Method and apparatus for analyzing atrial fibrillation burden

By acquiring physiological signals from monitored subjects, differentiating atrial fibrillation types, and analyzing hemodynamic parameters, the problem of insufficient intuitiveness in atrial fibrillation burden assessment in existing technologies has been solved, enabling comprehensive assessment of atrial fibrillation prognosis and accurate analysis of risk events.

CN114073500BActive Publication Date: 2025-12-16SHENZHEN MINDRAY BIO MEDICAL ELECTRONICS CO LTD
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Patent Information

Application Number
CN202010834885.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2020-08-17
Publication Date
2025-12-16
Estimated Expiration
2040-12-16

AI Technical Summary

Technical Problem

Existing methods for assessing atrial fibrillation burden are rather one-sided, neglecting the immediate cumulative impact of atrial fibrillation events on the cardiovascular system, which makes it impossible for healthcare professionals to accurately assess prognosis and the risk of dangerous events.

Method used

By acquiring physiological signals from monitored subjects, including Type I physiological parameter data for identifying atrial fibrillation and Type II physiological parameter data for hemodynamic analysis, the types of atrial fibrillation are distinguished, including those with abnormal hemodynamic changes and those with normal hemodynamic changes. The hemodynamic parameters are comprehensively reflected, and detailed atrial fibrillation analysis results are provided.

Benefits of technology

Healthcare professionals can more comprehensively assess the prognosis of atrial fibrillation and the risk of dangerous events in monitored subjects, and provide more intuitive analytical tools.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The application discloses an atrial fibrillation load analysis method and an analysis device. The analysis method comprises the following steps: acquiring a physiological signal of a monitoring object, wherein the physiological signal at least comprises first physiological parameter data for identifying atrial fibrillation and second physiological parameter data for hemodynamic analysis; determining a preset time window; identifying whether the monitoring object has atrial fibrillation in the preset time window according to the acquired first physiological parameter data; performing hemodynamic analysis on the monitoring object in the period of each occurrence of atrial fibrillation in the preset time window according to the acquired second physiological parameter data, and obtaining a hemodynamic analysis result; and distinguishing the type of each atrial fibrillation according to the hemodynamic analysis result, wherein the type of the atrial fibrillation at least comprises an abnormal blood flow change type of atrial fibrillation and a normal blood flow change type of atrial fibrillation.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical treatment, in particular to a method and device for analyzing atrial fibrillation burden. BACKGROUND

[0002] Atrial fibrillation, for short, atrial fibrillation, is a relatively common arrhythmia. With age, the prevalence, frequency of occurrence, etc. of atrial fibrillation also gradually increases. Among them, the elderly (according to different definition standards, generally referring to people over 60 years old or 65 years old) are the high-risk groups of atrial fibrillation. In order to evaluate the degree of harm of atrial fibrillation to the monitoring object, the percentage of the total duration of atrial fibrillation occurring in a predetermined monitoring period is generally defined as the atrial fibrillation burden. Generally speaking, the higher the atrial fibrillation burden, the worse the prognosis of the patient, and the greater the risk of stroke or cardiovascular damage. Based on this, the atrial fibrillation burden has become a hot technology in biomedical and clinical engineering research in recent years, and it is of great value to analyze and present the atrial fibrillation burden on the monitor. The premise of the analysis and presentation of the atrial fibrillation burden is to monitor the electrocardiogram of the patient for a long time and continuously, so as to record the relevant information of the atrial fibrillation event of the monitoring object. The monitoring device may be, for example, an implantable electrocardiogram detection device or a patch-type electrocardiogram recorder, etc. Such application scenarios make the continuous monitoring period of atrial fibrillation increase from a few days to even a few years.

[0003] However, the atrial fibrillation burden quantified based on the duration of atrial fibrillation on the electrocardiogram and its proportion is only from the perspective of cardiac electrophysiology and time statistics to describe the characteristics of the occurrence and distribution of atrial fibrillation, and does not reflect the adaptability and tolerance of the patient's heart to the atrial fibrillation event. In other words, the traditional analysis and presentation method of atrial fibrillation burden is somewhat one-sided, ignoring the immediate cumulative impact of atrial fibrillation events on the human cardiovascular system, that is, not comprehensively considering the hemodynamic characteristics of the patient when atrial fibrillation occurs, so that medical staff cannot accurately assess the prognosis of atrial fibrillation events and the risk of other dangerous events. SUMMARY

[0004] The purpose of the present application is to provide a method and device for analyzing atrial fibrillation burden to solve the problem that the existing evaluation and presentation method of atrial fibrillation burden is one-sided and not intuitive.

[0005] In order to solve the above technical problems, the present application provides a method for analyzing atrial fibrillation burden, comprising:

[0006] Physiological signals of the monitored subject are acquired, including at least a first type of physiological parameter data for identifying atrial fibrillation and a second type of physiological parameter data for hemodynamic analysis. A preset time window is determined. Based on the acquired first type of physiological parameter data, atrial fibrillation is identified within the preset time window. Based on the acquired second type of physiological parameter data, hemodynamic analysis is performed on the monitored subject during each period of atrial fibrillation within the preset time window to obtain hemodynamic analysis results. Based on the hemodynamic analysis results, the type of atrial fibrillation is distinguished, and the type of atrial fibrillation includes at least atrial fibrillation with abnormal blood flow and atrial fibrillation with normal blood flow.

[0007] In some embodiments, the timing information of atrial fibrillation occurring in the monitored object within the preset time window is analyzed to obtain atrial fibrillation analysis results. The atrial fibrillation analysis results include at least one of the following: the occurrence time of each type of atrial fibrillation, the duration of each type of atrial fibrillation, the percentage of duration of each type of atrial fibrillation within the preset time window, the percentage of duration of each type of atrial fibrillation within the total duration of all atrial fibrillation, the number of occurrences of each type of atrial fibrillation within the preset time window, the total duration of all atrial fibrillation, the percentage of total duration of all atrial fibrillation within the preset time window, and the total number of occurrences of all atrial fibrillation within the preset time window.

[0008] In some embodiments, the analysis method further includes displaying at least one of the atrial fibrillation analysis results.

[0009] In some embodiments, the atrial fibrillation analysis results are presented using at least one of the following statistical charts: an overall trend chart of atrial fibrillation occurrence, a trend chart of occurrence of each type of atrial fibrillation, a comprehensive statistical chart of atrial fibrillation, and a statistical chart of each type of atrial fibrillation.

[0010] In some embodiments, the at least one statistical chart includes one or a combination of histograms, bar charts, box plots, line graphs, scatter plots, line graphs, pie charts, and donut charts.

[0011] In some embodiments, the analysis method further includes: using one or a combination of different colors, textures, patterns, or other methods to display different types of atrial fibrillation in the at least one statistical chart.

[0012] In some embodiments, the analysis method further includes displaying at least one of the following: the waveform of the first type of physiological parameter data and / or its corresponding parameter value; the waveform of the second type of physiological parameter data and / or its corresponding parameter value; and the hemodynamic analysis results.

[0013] In some embodiments, the hemodynamic analysis of the monitoring subject is performed according to the acquired second type of physiological parameter data in each episode of atrial fibrillation within the preset time window, to obtain a hemodynamic analysis result, including: determining whether the acquired second type of physiological parameter data in each episode of atrial fibrillation within the preset time window exceeds a corresponding preset threshold. If the preset threshold is exceeded, the hemodynamic analysis result of the episode of atrial fibrillation is determined to be abnormal blood flow change. If the preset threshold is not exceeded, the hemodynamic analysis result of the episode of atrial fibrillation is determined to be normal blood flow change.

[0014] In some embodiments, the type of each episode of atrial fibrillation is distinguished according to the hemodynamic analysis result, including: when the hemodynamic analysis result is abnormal blood flow change, the type of the episode of atrial fibrillation is determined to be abnormal blood flow change type atrial fibrillation. When the hemodynamic analysis result is normal blood flow change, the type of the episode of atrial fibrillation is determined to be normal blood flow change type atrial fibrillation.

[0015] In some embodiments, the first type of physiological parameter includes at least one of the following: electrocardiogram, blood oxygen, invasive blood pressure, and non-invasive blood pressure.

[0016] In some embodiments, the second type of physiological parameter includes at least one of the following: electrocardiogram, blood oxygen, invasive blood pressure, non-invasive blood pressure, blood flow, oxygen metabolism, and tissue perfusion.

[0017] In some embodiments, the first type of physiological parameter data and the second type of physiological parameter data are the same, partially the same, or completely different.

[0018] In some embodiments, the hemodynamic analysis result involves at least one of the following parameters: arterial pressure, venous pressure, tissue perfusion index, pulmonary artery impaction pressure, mean pulmonary artery pressure, heart rate value, hemoglobin content, cardiac output, stroke volume, ejection fraction, cardiac index, stroke volume index, systemic circulation resistance index, pulmonary circulation resistance index, right ventricular work index, left ventricular work index, oxygen delivery, oxygen consumption, and oxygen uptake rate.

[0019] The application also provides an atrial fibrillation load analysis device, comprising: at least one sensor configured to acquire physiological signals of a monitoring subject, the physiological signals comprising at least first physiological parameter data for identifying atrial fibrillation and second physiological parameter data for hemodynamic analysis; and a processor configured to: determine a preset time window; identify whether the monitoring subject has atrial fibrillation in the preset time window according to the acquired first physiological parameter data; perform hemodynamic analysis on the monitoring subject in each atrial fibrillation period in the preset time window according to the acquired second physiological parameter data, to obtain hemodynamic analysis results; and distinguish the type of each atrial fibrillation according to the hemodynamic analysis results, wherein the type of atrial fibrillation at least comprises abnormal hemodynamic change type atrial fibrillation and normal hemodynamic change type atrial fibrillation.

[0020] The application also provides an atrial fibrillation load analysis device, comprising: a communication interface configured to acquire physiological signals of a monitoring subject collected by a sensor, the physiological signals comprising at least first physiological parameter data for identifying atrial fibrillation and second physiological parameter data for hemodynamic analysis; and a processor configured to: determine a preset time window; identify whether the monitoring subject has atrial fibrillation in the preset time window according to the acquired first physiological parameter data; perform hemodynamic analysis on the monitoring subject in each atrial fibrillation period in the preset time window according to the acquired second physiological parameter data, to obtain hemodynamic analysis results; and distinguish the type of each atrial fibrillation according to the hemodynamic analysis results, wherein the type of atrial fibrillation at least comprises abnormal hemodynamic change type atrial fibrillation and normal hemodynamic change type atrial fibrillation.

[0021] In some embodiments, the processor is further configured to: analyze time information of atrial fibrillation of the monitoring subject in the preset time window, to obtain atrial fibrillation analysis results, wherein the atrial fibrillation analysis results at least comprise any one of the following: occurrence time of each type of atrial fibrillation, duration of each type of atrial fibrillation, duration proportion of each type of atrial fibrillation in the preset time window, duration proportion of each type of atrial fibrillation in the total duration of all atrial fibrillation, occurrence number of each type of atrial fibrillation in the preset time window, total duration of all atrial fibrillation, total duration proportion of all atrial fibrillation in the preset time window, and total occurrence number of all atrial fibrillation in the preset time window.

[0022] In some embodiments, the analysis device further comprises a display configured to display at least one of the atrial fibrillation analysis results.

[0023] In some embodiments, the display is specifically configured to present the results of the atrial fibrillation analysis by at least one of a statistical chart, including a total occurrence trend chart of atrial fibrillation, an occurrence trend chart of each type of atrial fibrillation, a comprehensive statistical chart of atrial fibrillation, and a statistical chart of each type of atrial fibrillation.

[0024] In some embodiments, the at least one statistical chart includes one or a combination of a histogram, a bar chart, a box plot, a curve chart, a scatter plot, a line chart, a pie chart, and a ring chart.

[0025] In some embodiments, the display is specifically configured to display each type of atrial fibrillation in the at least one statistical chart by using one or a combination of different colors, textures, and patterns.

[0026] In some embodiments, the display is further configured to display at least one of a waveform of the first type of physiological parameter data and / or a corresponding parameter value thereof, a waveform of the second type of physiological parameter data and / or a corresponding parameter value thereof, and a result of the hemodynamic analysis.

[0027] In some embodiments, the processor is specifically configured to determine whether the second type of physiological parameter data acquired during each occurrence of atrial fibrillation within the preset time window exceeds a corresponding preset threshold. If the preset threshold is exceeded, the hemodynamic analysis result of the occurrence of atrial fibrillation is determined to be abnormal blood flow change. If the preset threshold is not exceeded, the hemodynamic analysis result of the occurrence of atrial fibrillation is determined to be normal blood flow change.

[0028] In some embodiments, the processor is specifically configured to determine the type of the occurrence of atrial fibrillation to be abnormal blood flow change type when the hemodynamic analysis result is abnormal blood flow change, and to determine the type of the occurrence of atrial fibrillation to be normal blood flow change type when the hemodynamic analysis result is normal blood flow change.

[0029] In some embodiments, the first type of physiological parameter includes at least one of electrocardiogram, blood oxygen, invasive blood pressure, and non-invasive blood pressure.

[0030] In some embodiments, the second type of physiological parameter includes at least one of electrocardiogram, blood oxygen, invasive blood pressure, non-invasive blood pressure, blood flow, oxygen metabolism, and tissue perfusion.

[0031] In some embodiments, the first type of physiological parameter data is the same as, partially the same as, or completely different from the second type of physiological parameter data.

[0032] In some embodiments, the parameters involved in the hemodynamic analysis result include at least one of the following: arterial pressure, venous pressure, tissue perfusion index, pulmonary artery impaction pressure, mean pulmonary artery pressure, heart rate value, hemoglobin content, cardiac output, stroke volume, ejection fraction, cardiac index, stroke volume index, systemic circulation resistance index, pulmonary circulation resistance index, right ventricular work index, left ventricular work index, oxygen delivery, oxygen consumption, and oxygen uptake rate.

[0033] The present application distinguishes the types of atrial fibrillation events occurring in a preset time window of a monitoring subject, and comprehensively reflects the hemodynamic parameters related to the monitoring subject when each atrial fibrillation occurs. Based on this, medical personnel can more comprehensively evaluate the prognosis of atrial fibrillation of the monitoring subject and analyze the risk of dangerous events. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 is a structural block diagram of an atrial fibrillation load analysis device according to an embodiment of the present application.

[0035] Figure 2 is a display interface of a display according to an embodiment of the present application, in which a statistical chart of atrial fibrillation analysis results is presented.

[0036] Figure 3 is a total occurrence trend chart of atrial fibrillation according to an embodiment of the present application.

[0037] Figure 4 is a comprehensive statistical chart of atrial fibrillation according to an embodiment of the present application.

[0038] Figure 5 is a bar chart of the order of occurrence of atrial fibrillation according to an embodiment of the present application.

[0039] Figure 6 is a structural block diagram of an atrial fibrillation load analysis device according to another embodiment of the present application.

[0040] Figure 7 is a flowchart of an atrial fibrillation load analysis method according to an embodiment of the present application. DETAILED DESCRIPTION

[0041] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application.

[0042] The atrial fibrillation load analysis method and analysis device provided by the embodiments of the present application can distinguish the types of atrial fibrillation events occurring in a preset time window of a monitoring subject, and comprehensively reflect the hemodynamic parameters related to the monitoring subject when each atrial fibrillation occurs. Thus, medical personnel can more comprehensively evaluate the prognosis of atrial fibrillation of the monitoring subject and analyze the risk of dangerous events.

[0043] In the process of long-term and continuous monitoring of the monitoring object by using the monitoring device, when the monitoring device identifies the occurrence of atrial fibrillation, the monitoring device records the duration of the occurrence of the atrial fibrillation, the time of the occurrence, and the like. It should be understood that, in a period of time, the monitoring object can have multiple occurrences of atrial fibrillation, and the duration of each occurrence of atrial fibrillation can be different. For example, in 24 hours, the durations of two occurrences of atrial fibrillation of the monitoring object are 25 minutes and 1 hour and 35 minutes, respectively. It can be seen that the duration of the second occurrence of atrial fibrillation is longer than that of the first occurrence of atrial fibrillation.

[0044] In clinical practice, in order to evaluate the degree of harm of atrial fibrillation to the monitoring object, the percentage of the total duration of the occurrence of atrial fibrillation in a period of time is generally defined as the atrial fibrillation burden. From one perspective, the atrial fibrillation burden defined in this way is a normalization of the total duration of the occurrence of atrial fibrillation; based on this, medical staff can judge the occurrence condition of atrial fibrillation of the monitoring object in the period of time. The heavier the atrial fibrillation burden is, the worse the physical condition of the monitoring object is, and the higher the risk of dangerous events such as stroke or cardiovascular injury is.

[0045] From another perspective, atrial fibrillation is mainly a disease related to the heart, and the heart is an important organ of the circulatory system. In the duration of each occurrence of atrial fibrillation, the atrium jumps at a high frequency and irregularly, which is easy to cause a certain degree of fluctuation in parameters related to the heart and blood flow. These parameters can be, for example, arterial pressure (such as mean arterial pressure), venous pressure (such as central venous pressure), tissue perfusion index, pulmonary artery impaction pressure (also known as pulmonary artery wedge pressure), and the like.

[0046] However, the current definition of the atrial fibrillation burden only describes the characteristics of the occurrence and distribution of atrial fibrillation from the perspective of cardiac electrophysiology and time statistics. That is, the atrial fibrillation burden defined in this way embodies less information, and ignores the immediate involvement of the occurrence of atrial fibrillation on the cardiovascular system of the human body. Based on the information provided by the atrial fibrillation burden defined in this way, the analysis of the monitoring object by medical staff is relatively one-sided. It should be understood that the fluctuation of the above-mentioned parameters related to the heart and blood flow cannot be seen from the atrial fibrillation burden defined in this way, which to some extent affects the evaluation of the prognosis of atrial fibrillation of the monitoring object by medical staff and the analysis of the risk of dangerous events. Dangerous events can be, for example, stroke, systemic embolism, heart failure, and other cardiovascular injuries.

[0047] For example, in the duration of a certain occurrence of atrial fibrillation, the monitoring object detects that the heart rate is inconsistent with the pulse rate, and the mean arterial pressure is high. However, based on the current definition of the atrial fibrillation burden, medical staff can only obtain the relative proportion of the duration of the occurrence of atrial fibrillation, and cannot obtain the information of the above-mentioned heart rate, pulse rate, and mean arterial pressure; this also leads to that medical staff cannot well grasp the relevant situation of the monitoring object.

[0048] Reference is made to Figure 1 , based on the above problems, the embodiment of the present application provides an atrial fibrillation load analysis device 10, which distinguishes the types of atrial fibrillation events occurring in a preset time window of a monitoring object, comprehensively reflects the hemodynamic parameters related to the monitoring object when each atrial fibrillation occurs, so that medical personnel can more comprehensively evaluate the atrial fibrillation prognosis of the monitoring object and analyze the risk of dangerous events. In some embodiments, the atrial fibrillation load analysis device 10 can be a bedside monitor or a wearable monitor. The analysis device 10 includes a sensor 20 and a processor 30. The sensor 20 can collect physiological signals of the monitoring object to analyze the physical condition of the monitoring object. Among them, the number of sensors 20 can be one, two or more. The type of sensor 20 can be, for example, an oximetry sensor or an electrocardiogram sensor; the oximetry sensor can obtain signals related to blood oxygen of the monitoring object; the electrocardiogram sensor can obtain signals related to electrocardiogram of the monitoring object. The physiological signals obtained by the sensor 20 can be transmitted to the processor 30 by wireless or wired means for related processing by the processor 30.

[0049] In some embodiments, the connection between the sensor 20 and the processor 30 can be wired connection. For example: the sensor 20 and the processor 30 are both components of a monitor. Correspondingly, the analysis device 10 can be a device applied to a monitor; or the analysis device 10 can be a monitor. In other embodiments, the analysis device 10 can be a central station, which obtains physiological signals of the monitoring object collected by the sensor through a communication interface to realize analysis of atrial fibrillation load.

[0050] In other embodiments, the connection between the sensor 20 and the processor 30 can also be wireless connection. For example: the physiological signals obtained by the sensor 20 can be transmitted to the processor 30 through WiFi, Bluetooth or ZigBee, etc. Correspondingly, the analysis device 10 can include at least two monitors. It should be understood that one monitor obtains physiological signals through a sensor, and the physiological signals are transmitted to another monitor through wireless connection, and the processor of the other monitor processes the physiological signals for atrial fibrillation identification, etc. In other embodiments, the atrial fibrillation load analysis device 10 can be a central station, at this time, the central station does not include a sensor, instead, the central station includes a communication interface, which obtains physiological signals collected by a sensor connected to the monitoring object through the communication interface.

[0051] Applicable to the analysis device 10 of the present application, the physiological signal mainly includes the first type of physiological parameter data and the second type of physiological parameter data. Among them, the first type of physiological parameter data and the second type of physiological parameter data can be processed in different aspects; the first type of physiological parameter data can be used to identify atrial fibrillation, and the second type of physiological parameter data can be used to perform hemodynamic analysis, and then distinguish the type of atrial fibrillation according to the hemodynamic analysis result.

[0052] As described above, atrial fibrillation is mainly related to the heart, and the heart is an important organ that promotes blood flow in the human body; therefore, in the analysis device 10 of each embodiment of the present application, since the distinction of the type of atrial fibrillation is based on hemodynamics, the classified atrial fibrillation can more fully reflect the fluctuation of the physiological parameter data related to atrial fibrillation, so as to help medical personnel understand the atrial fibrillation load of the monitoring object. Specifically, according to whether the hemodynamic parameter of the monitoring object is abnormal when the monitoring object has an atrial fibrillation event, the atrial fibrillation of the monitoring object is then distinguished into two types: hemodynamic change abnormal type atrial fibrillation and hemodynamic change normal type atrial fibrillation, that is, in the present application, the case where the fluctuation of the hemodynamic parameter is within the clinically considered normal range is called hemodynamic change normal, and the case where the fluctuation of the hemodynamic parameter is within the clinically considered abnormal range is called hemodynamic change abnormal. When the monitoring object has an atrial fibrillation event, if its hemodynamic parameter is normal, the type of the atrial fibrillation event is classified as "hemodynamic change normal type atrial fibrillation", and when the monitoring object has an atrial fibrillation event, if its hemodynamic parameter is abnormal, the type of the atrial fibrillation event is classified as "hemodynamic change abnormal type atrial fibrillation". Thus, when observing the evaluation and analysis results of the atrial fibrillation event, medical personnel can also understand the hemodynamic parameter characteristics of the monitoring object at each atrial fibrillation event, which is more intuitive and convenient, and helps medical personnel to comprehensively evaluate the atrial fibrillation of the monitoring object.

[0053] It should be understood that hemodynamics is a science that studies the movement characteristics and regularity of blood and its components in the body, and blood flow is a concentrated form of blood movement in the body. Hemodynamic parameters refer to blood flow parameters related to the circulatory system, including parameters related to blood volume, blood flow pressure, blood flow velocity, etc., as well as characteristic parameters obtained by calculating one or more of the parameters. In each embodiment, the hemodynamic parameter is a parameter obtained by analyzing the second type of physiological parameter data.

[0054] Table 1 is a common hemodynamic parameter.

[0055] Table 1

[0056]

[0057]

[0058] The hemodynamic parameters exemplified in the above table are all parameters related to blood circulation flow. When atrial fibrillation occurs, these hemodynamic parameters are also likely to fluctuate with the occurrence of atrial fibrillation; therefore, based on these hemodynamic parameters to distinguish atrial fibrillation, medical personnel can better grasp the physical condition of the monitoring object, so as to better evaluate the prognosis of atrial fibrillation and analyze the risk of events such as stroke, systemic embolism, heart failure, etc.

[0059] In some embodiments, the processor 30 can set a corresponding preset time window, and monitor the monitoring object in cycles of the preset time window. It should be understood that the preset time window can be selected or custom-set based on the frequency of the onset of the monitoring object and the medical history and other factors. That is, the preset time windows of different monitoring objects can be the same or different.

[0060] For example: the monitoring object has frequent atrial fibrillation, and the frequency of drug adjustment is high, so a shorter preset time window (such as 1h or 4h, etc.) can be set to relatively frequently feedback the condition of the monitoring object.

[0061] For example: the monitoring object does not have frequent atrial fibrillation (such as a single atrial fibrillation lasting for a long time), so a longer preset time window (such as 12h or 24h, etc.) can be set to less frequently feedback the condition of the monitoring object.

[0062] In some embodiments, the processor 30 can determine the preset time window in response to the operation of a user (such as a medical staff, a monitoring object or a family member thereof). Within the preset time window, the processor 30 identifies whether the monitoring object has atrial fibrillation based on the acquired first type of physiological parameter data.

[0063] It should be understood that within the preset time window, if it is identified that the monitoring object has atrial fibrillation, the processor 30 can also control the alarm to issue an alarm for reminding.

[0064] In some embodiments, the first type of physiological parameter data at least includes any one of the following: electrocardiogram, blood oxygen, invasive blood pressure and non-invasive blood pressure. It should be understood that the mainstream technology for identifying atrial fibrillation is through electrocardiogram parameters. However, in recent years, the academic and industrial circles have gradually proposed to identify atrial fibrillation based on physiological parameter data such as blood oxygen and blood pressure alone; or to identify atrial fibrillation by combining at least one of the physiological parameter data of blood oxygen and blood pressure with electrocardiogram. Therefore, based on at least one of the physiological parameter data of electrocardiogram, blood oxygen, invasive blood pressure and non-invasive blood pressure, the processor 30 can identify whether the monitoring object has atrial fibrillation at the current time.

[0065] In some embodiments, based on the acquired second type of physiological parameter data, the processor 30 performs hemodynamic analysis on the monitoring subject in each period of occurrence of atrial fibrillation within the preset time window, thereby obtaining a hemodynamic analysis result. Based on the hemodynamic analysis result, the processor 30 classifies the atrial fibrillation occurring within the preset time window; wherein the type of atrial fibrillation at least includes abnormal blood dynamic change type atrial fibrillation and normal blood dynamic change type atrial fibrillation.

[0066] The abnormal blood dynamic change type atrial fibrillation is a short form of hemodynamic parameter change abnormal type atrial fibrillation. The abnormal blood dynamic change type atrial fibrillation refers to the atrial fibrillation whose hemodynamic parameter change exceeds the corresponding preset threshold.

[0067] The normal blood dynamic change type atrial fibrillation is a short form of hemodynamic parameter change normal type atrial fibrillation. The normal blood dynamic change type atrial fibrillation refers to the atrial fibrillation whose hemodynamic parameter change does not exceed the corresponding preset threshold.

[0068] In some embodiments, in order to perform hemodynamic analysis, the second type of physiological parameter at least includes any one of the following: electrocardiogram, blood oxygen, invasive blood pressure, non-invasive blood pressure, blood flow, oxygen metabolism and tissue perfusion. It should be understood that the second type of physiological parameter data includes the first type of physiological parameter data; that is, the physiological parameter data used to identify atrial fibrillation can also be used for hemodynamic analysis.

[0069] In some embodiments, the first type of physiological parameter data and the second type of physiological parameter data can be the same, partially the same or completely different in terms of identifying atrial fibrillation and performing hemodynamic analysis, and the present application does not limit this. It should be understood that when the first type of physiological parameter data is the same as or partially the same as the second type of physiological parameter data, the first type of physiological parameter data which is at least partially the same as the second type of physiological parameter data is used to generate various hemodynamic parameters in the aspect of hemodynamic analysis; that is, the part of the first type of physiological parameter data can be used for hemodynamic parameter analysis, for example, for analyzing the hemodynamic parameters as shown in Table 1.

[0070] In some embodiments, in the aspect of hemodynamic analysis, the processor 30 is specifically configured to determine whether the acquired second type of physiological parameter data exceeds the corresponding preset threshold in each period of occurrence of atrial fibrillation within the preset time window. It should be understood that based on the type of the second type of physiological parameter data and the conditions of the preset threshold, the exceeding of the corresponding preset threshold can refer to being higher than the corresponding preset threshold or being lower than the corresponding preset threshold.

[0071] For example, it is determined whether the acquired heart rate is higher than a corresponding upper threshold of heart rate; or, it is determined whether the acquired hemoglobin content (also referred to as hemoglobin concentration) is lower than a corresponding lower threshold of hemoglobin content; or, it is determined whether the acquired mean arterial pressure is lower than a lower threshold of mean arterial pressure; or, it is determined whether the acquired cardiac output is lower than a lower threshold of cardiac output; and so on.

[0072] In some embodiments, if the second type of physiological parameter data exceeds the corresponding preset threshold, it is determined that the hemodynamic analysis result of the current occurrence of atrial fibrillation is blood dynamic change abnormality. That is, the fluctuation of the hemodynamic parameter is large and exceeds the corresponding preset threshold. This indicates that the condition of the monitoring object is more critical and the load of atrial fibrillation is heavier.

[0073] Based on the hemodynamic analysis result of blood dynamic change abnormality, the processor 30 can determine that the type of the current occurrence of atrial fibrillation is blood dynamic change abnormality type atrial fibrillation, so that the monitoring object can be timely paid attention to and valued by medical personnel.

[0074] In some embodiments, if the second type of physiological parameter data does not exceed the corresponding preset threshold, it is determined that the hemodynamic analysis result of the current occurrence of atrial fibrillation is blood dynamic change normal. That is, the fluctuation of the hemodynamic parameter is small and does not exceed the corresponding preset threshold. This indicates that the condition of the monitoring object is relatively mild and the load of atrial fibrillation is lighter.

[0075] Based on the hemodynamic analysis result of blood dynamic change normal, the processor 30 can determine that the type of the current occurrence of atrial fibrillation is blood dynamic change normal type atrial fibrillation, so that the monitoring object can be timely known by medical personnel.

[0076] According to the abnormal changes of different hemodynamic parameters, the analysis device 10 of each embodiment can also divide the atrial fibrillation into more than two types, not limited to blood dynamic change abnormality type atrial fibrillation and blood dynamic change normal type atrial fibrillation.

[0077] In some embodiments, in order to more comprehensively present the load of atrial fibrillation of the monitoring object, the processor 30 is further configured to analyze the time information of the occurrence of atrial fibrillation of the monitoring object within a preset time window to obtain an atrial fibrillation analysis result.

[0078] In some embodiments, the atrial fibrillation analysis result at least includes any one of the following: the occurrence time of each type of atrial fibrillation, the duration of each type of atrial fibrillation, the total duration of all atrial fibrillations, the duration proportion of each type of atrial fibrillation within the preset time window, the total duration proportion of all atrial fibrillations within the preset time window, the duration proportion of each type of atrial fibrillation within the duration of all atrial fibrillations, the number of occurrences of each type of atrial fibrillation within the preset time window, and the total number of occurrences of all atrial fibrillations within the preset time window. Wherein, all atrial fibrillations refer to the sum of each type of atrial fibrillation.

[0079] The following is understood by some examples, assuming that in the preset time window of 8:00~20:00, 12h, the occurrence of atrial fibrillation of a monitoring object is as follows:

[0080] The first atrial fibrillation lasts from 9:00 to 10:00, with a duration of 1h. Based on the second type of physiological parameter data, the processor 30 distinguishes that this atrial fibrillation is a blood flow change normal type atrial fibrillation.

[0081] The second atrial fibrillation lasts from 12:00 to 14:00, with a duration of 2h. Based on the second type of physiological parameter data, the processor 30 distinguishes that this atrial fibrillation is a blood flow change abnormal type atrial fibrillation.

[0082] The third atrial fibrillation lasts from 18:00 to 19:00, with a duration of 1h. Based on the second type of physiological parameter data, the processor 30 distinguishes that this atrial fibrillation is a blood flow change abnormal type atrial fibrillation.

[0083] It can be seen that for the occurrence number of each type of atrial fibrillation in the preset time window, the occurrence number of blood flow change normal type atrial fibrillation is once, and the occurrence number of blood flow change abnormal type atrial fibrillation is twice. The total occurrence number of all atrial fibrillation in the preset time window is three.

[0084] For the occurrence time of each type of atrial fibrillation, the occurrence time of blood flow change normal type atrial fibrillation is 9:00; the occurrence time of blood flow change abnormal type atrial fibrillation is 12:00 and 18:00, respectively.

[0085] For the duration of each type of atrial fibrillation, the duration of blood flow change normal type atrial fibrillation is 1h, and the duration of blood flow change abnormal type atrial fibrillation is 3h. The total duration of all atrial fibrillation is 4h.

[0086] For the duration ratio of each type of atrial fibrillation in the preset time window, the duration ratio of blood flow change normal type atrial fibrillation in the preset time window is 1 / 12, and the duration ratio of blood flow change abnormal type atrial fibrillation in the preset time window is 1 / 4. For the total duration ratio of all atrial fibrillation in the preset time window, the total duration ratio of the three atrial fibrillation in the preset time window is 1 / 3.

[0087] For the duration ratio of each type of atrial fibrillation in the total duration of all atrial fibrillation, the duration ratio of blood flow change normal type atrial fibrillation in the total duration of the three atrial fibrillation is 1 / 4, and the duration ratio of blood flow change abnormal type atrial fibrillation in the total duration of the three atrial fibrillation is 3 / 4.

[0088] Please refer to Figure 1In some embodiments, the analysis device 10 further comprises a display 40. The display 40 can visually present at least one result of the atrial fibrillation analysis for a medical staff to view. The display 40 can be, for example, a touch display 40, and the user can perform relevant operations by tapping the touch display 40, clicking a mouse, or the like. Alternatively, the display 40 can be, for example, a non-touch display 40, and the user can perform relevant operations by clicking a mouse, clicking a physical button, or the like.

[0089] It should be understood that when the analysis device 10 is a monitor or the analysis device 10 is applied to a monitor, the display 40 can refer to a display screen of the monitor.

[0090] Alternatively, the display 40 can refer to an extended screen of the monitor, which can be electrically connected to the monitor through a video line.

[0091] Alternatively, the display 40 can refer to a remote extended screen of the monitor, which can be wirelessly connected to the monitor through wireless communication. Based on this, the monitor can copy or extend the content displayed on the display screen to the remote extended screen. Accordingly, the remote extended screen can be arranged in another office area or another hospital area to improve the monitoring efficiency of the monitored object.

[0092] In some embodiments, when the number of displays 40 is at least two, the content presented by different displays 40 can be the same or different, which is not limited in the present application. For example, after a medical staff clicks a certain area of the display screen of the monitor, the detailed content of the area is displayed on the extended screen of the monitor.

[0093] In some embodiments, in order to more intuitively and clearly present the atrial fibrillation analysis result, the processor 30 can process the atrial fibrillation analysis result and present the result in the form of at least one statistical chart through the display 40.

[0094] In some embodiments, the at least one statistical chart includes, but is not limited to, a total occurrence trend chart of atrial fibrillation, an occurrence trend chart of each type of atrial fibrillation, a comprehensive statistical chart of atrial fibrillation, and a statistical chart of each type of atrial fibrillation.

[0095] In some embodiments, the type of the at least one statistical chart includes one of a histogram, a bar chart, a box plot, a curve chart, a scatter plot, a line chart, a pie chart, and a ring chart. Alternatively, the type of the at least one statistical chart includes any combination of a histogram, a bar chart, a box plot, a curve chart, a scatter plot, a line chart, a pie chart, and a ring chart.

[0096] For example, the total occurrence trend graph of atrial fibrillation can be presented by a histogram; or, the total occurrence trend graph of atrial fibrillation can be presented by a histogram and a pie chart. The occurrence trend graphs of the blood-dynamic abnormal type of atrial fibrillation and the blood-dynamic normal type of atrial fibrillation can be presented by a bar chart or a line chart. The blood-dynamic abnormal type of atrial fibrillation and the blood-dynamic normal type of atrial fibrillation can be integrated in the same bar chart, or can be presented by two bar charts respectively, and no limitation is imposed thereon.

[0097] It should be understood that different types of statistical graphs focus on different information, and based on the cooperation of the at least one statistical graph, the medical staff can intuitively and relatively comprehensively understand the atrial fibrillation load of the monitoring object in a short time, so as to evaluate the atrial fibrillation prognosis of the monitoring object and analyze the risk of occurrence of dangerous events.

[0098] In some embodiments, in the at least one statistical graph, different colors, textures, patterns or any combination thereof are used to display each type of atrial fibrillation. This can be adjusted according to actual conditions, and no limitation is imposed thereon. For example, for a color display 40, the interval of the blood-dynamic abnormal type of atrial fibrillation can be marked by red, the interval of the blood-dynamic normal type of atrial fibrillation can be marked by green, and the interval without occurrence of atrial fibrillation can be marked by white. Based on this, the different types of atrial fibrillation are marked by colors, textures, patterns, etc., which can facilitate the medical staff to distinguish the different types of atrial fibrillation, so as to better understand the condition of the monitoring object.

[0099] In some embodiments, the display 40 can display the atrial fibrillation analysis result in the main area of the screen, and when the medical staff clicks the interval of the corresponding atrial fibrillation in the display 40 by a mouse or a touch screen, the display 40 can also display at least one of the following in other areas of the screen:

[0100] The waveform of the first type of physiological parameter data and / or the parameter value corresponding to the first type of physiological parameter data;

[0101] The waveform of the second type of physiological parameter data and / or the parameter value corresponding to the second type of physiological parameter data;

[0102] The hemodynamic analysis result.

[0103] It should be understood that based on the processing of the first type of physiological parameter data, the waveform and / or parameter value corresponding to the first type of physiological parameter data can be extracted therefrom, and the atrial fibrillation can be further identified based on the processing result. Similarly, based on the processing of the second type of physiological parameter data, the waveform and / or parameter value corresponding to the second type of physiological parameter data can be extracted therefrom. For example, based on the processing of the electrocardiogram data, the electrocardiogram waveform and the ventricular rate, atrial rate and other parameter values can be obtained, and whether the monitoring object has atrial fibrillation can be further identified based on the processing result. The hemodynamic analysis result can be presented, for example, by displaying prompt words such as "abnormal blood flow change" and "normal blood flow change".

[0104] Based on this, the medical staff can simultaneously view the relevant information according to the actual needs while mastering the occurrence of the atrial fibrillation of the monitoring object, so as to more accurately evaluate the atrial fibrillation prognosis of the monitoring object and analyze the risk of dangerous events.

[0105] The following will be illustrated by the display interface of the display 40 and some statistical graphs.

[0106] Figure 2 FIG. 1 is a schematic diagram of a display interface of a display according to an embodiment of the present application. The display interface is mainly displayed in three areas: a statistical graph of the atrial fibrillation analysis result, a waveform playback area, and a hemodynamic parameter area. The waveform playback area can be used to present the waveform and / or corresponding parameter value of the first type of physiological parameter data and / or the second type of physiological parameter data; the hemodynamic parameter area can be used to present the hemodynamic analysis result. It should be understood that the display interface can only include the statistical graph of the atrial fibrillation analysis result, and does not necessarily include the waveform playback area and / or the hemodynamic parameter area. The waveform playback area and / or the hemodynamic parameter area can be hidden and displayed when needed by the user. The information included in the statistical graph includes the duration of each type of atrial fibrillation A, B, C, and the time proportion of the duration of each type of atrial fibrillation to the total time of all types of atrial fibrillation X%, Y%, Z%. It should be understood that, Figure 2 This is only a schematic illustration, and the specific values of the duration of each type of atrial fibrillation and the time proportion thereof are not given, but are replaced by A, B, C and X%, Y%, Z%. The types of atrial fibrillation include abnormal blood flow change type atrial fibrillation and normal blood flow change type atrial fibrillation, and all atrial fibrillations without distinguishing their types, so the statistical graph of the atrial fibrillation analysis result is the total occurrence trend graph of atrial fibrillation, the occurrence trend graph of abnormal blood flow change type atrial fibrillation, and the occurrence trend graph of normal blood flow change type atrial fibrillation.

[0107] The time information corresponding to the total occurrence trend graph of atrial fibrillation can include the total duration of all atrial fibrillations and the total duration proportion of all atrial fibrillations within a preset time window.

[0108] The time information corresponding to the blood flow change abnormal type atrial fibrillation can include the occurrence time of the blood flow change abnormal type atrial fibrillation, the duration of the blood flow change abnormal type atrial fibrillation, the duration ratio of the blood flow change abnormal type atrial fibrillation in the preset time window, the duration ratio of the blood flow change abnormal type atrial fibrillation in the duration of all atrial fibrillations, and the number of occurrences of the blood flow change abnormal type atrial fibrillation in the preset time window.

[0109] The time information corresponding to the blood flow change normal type atrial fibrillation can include the occurrence time of the blood flow change normal type atrial fibrillation, the duration of the blood flow change normal type atrial fibrillation, the duration ratio of the blood flow change normal type atrial fibrillation in the preset time window, the duration ratio of the blood flow change normal type atrial fibrillation in the duration of all atrial fibrillations, and the number of occurrences of the blood flow change normal type atrial fibrillation in the preset time window.

[0110] It should be understood that the time information of the atrial fibrillation mentioned above has been mentioned in the foregoing, but when the time information of these atrial fibrillations is presented in combination with the trend chart, the medical staff can relatively comprehensively grasp the onset condition of the monitoring object in the preset time window to evaluate the current atrial fibrillation burden of the monitoring object.

[0111] As described above, the type of the statistical chart of the atrial fibrillation analysis result includes but is not limited to one of a histogram, a bar chart, a box plot, a curve chart, a scatter chart, a line chart, a pie chart, and a ring chart; or the type of the at least one statistical chart includes any combination of the histogram, the bar chart, the box plot, the curve chart, the scatter chart, the line chart, the pie chart, and the ring chart. It should be understood that the total occurrence trend chart of the atrial fibrillation, the occurrence trend chart of the blood flow change abnormal type atrial fibrillation, and the occurrence trend chart of the blood flow change normal type atrial fibrillation can be presented in the form of any of the above charts, and do not necessarily have to be presented in the form of complete consistency.

[0112] Figure 3 is an example of the total occurrence trend chart of the atrial fibrillation of the statistical chart of the atrial fibrillation analysis result in an embodiment of the present application. In this embodiment, the total occurrence trend chart of the atrial fibrillation is presented in the form of a bar chart. Please refer to Figure 2 and Figure 3 The total occurrence trend chart of the atrial fibrillation is in the form of a rectangular bar, and the length represents the duration of the preset time window, wherein the blood flow change abnormal type atrial fibrillation is represented by a checkered color block, the blood flow change normal type atrial fibrillation is represented by a diagonal striped color block, and the time period without occurrence of the atrial fibrillation is represented by a blank color block. Figure 3It can be seen that, in a preset time period during which the atrial fibrillation events continuously occur, based on the analysis of the second type of physiological parameter data by the processor, the multiple atrial fibrillation events occurring in the preset time period are distinguished into the blood flow change normal type of atrial fibrillation and the blood flow change abnormal type of atrial fibrillation. Based on this, by looking at the total occurrence trend graph of the atrial fibrillation alone, the medical staff can relatively intuitively grasp the overall situation of the occurrence of the atrial fibrillation of the monitoring object in the preset time period, as well as the occurrence, proportion, distribution time and the like of the two different types of atrial fibrillation.

[0113] When the medical staff clicks a certain atrial fibrillation interval in the total occurrence trend graph of the atrial fibrillation by means of a mouse or a touch screen and the like, the waveform of the first type of physiological parameter data of the corresponding atrial fibrillation and / or the parameter value corresponding to the first type of physiological parameter data can be displayed in the waveform display area. The waveform of the second type of physiological parameter data and / or the parameter value corresponding to the second type of physiological parameter data can be displayed in the hemodynamic parameter area. Based on this, when the medical staff looks at the trend graph, the occurrence of the monitoring object in the preset time window can be relatively comprehensively mastered in combination with the hemodynamic parameter characteristics of the monitoring object, so as to evaluate the current atrial fibrillation load of the monitoring object.

[0114] In some embodiments, the hemodynamic parameter area can also display the hemodynamic analysis result. For example, the hemodynamic parameter area can display prompt information such as “blood flow change abnormal” or “blood flow change normal” to supplement the information of the corresponding atrial fibrillation interval.

[0115] For example, when the medical staff clicks the interval of the first blood flow change abnormal type of atrial fibrillation in the total occurrence trend graph of the atrial fibrillation, the waveform of the first type of physiological parameter data of the corresponding blood flow change abnormal type of atrial fibrillation and / or the parameter value corresponding to the first type of physiological parameter data can be displayed in the waveform playback area below. The waveform of the second type of physiological parameter data of the corresponding blood flow change abnormal type of atrial fibrillation and / or the parameter value corresponding to the second type of physiological parameter data can be displayed in the hemodynamic parameter area. In addition, the hemodynamic parameter area can also display prompt information such as “blood flow change abnormal”, so that based on the information of the waveform playback area and the hemodynamic parameter area, the medical staff can relatively quickly understand the relevant situation of the blood flow change abnormal type of atrial fibrillation.

[0116] Figure 4 The statistical graph of the atrial fibrillation analysis result is another embodiment of the present application, which jointly presents the total occurrence trend of the atrial fibrillation without distinguishing the type, the occurrence trend of the blood flow change abnormal type of atrial fibrillation and the occurrence trend of the blood flow change normal type of atrial fibrillation, and can be considered as a comprehensive statistical graph for presenting the atrial fibrillation event. Please refer to Figure 4The horizontal axis represents the duration classification of atrial fibrillation, and exemplary atrial fibrillation events are classified into five grades according to the duration, i.e., 0-30 s, 30-60 s, 60 s-1 h, 1-4 h, and 4 h-12 h. The vertical axis represents the total duration of the blood flow change abnormal type of atrial fibrillation and the blood flow change normal type of atrial fibrillation in each grade of atrial fibrillation events. Each grade of the horizontal axis exemplary includes the blood flow change abnormal type of atrial fibrillation and the blood flow change normal type of atrial fibrillation. The blood flow change abnormal type of atrial fibrillation is represented by a checkered block, the blood flow change normal type of atrial fibrillation is represented by a diagonal striped block, and the blank block represents a period without atrial fibrillation. However, in the actual monitoring process, each grade of the horizontal axis can only include the blood flow change abnormal type of atrial fibrillation or the blood flow change normal type of atrial fibrillation.

[0117] In some embodiments, the variables represented by the two axes can be interchanged, and the scales of the two axes can also not be equal scales, which are not limited in the present application. For example, the total duration axis can be a logarithmic coordinate axis, and the atrial fibrillation duration classification axis can be divided into different grades according to clinical experience, actual monitoring needs of the monitoring object, etc.

[0118] The five grades of 0-30 s, 30-60 s, 60 s-1 h, 1-4 h, and 4 h-12 h correspond to atrial fibrillation of different durations. It should be understood that other duration grades can also be set in the comprehensive statistical graph of atrial fibrillation, which are not limited. For example, 60 s-1 h can be re-divided into 60 s-30 min and 30 min-1 h.

[0119] Figure 5 The statistical graph of the atrial fibrillation analysis result is another embodiment of the present application, which is also a joint presentation of the total occurrence trend of atrial fibrillation, the occurrence trend of the blood flow change abnormal type of atrial fibrillation, and the occurrence trend of the blood flow change normal type of atrial fibrillation, and can be considered as a comprehensive statistical graph for presenting atrial fibrillation events. Compared with Figure 4 The difference is that, in Figure 5 , the duration of each occurrence of atrial fibrillation is not distinguished, but is statistically analyzed in chronological order. Each sustained occurrence of atrial fibrillation is counted as once from the beginning to the end, and thus a total of 15 occurrences of atrial fibrillation are counted as shown in Figure 5 , and the duration of the blood flow change abnormal type of atrial fibrillation and the blood flow change normal type of atrial fibrillation in each sustained occurrence of atrial fibrillation is counted. Specifically, Figure 5The horizontal coordinate in the bar chart represents the duration of atrial fibrillation, and is specifically divided into abnormal blood flow change type atrial fibrillation duration and normal blood flow change type atrial fibrillation duration, and the vertical coordinate represents the order of occurrence of atrial fibrillation. Among them, the checkered block represents the abnormal blood flow change type atrial fibrillation, and the diagonal striped block represents the normal blood flow change type atrial fibrillation. On this basis, medical personnel can also refer to other information of the monitoring object to evaluate the atrial fibrillation burden of the monitoring object. For example: Is the preset time window corresponding to the bar chart from the morning to noon or from noon to afternoon? Or, in the preset time window corresponding to the bar chart, does the monitoring object have a certain amount of exercise or drug conditioning.

[0120] Notably, Figure 5 The vertical coordinate of the bar chart presents the occurrence of each atrial fibrillation event in order. If Figure 5 The statistical chart presents the analysis result of atrial fibrillation from when the monitoring object was first discovered / detected to have an atrial fibrillation event, at this time Figure 5 It also has special significance. This is because the first discovered / detected atrial fibrillation of the monitoring object is often mentioned in clinical practice and is defined as a special type of atrial fibrillation, i.e., first diagnosed atrial fibrillation (AF). The first discovered / detected atrial fibrillation, regardless of whether it is the first occurrence, whether it is symptomatic, what type it is, how long it lasts, whether it has complications, etc., has special clinical significance and deserves special attention from doctors.

[0121] In addition, it should be understood that in the actual monitoring process, each bar chart of the vertical coordinate of the occurrence of atrial fibrillation may only include abnormal blood flow change type atrial fibrillation or normal blood flow change type atrial fibrillation. It should also be understood that Figure 5 The horizontal and vertical coordinates in the bar chart can be interchanged.

[0122] It should be understood that similar to the above-mentioned comprehensive statistical chart of atrial fibrillation, the variables represented by the two coordinates of the bar chart can also be interchanged, and the scales of the two coordinates can also not be equal scales, and the present application does not limit this.

[0123] In some embodiments, the bar chart of the order of occurrence of atrial fibrillation can be adjusted to a line chart of the order of occurrence of atrial fibrillation; wherein the line chart is to connect the vertices of each bar of the bar chart by a line segment.

[0124] In some embodiments, the statistical chart and the bar chart of the above-mentioned examples are all distinguished to present the changes of each type of atrial fibrillation; but it should be understood that the statistical chart and the bar chart can also present atrial fibrillation without distinguishing the type of atrial fibrillation. For example: Both the abnormal blood flow change type atrial fibrillation and the normal blood flow change type atrial fibrillation are presented as unclassified atrial fibrillation.

[0125] Please refer to Figure 6Based on the above problems, the embodiment of the present application further provides another analysis device 12 of atrial fibrillation burden. Compared with the analysis device 10 in the above embodiments, the analysis device 12 does not include the sensor 20 for acquiring the physiological parameter data, but includes a processor 32. The processor 32 can realize the functions corresponding to the processor 30 in the above embodiments, and details are not described herein.

[0126] It should be understood that in the analysis device 12 of the embodiment, the first type of physiological parameter data and the second type of physiological parameter data of the monitoring device 50 can be transmitted to the processor 32 of the analysis device 12 through the communication interface in a wireless or wired manner, so as to be processed by the processor 32. The monitoring device 50 can be, for example, an implantable electrocardio detection device or a patch type electrocardio recorder, a wearable monitor, etc.

[0127] In some embodiments, the monitoring device 50 can transmit the first type of physiological parameter data and the second type of physiological parameter data to the analysis device 12 through a cable connection or the like.

[0128] In some embodiments, the monitoring device 50 can transmit the first type of physiological parameter data and the second type of physiological parameter data to the analysis device 12 through WiFi, Bluetooth or ZigBee or the like.

[0129] In some embodiments, the analysis device 12 can be, for example, a central station; or the analysis device 12 is part of a telemetry monitoring system.

[0130] In some embodiments, the analysis device 12 further includes a display 42. It should be understood that the display 42 can realize the functions corresponding to the display 40 in the above embodiments, and details are not described herein.

[0131] In some embodiments, when the number of displays 42 is at least two, the contents displayed by different displays 42 can be the same or different. For example, a first display 42 is used to display the occurrence of atrial fibrillation of a monitoring object, which is the occurrence number of each type of atrial fibrillation and / or the occurrence number of all atrial fibrillations in the last one or two preset time windows, etc. When a user clicks the occurrence of atrial fibrillation of the monitoring object in the first display 42, a second display 42 can correspondingly display detailed atrial fibrillation analysis results of the monitoring object and other information about the monitoring object; the information can be, for example, an electronic medical record.

[0132] Please refer to Figure 7 Based on the above problems, the embodiment of the present application further provides an analysis method of atrial fibrillation burden, which includes but is not limited to the following steps:

[0133] 101: acquiring a physiological signal of a monitoring object.

[0134] In some embodiments, the physiological signal mainly includes first type of physiological parameter data and second type of physiological parameter data. The first type of physiological parameter data can be used to identify atrial fibrillation, and the second type of physiological parameter data can be used to perform hemodynamic analysis, and then distinguish the type of atrial fibrillation according to the hemodynamic analysis result.

[0135] Referring back to Table 1, similar to the analysis device (10, 12) of each of the above embodiments, in the analysis method of each of the embodiments, the hemodynamic parameter is a parameter obtained by analyzing the second type of physiological parameter data. Since the distinction of the type of atrial fibrillation is based on hemodynamics, the classified atrial fibrillation can more fully reflect the fluctuation of the hemodynamic parameter related to atrial fibrillation, so as to facilitate medical staff to understand the atrial fibrillation load of the monitoring object.

[0136] 102: Determine a preset time window.

[0137] It should be understood that the preset time window can be selected or custom-set based on the frequency of onset of the monitoring object and other factors such as past medical history. That is, the preset time windows of different monitoring objects can be the same or different.

[0138] For example, if the monitoring object has frequent atrial fibrillation, the frequency of drug adjustment is high, a shorter preset time window (such as 1 h or 4 h, etc.) can be set to relatively frequently feedback the condition of the monitoring object.

[0139] For another example, if the monitoring object does not have frequent atrial fibrillation (such as a single atrial fibrillation with a long duration), a longer preset time window (such as 12 h or 24 h, etc.) can be set to less frequently feedback the condition of the monitoring object.

[0140] 103: According to the obtained first type of physiological parameter data, identify whether the monitoring object has atrial fibrillation within the preset time window.

[0141] In some embodiments, the first type of physiological parameter data at least includes any one of electrocardiogram, blood oxygen, invasive blood pressure, and non-invasive blood pressure. It should be understood that the mainstream technology for identifying atrial fibrillation is through electrocardiogram. However, in recent years, the academic and industrial circles have gradually proposed to identify atrial fibrillation based on physiological parameter data such as blood oxygen and blood pressure alone; or to comprehensively identify atrial fibrillation by combining at least one of the physiological parameter data of blood oxygen and blood pressure with electrocardiogram. Therefore, based on at least one of electrocardiogram, blood oxygen, invasive blood pressure, and non-invasive blood pressure, the monitoring object can be identified whether to have atrial fibrillation at the current time.

[0142] 104: performing hemodynamic analysis on the monitoring subject in the time period of each episode of atrial fibrillation within the preset time window according to the acquired second type of physiological parameter data, to obtain hemodynamic analysis results.

[0143] 105: distinguishing the type of each episode of atrial fibrillation according to the hemodynamic analysis results.

[0144] In some embodiments, the type of atrial fibrillation at least includes abnormal hemodynamic change type of atrial fibrillation and normal hemodynamic change type of atrial fibrillation.

[0145] The abnormal hemodynamic change type of atrial fibrillation is a short form of hemodynamic parameter change abnormal type of atrial fibrillation. The abnormal hemodynamic change type of atrial fibrillation refers to the atrial fibrillation whose hemodynamic parameter change exceeds the corresponding preset threshold.

[0146] The normal hemodynamic change type of atrial fibrillation is a short form of hemodynamic parameter change normal type of atrial fibrillation. The normal hemodynamic change type of atrial fibrillation refers to the atrial fibrillation whose hemodynamic parameter change does not exceed the corresponding preset threshold.

[0147] Based on this, by distinguishing the atrial fibrillation through these hemodynamic parameters, medical staff can conveniently grasp the physical condition of the monitoring subject, so as to better evaluate the prognosis of atrial fibrillation and analyze the risk of dangerous events such as stroke, systemic embolism, and heart failure.

[0148] In some embodiments, in order to perform hemodynamic analysis, the second type of physiological parameter at least includes any one of the following: electrocardiogram, blood oxygen, invasive blood pressure, non-invasive blood pressure, blood flow, oxygen metabolism, and tissue perfusion. It should be understood that the second type of physiological parameter data includes the first type of physiological parameter data; that is, the physiological parameter data used to identify atrial fibrillation can also be used to perform hemodynamic analysis.

[0149] In some embodiments, the first type of physiological parameter data and the second type of physiological parameter data can be the same, partially the same, or completely different in terms of identifying atrial fibrillation and performing hemodynamic analysis, and no limitation is made in this regard. It should be understood that when the first type of physiological parameter data is the same as or partially the same as the second type of physiological parameter data, the first type of physiological parameter data which is at least partially the same as the second type of physiological parameter data is used to generate various hemodynamic parameters in the aspect of applying to hemodynamic analysis, that is, the part of the first type of physiological parameter data can be used to perform hemodynamic parameter analysis, such as the hemodynamic parameters shown in Table 1.

[0150] In some embodiments, the performing hemodynamic analysis on the monitoring subject in the time period of each episode of atrial fibrillation within the preset time window according to the acquired second type of physiological parameter data, to obtain hemodynamic analysis results, includes but is not limited to the following steps:

[0151] In the preset time window, it is determined whether the second type of physiological parameter data obtained in the period of each occurrence of atrial fibrillation exceeds the corresponding preset threshold.

[0152] It should be understood that, based on the type of the second type of physiological parameter data and the conditions of the preset threshold, etc., the exceeding of the corresponding preset threshold can refer to being higher than the corresponding preset threshold or being lower than the corresponding preset threshold.

[0153] For example: it is determined whether the obtained heart rate is higher than the corresponding upper heart rate threshold; or, it is determined whether the obtained hemoglobin content (also known as hemoglobin concentration) is lower than the corresponding lower hemoglobin content threshold; or, it is determined whether the obtained mean arterial pressure is lower than the lower mean arterial pressure threshold; or, it is determined whether the obtained cardiac output is lower than the lower cardiac output threshold, etc.

[0154] In some embodiments, if the second type of physiological parameter data exceeds the corresponding preset threshold, it is determined that the hemodynamic analysis result when the atrial fibrillation occurs is blood dynamic change abnormality. That is, the fluctuation of the hemodynamic parameter is large and exceeds the corresponding preset threshold. This indicates that the condition of the monitoring object is more critical and the atrial fibrillation load is heavier.

[0155] Based on the hemodynamic analysis result of the blood dynamic change abnormality, it can be determined that the type of the current atrial fibrillation is blood dynamic change abnormality type atrial fibrillation, so that the monitoring object can be timely paid attention to and valued by medical personnel.

[0156] In some embodiments, if the second type of physiological parameter data does not exceed the corresponding preset threshold, it is determined that the hemodynamic analysis result when the atrial fibrillation occurs is blood dynamic change normal. That is, the fluctuation of the hemodynamic parameter is small and does not exceed the corresponding preset threshold. This indicates that the condition of the monitoring object is relatively mild and the atrial fibrillation load is lighter.

[0157] Based on the hemodynamic analysis result of the blood dynamic change normal, it can be determined that the type of the current atrial fibrillation is blood dynamic change normal type atrial fibrillation, so that the monitoring object can be timely known by medical personnel.

[0158] According to the abnormal changes of different hemodynamic parameters, the analysis method of each embodiment can also divide the atrial fibrillation into more than two types, not limited to blood dynamic change abnormality type atrial fibrillation and blood dynamic change normal type atrial fibrillation.

[0159] In some embodiments, in order to more comprehensively present the atrial fibrillation load of the monitoring object, the analysis method further comprises: analyzing the time information of the occurrence of atrial fibrillation of the monitoring object in a preset time window to obtain an atrial fibrillation analysis result.

[0160] In some embodiments, the atrial fibrillation analysis result comprises at least one of: a time of occurrence of each type of atrial fibrillation, a duration of each type of atrial fibrillation, a total duration of all atrial fibrillations, a duration ratio of each type of atrial fibrillation within a preset time window, a total duration ratio of all atrial fibrillations within the preset time window, a duration ratio of each type of atrial fibrillation within a total duration of all atrial fibrillations, a number of occurrences of each type of atrial fibrillation within the preset time window, a total number of occurrences of all atrial fibrillations within the preset time window. The all atrial fibrillations refer to a sum of each type of atrial fibrillation.

[0161] The following is understood by some examples, assuming that in a 12h preset time window from 8:00 to 20:00, the occurrence of atrial fibrillation of a monitoring object is as follows:

[0162] The first atrial fibrillation lasts from 9:00 to 12:00, with a duration of 3h. Based on the second type of physiological parameter data, it is distinguished that this atrial fibrillation is a blood flow change normal type atrial fibrillation.

[0163] The second atrial fibrillation lasts from 16:00 to 19:00, with a duration of 3h. Based on the second type of physiological parameter data, it is distinguished that this atrial fibrillation is a blood flow change abnormal type atrial fibrillation.

[0164] Therefore, for the number of occurrences of each type of atrial fibrillation within the preset time window, the number of occurrences of the blood flow change normal type atrial fibrillation is once, and the number of occurrences of the blood flow change abnormal type atrial fibrillation is also once. The total number of occurrences of all atrial fibrillations within the preset time window is one.

[0165] For the time of occurrence of each type of atrial fibrillation, the time of occurrence of the blood flow change normal type atrial fibrillation is 9:00, and the time of occurrence of the blood flow change abnormal type atrial fibrillation is 16:00.

[0166] For the duration of each type of atrial fibrillation, the duration of the blood flow change normal type atrial fibrillation is 3h, and the duration of the blood flow change abnormal type atrial fibrillation is 3h. The total duration of all atrial fibrillations is 6h.

[0167] For the duration ratio of each type of atrial fibrillation within the preset time window, the duration ratio of the blood flow change normal type atrial fibrillation within the preset time window is 1 / 4, and the duration ratio of the blood flow change abnormal type atrial fibrillation within the preset time window is 1 / 4. For the total duration ratio of all atrial fibrillations within the preset time window, the total duration ratio of the two atrial fibrillations within the preset time window is 1 / 2.

[0168] For the duration ratio of each type of atrial fibrillation within the total duration of all atrial fibrillations, the duration ratio of the blood flow change normal type atrial fibrillation within the total duration of the two atrial fibrillations is 1 / 2, and the duration ratio of the blood flow change abnormal type atrial fibrillation within the total duration of the two atrial fibrillations is 1 / 2.

[0169] In some embodiments, the analysis method further comprises: displaying the at least one atrial fibrillation analysis result for a medical staff to view. It should be understood that the analysis method can display the at least one atrial fibrillation analysis result by controlling the display.

[0170] In some embodiments, in order to more intuitively and clearly present the atrial fibrillation analysis result, the analysis method can process the atrial fibrillation analysis result to control the display to present in at least one statistical chart.

[0171] In some embodiments, the at least one statistical chart includes but is not limited to: a total occurrence trend chart of atrial fibrillation, an occurrence trend chart of each type of atrial fibrillation, a comprehensive statistical chart of atrial fibrillation, and a statistical chart of each type of atrial fibrillation.

[0172] In some embodiments, the type of the at least one statistical chart includes one of a histogram, a bar chart, a box plot, a curve chart, a scatter plot, a line chart, a pie chart, and a ring chart; or the type of the at least one statistical chart includes any combination of a histogram, a bar chart, a box plot, a curve chart, a scatter plot, a line chart, a pie chart, and a ring chart.

[0173] For example: the total occurrence trend chart of atrial fibrillation can be presented by a histogram; or can be presented by a combination of a histogram and a pie chart. The occurrence trend chart of abnormal blood flow change type atrial fibrillation and the occurrence trend chart of normal blood flow change type atrial fibrillation can be presented by a bar chart or a line chart. The abnormal blood flow change type atrial fibrillation and the normal blood flow change type atrial fibrillation can be integrated in the same bar chart, or can be presented by two bar charts respectively, which is not limited.

[0174] It should be understood that different types of statistical charts focus on different information, and based on the cooperation of the at least one statistical chart, the medical staff can intuitively and relatively comprehensively understand the atrial fibrillation load of the monitoring object in a short time, so as to evaluate the atrial fibrillation prognosis of the monitoring object and analyze the occurrence risk of dangerous events.

[0175] In some embodiments, in the at least one statistical chart, different colors, textures, and patterns are used to display each type of atrial fibrillation; or any combination of different colors, textures, and patterns is used to display each type of atrial fibrillation. This can be adjusted according to actual conditions, which is not limited.

[0176] In some embodiments, in addition to displaying the atrial fibrillation analysis result, the analysis method can also control the display to display at least one of the following:

[0177] The waveform of the first type of physiological parameter data and / or the parameter value corresponding to the first type of physiological parameter data;

[0178] waveform corresponding to the second type of physiological parameter data and / or parameter value corresponding to the second type of physiological parameter data;

[0179] hemodynamic analysis result.

[0180] It should be understood that based on the processing of the first type of physiological parameter data, the waveform and / or parameter value corresponding to the first type of physiological parameter data can be extracted therefrom, and the atrial fibrillation can be further identified based on the processing result. By analogy, based on the processing of the second type of physiological parameter data, the waveform and / or parameter value corresponding to the second type of physiological parameter data can be extracted therefrom. For example, based on the processing of the electrocardiogram data, the electrocardiogram waveform and parameter values such as ventricular rate and atrial rate can be obtained, and whether the monitoring object has atrial fibrillation can be further identified based on the processing result. The hemodynamic analysis result can be presented, for example, by displaying prompt words such as “abnormal blood flow change” and “normal blood flow change”.

[0181] Based on this, the medical staff can simultaneously view the relevant information according to the actual needs while mastering the occurrence of the atrial fibrillation of the monitoring object, so as to more accurately evaluate the prognosis of the atrial fibrillation of the monitoring object and analyze the risk of the occurrence of the dangerous event.

[0182] The above describes specific embodiments of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements are also considered to be within the protection scope of the present application.

Claims

1. A method of analyzing atrial fibrillation burden, characterized by, The method comprises: acquiring physiological signals of a monitoring subject, the physiological signals comprising at least first physiological parameter data for identifying atrial fibrillation and second physiological parameter data for hemodynamic analysis, wherein the first physiological parameter data comprises at least one of electrocardiogram, blood oxygen, invasive blood pressure and non-invasive blood pressure, and the second physiological parameter data comprises at least one of electrocardiogram, blood oxygen, invasive blood pressure, non-invasive blood pressure, blood flow, oxygen metabolism and tissue perfusion, the first physiological parameter data and the second physiological parameter data are the same, partially the same or completely different; determining a preset time window; identifying whether the monitoring subject has atrial fibrillation in the preset time window according to the acquired first physiological parameter data; performing hemodynamic analysis on the monitoring subject in each period of time when atrial fibrillation occurs in the preset time window according to the acquired second physiological parameter data, to obtain hemodynamic analysis results; distinguishing the type of each atrial fibrillation according to the hemodynamic analysis results, wherein the type of atrial fibrillation comprises at least one of abnormal hemodynamic change type and normal hemodynamic change type, and when the monitoring subject has an atrial fibrillation event and the hemodynamic parameter is abnormal, the type of the atrial fibrillation event is classified as abnormal hemodynamic change type, and when the monitoring subject has an atrial fibrillation event and the hemodynamic parameter is normal, the type of the atrial fibrillation event is classified as normal hemodynamic change type.

2. The method of analysis of claim 1, wherein, The analysis method further comprises: analyzing time information of atrial fibrillation of the monitoring subject in the preset time window to obtain atrial fibrillation analysis results; the atrial fibrillation analysis results comprise at least one of the following: occurrence time of each type of atrial fibrillation, duration of each type of atrial fibrillation, duration ratio of each type of atrial fibrillation in the preset time window, duration ratio of each type of atrial fibrillation in the total duration of all atrial fibrillations, number of occurrences of each type of atrial fibrillation in the preset time window, total duration of all atrial fibrillations, total duration ratio of all atrial fibrillations in the preset time window, and total number of occurrences of all atrial fibrillations in the preset time window.

3. The method of analysis of claim 2, wherein, The analysis method further comprises displaying at least one of the atrial fibrillation analysis results.

4. The method of analysis of claim 3, wherein, The atrial fibrillation analysis results are presented by at least one of the following statistical charts: total occurrence trend chart of atrial fibrillation, occurrence trend chart of each type of atrial fibrillation, comprehensive statistical chart of atrial fibrillation, and statistical chart of each type of atrial fibrillation.

5. The method of analysis of claim 4, wherein, The at least one statistical chart comprises one of a histogram, a bar chart, a box plot, a curve chart, a scatter plot, a line chart, a pie chart, a ring chart or a combination thereof.

6. The method of analysis of claim 4, wherein, The analysis method further comprises displaying each type of atrial fibrillation by using one of different colors, textures and patterns or a combination thereof in the at least one statistical chart.

7. The method of analysis of claim 3, wherein, The analysis method further comprises displaying at least one of the following: waveform and / or corresponding parameter value of the first physiological parameter data; waveform and / or corresponding parameter value of the second physiological parameter data; and hemodynamic analysis results.

8. The assay method according to any one of claims 1 to 7, wherein The method comprises the following steps: determining whether the second type of physiological parameter data obtained in the period of each occurrence of atrial fibrillation in the preset time window exceeds the corresponding preset threshold value; if the preset threshold value is exceeded, determining that the hemodynamic analysis result of the occurrence of atrial fibrillation is abnormal blood flow change; if the preset threshold value is not exceeded, determining that the hemodynamic analysis result of the occurrence of atrial fibrillation is normal blood flow change.

9. The method of analysis of claim 8, wherein, The method comprises the following steps: when the hemodynamic analysis result is abnormal blood flow change, determining that the type of the occurrence of atrial fibrillation is abnormal blood flow change type atrial fibrillation; when the hemodynamic analysis result is normal blood flow change, determining that the type of the occurrence of atrial fibrillation is normal blood flow change type atrial fibrillation.

10. The assay method according to any one of claims 1 to 9, wherein The first type of physiological parameter at least includes any one of the following: electrocardiogram, blood oxygen, invasive blood pressure and non-invasive blood pressure.

11. The assay method according to any one of claims 1 to 10, wherein The second type of physiological parameter at least includes any one of the following: electrocardiogram, blood oxygen, invasive blood pressure, non-invasive blood pressure, blood flow, oxygen metabolism and tissue perfusion.

12. The assay method according to any one of claims 1 to 11, wherein The first type of physiological parameter data and the second type of physiological parameter data are the same, partially the same or completely different.

13. The assay method according to any one of claims 1 to 12, wherein The hemodynamic analysis result involves at least one of the following parameters: arterial pressure, venous pressure, tissue perfusion index, pulmonary artery impaction pressure, mean pulmonary artery pressure, heart rate value, hemoglobin content, cardiac output, stroke volume, ejection fraction, cardiac index, stroke volume index, systemic circulation resistance index, pulmonary circulation resistance index, right ventricular work index, left ventricular work index, oxygen delivery, oxygen consumption and oxygen uptake rate.

14. An apparatus for analyzing atrial fibrillation burden, characterized by, The method comprises the following steps: at least one sensor for acquiring physiological signals of a monitoring object, the physiological signals at least containing first type of physiological parameter data for identifying atrial fibrillation and second type of physiological parameter data for hemodynamic analysis, wherein the first type of physiological parameter data at least includes any one of the following: electrocardiogram, blood oxygen, invasive blood pressure and non-invasive blood pressure, the second type of physiological parameter at least includes any one of the following: electrocardiogram, blood oxygen, invasive blood pressure, non-invasive blood pressure, blood flow, oxygen metabolism and tissue perfusion, the first type of physiological parameter data and the second type of physiological parameter data are the same, partially the same or completely different; a processor for: determining a preset time window; identifying whether the monitoring object has atrial fibrillation in the preset time window according to the acquired first type of physiological parameter data; performing hemodynamic analysis on the monitoring object in the period of each occurrence of atrial fibrillation in the preset time window according to the acquired second type of physiological parameter data, to obtain a hemodynamic analysis result; According to the hemodynamic analysis result, the type of each atrial fibrillation is distinguished, and the type of the atrial fibrillation at least includes an abnormal blood flow change type of atrial fibrillation and a normal blood flow change type of atrial fibrillation. When the hemodynamic parameter of the monitoring object is abnormal when the monitoring object has an atrial fibrillation event, the type of the atrial fibrillation event is classified as the abnormal blood flow change type of atrial fibrillation. When the hemodynamic parameter of the monitoring object is normal when the monitoring object has an atrial fibrillation event, the type of the atrial fibrillation event is classified as the normal blood flow change type of atrial fibrillation.

15. An apparatus for analyzing atrial fibrillation burden, characterized by, Comprise: A communication interface is configured to acquire physiological signals of a monitoring object collected by a sensor, and the physiological signals at least include first physiological parameter data used for identifying atrial fibrillation and second physiological parameter data used for hemodynamic analysis. The first physiological parameter data at least includes any one of electrocardiogram, blood oxygen, invasive blood pressure and non-invasive blood pressure. The second physiological parameter at least includes any one of electrocardiogram, blood oxygen, invasive blood pressure, non-invasive blood pressure, blood flow, oxygen metabolism and tissue perfusion. The first physiological parameter data and the second physiological parameter data are the same, partially the same or completely different. A processor is configured to: Determine a preset time window; According to the acquired first physiological parameter data, whether the monitoring object has atrial fibrillation in the preset time window is identified; According to the acquired second physiological parameter data, hemodynamic analysis of the monitoring object is performed in each atrial fibrillation period in the preset time window to obtain a hemodynamic analysis result; According to the hemodynamic analysis result, the type of each atrial fibrillation is distinguished, and the type of the atrial fibrillation at least includes an abnormal blood flow change type of atrial fibrillation and a normal blood flow change type of atrial fibrillation. When the hemodynamic parameter of the monitoring object is abnormal when the monitoring object has an atrial fibrillation event, the type of the atrial fibrillation event is classified as the abnormal blood flow change type of atrial fibrillation. When the hemodynamic parameter of the monitoring object is normal when the monitoring object has an atrial fibrillation event, the type of the atrial fibrillation event is classified as the normal blood flow change type of atrial fibrillation.

16. The assay device of claim 14 or 15, wherein, The processor is further configured to: Analyze time information of the monitoring object having atrial fibrillation in the preset time window to obtain an atrial fibrillation analysis result; The atrial fibrillation analysis result at least includes any one of the following: occurrence time of each type of atrial fibrillation, duration of each type of atrial fibrillation, duration ratio of each type of atrial fibrillation in the preset time window, duration ratio of each type of atrial fibrillation in the total duration of all atrial fibrillations, occurrence number of each type of atrial fibrillation in the preset time window, total duration of all atrial fibrillations, total duration ratio of all atrial fibrillations in the preset time window, and total occurrence number of all atrial fibrillations in the preset time window.

17. The assay device of claim 16, wherein, The analysis device further comprises: A display is configured to display at least one atrial fibrillation analysis result.

18. The assay device of claim 17, wherein, The display is specifically configured to present the atrial fibrillation analysis result through at least one of the following statistical charts: a total occurrence trend chart of atrial fibrillation, an occurrence trend chart of each type of atrial fibrillation, a comprehensive statistical chart of atrial fibrillation, and a statistical chart of each type of atrial fibrillation.

19. The assay device of claim 18, wherein, The at least one statistical chart comprises one of a histogram, a bar chart, a box plot, a curve chart, a scatter chart, a line chart, a pie chart, a ring chart, or a combination thereof.

20. The assay device of claim 18, wherein, The display is specifically configured to display each type of atrial fibrillation in the at least one statistical chart by using one of different colors, textures, patterns, or a combination thereof.

21. The assay device of claim 18, wherein, The display is further configured to display at least one of: a waveform of the first type of physiological parameter data and / or a corresponding parameter value thereof; a waveform of the second type of physiological parameter data and / or a corresponding parameter value thereof; and a hemodynamic analysis result.

22. The assay device of any one of claims 14 to 21, wherein, The processor is specifically configured to: determine whether the second type of physiological parameter data acquired in a period of time when each occurrence of atrial fibrillation occurs within the preset time window exceeds a corresponding preset threshold value; if the preset threshold value is exceeded, determine that the hemodynamic analysis result when the atrial fibrillation occurs is abnormal blood flow change; if the preset threshold value is not exceeded, determine that the hemodynamic analysis result when the atrial fibrillation occurs is normal blood flow change.

23. The assay device of claim 22, wherein, The processor is specifically configured to: when the hemodynamic analysis result is abnormal blood flow change, determine that the type of the atrial fibrillation is abnormal blood flow change type atrial fibrillation; when the hemodynamic analysis result is normal blood flow change, determine that the type of the atrial fibrillation is normal blood flow change type atrial fibrillation.

24. The assay device of any one of claims 14 to 23, wherein, The first type of physiological parameter at least includes any one of electrocardiogram, blood oxygen, invasive blood pressure, and non-invasive blood pressure.

25. The assay device of any one of claims 14 to 24, wherein, The second type of physiological parameter at least includes any one of electrocardiogram, blood oxygen, invasive blood pressure, non-invasive blood pressure, blood flow, oxygen metabolism, and tissue perfusion.

26. The assay device of any one of claims 14 to 25, wherein, The first type of physiological parameter data and the second type of physiological parameter data are the same, partially the same, or completely different.

27. The assay device of any one of claims 14 to 26, wherein, The hemodynamic analysis result involves at least one of arterial pressure, venous pressure, tissue perfusion index, pulmonary artery impaction pressure, mean pulmonary artery pressure, heart rate value, hemoglobin content, cardiac output, stroke volume, ejection fraction, cardiac index, stroke volume index, systemic circulation resistance index, pulmonary circulation resistance index, right ventricular work index, left ventricular work index, oxygen delivery amount, oxygen consumption amount, and oxygen uptake rate.

Citation Information

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