed for ST segments, resulting in ST analysis results. And responding to the ST analysis result as abnormality, and outputting at least blood pressure data corresponding to the abnormality or blood pressure analysis results obtained after analyzing the blood pressure data. Specifically, in response to ST abnormality raised by one millimeter or pressed against by one millimeter, at least the blood pressure data corresponding to the abnormality or a blood pressure analysis result obtained after analyzing the blood pressure data is output. For example, raised by more than one millimeter or pressed against more than one millimeter on the ordinate of the electrocardiogram.

When the ST segment data graph is raised by more than one millimeter or pressed against by more than one millimeter in a sudden manner, the ST is shown to be abnormal, the physical condition of the user is abnormal in a high probability, and corresponding blood pressure data or analysis results corresponding to the abnormality are required to be output so as to help analyze and judge the physical condition of the user. Here, one millimeter is a schematic abnormal data amount, which is a degree of improvement in a conventional display data trend chart, and is changed specifically in accordance with the ordinate data of the data chart.

Further, in response to the ST continuously raising the set raised amount or continuously pressing against the set depressed amount for a preset time, both the set raised amount and the set depressed amount are less than one millimeter, the blood pressure measuring device is controlled to be turned on to prepare for blood pressure measurement.

When the physical condition of the user is abnormal, blood pressure measurement is needed, and because the blood pressure measurement needs time, in order to conveniently judge the physical condition of the user, complete data when the physical condition of the user is abnormal is obtained, and the blood pressure measurement needs to be started in advance when abnormal ST data occurs. If the ST data is continuously raised or pressed over a certain period of time, it indicates that there is a certain continuous trend of change, and the probability of the ST data in the future in the near period of time will continue to change along the previous trend of change, which also indicates that the user may be about to have a physical abnormality. At this time, the blood pressure measurement is started, and the blood pressure measurement device is started. The set elevation and the set depression are each less than one millimeter.

Taking the analysis of the body position information to obtain the corresponding body position analysis result as an example for explanation:

in some embodiments, the phase states of the posture information are classified into two categories using appropriate thresholds for the limb movement joint angle and the joint angle differential value, including: quiet state: standing, wherein the left foot is stopped at the front, the right foot is stopped at the front, and the right foot is in a sitting state or a lying state, a recumbent state and other human body positions are static; motion state: at least one of fast movement, slow movement, uphill and downhill. Wherein, the differential threshold value of the limb joint angle is used for determining the motion state of the limb, if the differential threshold value of the limb joint angle is small, the limb is stationary, and if the differential threshold value of the limb joint angle is large, the limb is moving. Wherein the threshold value of the joint angle difference value is 15 degrees, and the threshold value is used for determining the posture of the limb, for example, the posture of the limb may be upright, the left foot is in front and the like according to the different joint angles of the limb. Further, the phase state of the limb is subjected to single-step segmentation, namely, the analysis unit of the upper computer only analyzes one limb action after receiving a group of data, and the body position analysis result is obtained through continuous limb actions. The body position analysis result comprises a calm state and a movement state, wherein the movement state comprises at least one of intense movement, rapid movement, slow movement, ascending and descending.

Fig. 3 is a schematic diagram of an embodiment of the body position analysis result, as shown in fig. 3. The body position analysis result is displayed in a body position analysis table form and comprises analyzed body position states, namely movement states, namely ascending, rapid movement and slow movement, and a plurality of groups of data acquisition time, limb movement joint angles and joint angle differential values. Optionally, the posture state and the multiple groups of limb movement joint angles and joint angle differential values can be modified by the upper computer so as to obtain the human body posture information more flexibly.

Taking the analysis of blood pressure information to obtain the corresponding blood pressure analysis result as an example for explanation:

in an embodiment, the display device of the biological detection information sorts the acquired blood pressure information according to the time sequence, and forms a blood pressure information set, and stores the blood pressure information set in the data storage structure D. Wherein D1 represents a first blood pressure information record, D2 represents a second blood pressure information record, and so on, and Dm represents a last blood pressure information record. Further, the display device of the biological detection information can extract the blood pressure information in the data storage structure D at any time, and determine a corresponding blood pressure analysis chart/table according to the blood pressure information, wherein the blood pressure analysis chart/table corresponding to the blood pressure information is a blood pressure analysis result. The blood pressure analysis meter can be obtained by analyzing blood pressure information, and the blood pressure analysis chart can be obtained by analyzing and converting the blood pressure analysis meter.

For determining the blood pressure analysis meter, the blood pressure information collected each time can be divided into a corresponding blood pressure value, and the blood pressure values are arranged in a row corresponding to the blood pressure analysis meter according to the sequence of the collection time.

As shown in fig. 4, fig. 4 is a schematic diagram of an embodiment of a blood pressure analysis meter. The information displayed by the blood pressure value comprises acquisition date, acquisition time, systolic pressure, diastolic pressure, pulse pressure, mean arterial pressure, pulse rate, body position characteristics, error codes and remarks. For example, in the blood pressure value 5, the displayed blood pressure information includes: the acquisition date is 2019-10-08, the acquisition time is 15:00, the systolic pressure is 119, the diastolic pressure is 86, the pulse pressure is 24, the mean arterial pressure is 104, the pulse rate is 67, the body position is characterized by intense exercise, the error code is absent and the remark is absent. Optionally, the abnormal target blood pressure value can be distinguished from other blood pressure values by changing the font and/or the font size of the abnormal target blood pressure value in the blood pressure analysis table and adding a specific mark.

For determining the blood pressure analysis chart, the obtained blood pressure analysis chart can be drawn into a corresponding blood pressure analysis chart through an image algorithm. The blood pressure analysis chart comprises a circadian rhythm chart, a blood pressure scattered point analysis chart or a blood pressure trend analysis chart which are formed by converting various blood pressure information in the blood pressure analysis chart.

As shown in fig. 5, fig. 5 is a schematic diagram of an embodiment of a blood pressure analysis chart. Wherein, the blood pressure analysis chart is a blood pressure trend analysis chart. And (3) taking time as an abscissa and taking systolic pressure and diastolic pressure or pulse rate values as an ordinate, connecting and drawing each corresponding numerical value of the systolic pressure and diastolic pressure or pulse rate values (not shown) of blood pressure information in a period of acquisition time T to form a blood pressure trend analysis chart, and more directly and efficiently observing the blood pressure state of a user through the blood pressure analysis chart so as to carry out subsequent association analysis and comparison in a visual mode. All data values of systolic pressure are connected into a solid line A, all data values of diastolic pressure are connected into a broken line B or all data values of pulse rate are connected into a solid line C (not shown), and the abscissa of the blood pressure trend analysis chart is the acquisition time and the data value of the blood pressure information acquisition point respectively.

Optionally, each value of the systolic and diastolic blood pressure or pulse rate values of the blood pressure information over a collection time is plotted as a blood pressure scatter analysis chart. Wherein, a data value corresponds to a point location, and the abscissa of the analysis chart of the blood pressure scattered points can be the systolic pressure and/or the diastolic pressure and/or the pulse rate value of the blood pressure acquisition point.

Taking the electrocardiographic information analysis to obtain the corresponding electrocardiographic analysis result as an example for explanation:

referring to fig. 6, fig. 6 is a flow chart illustrating an embodiment of analyzing electrocardiographic information in step 12 to obtain a corresponding electrocardiographic analysis result. Step 12 may specifically comprise the following steps.

Step 121: and extracting characteristic parameters from the electrocardiographic information.

Wherein the characteristic parameter comprises at least one of a cardiac cycle type, a cardiac cycle position, an interval, a heart rate, a P-wave parameter, and a Q-wave parameter.

Referring to fig. 7, fig. 7 is a flowchart illustrating an embodiment of extracting feature parameters from electrocardiographic information in step 121. Step 121 may specifically include the following steps.

Step 71: a plurality of cardiac cycles of the electrocardiographic information is determined.

As shown in fig. 8, fig. 8 is a schematic diagram of one cardiac cycle in electrocardiographic information. Wherein the abscissa of the cardiac cycle represents time and the ordinate of the cardiac cycle represents the detected signal value (e.g. voltage value). Wherein a plurality of cardiac cycles are included in the global electrocardiographic information, each cardiac cycle representing a beat, one cardiac cycle being shown in fig. 8. Specifically, the heart beat parameters of one cardiac cycle mainly include PR interval and QT interval, which in turn includes QRS interval and JT interval. The PR interval comprises PR segments, and the JT interval comprises ST segments. The heart beat parameters included between each interval are P-wave, Q-wave, R-wave, J-wave, T-wave and U-wave. Wherein the R wave between two cardiac cycles is the RR interval. One or a combination of any of the above-mentioned beat parameters is extracted from the electrocardiographic information, and the extracted beat parameters include at least RR interval parameters of each beat.

In an embodiment, as shown in fig. 9, fig. 9 is a schematic diagram of an embodiment of an electrocardiographic fragment diagram corresponding to electrocardiographic information. In the electrocardiograph fragment diagram of fig. 9, the initial acquisition time of electrocardiograph information is T1, the end acquisition time is T4, the electrocardiograph fragment diagram corresponds to the cardiac cycle in which B and E are located, four cardiac cycles C, A, D, E are further included after B is set, and the cardiac cycle position of a is T2-T3. The RR interval starts at time T5 and ends at time T6.

Step 72: corresponding feature parameters are extracted from each cardiac cycle.

Specifically, the characteristic parameters extracted from the electrocardiographic information include an acquisition range corresponding to electrocardiographic information, acquisition time and electrocardiographic parameters corresponding to electrocardiographic fragments. The electrocardiograph parameters corresponding to the electrocardiograph segments comprise at least one of average heart rate, slowest heart rate, fastest heart rate, total number of heart beats, heart cycle type, heart cycle position, RR interval, P-wave parameters and Q-wave parameters.

Step 122: and analyzing the characteristic parameters to obtain corresponding electrocardiographic abnormality information as an electrocardiographic analysis result.

Specifically, the characteristic parameters are analyzed to obtain electrocardiographic abnormality information corresponding to each cardiac cycle, and the electrocardiographic abnormality information is used as an electrocardiographic analysis result. The electrocardiographic abnormality information comprises at least one of ventricular premature information, atrial fibrillation information, ST interval information, atrial premature information, ventricular bigeminal rate information, ventricular rate information and heart rate variability information. The heart rate variability information comprises SDNN with a value smaller than 50, and the atrial fibrillation information comprises first atrial fibrillation or paroxysmal atrial fibrillation, wherein the atrial fibrillation information corresponds to P wave disappearance or replacement by irregular f wave, or irregular RR interval, or the atrial fibrillation wave frequency is 350-600 times/min.

Taking ST interval information as an example, description will be given:

in some embodiments, the display device of the biological detection information performs abnormality detection based on the ST value in the feature parameter corresponding to a certain target lead, and determines whether the ST value is abnormal according to a preset threshold condition. Optionally, the upper computer performs abnormality detection based on the ST value corresponding to the aVR, aVL, aVF lead. The determination of whether the ST value is abnormal is based on at least one of elevation, depression, extension, and shortening of the ST value, and the ST value is determined to be abnormal when at least one of elevation, depression, extension, or shortening of the target ST value exceeds a preset threshold condition.

In one embodiment, the normal ST value is at a voltage of around 1 mv. Judging whether the ST value is abnormal or not under the threshold condition that the depression of the ST value is not more than 0.4-0.6 mv; the elevation of ST should not exceed 0.5mV-1.5mV for the remaining leads except for the V1-V3 leads which can be elevated by 2.5mV-3.5 mV. The extension and shortening of the ST segment (acquired ST value in a period of acquisition time) corresponding to the ST value is 0.05mm-0.15mm. If the ST value is within the at least one threshold condition, the ST value is judged to be normal, and if the ST value exceeds the at least one threshold condition, the ST value is judged to be abnormal. And corresponding electrocardiographic abnormality information, namely ST value abnormality information, is obtained.

Specifically, in response to the display device of the biological detection information detecting that the detection result of the ST value of a certain ST trend chart is abnormal, the display device of the biological detection information determines a target time T1 in which the ST value is abnormal in the ST trend chart according to a preset rule.

Optionally, corresponding ST interval information is determined according to the ST value as a result of the electrocardiographic analysis. The ST interval information includes an ST trend graph or an ST trend table. The coordinate system of the ST trend graph is a pixel coordinate system, the pixel abscissa axis of the ST trend graph is represented by the acquisition time of ST data, and the ordinate axis of the ST trend graph is represented by the voltage corresponding to the ST value or the height of the ST value.

Specifically, as shown in fig. 10, fig. 10 is a schematic diagram of an embodiment of ST interval information. Wherein, aVR trend chart, aVL trend chart, aVF trend chart are respectively made of ST values obtained by aVR, aVL, aVF leads. The starting position time of the abscissa axis of the ST trend chart is T0, the pixel position is P0, and the pixel position of a certain target pixel selection position (i.e., abnormal ST value) is P1, and the corresponding time of the target pixel selection position is t1=t0+f (P1-P0). Where F represents data per unit time included in each pixel, the conversion relationship between time and pixel point is t=f×p.

Taking heart rate variability information as an example, the following description will be given:

in some embodiments, heart rate variability index parameters are extracted from the electrocardiographic parameters corresponding to the electrocardiographic segments, and heart rate variability information is analyzed according to the heart rate variability index parameters. Wherein the heart rate variability index parameter comprises a time domain index parameter and a frequency domain index parameter. The time domain index parameters include at least one of SDNN, SDANN, RMSSD, SDSD, NN, PNN50, TINN, SDNN index, HRV triangular index, and the frequency domain index parameters include at least one of HF, VLF, LF, ULV.

The heart rate variability (heart rate variability, HRV) index parameters corresponding to each cardiac cycle are determined according to the characteristic parameters, and the heart rate variability index parameters comprise a time domain analysis method and a frequency domain analysis method. The time domain analysis method is to apply a mathematical statistics index to perform time domain measurement on the HRV, and comprises a simple method and a statistical method; the frequency domain method or the frequency spectrum analysis method is based on the principle that the random variation RR interval or instantaneous heart rate signal is decomposed into frequency domain components with various different energies for analysis, and the activity level of the cardiac sympathetic nerve and the vagus nerve can be estimated simultaneously.

Taking HRV time domain analysis as an example for illustration:

the sinus RR interval of the cardiac cycle in the time domain is also referred to as NN interval. The computer is used for identifying the QRS waves of the electrocardiosignals obtained by the synchronous multi-lead electrocardiogram recording of 5 minutes, 15 minutes, 30 minutes or longer, the non-sinus QRS waves are removed, the electrocardiosignals are digitized, and a series of mathematical statistics indexes related to RR intervals are obtained.

The SDNN in the time domain index parameter represents standard deviation, namely standard deviation of all NN intervals, and the unit is ms. The HRV triangle index represents the total number of NN intervals divided by the height of the NN interval histogram. The standard for the abscissa scale interval is 7.8125ms (i.e., 1/128 s) and is dimensionless when computing the NN interval histogram. The SDANN is to divide all NN intervals into a plurality of time periods (for example, 24 hours, 288 total periods) continuously according to the time sequence of the records, calculate the average value of NN intervals in each interval period, and calculate the standard deviation of the average values in ms. RMSSD represents the root mean square value in ms of the difference between the adjacent NN intervals throughout. SDNN means that all NN intervals recorded are divided into a plurality of time periods continuously according to the time sequence of the records, standard deviation of NN intervals in each time period is calculated, and then average value of the standard deviations is calculated, wherein the unit is ms. SDSD represents the standard deviation of the difference between the overall adjacent NN interval lengths in ms. NN50 represents how many pairs of adjacent NN intervals differ by more than 50ms in units of heart beat number in the recording of all NN intervals. pNN50 represents the number of NN50 divided by the total NN interval, expressed as a percentage. TINN represents the base width of the resulting approximate triangle in ms when the histogram of NN intervals is approximately described in triangles using the method of minimum variance.

FIG. 11 is a diagram of an embodiment of a trend graph of time domain indicators in an electrocardiographic analysis graph, as shown in FIG. 11. The time domain index trend graph comprises a trend graph formed by four time domain index parameters. From top to bottom, an SDNN trend graph, a PNN50 trend graph, an RMSSD trend graph and an SDNN index trend graph are respectively obtained. Specifically, the abscissa of the SDNN trend graph represents a number of time periods, and the ordinate represents an average value of NN intervals in ms. The abscissa of the PNN50 trend graph represents time T, and the ordinate represents NN50 divided by the number of total NN intervals. The abscissa of the RMSSD trend graph represents time T, and the ordinate represents the root mean square value of the difference between the entire adjacent NN intervals in ms. The abscissa of the SDNN exponential trend chart represents time T, and the ordinate represents the standard deviation of all NN intervals in ms.

Taking HRV frequency domain analysis as an example for illustration:

the HRV frequency domain analysis method is to perform Fast Fourier Transform (FFT) or autoregressive parametric model (AR) operation on a relatively stable RR interval or instantaneous heart rate variation signal (usually more than 256 heart beat points) in a cardiac cycle of a time domain to obtain a power spectrogram with frequency (Hz) as an abscissa and power spectral density as an ordinate for analysis.

The frequency domain index parameter comprises HF, VLF, LF and ULV, wherein HF, VLF and ULV in the frequency domain index parameters represent high-frequency-band power, VLF and ULV of the heart rate variability signal, the VLF and LF represent very low-frequency-band power of the heart rate variability signal, respectively. Optionally, the heart rate variability frequency domain indicator parameter may further comprise LFNorm representing normalized low-band power of the heart rate variability signal, HFNORM representing normalized high-band power of the heart rate variability signal, LF/HF representing the ratio of LF to HF, and total power representing the variation of the total NN interval.

FIG. 12 is a diagram of an embodiment of a trend graph of frequency indicators in an electrocardiographic analysis map, as shown in FIG. 12. The frequency domain index trend graph comprises a trend graph formed by four frequency domain index parameters. From top to bottom, there are HF trend graphs, VLF trend graphs, LF trend graphs, ULV index trend graphs, respectively. In particular, the abscissa of the HF trend graph represents the time T and the ordinate represents the high-band power of the heart rate variability signal. The abscissa of the VLF trend graph represents time T and the ordinate represents the very low band power of the heart rate variability signal. The abscissa of the LF trend graph represents the time T and the ordinate represents the low-band power of the heart rate variability signal. The abscissa of the ULF trend graph represents time T and the ordinate represents the ultra-low band power of the heart rate variability signal.

In another embodiment, the electrocardiographic abnormality information can be further processed, and the electrocardiographic abnormality information is made into a graph or a table, so that the electrocardiographic information can be further visualized for subsequent analysis and processing.

Referring to fig. 13, fig. 13 is a flow chart illustrating an embodiment of step 122 a. The determining corresponding electrocardiographic abnormality information according to the feature parameters in step 122a may specifically include the following steps as an electrocardiographic analysis result:

step 131: and analyzing the characteristic parameters to determine corresponding electrocardiographic abnormality information.

Specifically, corresponding electrocardiographic abnormality information is determined according to at least one of a cardiac cycle type, a cardiac cycle position, an RR interval, a heart rate, a P-wave parameter, and a Q-wave parameter in the characteristic parameters.

Step 132: and drawing an electrocardiographic analysis chart/table showing the change trend of electrocardiographic abnormality information along with time as an electrocardiographic analysis result.

For the electrocardio analysis table, corresponding electrocardio abnormal information and electrocardio abnormal information data thereof can be determined according to the characteristic parameters, and the electrocardio abnormal information data are drawn into the corresponding electrocardio analysis table, wherein an electrocardio analysis chart/table is used for representing the change trend of the electrocardio abnormal information along with time. The electrocardiographic anomaly information data comprise an electrocardiographic information acquisition range, an electrocardiographic information acquisition time, electrocardiographic parameters corresponding to electrocardiographic fragments and electrocardiographic events determined according to the electrocardiographic parameters. The electrocardiographic parameters corresponding to the electrocardiographic fragments comprise at least one of average heart rate, slowest heart rate, heart beat type, heart beat position, interval parameters, waveform parameters, fastest heart rate and total number of heart beats, and the electrocardiographic events comprise at least one of atrial premature beat, atrial speed, ventricular premature beat, single-shot ventricular premature beat, paired ventricular premature beat, ventricular speed and ventricular bivariate.

Referring to fig. 14, fig. 14 is a schematic diagram of an embodiment of an electrocardiograph. The electrocardiograph analysis table comprises acquisition time T1, time range R1, average heart rate, slowest heart rate, fastest heart rate, total number of heart beats, atrial premature beat, atrial speed, ventricular premature beat, single ventricular premature beat, paired ventricular premature beat, ventricular speed and ventricular bivariate of electrocardiograph information.

For the electrocardio information analysis chart, a corresponding electrocardio analysis chart can be drawn according to electrocardio abnormal information data in an electrocardio analysis table, wherein the electrocardio analysis chart/table is used for representing the change trend of electrocardio abnormal information along with time. The electrocardiographic analysis graph can comprise an electrocardiographic fragment and an electrocardiographic statistical graph which are correspondingly drawn by electrocardiographic abnormality information data. The electrocardiographic statistical image comprises a trend image, a superposition image, a scatter image, a histogram, an overview image, an electrocardiographic waveform and the like of electrocardiographic anomaly information data, and the electrocardiographic image segment can be a section of static electrocardiographic anomaly information data in the corresponding time range. Such as PP interval scatter plots, PR interval scatter plots, left ventricular high voltage plots, or atrioventricular block plots, etc. In an embodiment, the PP interval and RR interval of the electrocardiographic anomaly information data may be connected to each other by a corresponding value within a period of acquisition time to form an electrocardiographic trend analysis chart.

Taking a trend chart of electrocardiographic abnormality information data as an example for explanation:

referring to fig. 15, fig. 15 is a schematic diagram of an embodiment of an electrocardiographic anomaly information data trend chart. Wherein, the abscissa represents the time sequence of the electrocardiographic abnormality information data, the ordinate represents the interval time, the solid line represents the PP interval trend graph, and the dotted line represents the RR interval trend graph. The PP interval RR interval trend comparison graph shows the comparison of the PP interval and RR interval respectively with the time relation.

Taking a scatter diagram of electrocardiographic abnormality information data as an example, the following description will be given:

referring to fig. 16, fig. 16 is a schematic diagram of an embodiment of a scatter plot of electrocardiographic anomaly information data. Determining a target interval associated with the P wave according to the P wave parameter of the electrocardiographic abnormality information data; and establishing a target interval scatter diagram by taking the previous target interval in the cardiac cycle as a first coordinate and the next target interval as a second coordinate. As shown in FIG. 16, the former PP interval P0-P is plotted on the abscissa, and the latter PP interval P1-P is plotted on the ordinate, and the PP interval scattergram is plotted.

Alternatively, the scatter plots displaying the electrocardiographic abnormality information data may further include a PR interval scatter plot, a RP interval scatter plot, a PP interval/RR interval ratio scatter plot, an RR interval/PP interval ratio scatter plot, a PP interval difference scatter plot, and the like.

Taking the histogram of electrocardiographic anomaly information data as an example:

referring to fig. 17, fig. 17 is a schematic diagram of an embodiment of a histogram of electrocardiographic anomaly information data. Determining a target interval associated with the P wave according to the P wave parameter of the electrocardiographic abnormality information data; and establishing a target interval histogram by taking the target interval as a first coordinate and the number of cardiac cycles as a second coordinate. As shown in fig. 17, a PP interval histogram is plotted with the P-P interval on the abscissa and the number of cardiac cycles on the ordinate.

It will be appreciated that each bin in the histogram represents a range of PP intervals, and that the height of each bin represents the number of cardiac cycles corresponding to a time-of-PP interval.

Of course, the above-mentioned several scatter diagrams and histograms are only for example, and in other embodiments, the scatter diagrams and histograms corresponding to PP interval, RR interval, PR interval, and RP interval, respectively, may also be included, which are not illustrated here.

Step 13: and displaying an electrocardiographic analysis result, a blood pressure analysis result and a body position analysis result on the same screen.

In some embodiments, in response to the electrocardiographic analysis result being an electrocardiographic anomaly, the same screen displays an electrocardiographic analysis result corresponding to the electrocardiographic anomaly, a blood pressure analysis result corresponding to a time of the electrocardiographic anomaly, and a body position analysis result.

By simultaneously displaying the electrocardio analysis result corresponding to the electrocardio abnormality, the blood pressure analysis result corresponding to the electrocardio abnormality time and the body position analysis result when the electrocardio is abnormal, the blood pressure analysis result corresponding to the electrocardio abnormality time and the body position analysis result can be intuitively known, the comprehensive consideration can be conveniently carried out by combining the blood pressure analysis result and the body position analysis result, and the accuracy of the subsequent analysis is improved.

In some embodiments, in response to the blood pressure analysis result being a blood pressure abnormality, the same screen displays a blood pressure analysis result corresponding to the blood pressure abnormality, an electrocardiographic analysis result corresponding to the time of the blood pressure abnormality, and a body position analysis result.

By displaying the blood pressure analysis result corresponding to the blood pressure abnormality, the electrocardio analysis result corresponding to the time of the blood pressure abnormality and the body position analysis result on the same screen when the blood pressure is abnormal, the electrocardio analysis result corresponding to the time of the blood pressure abnormality and the body position analysis result can be intuitively known, comprehensive consideration can be conveniently carried out by combining the electrocardio analysis result and the body position analysis result, and the accuracy of subsequent analysis is improved.

In some embodiments, in response to the body position analysis result being a body position abnormality, the body position analysis result corresponding to the body position abnormality, the blood pressure analysis result corresponding to the time of the body position abnormality, and the electrocardiographic analysis result are displayed on the same screen.

For example, when the user moves severely, the limb movement is changed greatly, the acquired body position data exceeds the body position data threshold value, and the body position analysis result can be determined to be abnormal.

For example, when a user suddenly falls, the center of gravity of the body changes, and the user collides with the contact surface after falling, and a corresponding force is generated. The gravity acceleration in the body position data acquired at the moment changes, when the change of the gravity acceleration exceeds a threshold value, the user can be determined to suddenly fall down, and the body position analysis result is that the body position is abnormal.

By displaying the body position analysis result corresponding to the body position abnormality, the blood pressure analysis result corresponding to the time of the body position abnormality and the electrocardio analysis result on the same screen when the body position is abnormal, the blood pressure analysis result corresponding to the time of the body position abnormality and the electrocardio analysis result can be intuitively known, the blood pressure analysis result and the electrocardio analysis result can be conveniently combined for comprehensive consideration, and the accuracy of subsequent analysis is improved.

In some embodiments, the electrocardiographic analysis result, the blood pressure analysis result and the body position analysis result are displayed on the same screen, and meanwhile, whether the electrocardiographic analysis result is an electrocardiographic abnormality is judged.

Further, in response to the electrocardiograph analysis result being an electrocardiograph abnormality, marking and displaying the electrocardiograph analysis result displayed at the position corresponding to the electrocardiograph abnormality. For example, the electrocardiographic abnormality position is marked with a red arrow.

The electrocardiographic analysis result is displayed in a marked mode at the position corresponding to the electrocardiographic abnormality, so that the electrocardiographic abnormality time can be intuitively positioned.

Referring to fig. 18, fig. 18 is a flow chart illustrating an embodiment of step 13. Step 13 may specifically include the following steps:

step 181: displaying a graph/table corresponding to the blood pressure analysis result, wherein the graph/table corresponding to the blood pressure analysis result comprises a trend of change of blood pressure characteristic parameters corresponding to the blood pressure analysis result along with time, and the blood pressure characteristic parameters comprise at least one of diastolic pressure, systolic pressure and pulse rate value.

As shown in fig. 19, fig. 19 is a schematic diagram of a human-computer interface of a first embodiment in which the electrocardiographic analysis result, the blood pressure analysis result, and the body position analysis result are displayed on the same screen. The menu bar is displayed on the top side of the human-computer interface, and the blood pressure analysis chart and the blood pressure analysis meter are sequentially displayed on the left side and the right side of the lower side of the menu bar. The blood pressure analysis chart is a circadian rhythm chart converted from diastolic pressure data and systolic pressure data in a blood pressure information table and a blood pressure scatter chart converted from pulse rate values. A is the circadian trend of diastolic pressure, and B is the circadian trend of systolic pressure.

Alternatively, in other embodiments, other single or multiple blood pressure analysis graphs or tables may be displayed in a recombination mode, or only a single or multiple blood pressure analysis graphs or tables may be displayed in a human-computer interface. The specific limitation is not particularly limited herein.

Step 182: and responding to a selection instruction of one characteristic parameter in the graph/table corresponding to the blood pressure analysis result, and displaying an electrocardiographic analysis result and a body position analysis result which are synchronous with the selected characteristic parameter on the same screen.

Specifically, the human-computer interface of the display device of the biological detection information responds to a selection instruction of a certain position or a certain characteristic parameter in the blood pressure analysis chart/table, and the display device of the biological detection information displays the corresponding electrocardiographic analysis result and the body position analysis result which have the same sampling time as the selected characteristic parameter on the same screen. The electrocardio analysis result comprises determining corresponding electrocardio abnormality information and an electrocardio analysis chart/table according to the corresponding characteristic parameters. The body position analysis result comprises a body position analysis table corresponding to the body position state analyzed according to a plurality of groups of data acquisition time, the limb movement joint angle and the joint angle differential value.

As shown in fig. 20, fig. 20 is a schematic diagram of a human-computer interface for displaying the electrocardiographic analysis result, the blood pressure analysis result and the body position analysis result on the same screen.

The human-computer interface comprises a menu bar, wherein the menu bar is displayed on the top side of the human-computer interface, and a blood pressure analysis chart, an electrocardiographic analysis chart and a body position analysis table are sequentially displayed on the lower side of the menu bar. The blood pressure analysis chart is a circadian rhythm chart formed by converting diastolic pressure data and systolic pressure data in a blood pressure information table. The electrocardiographic analysis chart is a scatter chart of electrocardiographic abnormality information data and a histogram of electrocardiographic abnormality information data.

Optionally, an electrocardiographic analysis result and a body position analysis result corresponding to the sampling time of the selected characteristic parameter may respectively set a parameter threshold or a parameter interval, and when electrocardiographic information or body position information exceeds the set parameter threshold or parameter interval, a distinguishing mark is added in the electrocardiographic information or body position information and displayed on the man-machine interface, so as to remind a user of abnormality of the electrocardiographic information or body position information. And the method can also be used for reminding the user that the electrocardiographic information or the body position information is more abnormal in the part in the modes of jumping out the popup window characters or the splash screen in the human-computer interface after the electrocardiographic information or the body position information is more than a certain quantity.

Optionally, a dotted line selection may also be supported in the human-machine interface. The specific operation steps are that a human-computer interface responds to a click command of a certain target position in a graph corresponding to a blood pressure analysis result, a click line corresponding to the target position is displayed, and blood pressure characteristic parameters of the corresponding position are displayed on the click line. Clicking any position in the blood pressure analysis chart, and simultaneously popping up a suspension window or adding a window on a human-computer interface to present the blood pressure characteristic parameters of the position, and presenting the value of the point on the clicking line.

As shown in fig. 21, fig. 21 is a schematic diagram of a human-computer interface for displaying the results of electrocardiographic analysis, blood pressure analysis and body position analysis on the same screen. The human-computer interface comprises a menu bar, wherein the menu bar is displayed on the top side of the human-computer interface, and a blood pressure analysis chart, an electrocardiographic analysis chart and a body position analysis table are sequentially displayed on the lower side of the menu bar. Wherein, the blood pressure analysis chart is a blood pressure scatter chart converted from pulse rate values. The electrocardiographic analysis chart is a scatter chart of electrocardiographic abnormality information data and a histogram of electrocardiographic abnormality information data. And responding to a clicking instruction on a T1 target position in the blood pressure scattered point trend chart by the human-computer interface, displaying a point selection line corresponding to the T1, displaying the values of the systolic pressure and the diastolic pressure of the corresponding positions on the point selection line, popping up a suspension window to suspend and display the blood pressure characteristic parameters adjacent to the target position, and coarsely distinguishing the target blood pressure characteristic parameters.

Compared with the prior art, the application provides an electrocardio-blood pressure linkage display method, which comprises the following steps: acquiring electrocardiographic information and blood pressure information; analyzing the electrocardiographic information to obtain a corresponding electrocardiographic analysis result, analyzing the blood pressure information to obtain a corresponding blood pressure analysis result, and analyzing the body position information to obtain a corresponding body position analysis result; and displaying an electrocardiographic analysis result, a blood pressure analysis result and a body position analysis result on the same screen. By means of the method, on one hand, the body position information, the blood pressure information and the electrocardio information are subjected to linkage detection and analysis, so that the analyzed body position analysis result, the blood pressure analysis result and the electrocardio analysis result are more scientific and valuable; on the other hand, a plurality of human-computer interface display modes and selection modes can be selected, and the body position analysis result, the blood pressure analysis result and the electrocardio analysis result are displayed in a human-computer interface in an associated mode, so that the electrocardio information and the blood pressure information can be analyzed, and meanwhile, the body position information is referred to for combined analysis, and therefore, the electrocardio information and the blood pressure information can be conveniently compared and analyzed, and the electrocardio-blood pressure combined detection and analysis efficiency and accuracy are improved.

Referring to fig. 22, fig. 22 is a flowchart illustrating another embodiment of a method for displaying biological detection information according to the present application. The method comprises the following steps:

step 221: and acquiring electrocardiographic information, blood pressure information and body position information acquired by the wearable equipment.

Step 221 has the same or similar technical scheme as any of the above embodiments, and will not be described herein.

Step 222: and displaying electrocardiographic information, blood pressure information and body position information on the same screen.

By displaying the electrocardiograph information, the blood pressure information and the body position information on the same screen, a user can observe the electrocardiograph information, the blood pressure information and the body position information at the same time, and the operation of the user when the electrocardiograph information, the blood pressure information and the body position information are required to be acquired is reduced.

In other embodiments, this embodiment may be combined with the steps of any of the embodiments described above to form a new embodiment.

Referring to fig. 23, fig. 23 is a flow chart of another embodiment of a method for displaying biological detection information according to the present application. The method comprises the following steps:

step 231: and acquiring electrocardiographic information, blood pressure information and body position information acquired by the wearable equipment.

Step 232: and analyzing the electrocardio information to obtain a corresponding electrocardio analysis result, or analyzing the blood pressure information to obtain a corresponding blood pressure analysis result, or analyzing the body position information to obtain a corresponding body position analysis result.

Steps 231 to 232 have the same or similar technical solutions as any of the above embodiments, and are not described herein.

In other embodiments, the electrocardiographic information may be analyzed simultaneously to obtain a corresponding electrocardiographic analysis result, the blood pressure information may be analyzed to obtain a corresponding blood pressure analysis result, and the body position information may be analyzed to obtain a corresponding body position analysis result.

Step 232: the first information, the second information and the third information are displayed on the same screen, the first information comprises at least one of electrocardiographic information and electrocardiographic analysis results, the second information comprises at least one of blood pressure information and blood pressure analysis results, and the third information comprises at least one of body position information and body position analysis results.

In some embodiments, electrocardiographic information, blood pressure information, and posture information may be displayed on the same screen.

In some embodiments, the electrocardiographic analysis results, the blood pressure analysis results, and the posture analysis results may be displayed on the same screen.

In some embodiments, electrocardiographic information, blood pressure information, posture information, electrocardiographic analysis results, blood pressure analysis results, and posture analysis results may be displayed on the same screen.

In some embodiments, the electrocardiographic information, the posture information, the electrocardiographic analysis results, the blood pressure analysis results, and the posture analysis results may be displayed on the same screen.

In some embodiments, electrocardiography, blood pressure information, electrocardiography analysis results, blood pressure analysis results, and body position analysis results may be displayed on the same screen.

In some embodiments, at least one of the electrocardiographic information, the electrocardiographic analysis results, and at least one of the blood pressure information, the blood pressure analysis results, and at least one of the posture information, the posture analysis results are displayed on a same screen.

By means of the method, on one hand, the body position information, the blood pressure information and the electrocardio information are subjected to linkage detection and analysis, so that the analyzed body position analysis result, the blood pressure analysis result and the electrocardio analysis result are more scientific and valuable; on the other hand, a plurality of human-computer interface display modes and selection modes can be selected, at least one of the electrocardio information and the electrocardio analysis result, at least one of the blood pressure information and the blood pressure analysis result and at least one of the body position information and the body position analysis result are displayed in a human-computer interface in a correlated mode, so that the electrocardio information and the blood pressure information can be analyzed and simultaneously the combined analysis can be carried out by referring to the body position information, the comparison analysis of the electrocardio information and the blood pressure information is facilitated, and the efficiency and the accuracy of the combined detection and analysis of the electrocardio and the blood pressure are improved.

Referring to fig. 24, fig. 24 is a schematic structural diagram of an embodiment of a wearable device according to the present application, where the wearable device 240 includes: an electrocardiographic data interface 241, a blood pressure data interface 242, a posture data interface 243, and a controller 244.

The electrocardiograph data interface 241 is used for connecting an electrocardiograph acquisition component worn on a living body to acquire electrocardiograph information acquired by the electrocardiograph acquisition component.

The blood pressure data interface 242 is used for connecting with a blood pressure acquisition component worn on a living body to acquire blood pressure information acquired by the blood pressure acquisition component.

The body position data interface 243 is used for connecting with a body position acquisition component worn on the living body to acquire body position information acquired by the body position acquisition component.

The controller 244 is connected to the electrocardiographic data interface 241, the blood pressure data interface 242 and the body position data interface 243, and is configured to analyze electrocardiographic information to obtain a corresponding electrocardiographic analysis result, analyze blood pressure information to obtain a corresponding blood pressure analysis result, and analyze body position information to obtain a corresponding body position analysis result; and displaying the electrocardio analysis result, the blood pressure analysis result and the body position analysis result on the same screen.

In some embodiments, the wearable device 240 is capable of implementing the solution of any of the embodiments described above.

Referring to fig. 25, fig. 25 is a schematic structural diagram of another wearable device according to an embodiment of the present application, where the wearable device 250 includes: an electrocardiographic data interface 251, a blood pressure data interface 252, a posture data interface 253, and a controller 254.

The electrocardiograph data interface 251 is used for connecting an electrocardiograph acquisition component worn on a living body to acquire electrocardiograph information acquired by the electrocardiograph acquisition component.

The blood pressure data interface 252 is used for connecting with a blood pressure acquisition component worn on a living body to acquire blood pressure information acquired by the blood pressure acquisition component.

The body position data interface 253 is used for connecting with a body position acquisition component worn on a living body so as to acquire body position information acquired by the body position acquisition component.

The controller 254 is connected to the electrocardiographic data interface 251, the blood pressure data interface 252 and the body position data interface 253, and is configured to analyze electrocardiographic information to obtain a corresponding electrocardiographic analysis result, analyze blood pressure information to obtain a corresponding blood pressure analysis result, or analyze body position information to obtain a corresponding body position analysis result; and displaying first information, second information and third information on the same screen, wherein the first information comprises at least one of electrocardiographic information and electrocardiographic analysis results, the second information comprises at least one of blood pressure information and blood pressure analysis results, and the third information comprises at least one of body position information and body position analysis results.

In some embodiments, the wearable device 250 is capable of implementing the solution of any of the embodiments described above.

Referring to fig. 26, fig. 26 is a schematic structural diagram of a display device for biological detection information according to the present application, where the display device 100 for biological detection information includes a processor 101 and a memory 102 connected to the processor 101, where the memory 102 stores program data, and the processor 101 retrieves the program data stored in the memory 102 to execute the above-mentioned method for displaying biological detection information.

The display device 100 for biological detection information may be a comprehensive detection and display device, which may include functions such as electrocardiographic detection, blood pressure detection, ultrasonic detection, or nuclear magnetic detection, and has a human-machine interface for displaying electrocardiographic information, blood pressure information, ultrasonic data information, or nuclear magnetic data information. For example, the electrocardiograph blood pressure linkage display device 100 can be applied to a large diagnosis and treatment technology in a hospital, can be a portable small electrocardiograph blood pressure display device, can be conveniently worn on a human body, and can acquire and display body position information, electrocardiograph information and blood pressure information of the human body according to preset rules.

Optionally, in an embodiment, the processor 101 is configured to execute the program data to implement the following method: acquiring electrocardiographic information, blood pressure information and body position information acquired by wearable equipment; analyzing the electrocardiographic information to obtain a corresponding electrocardiographic analysis result, analyzing the blood pressure information to obtain a corresponding blood pressure analysis result, and analyzing the body position information to obtain a corresponding body position analysis result; displaying an electrocardiographic analysis result, a blood pressure analysis result and a body position analysis result on the same screen;

or acquiring electrocardiographic information, blood pressure information and body position information acquired by the wearable equipment; and displaying electrocardiographic information, blood pressure information and body position information on the same screen.

The processor 101 may also be referred to as a CPU (Central Processing Unit ). The processor 101 may be an electronic chip with signal processing capabilities. Processor 101 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 102 may be a memory bank, a TF card, etc., and may store all information in the electrocardiograph blood pressure linkage display device 100, including input raw data, a computer program, intermediate operation results, and final operation results, which are all stored in the memory 102. It stores and retrieves information based on the location specified by the processor 101. With the memory 102, the electrocardiograph blood pressure linkage display device 100 has a memory function, so that normal operation can be ensured. The memory 102 of the electrocardiographic blood pressure linkage display device 100 may be classified into a main memory (memory) and an auxiliary memory (external memory) according to the purpose, and may be classified into an external memory and an internal memory. The external memory is usually a magnetic medium, an optical disk, or the like, and can store information for a long period of time. The memory refers to a storage component on the motherboard for storing data and programs currently being executed, but is only used for temporarily storing programs and data, and the data is lost when the power supply is turned off or the power is turned off.

In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the embodiment of the electrocardiographic blood pressure linkage display device 100 described above is merely illustrative, for example, the manner in which the electrocardiographic analysis chart/table and the blood pressure analysis chart/table are displayed on the human-computer interface, or the selection of the sampling time of the blood pressure information and the display of the corresponding portion of the electrocardiographic analysis result are merely a manner of aggregation, and other manners of partitioning may be actually implemented, for example, multiple electrocardiographic analysis charts/tables and blood pressure analysis charts/tables may be combined or may be aggregated into another system, or some features may be omitted or not performed.

In addition, each functional unit (such as an electrocardiograph information collector, a blood pressure information collector, a human-computer interface or an input module for data collection and the like) in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

Referring to fig. 27, fig. 27 is a schematic structural diagram of an embodiment of a computer readable storage medium provided in the present application, where the computer readable storage medium 110 stores program instructions 111 capable of implementing all the methods described above.

The units integrated with the functional units in the various embodiments of the present application may be stored in the computer-readable storage medium 110 if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or all or part of the technical solution in the form of a software product, and the computer readable storage medium 110 includes several instructions in a program instruction 111 to enable a computer device (which may be a personal computer, a system server, or a network device, etc.), an electronic device (such as MP3, MP4, etc., also a mobile terminal such as a mobile phone, a tablet computer, a wearable device, etc., also a desktop computer, etc.), or a processor (to perform all or part of the steps of the methods of the embodiments of the present application.

Optionally, in an embodiment, the program instructions 111 when executed by the processor are configured to implement the following method: acquiring electrocardiographic information, blood pressure information and body position information acquired by wearable equipment; analyzing the electrocardiographic information to obtain a corresponding electrocardiographic analysis result, analyzing the blood pressure information to obtain a corresponding blood pressure analysis result, and analyzing the body position information to obtain a corresponding body position analysis result; displaying an electrocardiographic analysis result, a blood pressure analysis result and a body position analysis result on the same screen;

In some embodiments, in any of the above methods, the on-screen display is triggered only when abnormal features, such as some unobvious abnormal waveforms, such as the peak and trough in the cardiac cycle, the P-wave, the position and amplitude of the ST segment, etc., are identified, and at this time, the part displayed on the same screen greatly reduces the workload of a doctor for comparing and analyzing all the blood pressure data and the electrocardiographic data, and the part displayed on the same screen has more clinical value.

The method comprises the steps that a doctor analyzes all electrocardiographic data and blood pressure data, identifies abnormal characteristics, and then manually calls out the data to display the data on the same screen; or through training a model, the abnormal characteristics can be intelligently identified so as to call the data of the corresponding time period and display the data on the same screen.

In some embodiments, in any of the above methods, only the blood pressure data and the electrocardiographic data in the abnormal time period are displayed on the same screen, for example, in a 24-hour acquired data map, only the data in the abnormal time period are displayed, and the data corresponding to the normal time period are not displayed, so that the portion of the blood pressure data and the electrocardiographic data in the abnormal time period, which are manually analyzed by a doctor, are more clinically valuable.

In some embodiments, the blood pressure data and the electrocardiographic data can be associated with each other based on the method of any one of the above embodiments; and association analysis in two data analysis; and associated display when two kinds of data are displayed; and associated exports when both data are exported. Wherein the two data displays include displaying a scatter plot, a histogram, a trend plot, a data table, a single data analysis result, a comparison data analysis result, and the like.

In some embodiments, in any of the above methods, the electrocardiographic data may be first analyzed to identify various anomalies of the electrocardiographic data, such as several anomalies of cardiac variability, several anomalies of atrial fibrillation, several anomalies of P-waves, and several anomalies of ST-segments); classifying various anomalies; finally, the blood pressure data of several abnormal categories with clinical value and corresponding time periods are displayed on the same screen, and the workload of doctors for comparing and analyzing all blood pressure data and electrocardio data is greatly reduced by the part displayed on the same screen, so that the doctor can conveniently perform manual analysis and the part displayed on the same screen has more clinical value.

In an application scene, a user wears the wearable device to acquire data in a hospital, outdoors and at home, the wearable device identifies abnormal characteristics of the data, and when the abnormal characteristics are identified, the corresponding abnormal data are sent to a doctor through a cloud for manual analysis so as to obtain advice fed back by the doctor, so that the workload of the doctor for comparing and analyzing all blood pressure data and electrocardiograph data is greatly reduced, the doctor can conveniently analyze the data manually, and the transmitted data has clinical analysis value. Through the mode, the wearable device sends the corresponding abnormal data to the doctor system through the cloud, so that the transmission quantity of the wearable device to the data can be reduced, the requirement on communication hardware of the wearable device is reduced, and the cost of the wearable device can be reduced. Further, the loss rate in the data transmission process can be reduced by the smaller data transmission quantity, and the effectiveness of the data is improved. Further, because the corresponding abnormal data is sent to the doctor system through the cloud, interaction with the cloud can be reduced by the wearable device, battery power is saved, and service time of the wearable device is prolonged.

In an application scene, a user wears the wearable device to collect data in a remote measurement mode in a hospital, outdoors and at home and send the collected data to the cloud in real time, the cloud identifies abnormal characteristics of the data, and when the abnormal characteristics are identified, the corresponding abnormal data are sent to a doctor system through the cloud to be manually analyzed, so that advice fed back by the doctor system is obtained, the workload of a doctor for comparing and analyzing all blood pressure data and electrocardio data is greatly reduced, manual analysis is conveniently carried out by the doctor, and the transmitted data has clinical analysis value.

In summary, the method, the device, the equipment and the readable storage medium in any of the embodiments of the present application can solve the technical problem that the blood pressure data, the electrocardiographic data and the body position data need to be compared and analyzed under specific conditions.

The foregoing description is only of embodiments of the present application, and is not intended to limit the scope of the application, and all equivalent structures or equivalent processes using the descriptions and the drawings of the present application or directly or indirectly applied to other related technical fields are included in the scope of the present application.

Claims

1. A method of displaying biological test information, the method comprising:

acquiring electrocardiographic information, blood pressure information and body position information acquired by wearable equipment;

analyzing the electrocardiograph information to obtain a corresponding electrocardiograph analysis result, analyzing the blood pressure information to obtain a corresponding blood pressure analysis result, and analyzing the body position information to obtain a corresponding body position analysis result;

and displaying the electrocardio analysis result, the blood pressure analysis result and the body position analysis result on the same screen.

2. The method of claim 1, wherein the step of determining the position of the substrate comprises,

The same screen displays the electrocardiographic analysis result, the blood pressure analysis result and the body position analysis result, and comprises the following steps:

responding to the electrocardio analysis result as an electrocardio abnormality, and displaying the electrocardio analysis result corresponding to the electrocardio abnormality, a blood pressure analysis result corresponding to the electrocardio abnormality time and a body position analysis result on the same screen; or (b)

Responding to the blood pressure analysis result as blood pressure abnormality, and displaying the blood pressure analysis result corresponding to the blood pressure abnormality, the electrocardio analysis result corresponding to the time of the blood pressure abnormality and the body position analysis result on the same screen; or (b)

And responding to the body position analysis result as a body position abnormality, and displaying the body position analysis result corresponding to the body position abnormality, the blood pressure analysis result corresponding to the time of the body position abnormality and the electrocardio analysis result on the same screen.

3. The method of claim 2, wherein the step of determining the position of the substrate comprises,

the step of analyzing the electrocardiograph information to obtain a corresponding electrocardiograph analysis result comprises the following steps:

extracting characteristic parameters from the electrocardiographic information;

analyzing the characteristic parameters to obtain corresponding electrocardiographic abnormality information as an electrocardiographic analysis result; the electrocardiographic abnormality information comprises at least one of ventricular premature information, atrial fibrillation information, ST interval information, atrial premature information, ventricular bigeminal rate information, ventricular rate information and heart rate variability information.

4. The method of claim 3, wherein the step of,

the characteristic parameters comprise at least one of cardiac cycle type, cardiac cycle position, interval, heart rate, P-wave parameter and Q-wave parameter, the heart rate variability information comprises SDNN with a value smaller than 50, the atrial fibrillation information comprises initial atrial fibrillation or paroxysmal atrial fibrillation, and the atrial fibrillation information corresponds to P-wave disappearance or replacement by irregular f-wave, or irregular RR interval, or atrial fibrillation frequency is 350-600 times/min.

5. The method of claim 3, wherein the step of,

the step of analyzing the characteristic parameters to obtain corresponding electrocardiographic abnormality information, which is used as an electrocardiographic analysis result, comprises the following steps:

analyzing the characteristic parameters to determine corresponding electrocardiographic abnormality information;

and drawing an electrocardiographic analysis chart/table showing the change trend of the electrocardiographic abnormality information along with time as an electrocardiographic analysis result.

6. The method of claim 1, wherein the step of determining the position of the substrate comprises,

the same screen displaying the electrocardiographic analysis result, the blood pressure analysis result and the body position analysis result comprises the following steps:

the electrocardio analysis result, the blood pressure analysis result and the body position analysis result are displayed on the same screen, and meanwhile, whether the electrocardio analysis result is an electrocardio abnormality is judged;

And responding to the electrocardio analysis result as the electrocardio abnormality, and marking and displaying the electrocardio analysis result displayed at the position corresponding to the electrocardio abnormality.

7. The method of claim 1, wherein the step of determining the position of the substrate comprises,

displaying a graph/table corresponding to a blood pressure analysis result, wherein the graph/table corresponding to the blood pressure analysis result comprises a trend of change over time of a blood pressure characteristic parameter corresponding to the blood pressure analysis result, and the blood pressure characteristic parameter comprises at least one of diastolic pressure, systolic pressure and pulse rate value;

and responding to a selection instruction of one characteristic parameter in the graph/table corresponding to the blood pressure analysis result, and displaying an electrocardiographic analysis result and a body position analysis result which are synchronous with the selected characteristic parameter on the same screen.

8. The method of claim 7, wherein the step of determining the position of the probe is performed,

the method further comprises the steps of:

and responding to a click command of a target position in the graph corresponding to the blood pressure analysis result, displaying a click line corresponding to the target position, and displaying the blood pressure characteristic parameters of the corresponding position on the click line.

9. The method of claim 1, wherein the step of determining the position of the substrate comprises,

10. A method of displaying biological test information, the method comprising:

and displaying the electrocardio information, the blood pressure information and the posture information on the same screen.

11. A method of displaying biological test information, the method comprising:

analyzing the electrocardiograph information to obtain a corresponding electrocardiograph analysis result, or analyzing the blood pressure information to obtain a corresponding blood pressure analysis result, or analyzing the body position information to obtain a corresponding body position analysis result;

the method comprises the steps of displaying first information, second information and third information on the same screen, wherein the first information comprises at least one of electrocardiographic information and electrocardiographic analysis results, the second information comprises at least one of blood pressure information and blood pressure analysis results, and the third information comprises at least one of body position information and body position analysis results.

12. A wearable device, the wearable device comprising:

the electrocardiograph data interface is used for connecting an electrocardiograph acquisition component worn on a living body to acquire electrocardiograph information acquired by the electrocardiograph acquisition component;

the blood pressure data interface is used for connecting a blood pressure acquisition component worn on a living body to acquire blood pressure information acquired by the blood pressure acquisition component;

the body position data interface is used for connecting a body position acquisition component worn on a living body to acquire body position information acquired by the body position acquisition component;

the controller is connected with the electrocardio data interface, the blood pressure data interface and the body position data interface and is used for analyzing the electrocardio information to obtain a corresponding electrocardio analysis result, analyzing the blood pressure information to obtain a corresponding blood pressure analysis result and analyzing the body position information to obtain a corresponding body position analysis result; and displaying the electrocardio analysis result, the blood pressure analysis result and the body position analysis result on the same screen.

13. A wearable device, the wearable device comprising:

the controller is connected with the electrocardio data interface, the blood pressure data interface and the body position data interface and is used for analyzing the electrocardio information to obtain a corresponding electrocardio analysis result, or analyzing the blood pressure information to obtain a corresponding blood pressure analysis result, or analyzing the body position information to obtain a corresponding body position analysis result; and displaying first information, second information and third information on the same screen, wherein the first information comprises at least one of the electrocardiographic information and the electrocardiographic analysis result, the second information comprises at least one of the blood pressure information and the blood pressure analysis result, and the third information comprises at least one of the body position information and the body position analysis result.

14. A display device for biological detection information, characterized in that the display device comprises a processor and a memory connected to the processor, wherein program data are stored in the memory, and the processor retrieves the program data stored in the memory to execute the method according to any of claims 1-11.

15. A computer readable storage medium having stored therein program instructions, wherein the program instructions are executed to implement the method of any of claims 1-11.