Wearable continuous blood pressure monitoring equipment and system thereof

Abstract

The invention relates to the technical field of medical equipment, and particularly discloses wearable continuous blood pressure monitoring equipment and a system thereof.The equipment comprises an air pump type blood pressure recorder used for measuring diastolic pressure and systolic pressure of a patient during sleeping in real time; the blood oxygen ring is used for measuring the blood oxygen saturation degree and the pulse number of the patient during sleeping in real time; the data analysis display device is used for analyzing a current sleep cycle analysis result of the patient based on the diastolic pressure, the systolic pressure, the oxyhemoglobin saturation and the pulse rate of the patient in the recent preset cycle, and displaying the current sleep cycle analysis result of the patient based on the diastolic pressure, the systolic pressure, the oxyhemoglobin saturation and the pulse rate of the patient in the recent preset cycle and the current sleep cycle analysis result. Analyzing a risk prediction coefficient of the patient; the method is used for detecting the physical condition of a patient in the sleep process of the patient and accurately evaluating the potential risk that the patient possibly suffers from cardiovascular diseases.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment, and in particular to a wearable continuous blood pressure monitoring device and a system thereof. Background Art

[0002] The main risk of sleep apnea is not hypoxia events, but the cardiovascular impact, which can lead to heart attacks, strokes, and even damage to the brain, eye capillaries, and kidneys. Currently, cardiovascular disease (coronary heart disease attacks, strokes, heart failure, chronic obstructive pulmonary disease, etc.) is the world's leading cause of death. The number of deaths from cardiovascular disease is twice the total number of deaths from all cancers. About one in five people suffer from high blood pressure (about 1.4 billion people worldwide). Most cardiovascular diseases are preventable if detected early.

[0003] However, since a large proportion of people are undiagnosed today, existing fixed-point blood pressure cannot detect blood pressure fluctuations, which are the main risk factors in the prevention of cardiovascular diseases and in certain emergency situations. In addition, since the detection device requires continuous observation and operation by medical staff, it is impossible to continuously monitor the patient's blood pressure fluctuations during sleep. For example, the existing wrist sphygmomanometer cannot detect continuous fluctuations in blood pressure, and therefore cannot detect short-term fluctuations in blood pressure of potential patients with cardiovascular diseases. It also requires continuous observation and operation by medical staff, which results in the inability of medical staff to promptly detect the patient's potential high risk of cardiovascular disease.

[0004] Therefore, the present invention proposes a wearable continuous blood pressure monitoring device and a system thereof. Summary of the invention

[0005] The present invention provides a wearable continuous blood pressure monitoring device and a system thereof, which are used to continuously monitor the patient's blood pressure fluctuations and other physiological signs, and by performing a joint combined analysis of the patient's blood pressure fluctuation data and other physiological sign data obtained from the continuous monitoring, the patient's potential risk of cardiovascular disease can be accurately assessed during the patient's sleep without the need for continuous observation and operation by medical staff, thereby facilitating medical staff to promptly discover the patient's potential high risk of cardiovascular disease.

[0006] The present invention provides a wearable continuous blood pressure monitoring device, comprising:

[0007] Air pump blood pressure recorder, used to measure the diastolic and systolic blood pressure of patients in real time during sleep;

[0008] The blood oxygen ring is used to measure the patient's blood oxygen saturation and pulse rate in real time while sleeping;

[0009] The data analysis and display device is used to analyze the patient's current sleep cycle analysis results based on the patient's diastolic blood pressure, systolic blood pressure, blood oxygen saturation and pulse rate in the most recent preset cycle, and to analyze the patient's risk prediction coefficient based on the patient's diastolic blood pressure, systolic blood pressure, blood oxygen saturation, pulse rate and current sleep cycle analysis results in the most recent preset cycle.

[0010] Preferably, the data analysis and display device comprises:

[0011] The data simulation wave module is used to fit the diastolic pressure and systolic pressure of the patient at each moment in the most recent preset cycle according to the time series wave to generate the patient's continuous blood pressure monitoring waveform. At the same time, the patient's blood oxygen saturation in the most recent preset cycle is fitted according to the time series wave to generate the patient's continuous blood oxygen monitoring waveform. At the same time, the patient's pulse number in the most recent preset cycle is fitted according to the time series wave to generate the patient's continuous pulse monitoring waveform;

[0012] The sleep analysis module is used to analyze the patient's current sleep cycle analysis results based on the latest acquired continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform and continuous pulse monitoring waveform of the patient;

[0013] The risk prediction module is used to analyze the patient's risk prediction coefficient based on the patient's continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, continuous pulse monitoring waveform and current sleep cycle analysis results;

[0014] The oscilloscope module is used to display the latest patient's continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, continuous pulse monitoring waveform, current sleep cycle analysis results and the patient's risk prediction coefficient to the user.

[0015] Preferably, the sleep analysis module includes:

[0016] A physiological characteristic acquisition submodule is used to acquire the basic physiological characteristics of the patient;

[0017] The sleep analysis submodule is used to input the patient's basic biological characteristics and the latest acquired continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, and continuous pulse monitoring waveform into the sleep cycle analysis model to obtain the patient's current sleep cycle analysis results.

[0018] Preferably, the risk prediction module includes:

[0019] The sudden change band identification submodule is used to determine all blood pressure sudden change bands in the patient's continuous blood pressure monitoring waveform, all blood oxygen sudden change bands in the continuous blood oxygen monitoring waveform, and all pulse sudden change bands in the continuous pulse monitoring waveform;

[0020] The sudden change difference calculation submodule is used to determine the preceding adjacent blood pressure sudden change difference and the succeeding adjacent blood pressure sudden change difference of each blood pressure sudden change band except the blood pressure sudden change amplitude of the first blood pressure sudden change band in the patient's continuous blood pressure monitoring waveform, the preceding adjacent blood oxygen sudden change difference and the succeeding adjacent blood oxygen sudden change difference of each blood oxygen sudden change band except the blood oxygen sudden change amplitude of the first blood oxygen sudden change band in the patient's continuous blood oxygen monitoring waveform, and the preceding adjacent pulse sudden change difference and the succeeding adjacent pulse sudden change difference of each pulse sudden change band except the pulse sudden change amplitude of the first pulse sudden change band in the patient's continuous pulse monitoring waveform;

[0021] The risk prediction submodule is used to analyze the patient's risk prediction coefficient based on the preceding adjacent blood pressure sudden change difference and the succeeding adjacent blood pressure sudden change difference of each blood pressure sudden change band except the blood pressure sudden change amplitude of the first blood pressure sudden change band in the patient's continuous blood pressure monitoring waveform, the preceding adjacent blood oxygen sudden change difference and the succeeding adjacent blood oxygen sudden change difference of each blood oxygen sudden change band except the blood oxygen sudden change amplitude of the first blood oxygen sudden change band in the patient's continuous blood oxygen monitoring waveform, the preceding adjacent pulse sudden change difference and the succeeding adjacent pulse sudden change difference of each pulse sudden change band except the pulse sudden change amplitude of the first pulse sudden change band in the patient's continuous pulse monitoring waveform, and the current sleep cycle analysis result.

[0022] Preferably, the sudden change band identification submodule includes:

[0023] A first sudden change wave band identification unit is used to input the patient's continuous blood pressure monitoring waveform into the blood pressure sudden change wave identification model to determine all blood pressure sudden change wave bands in the patient's continuous blood pressure monitoring waveform;

[0024] The second sudden change band identification unit is used to input the patient's continuous blood oxygen monitoring waveform into the blood oxygen sudden change wave identification model to determine all blood oxygen sudden change bands in the patient's continuous blood oxygen monitoring waveform;

[0025] The third sudden change band identification unit is used to input the patient's continuous pulse monitoring waveform into the pulse sudden change wave identification model to determine all the pulse sudden change bands in the patient's continuous pulse monitoring waveform.

[0026] Preferably, the sudden change difference calculation submodule includes:

[0027] The first calculation unit is used to determine the difference between the blood pressure sudden change amplitude of each blood pressure sudden change band except the blood pressure sudden change amplitude of the first blood pressure sudden change band in the patient's continuous blood pressure monitoring waveform and the blood pressure sudden change amplitude of the adjacent previous blood pressure sudden change band and the blood pressure sudden change amplitude of the adjacent next blood pressure sudden change band, as the previous adjacent blood pressure sudden change difference and the next adjacent blood pressure sudden change difference of the corresponding blood pressure sudden change band;

[0028] The second calculation unit is used to determine the difference between the blood oxygen sudden change amplitude of each blood oxygen sudden change band except the blood oxygen sudden change amplitude of the first blood oxygen sudden change band in the patient's continuous blood oxygen monitoring waveform and the blood oxygen sudden change amplitude of the adjacent previous blood oxygen sudden change band and the blood oxygen sudden change amplitude of the adjacent next blood oxygen sudden change band, as the previous adjacent blood oxygen sudden change difference and the next adjacent blood oxygen sudden change difference of the corresponding blood oxygen sudden change band;

[0029] The third calculation unit is used to determine the difference between the pulse sudden change amplitude of each pulse sudden change band except the pulse sudden change amplitude of the first pulse sudden change band in the patient's continuous pulse monitoring waveform and the pulse sudden change amplitude of the corresponding adjacent previous pulse sudden change band and the pulse sudden change amplitude of the adjacent subsequent pulse sudden change band, as the previous adjacent pulse sudden change difference and the subsequent adjacent pulse sudden change difference of the corresponding pulse sudden change band.

[0030] Preferably, the risk prediction submodule includes:

[0031] A first scatter plot generating unit is used to generate a blood pressure interval scatter plot for each sleep cycle by taking the preceding adjacent blood pressure sudden change difference and the following adjacent blood pressure sudden change difference of all blood pressure sudden change bands belonging to each sleep cycle as the abscissa value and the ordinate value of the two-dimensional coordinate system, respectively, based on the current sleep cycle analysis result;

[0032] A second scatter plot generating unit is used to generate a blood oxygen interval scatter plot of each sleep cycle by taking the preceding adjacent blood oxygen sudden change difference and the following adjacent blood oxygen sudden change difference of all blood oxygen sudden change bands belonging to each sleep cycle as the abscissa value and the ordinate value of the two-dimensional coordinate system respectively based on the current sleep cycle analysis result;

[0033] A third scatter plot generating unit is used to generate a pulse interval scatter plot of each sleep cycle by taking the preceding adjacent pulse sudden change differences and the following adjacent pulse sudden change differences of all pulse sudden change bands belonging to each sleep cycle as the abscissa value and the ordinate value of the two-dimensional coordinate system, respectively, based on the current sleep cycle analysis result;

[0034] The risk analysis unit is used to analyze the patient's risk prediction coefficient based on the blood pressure interval scatter plot, blood oxygen interval scatter plot, and pulse interval scatter plot of each sleep cycle.

[0035] Preferably, the risk analysis unit further includes:

[0036] The timing coincidence ratio calculation subunit is used to calculate the timing coincidence ratio between each blood pressure sudden change band and all blood oxygen sudden change bands and all pulse sudden change bands, and at the same time, calculate the timing coincidence ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands, and at the same time, calculate the timing coincidence ratio between each pulse sudden change band and all blood pressure sudden change bands and all blood oxygen sudden change bands;

[0037] A scatter plot coloring subunit is used to color the blood pressure interval scatter plots of all sleep cycles based on the timing overlap ratio between each blood pressure sudden change band and all blood oxygen sudden change bands and all pulse sudden change bands, so as to obtain the blood pressure interval colored scatter plot of each sleep cycle; at the same time, based on the timing overlap ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands, the blood oxygen interval scatter plots of all sleep cycles are colored, so as to obtain the blood oxygen interval colored scatter plot of each sleep cycle; at the same time, based on the timing overlap ratio between each pulse sudden change band and all blood pressure sudden change bands and all blood oxygen sudden change bands, the pulse interval scatter plots of all sleep cycles are colored, so as to obtain the pulse interval colored scatter plot of each sleep cycle;

[0038] The risk prediction subunit is used to input the blood pressure interval color scatter plot, blood oxygen interval color scatter plot and pulse interval color scatter plot of all sleep cycles into the risk prediction model to obtain the patient's risk prediction coefficient.

[0039] Preferably, it also includes:

[0040] The intelligent charging box is used to load the air pump type blood pressure recorder, the blood oxygen ring and the data analysis display device, and at the same time, charge the air pump type blood pressure recorder, the blood oxygen ring and the data analysis display device.

[0041] The present invention provides a wearable continuous blood pressure monitoring system, comprising any one of the above wearable continuous blood pressure monitoring devices, and a cloud storage system for storing a patient's continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, continuous pulse monitoring waveform, current sleep cycle analysis results, and risk prediction coefficient obtained during the operation of any one of the above wearable continuous blood pressure monitoring devices.

[0042] The beneficial effects of the present invention compared to the prior art are: continuous monitoring of the patient's blood pressure fluctuations and other physiological signs, and joint combined analysis of the patient's blood pressure fluctuation data and other physiological sign data obtained through continuous monitoring, can accurately assess the patient's potential risk of cardiovascular disease during the patient's sleep without the need for continuous observation and operation by medical staff, thereby facilitating medical staff to promptly discover the patient's potential high risk of cardiovascular disease.

[0043] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0044] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0046] Figure 1 Schematic diagram of the internal devices and modules of the wearable continuous blood pressure monitoring device in an embodiment of the present invention;

[0047] Figure 2 is a waveform diagram of diastolic and systolic blood pressure of a patient during a partial sleep period in an embodiment of the present invention;

[0048] Figure 3 The waveform diagram of diastolic pressure, blood oxygen saturation and systolic pressure of the patient during partial sleep in an embodiment of the present invention;

[0049] Figure 4 The figure is a schematic diagram of switching between charging and use states of a wearable continuous blood pressure monitoring device in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0051] Embodiment 1:

[0052] The present invention provides a wearable continuous blood pressure monitoring device, referring to Figure 1 ,include:

[0053] Air pump blood pressure recorder, used to measure the diastolic and systolic blood pressure of patients in real time during sleep;

[0054] The blood oxygen ring is used to measure the patient's blood oxygen saturation and pulse rate in real time while sleeping;

[0055] The data analysis and display device is used to analyze the patient's current sleep cycle analysis results based on the patient's diastolic blood pressure, systolic blood pressure, blood oxygen saturation and pulse rate in the most recent preset cycle, and to analyze the patient's risk prediction coefficient based on the patient's diastolic blood pressure, systolic blood pressure, blood oxygen saturation, pulse rate and current sleep cycle analysis results in the most recent preset cycle.

[0056] In this embodiment, the current sleep cycle analysis results include the types of sleep stages that the patient has experienced during this continuous blood pressure monitoring process (including light sleep, light sleep, medium sleep, deep sleep, rapid eye movement sleep, etc.) and the duration of each sleep stage.

[0057] In this embodiment, the patient's risk prediction coefficient is the predicted risk level of the patient's possible occurrence of sleep apnea and subsequent cardiovascular disease.

[0058] In this embodiment, the air pump type blood pressure recorder is built into the watch.

[0059] The beneficial effects of the above technology are: continuous monitoring of the patient's blood pressure fluctuations and other physiological signs, and joint combined analysis of the patient's blood pressure fluctuation data and other physiological signs data obtained through continuous monitoring. This can accurately assess the patient's potential risk of cardiovascular disease during the patient's sleep without the need for continuous observation and operation by medical staff, thereby facilitating medical staff to promptly discover the patient's potential high risk of cardiovascular disease.

[0060] Embodiment 2:

[0061] Based on Example 1, the data analysis and display device, referring to Figure 2 and 3 ,include:

[0062] The data simulation wave module is used to fit the diastolic pressure and systolic pressure of the patient at each moment in the most recent preset cycle according to the time series wave to generate the patient's continuous blood pressure monitoring waveform. At the same time, the patient's blood oxygen saturation in the most recent preset cycle is fitted according to the time series wave to generate the patient's continuous blood oxygen monitoring waveform. At the same time, the patient's pulse number in the most recent preset cycle is fitted according to the time series wave to generate the patient's continuous pulse monitoring waveform;

[0063] The sleep analysis module is used to analyze the patient's current sleep cycle analysis results based on the latest acquired continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform and continuous pulse monitoring waveform of the patient;

[0064] The risk prediction module is used to analyze the patient's risk prediction coefficient based on the patient's continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, continuous pulse monitoring waveform and current sleep cycle analysis results;

[0065] The oscilloscope module is used to display the latest patient's continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, continuous pulse monitoring waveform, current sleep cycle analysis results and patient's risk prediction coefficient to the user. This process is achieved through the tablet device that comes with the wearable continuous blood pressure monitoring device.

[0066] The beneficial effects of the above technology are: the data analysis and display device can perform wave fitting on the patient's continuous blood pressure data, continuous blood oxygen data and continuous pulse data within a certain period of time, and realize accurate analysis of the patient's sleep condition through the fitted data waveform, and combine the fitted continuous parameters representing the patient's cardiovascular state in the current sleep state with the patient's sleep state for analysis, so as to predict the degree of risk of cardiovascular disease in the patient, and realize the intuitive display of the above multiple parameters through the oscilloscope module.

[0067] Embodiment 3:

[0068] Based on Example 2, the sleep analysis module includes:

[0069] A physiological characteristic acquisition submodule is used to acquire the basic physiological characteristics of the patient;

[0070] The sleep analysis submodule is used to input the patient's basic biological characteristics and the latest acquired continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, and continuous pulse monitoring waveform into the sleep cycle analysis model to obtain the patient's current sleep cycle analysis results.

[0071] In this embodiment, the basic physiological characteristics of the patient include age, gender, height, weight, body mass index, etc.

[0072] In this embodiment, the sleep cycle analysis model is pre-trained and can determine the type of sleep period that the patient has experienced during the current continuous blood pressure monitoring process and the duration of each sleep period based on the input basic biological characteristics of the patient and the latest acquired continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, and continuous pulse monitoring waveform of the patient;

[0073] During the training process, a large number of patients' basic biological characteristics and continuous blood pressure monitoring waveforms, continuous blood oxygen monitoring waveforms, and continuous pulse monitoring waveforms during continuous sleep periods are obtained (the above parameters of each patient are used as inputs for a single model training process), and the current sleep cycle analysis results of the corresponding patients determined by existing methods and electroencephalograms, electromyograms, and electrooculograms (as outputs for a single model training process) are used as training samples to train the neural network model and obtain a sleep cycle analysis model.

[0074] The beneficial effects of the above technology are: combining the patient's basic physiological characteristics with the various continuous monitoring data obtained during the continuous blood pressure monitoring process, and using the pre-trained model to achieve automatic analysis of the patient's current sleep state.

[0075] Embodiment 4:

[0076] Based on Example 2, the risk prediction module includes:

[0077] The sudden change band identification submodule is used to determine all blood pressure sudden change bands in the patient's continuous blood pressure monitoring waveform, all blood oxygen sudden change bands in the continuous blood oxygen monitoring waveform, and all pulse sudden change bands in the continuous pulse monitoring waveform;

[0078] The sudden change difference calculation submodule is used to determine the preceding adjacent blood pressure sudden change difference and the succeeding adjacent blood pressure sudden change difference of each blood pressure sudden change band except the blood pressure sudden change amplitude of the first blood pressure sudden change band in the patient's continuous blood pressure monitoring waveform, the preceding adjacent blood oxygen sudden change difference and the succeeding adjacent blood oxygen sudden change difference of each blood oxygen sudden change band except the blood oxygen sudden change amplitude of the first blood oxygen sudden change band in the patient's continuous blood oxygen monitoring waveform, and the preceding adjacent pulse sudden change difference and the succeeding adjacent pulse sudden change difference of each pulse sudden change band except the pulse sudden change amplitude of the first pulse sudden change band in the patient's continuous pulse monitoring waveform;

[0079] The risk prediction submodule is used to analyze the patient's risk prediction coefficient based on the preceding adjacent blood pressure sudden change difference and the succeeding adjacent blood pressure sudden change difference of each diastolic pressure (or systolic pressure) blood pressure sudden change band except the blood pressure sudden change amplitude of the first diastolic pressure (or systolic pressure) blood pressure sudden change band in the patient's continuous blood oxygen monitoring waveform, the preceding adjacent blood oxygen sudden change difference and the succeeding adjacent blood oxygen sudden change difference of each blood oxygen sudden change band except the blood oxygen sudden change amplitude of the first blood oxygen sudden change band in the patient's continuous blood oxygen monitoring waveform, the preceding adjacent pulse sudden change difference and the succeeding adjacent pulse sudden change difference of each pulse sudden change band except the pulse sudden change amplitude of the first pulse sudden change band in the patient's continuous pulse monitoring waveform, and the current sleep cycle analysis result.

[0080] In this embodiment, the blood pressure sudden change band is a band in which the diastolic pressure (or systolic pressure) suddenly changes in the continuous blood pressure monitoring waveform.

[0081] In this embodiment, the blood oxygen sudden change band is a band in which the blood oxygen saturation changes suddenly in the continuous blood oxygen monitoring waveform.

[0082] In this embodiment, the pulse sudden change band is a band in which the pulse suddenly changes in the continuous pulse monitoring waveform.

[0083] In this embodiment, the blood pressure sudden change amplitude in the blood pressure sudden change band is the maximum value of the diastolic pressure (or systolic pressure) that suddenly changes in the blood pressure sudden change band.

[0084] In this embodiment, the blood oxygen sudden change amplitude in the blood oxygen sudden change band is the maximum blood oxygen saturation value in the blood oxygen sudden change band.

[0085] In this embodiment, the pulse sudden change amplitude of the pulse sudden change band is the maximum value of the pulse number in the pulse sudden change band.

[0086] The beneficial effects of the above technology are: based on the determined blood pressure sudden change difference before and after of each blood pressure sudden change band except the blood pressure sudden change amplitude of the first blood pressure sudden change band in the patient's continuous blood pressure monitoring waveform, the blood oxygen sudden change difference before and after of each blood oxygen sudden change band except the blood oxygen sudden change amplitude of the first blood oxygen sudden change band in the patient's continuous blood oxygen monitoring waveform, the pulse sudden change amplitude before and after of each pulse sudden change band except the first pulse sudden change band in the patient's continuous pulse monitoring waveform, and combined with the current sleep cycle analysis results, an accurate prediction of the patient's possible risk of cardiovascular disease is achieved.

[0087] Embodiment 5:

[0088] On the basis of Example 4, the sudden change band identification submodule includes:

[0089] A first sudden change wave band identification unit is used to input the patient's continuous blood pressure monitoring waveform into the blood pressure sudden change wave identification model to determine all blood pressure sudden change wave bands in the patient's continuous blood pressure monitoring waveform;

[0090] The second sudden change band identification unit is used to input the patient's continuous blood oxygen monitoring waveform into the blood oxygen sudden change wave identification model to determine all blood oxygen sudden change bands in the patient's continuous blood oxygen monitoring waveform;

[0091] The third sudden change band identification unit is used to input the patient's continuous pulse monitoring waveform into the pulse sudden change wave identification model to determine all the pulse sudden change bands in the patient's continuous pulse monitoring waveform.

[0092] In this embodiment, all the blood pressure sudden change bands in the patient's continuous blood pressure monitoring waveform include two types of blood pressure sudden change bands: diastolic blood pressure sudden change bands and systolic blood pressure sudden change bands.

[0093] In this embodiment, the blood pressure sudden change wave recognition model is trained in advance using a large number of continuous blood pressure monitoring waveforms that are manually marked to show all the blood pressure sudden change wave bands contained therein as training samples.

[0094] In this embodiment, the blood oxygen sudden change wave recognition model is trained in advance using a large number of continuous blood oxygen monitoring waveforms that are manually marked with all the blood oxygen sudden change bands contained therein as training samples.

[0095] In this embodiment, the pulse sudden change wave recognition model is trained in advance using a large number of continuous pulse monitoring waveforms that are manually marked with all the pulse sudden change wave bands contained therein as training samples.

[0096] The beneficial effects of the above technology are: using the pre-trained model to realize automatic recognition of all blood pressure sudden change bands in the patient's continuous blood pressure monitoring waveform, all blood oxygen sudden change bands in the patient's continuous blood oxygen monitoring waveform, and all pulse sudden change bands in the patient's continuous pulse monitoring waveform.

[0097] Embodiment 6:

[0098] On the basis of Embodiment 4, the sudden change difference calculation submodule includes:

[0099] The first calculation unit is used to determine the difference between the blood pressure sudden change amplitude of each diastolic pressure (or systolic pressure) blood pressure sudden change band except the blood pressure sudden change amplitude of the first diastolic pressure (or systolic pressure) blood pressure sudden change band in the patient's continuous blood oxygen monitoring waveform and the blood pressure sudden change amplitude of the blood pressure sudden change band of the adjacent previous diastolic pressure (or systolic pressure) and the blood pressure sudden change amplitude of the blood pressure sudden change band of the adjacent next diastolic pressure (or systolic pressure), as the previous adjacent blood pressure sudden change difference and the next adjacent blood pressure sudden change difference of the corresponding diastolic pressure (or systolic pressure) blood pressure sudden change band;

[0100] The second calculation unit is used to determine the difference between the blood oxygen sudden change amplitude of each blood oxygen sudden change band except the blood oxygen sudden change amplitude of the first blood oxygen sudden change band in the patient's continuous blood oxygen monitoring waveform and the blood oxygen sudden change amplitude of the adjacent previous blood oxygen sudden change band and the blood oxygen sudden change amplitude of the adjacent next blood oxygen sudden change band, as the previous adjacent blood oxygen sudden change difference and the next adjacent blood oxygen sudden change difference of the corresponding blood oxygen sudden change band;

[0101] The third calculation unit is used to determine the difference between the pulse sudden change amplitude of each pulse sudden change band except the pulse sudden change amplitude of the first pulse sudden change band in the patient's continuous pulse monitoring waveform and the pulse sudden change amplitude of the corresponding adjacent previous pulse sudden change band and the pulse sudden change amplitude of the adjacent subsequent pulse sudden change band, as the previous adjacent pulse sudden change difference and the subsequent adjacent pulse sudden change difference of the corresponding pulse sudden change band.

[0102] The beneficial effects of the above technology are: determining the preceding adjacent blood pressure sudden change difference and the succeeding adjacent blood pressure sudden change difference of each blood pressure sudden change band except the blood pressure sudden change amplitude of the first blood pressure sudden change band in the patient's continuous blood pressure monitoring waveform, the preceding adjacent blood oxygen sudden change difference and the succeeding adjacent blood oxygen sudden change difference of each blood oxygen sudden change band except the blood oxygen sudden change amplitude of the first blood oxygen sudden change band in the patient's continuous blood oxygen monitoring waveform, and the preceding adjacent pulse sudden change difference and the succeeding adjacent pulse sudden change difference of each pulse sudden change band except the pulse sudden change amplitude of the first pulse sudden change band in the patient's continuous pulse monitoring waveform.

[0103] Embodiment 7:

[0104] Based on Example 4, the risk prediction submodule includes:

[0105] A first scatter plot generating unit is used to generate a blood pressure interval scatter plot of the diastolic pressure (or systolic pressure) of each sleep cycle by using the preceding adjacent blood pressure sudden change difference and the following adjacent blood pressure sudden change difference of the blood pressure sudden change band of all diastolic pressure (or systolic pressure) belonging to each sleep cycle as the abscissa value and the ordinate value of the two-dimensional coordinate system, based on the current sleep cycle analysis result;

[0106] A second scatter plot generating unit is used to generate a blood oxygen interval scatter plot of each sleep cycle by taking the preceding adjacent blood oxygen sudden change difference and the following adjacent blood oxygen sudden change difference of all blood oxygen sudden change bands belonging to each sleep cycle as the abscissa value and the ordinate value of the two-dimensional coordinate system respectively based on the current sleep cycle analysis result;

[0107] A third scatter plot generating unit is used to generate a pulse interval scatter plot of each sleep cycle by taking the preceding adjacent pulse sudden change differences and the following adjacent pulse sudden change differences of all pulse sudden change bands belonging to each sleep cycle as the abscissa value and the ordinate value of the two-dimensional coordinate system, respectively, based on the current sleep cycle analysis result;

[0108] The risk analysis unit is used to analyze the patient's risk prediction coefficient based on the blood pressure interval scatter plot, blood oxygen interval scatter plot, and pulse interval scatter plot of the diastolic blood pressure (or systolic blood pressure) of each sleep cycle.

[0109] In this embodiment, each blood pressure sudden change band, blood oxygen sudden change band, and pulse sudden change band belonging to each sleep cycle corresponds to a point coordinate in the blood pressure interval scatter diagram or blood oxygen interval scatter diagram or pulse interval scatter diagram of the corresponding sleep cycle, that is, the total number of scatter point coordinates contained in the blood pressure interval scatter diagram or blood oxygen interval scatter diagram or pulse interval scatter diagram of each sleep cycle is the same as the total number of all blood pressure sudden change bands or blood oxygen sudden change bands or pulse sudden change bands contained in the corresponding sleep cycle.

[0110] The beneficial effects of the above technology are: based on the current sleep cycle analysis results, the front adjacent blood pressure sudden change difference and the rear adjacent blood pressure sudden change difference of all diastolic blood pressure (or systolic blood pressure) blood pressure sudden change bands belonging to each sleep cycle, the front adjacent pulse sudden change difference and the rear adjacent pulse sudden change difference of all pulse sudden change bands belonging to each sleep cycle, and the front adjacent pulse sudden change difference and the rear adjacent pulse sudden change difference of all pulse sudden change bands belonging to each sleep cycle, a blood pressure interval scatter plot, blood oxygen interval scatter plot, and pulse interval scatter plot of the diastolic blood pressure (or systolic blood pressure) of each sleep cycle are generated; and the blood pressure interval scatter plot, blood oxygen interval scatter plot, and pulse interval scatter plot of the diastolic blood pressure (or systolic blood pressure) of each sleep cycle are used to accurately predict the risk level of cardiovascular disease in patients.

[0111] Embodiment 8:

[0112] Based on Example 7, the risk analysis unit further includes:

[0113] The timing coincidence ratio calculation subunit is used to calculate the timing coincidence ratio between each blood pressure sudden change band and all blood oxygen sudden change bands and all pulse sudden change bands, and at the same time, calculate the timing coincidence ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands, and at the same time, calculate the timing coincidence ratio between each pulse sudden change band and all blood pressure sudden change bands and all blood oxygen sudden change bands;

[0114] A scatter plot coloring subunit is used to color the blood pressure interval scatter plots of all sleep cycles based on the timing overlap ratio between each blood pressure sudden change band and all blood oxygen sudden change bands and all pulse sudden change bands, so as to obtain the blood pressure interval colored scatter plot of each sleep cycle; at the same time, based on the timing overlap ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands, the blood oxygen interval scatter plots of all sleep cycles are colored, so as to obtain the blood oxygen interval colored scatter plot of each sleep cycle; at the same time, based on the timing overlap ratio between each pulse sudden change band and all blood pressure sudden change bands and all blood oxygen sudden change bands, the pulse interval scatter plots of all sleep cycles are colored, so as to obtain the pulse interval colored scatter plot of each sleep cycle;

[0115] The risk prediction subunit is used to input the blood pressure interval color scatter plot, blood oxygen interval color scatter plot and pulse interval color scatter plot of all sleep cycles into the risk prediction model to obtain the patient's risk prediction coefficient.

[0116] In this embodiment, the timing coincidence ratio between each blood pressure sudden change band and all blood oxygen sudden change bands and all pulse sudden change bands is calculated, including:

[0117] The ratio of the length of the time period corresponding to each blood pressure sudden change band, the time period corresponding to all blood oxygen sudden change bands and the time period corresponding to all pulse sudden change bands, to the length of the time period corresponding to each blood pressure sudden change band shall be regarded as the timing overlap ratio between each blood pressure sudden change band and all blood oxygen sudden change bands and all pulse sudden change bands.

[0118] In this embodiment, the timing coincidence ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands is calculated, including:

[0119] The ratio of the length of the time period corresponding to each blood oxygen sudden change band, the time period corresponding to all blood pressure sudden change bands and the time period corresponding to all pulse sudden change bands, to the length of the time period corresponding to each blood oxygen sudden change band shall be regarded as the timing overlap ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands.

[0120] In this embodiment, the timing coincidence ratio between each pulse sudden change band and all blood pressure sudden change bands and all blood oxygen sudden change bands is calculated, including:

[0121] The ratio of the length of the time period corresponding to each pulse sudden change band, the time period corresponding to all blood pressure sudden change bands and the time period corresponding to all blood oxygen sudden change bands, and the length of the time period corresponding to each pulse sudden change band shall be regarded as the timing overlap ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands.

[0122] In this embodiment, the blood pressure interval scatter plots of all sleep cycles are colored based on the timing overlap ratio between each blood pressure sudden change band and all blood oxygen sudden change bands and all pulse sudden change bands, and the blood pressure interval color scatter plot of each sleep cycle is obtained, that is:

[0123] The timing overlap ratio between each blood pressure sudden change band and all blood oxygen sudden change bands and all pulse sudden change bands is used to query the first timing overlap ratio-RGB value list, determine the RGB value corresponding to the timing overlap ratio between each blood pressure sudden change band and all blood oxygen sudden change bands and all pulse sudden change bands, and set the color of the coordinate scatter point corresponding to each blood pressure sudden change band in the blood pressure interval scatter diagram of all sleep cycles to the corresponding RGB value, that is, complete the coloring process of the blood pressure interval scatter diagram of all sleep cycles, and obtain the blood pressure interval colored scatter diagram of all sleep cycles.

[0124] In this embodiment, the blood oxygen interval scatter plots of all sleep cycles are colored based on the timing overlap ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands, and the blood oxygen interval color scatter plot of each sleep cycle is obtained, that is:

[0125] The timing overlap ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands is used to query the second timing overlap ratio-RGB value list, determine the RGB value corresponding to the timing overlap ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands, and set the color of the coordinate scatter point corresponding to each blood oxygen sudden change band in the blood oxygen interval scatter diagram of all sleep cycles to the corresponding RGB value, that is, complete the coloring process of the blood oxygen interval scatter diagram of all sleep cycles, and obtain the blood oxygen interval coloring scatter diagram of all sleep cycles.

[0126] In this embodiment, the pulse interval scatter plots of all sleep cycles are colored based on the timing overlap ratio between each pulse sudden change band and all blood pressure sudden change bands and all blood oxygen sudden change bands, and the pulse interval color scatter plot of each sleep cycle is obtained, which is:

[0127] The timing overlap ratio between each pulse sudden change band and all blood pressure sudden change bands and all blood oxygen sudden change bands is used to query the third timing overlap ratio-RGB value list, and the RGB value corresponding to the timing overlap ratio between each pulse sudden change band and all blood pressure sudden change bands and all blood oxygen sudden change bands is determined, and the color of the coordinate scatter point corresponding to each pulse sudden change band in the pulse interval scatter diagram of all sleep cycles is set to the corresponding RGB value, that is, the coloring process of the pulse interval scatter diagram of all sleep cycles is completed, and the pulse interval coloring scatter diagram of all sleep cycles is obtained.

[0128] In this embodiment, the risk prediction model is obtained by training the neural network model using blood pressure interval colored scatter plots, blood oxygen interval colored scatter plots, and pulse interval colored scatter plots of all sleep cycles during a large number of sleep processes of a large number of patients (as model inputs), and manually assessed risk prediction coefficients of patients after the corresponding sleep process (as model outputs) as training samples.

[0129] The beneficial effects of the above technology are as follows: according to the timing overlap ratio between each blood pressure sudden change band and all blood oxygen sudden change bands and all pulse sudden change bands, the timing overlap ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands, and the timing overlap ratio between each pulse sudden change band and all blood pressure sudden change bands and all blood oxygen sudden change bands, the blood pressure interval scatter plot, blood oxygen interval scatter plot, and pulse interval scatter plot of all sleep cycles are colored to obtain the blood pressure interval colored scatter plot, blood oxygen interval colored scatter plot, and pulse interval colored scatter plot of all sleep cycles of each sleep cycle, and the blood pressure interval colored scatter plot, blood oxygen interval colored scatter plot, and pulse interval colored scatter plot of all current sleep cycles of the patient are used in combination with the pre-trained model to achieve accurate prediction of the patient's possible risk level of cardiovascular disease.

[0130] Embodiment 9:

[0131] Based on Example 1, Figure 4 , also includes:

[0132] The smart charging box is used to load the air pump type blood pressure recorder, the blood oxygen ring and the data analysis display device when the patient is not wearing the air pump type blood pressure recorder and the blood oxygen ring, and at the same time, charge the air pump type blood pressure recorder, the blood oxygen ring and the data analysis display device.

[0133] The beneficial effect of the above technology is that the wearable continuous blood pressure monitoring device can be charged on the move, thereby improving its portability.

[0134] Embodiment 10:

[0135] The present invention provides a wearable continuous blood pressure monitoring system, comprising a wearable continuous blood pressure monitoring device as described in any one of Embodiments 1 to 9, and a cloud storage system for storing a patient's continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, continuous pulse monitoring waveform, current sleep cycle analysis results, and risk prediction coefficient obtained during the operation of the wearable continuous blood pressure monitoring device as described in any one of Embodiments 1 to 9.

[0136] The beneficial effects of the above technology are: based on the cloud storage system in the wearable continuous blood pressure monitoring system, cloud backup of the patient's continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, continuous pulse monitoring waveform, current sleep cycle analysis results and risk prediction coefficient obtained during the operation of the wearable continuous blood pressure monitoring device can be realized.

[0137] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A wearable continuous blood pressure monitoring device, characterized in that: include: Air pump blood pressure recorder, used to measure the diastolic and systolic blood pressure of patients in real time during sleep; The blood oxygen ring is used to measure the patient's blood oxygen saturation and pulse rate in real time while sleeping; The data analysis and display device is used to analyze the patient's current sleep cycle analysis results based on the patient's diastolic blood pressure, systolic blood pressure, blood oxygen saturation and pulse rate in the most recent preset cycle, and to analyze the patient's risk prediction coefficient based on the patient's diastolic blood pressure, systolic blood pressure, blood oxygen saturation, pulse rate and current sleep cycle analysis results in the most recent preset cycle.

2. The wearable continuous blood pressure monitoring device according to claim 1, characterized in that: The data analysis and display device comprises: The data simulation wave module is used to fit the diastolic pressure and systolic pressure of the patient at each moment in the most recent preset cycle according to the time series wave to generate the patient's continuous blood pressure monitoring waveform. At the same time, the patient's blood oxygen saturation in the most recent preset cycle is fitted according to the time series wave to generate the patient's continuous blood oxygen monitoring waveform. At the same time, the patient's pulse number in the most recent preset cycle is fitted according to the time series wave to generate the patient's continuous pulse monitoring waveform; The sleep analysis module is used to analyze the patient's current sleep cycle analysis results based on the latest acquired continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform and continuous pulse monitoring waveform of the patient; The risk prediction module is used to analyze the patient's risk prediction coefficient based on the patient's continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, continuous pulse monitoring waveform and current sleep cycle analysis results; The oscilloscope module is used to display the latest patient's continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, continuous pulse monitoring waveform, current sleep cycle analysis results and the patient's risk prediction coefficient to the user.

3. The wearable continuous blood pressure monitoring device according to claim 2, characterized in that: Sleep analysis module, including: A physiological characteristic acquisition submodule is used to acquire the basic physiological characteristics of the patient; The sleep analysis submodule is used to input the patient's basic biological characteristics and the latest acquired continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, and continuous pulse monitoring waveform into the sleep cycle analysis model to obtain the patient's current sleep cycle analysis results.

4. The wearable continuous blood pressure monitoring device according to claim 2, characterized in that: Risk prediction module, including: The sudden change band identification submodule is used to determine all blood pressure sudden change bands in the patient's continuous blood pressure monitoring waveform, all blood oxygen sudden change bands in the continuous blood oxygen monitoring waveform, and all pulse sudden change bands in the continuous pulse monitoring waveform; The sudden change difference calculation submodule is used to determine the preceding adjacent blood pressure sudden change difference and the succeeding adjacent blood pressure sudden change difference of each blood pressure sudden change band except the blood pressure sudden change amplitude of the first blood pressure sudden change band in the patient's continuous blood pressure monitoring waveform, the preceding adjacent blood oxygen sudden change difference and the succeeding adjacent blood oxygen sudden change difference of each blood oxygen sudden change band except the blood oxygen sudden change amplitude of the first blood oxygen sudden change band in the patient's continuous blood oxygen monitoring waveform, and the preceding adjacent pulse sudden change difference and the succeeding adjacent pulse sudden change difference of each pulse sudden change band except the pulse sudden change amplitude of the first pulse sudden change band in the patient's continuous pulse monitoring waveform; The risk prediction submodule is used to analyze the patient's risk prediction coefficient based on the preceding adjacent blood pressure sudden change difference and the succeeding adjacent blood pressure sudden change difference of each blood pressure sudden change band except the blood pressure sudden change amplitude of the first blood pressure sudden change band in the patient's continuous blood pressure monitoring waveform, the preceding adjacent blood oxygen sudden change difference and the succeeding adjacent blood oxygen sudden change difference of each blood oxygen sudden change band except the blood oxygen sudden change amplitude of the first blood oxygen sudden change band in the patient's continuous blood oxygen monitoring waveform, the preceding adjacent pulse sudden change difference and the succeeding adjacent pulse sudden change difference of each pulse sudden change band except the pulse sudden change amplitude of the first pulse sudden change band in the patient's continuous pulse monitoring waveform, and the current sleep cycle analysis result.

5. The wearable continuous blood pressure monitoring device according to claim 4, characterized in that: The sudden change band identification submodule includes: A first sudden change wave band identification unit is used to input the patient's continuous blood pressure monitoring waveform into the blood pressure sudden change wave identification model to determine all blood pressure sudden change wave bands in the patient's continuous blood pressure monitoring waveform; The second sudden change band identification unit is used to input the patient's continuous blood oxygen monitoring waveform into the blood oxygen sudden change wave identification model to determine all blood oxygen sudden change bands in the patient's continuous blood oxygen monitoring waveform; The third sudden change band identification unit is used to input the patient's continuous pulse monitoring waveform into the pulse sudden change wave identification model to determine all the pulse sudden change bands in the patient's continuous pulse monitoring waveform.

6. The wearable continuous blood pressure monitoring device according to claim 4, characterized in that: The sudden change difference calculation submodule includes: The first calculation unit is used to determine the difference between the blood pressure sudden change amplitude of each blood pressure sudden change band except the blood pressure sudden change amplitude of the first blood pressure sudden change band in the patient's continuous blood pressure monitoring waveform and the blood pressure sudden change amplitude of the adjacent previous blood pressure sudden change band and the blood pressure sudden change amplitude of the adjacent next blood pressure sudden change band, as the previous adjacent blood pressure sudden change difference and the next adjacent blood pressure sudden change difference of the corresponding blood pressure sudden change band; The second calculation unit is used to determine the difference between the blood oxygen sudden change amplitude of each blood oxygen sudden change band except the blood oxygen sudden change amplitude of the first blood oxygen sudden change band in the patient's continuous blood oxygen monitoring waveform and the blood oxygen sudden change amplitude of the adjacent previous blood oxygen sudden change band and the blood oxygen sudden change amplitude of the adjacent next blood oxygen sudden change band, as the previous adjacent blood oxygen sudden change difference and the next adjacent blood oxygen sudden change difference of the corresponding blood oxygen sudden change band; The third calculation unit is used to determine the difference between the pulse sudden change amplitude of each pulse sudden change band except the pulse sudden change amplitude of the first pulse sudden change band in the patient's continuous pulse monitoring waveform and the pulse sudden change amplitude of the corresponding adjacent previous pulse sudden change band and the pulse sudden change amplitude of the adjacent subsequent pulse sudden change band, as the previous adjacent pulse sudden change difference and the subsequent adjacent pulse sudden change difference of the corresponding pulse sudden change band.

7. The wearable continuous blood pressure monitoring device according to claim 4, characterized in that: Risk prediction submodule, including: A first scatter plot generating unit is used to generate a blood pressure interval scatter plot for each sleep cycle by taking the preceding adjacent blood pressure sudden change difference and the following adjacent blood pressure sudden change difference of all blood pressure sudden change bands belonging to each sleep cycle as the abscissa value and the ordinate value of the two-dimensional coordinate system, respectively, based on the current sleep cycle analysis result; A second scatter plot generating unit is used to generate a blood oxygen interval scatter plot of each sleep cycle by taking the preceding adjacent blood oxygen sudden change difference and the following adjacent blood oxygen sudden change difference of all blood oxygen sudden change bands belonging to each sleep cycle as the abscissa value and the ordinate value of the two-dimensional coordinate system respectively based on the current sleep cycle analysis result; A third scatter plot generating unit is used to generate a pulse interval scatter plot of each sleep cycle by taking the preceding adjacent pulse sudden change differences and the following adjacent pulse sudden change differences of all pulse sudden change bands belonging to each sleep cycle as the abscissa value and the ordinate value of the two-dimensional coordinate system, respectively, based on the current sleep cycle analysis result; The risk analysis unit is used to analyze the patient's risk prediction coefficient based on the blood pressure interval scatter plot, blood oxygen interval scatter plot, and pulse interval scatter plot of each sleep cycle.

8. The wearable continuous blood pressure monitoring device according to claim 7, characterized in that: The risk analysis unit also includes: The timing coincidence ratio calculation subunit is used to calculate the timing coincidence ratio between each blood pressure sudden change band and all blood oxygen sudden change bands and all pulse sudden change bands, and at the same time, calculate the timing coincidence ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands, and at the same time, calculate the timing coincidence ratio between each pulse sudden change band and all blood pressure sudden change bands and all blood oxygen sudden change bands; A scatter plot coloring subunit is used to color the blood pressure interval scatter plots of all sleep cycles based on the timing overlap ratio between each blood pressure sudden change band and all blood oxygen sudden change bands and all pulse sudden change bands, so as to obtain the blood pressure interval colored scatter plot of each sleep cycle; at the same time, based on the timing overlap ratio between each blood oxygen sudden change band and all blood pressure sudden change bands and all pulse sudden change bands, the blood oxygen interval scatter plots of all sleep cycles are colored, so as to obtain the blood oxygen interval colored scatter plot of each sleep cycle; at the same time, based on the timing overlap ratio between each pulse sudden change band and all blood pressure sudden change bands and all blood oxygen sudden change bands, the pulse interval scatter plots of all sleep cycles are colored, so as to obtain the pulse interval colored scatter plot of each sleep cycle; The risk prediction subunit is used to input the blood pressure interval color scatter plot, blood oxygen interval color scatter plot and pulse interval color scatter plot of all sleep cycles into the risk prediction model to obtain the patient's risk prediction coefficient.

9. The wearable continuous blood pressure monitoring device according to claim 1, characterized in that: Also includes: The intelligent charging box is used to load the air pump type blood pressure recorder, the blood oxygen ring and the data analysis display device, and at the same time, charge the air pump type blood pressure recorder, the blood oxygen ring and the data analysis display device.

10. A wearable continuous blood pressure monitoring system, characterized in that: It comprises a wearable continuous blood pressure monitoring device as described in any one of claims 1 to 9, and a cloud storage system for storing the patient's continuous blood pressure monitoring waveform, continuous blood oxygen monitoring waveform, continuous pulse monitoring waveform, current sleep cycle analysis results and risk prediction coefficient obtained during the operation of the wearable continuous blood pressure monitoring device as described in any one of claims 1 to 9.

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