Non-contact blood pressure measuring method and device based on radar technology

Abstract

The invention relates to the technical field of blood pressure measurement, and discloses a non-contact blood pressure measurement method and device based on the radar technology, and the method comprises the steps: carrying out the signal detection operation of a target body part of a to-be-measured user through a radar detector, and obtaining a signal parameter of an echo signal of the to-be-measured user; biological signal information of the user to be measured is determined according to signal parameters of the echo signals; according to the biological signal information, performing blood pressure prediction operation on the to-be-measured user to obtain blood pressure parameters of the to-be-measured user. It can be seen that the echo signal of the to-be-measured user can be obtained through the radar detector, blood pressure prediction is conducted on the to-be-measured user according to the echo signal, and the blood pressure parameters of the to-be-measured user are obtained, so that the blood pressure can be measured in a non-contact mode, and the blood pressure measurement flexibility of a measured person is improved; therefore, the blood pressure measurement efficiency and accuracy of the testee are improved, the measurement discomfort of the testee is reduced, and the equipment use experience of the testee is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of blood pressure measurement, and in particular to a non-contact blood pressure measurement method and device based on radar technology. Background Art

[0002] Blood pressure is an important indicator of cardiovascular health. Maintaining an appropriate blood pressure level is essential to ensure the normal functioning of various physiological functions of the human body. Regular blood pressure measurement helps to detect abnormal blood pressure fluctuations early, so that timely and effective intervention measures can be taken.

[0003] At present, electronic cuff sphygmomanometers are the mainstream contact blood pressure measurement tools, which are widely favored due to their convenient operation and relatively high accuracy. However, since this blood pressure measurement method requires the cuff to be pressurized, it may cause a certain degree of physical discomfort to the person being measured, and for special groups, such as the disabled or burn patients, the device cannot be used normally, thus affecting the efficiency and accuracy of blood pressure measurement. In view of this, it is particularly important to propose a non-contact blood pressure measurement method based on radar technology. Summary of the invention

[0004] The present invention provides a non-contact blood pressure measurement method and device based on radar technology, which can measure blood pressure in a non-contact manner, improve the flexibility of blood pressure measurement of the subject, thereby improving the efficiency and accuracy of blood pressure measurement of the subject, and reduce the measurement discomfort of the subject, thereby improving the device usage experience of the subject.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a non-contact blood pressure measurement method based on radar technology, the method comprising:

[0006] Performing a signal detection operation on a target body part of the user to be measured by a preset radar detector to obtain signal parameters of an echo signal of the user to be measured;

[0007] Determining biological signal information of the user to be measured according to the signal parameters of the echo signal;

[0008] According to the biological signal information of the user to be measured, a blood pressure prediction operation is performed on the user to be measured to obtain the blood pressure parameters of the user to be measured; the blood pressure parameters include systolic pressure parameters and / or diastolic pressure parameters.

[0009] As an optional implementation, in the first aspect of the present invention, the signal parameter of the echo signal includes at least one of a waveform rise rate parameter, a waveform peak parameter, a waveform fall rate parameter, a waveform period parameter, a waveform frequency parameter, and a waveform amplitude parameter of the echo signal, and the biological signal information of the user to be measured includes at least one of vascular elasticity information, vascular blood flow velocity information, vascular blood flow resistance information, vascular blood flow information, and vascular blood flow change time information of the user to be measured;

[0010] The step of performing a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured to obtain the blood pressure parameters of the user to be measured includes:

[0011] Determining cardiac characteristic information of the user to be measured according to the biosignal information of the user to be measured; the cardiac characteristic information of the user to be measured includes cardiac contraction characteristic information and / or cardiac diastole characteristic information of the user to be measured;

[0012] According to the heart characteristic information of the user to be measured, a blood pressure prediction operation is performed on the user to be measured to obtain the blood pressure parameters of the user to be measured.

[0013] As an optional implementation, in the first aspect of the present invention, after performing a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured to obtain the blood pressure parameter of the user to be measured, the method further includes:

[0014] Acquire first target information of the user to be measured; the first target information includes basic information and / or health information of the user to be measured, and the basic information of the user to be measured includes at least one of height information, weight information, gender information and body shape information of the user to be measured;

[0015] Determining, according to the first target information of the user to be measured, a first blood pressure prediction influence corresponding to the first target information, and determining, according to the first blood pressure prediction influence corresponding to the first target information, a first blood pressure prediction influence degree corresponding to the first target information;

[0016] Determine whether the first blood pressure prediction impact degree is greater than or equal to a preset first impact degree threshold; if so, correct the blood pressure parameters of the user to be measured according to the first target information.

[0017] As an optional implementation, in the first aspect of the present invention, after performing a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured to obtain the blood pressure parameter of the user to be measured, the method further includes:

[0018] Acquire second target information of the user to be measured; the second target information includes at least one of activity state information, sleep state information and psychological state information of the user to be measured, the activity state information includes activity intensity information and / or activity duration information, and the sleep state information includes sleep depth information and / or sleep duration information;

[0019] Determining, according to the second target information of the user to be measured, a second blood pressure prediction influence corresponding to the second target information, and determining, according to the second blood pressure prediction influence corresponding to the second target information, a second blood pressure prediction influence degree corresponding to the second target information;

[0020] Determine whether the second blood pressure prediction impact degree is greater than or equal to a preset second impact degree threshold; if so, correct the blood pressure parameter of the user to be measured according to the second target information.

[0021] As an optional implementation, in the first aspect of the present invention, the signal detection operation is performed on the target body part of the user to be measured by a preset radar detector to obtain the signal parameters of the echo signal of the user to be measured, including:

[0022] Acquire first detection reference information of the user to be measured; the first detection reference information of the user to be measured includes health status information and / or current activity information of the user to be measured, and the current activity information includes at least one of current activity intensity information, current activity posture information, current activity amplitude information, and activity duration information;

[0023] Determine, according to the first detection reference information of the user to be measured, a detection control parameter corresponding to a preset radar detector; the detection control parameter includes at least one of a detection position parameter, a detection distance parameter, a detection wave parameter, a detection duration parameter, and a signal receiving position parameter;

[0024] According to the detection control parameters corresponding to the radar detector, a signal detection operation is performed on the target body part of the user to be measured to obtain signal parameters of the echo signal of the user to be measured.

[0025] As an optional implementation manner, in the first aspect of the present invention, before determining the detection control parameter corresponding to the preset radar detector according to the first detection reference information of the user to be measured, the method further includes:

[0026] Acquire second detection reference information of the user to be measured; the second detection reference information of the user to be measured includes clothing information and / or electronic device information of the user to be measured, the clothing information includes at least one of clothing type information, clothing thickness information, clothing quantity information, clothing wearing position information, and clothing wearing tightness information, and the electronic device information includes at least one of electronic device type information, electronic device position information, and electronic device working status information;

[0027] Determine, according to the second detection reference information of the user to be measured, a detection influence situation corresponding to the second detection reference information, and determine, according to the detection influence situation corresponding to the second detection reference information, a detection influence degree corresponding to the second detection reference information;

[0028] Determining whether the detection impact degree is greater than or equal to a preset detection impact degree threshold;

[0029] When the judgment result is yes, determining the detection control parameter corresponding to the preset radar detector according to the first detection reference information and the second detection reference information;

[0030] When the judgment result is no, the operation of determining the detection control parameter corresponding to the preset radar detector according to the first detection reference information of the user to be measured is triggered.

[0031] As an optional implementation, in the first aspect of the present invention, before determining the biological signal information of the user to be measured according to the signal parameters of the echo signal, the method further includes:

[0032] Acquire detection characteristic parameters of the radar detector when performing the signal detection operation; the detection characteristic parameters include at least one of a detection jitter amplitude parameter, a detection jitter frequency parameter, and a detection jitter time parameter;

[0033] Acquire the equipment parameters of the radar detector, and determine the influence of the detection wave corresponding to the radar detector according to the detection characteristic parameters and the equipment parameters; the equipment parameters of the radar detector include the equipment model parameters and / or equipment loss parameters of the radar detector;

[0034] Determine the degree of influence of the detection wave corresponding to the radar detector according to the influence of the detection wave, and judge whether the degree of influence of the detection wave is greater than or equal to a preset threshold value of the degree of influence of the detection wave;

[0035] When the judgment result is yes, the signal processing parameters of the echo signal are determined according to the influence of the detection wave, and the echo signal is processed according to the signal processing parameters to update the echo signal.

[0036] The second aspect of the present invention discloses a non-contact blood pressure measurement device based on radar technology, the device comprising:

[0037] A detection module, used to perform a signal detection operation on a target body part of a user to be measured through a preset radar detector, and obtain signal parameters of an echo signal of the user to be measured;

[0038] A determination module, used to determine the biological signal information of the user to be measured according to the signal parameters of the echo signal;

[0039] The prediction module is used to perform a blood pressure prediction operation on the user to be measured based on the biological signal information of the user to be measured, so as to obtain the blood pressure parameters of the user to be measured; the blood pressure parameters include systolic pressure parameters and / or diastolic pressure parameters.

[0040] As an optional implementation, in the second aspect of the present invention, the signal parameter of the echo signal includes at least one of a waveform rise rate parameter, a waveform peak parameter, a waveform fall rate parameter, a waveform period parameter, a waveform frequency parameter, and a waveform amplitude parameter of the echo signal, and the biological signal information of the user to be measured includes at least one of vascular elasticity information, vascular blood flow velocity information, vascular blood flow resistance information, vascular blood flow information, and vascular blood flow change time information of the user to be measured;

[0041] The prediction module performs a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured, and obtains the blood pressure parameters of the user to be measured in a manner that specifically includes:

[0042] Determining cardiac characteristic information of the user to be measured according to the biosignal information of the user to be measured; the cardiac characteristic information of the user to be measured includes cardiac contraction characteristic information and / or cardiac diastole characteristic information of the user to be measured;

[0043] According to the heart characteristic information of the user to be measured, a blood pressure prediction operation is performed on the user to be measured to obtain the blood pressure parameters of the user to be measured.

[0044] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0045] a first acquisition module, configured to acquire first target information of the user to be measured after the prediction module performs a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured and obtains the blood pressure parameters of the user to be measured; the first target information includes basic information and / or health status information of the user to be measured, and the basic information of the user to be measured includes at least one of height information, weight information, gender information and body shape information of the user to be measured;

[0046] The determination module is further configured to determine, based on the first target information of the user to be measured, a first blood pressure prediction impact situation corresponding to the first target information, and determine, based on the first blood pressure prediction impact situation corresponding to the first target information, a first blood pressure prediction impact degree corresponding to the first target information;

[0047] A first judgment module, used to judge whether the first blood pressure prediction impact degree is greater than or equal to a preset first impact degree threshold;

[0048] The first correction module is used to correct the blood pressure parameters of the user to be measured according to the first target information when the judgment result of the first judgment module is yes.

[0049] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0050] a second acquisition module, configured to acquire second target information of the user to be measured after the prediction module performs a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured and obtains the blood pressure parameter of the user to be measured; the second target information includes at least one of the activity state information, sleep state information and psychological state information of the user to be measured, the activity state information includes activity intensity information and / or activity duration information, and the sleep state information includes sleep depth information and / or sleep duration information;

[0051] The determination module is further configured to determine, based on the second target information of the user to be measured, a second blood pressure prediction impact corresponding to the second target information, and determine, based on the second blood pressure prediction impact corresponding to the second target information, a second blood pressure prediction impact degree corresponding to the second target information;

[0052] A second judgment module is used to judge whether the second blood pressure prediction influence degree is greater than or equal to a preset second influence degree threshold;

[0053] The second correction module is used to correct the blood pressure parameters of the user to be measured according to the second target information when the judgment result of the second judgment module is yes.

[0054] As an optional implementation, in the second aspect of the present invention, the detection module performs a signal detection operation on the target body part of the user to be measured through a preset radar detector, and the method of obtaining the signal parameter of the echo signal of the user to be measured specifically includes:

[0055] Acquire first detection reference information of the user to be measured; the first detection reference information of the user to be measured includes health status information and / or current activity information of the user to be measured, and the current activity information includes at least one of current activity intensity information, current activity posture information, current activity amplitude information, and activity duration information;

[0056] Determine, according to the first detection reference information of the user to be measured, a detection control parameter corresponding to a preset radar detector; the detection control parameter includes at least one of a detection position parameter, a detection distance parameter, a detection wave parameter, a detection duration parameter, and a signal receiving position parameter;

[0057] According to the detection control parameters corresponding to the radar detector, a signal detection operation is performed on the target body part of the user to be measured to obtain signal parameters of the echo signal of the user to be measured.

[0058] As an optional implementation, in the second aspect of the present invention, the detection module performs a signal detection operation on the target body part of the user to be measured through a preset radar detector, and the method of obtaining the signal parameter of the echo signal of the user to be measured specifically includes:

[0059] Before determining the detection control parameters corresponding to the preset radar detector according to the first detection reference information of the user to be measured, obtaining the second detection reference information of the user to be measured; the second detection reference information of the user to be measured includes clothing information and / or electronic device carrying information of the user to be measured, the clothing information includes at least one of clothing type information, clothing thickness information, clothing quantity information, clothing wearing position information and clothing wearing tightness information, and the electronic device carrying information includes at least one of electronic device type information, electronic device position information and electronic device working status information;

[0060] Determine, according to the second detection reference information of the user to be measured, a detection influence situation corresponding to the second detection reference information, and determine, according to the detection influence situation corresponding to the second detection reference information, a detection influence degree corresponding to the second detection reference information;

[0061] Determining whether the detection impact degree is greater than or equal to a preset detection impact degree threshold;

[0062] When the judgment result is yes, determining the detection control parameter corresponding to the preset radar detector according to the first detection reference information and the second detection reference information;

[0063] When the judgment result is no, the operation of determining the detection control parameter corresponding to the preset radar detector according to the first detection reference information of the user to be measured is triggered.

[0064] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0065] A third acquisition module is used to obtain, before the determination module determines the biosignal information of the user to be measured according to the signal parameters of the echo signal, detection characteristic parameters of the radar detector when performing the signal detection operation; the detection characteristic parameters include at least one of a detection jitter amplitude parameter, a detection jitter frequency parameter and a detection jitter time parameter; and obtain device parameters of the radar detector; the device parameters of the radar detector include device model parameters and / or device loss parameters of the radar detector;

[0066] The determination module is further used to determine, based on the detection characteristic parameters and the device parameters, how the detection wave corresponding to the radar detector is affected; and to determine, based on the detection wave being affected, how much the detection wave corresponding to the radar detector is affected;

[0067] A third judgment module is used to judge whether the degree of influence of the detection wave is greater than or equal to a preset threshold value of the degree of influence of the detection wave;

[0068] The determination module is also used to determine the signal processing parameters of the echo signal according to the influence of the detection wave when the judgment result of the third judgment module is yes; and process the echo signal according to the signal processing parameters to update the echo signal.

[0069] The third aspect of the present invention discloses another non-contact blood pressure measurement device based on radar technology, the device comprising:

[0070] A memory storing executable program code;

[0071] a processor coupled to the memory;

[0072] The processor calls the executable program code stored in the memory to execute the non-contact blood pressure measurement method based on radar technology disclosed in the first aspect of the present invention.

[0073] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the non-contact blood pressure measurement method based on radar technology disclosed in the first aspect of the present invention.

[0074] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0075] In the embodiment of the present invention, a radar detector is used to perform a signal detection operation on the target body part of the user to be measured to obtain the signal parameters of the echo signal of the user to be measured; the biological signal information of the user to be measured is determined based on the signal parameters of the echo signal; and a blood pressure prediction operation is performed on the user to be measured based on the biological signal information to obtain the blood pressure parameters of the user to be measured. It can be seen that the implementation of the present invention can obtain the echo signal of the user to be measured through the radar detector, and predict the blood pressure of the user to be measured based on the echo signal to obtain the blood pressure parameters. In this way, the blood pressure can be measured in a non-contact manner, which improves the flexibility of the blood pressure measurement of the subject, thereby improving the efficiency and accuracy of the blood pressure measurement of the subject, and reducing the measurement discomfort of the subject, thereby improving the device usage experience of the subject. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0077] Figure 1 is a schematic diagram of a non-contact blood pressure measurement scenario based on radar technology disclosed in an embodiment of the present invention;

[0078] Figure 2 It is a flow chart of a non-contact blood pressure measurement method based on radar technology disclosed in an embodiment of the present invention;

[0079] Figure 3 It is a flow chart of another non-contact blood pressure measurement method based on radar technology disclosed in an embodiment of the present invention;

[0080] Figure 4 It is a structural schematic diagram of a non-contact blood pressure measurement device based on radar technology disclosed in an embodiment of the present invention;

[0081] Figure 5 is a schematic structural diagram of another non-contact blood pressure measurement device based on radar technology disclosed in an embodiment of the present invention;

[0082] Figure 6is a structural schematic diagram of another non-contact blood pressure measurement device based on radar technology disclosed in an embodiment of the present invention;

[0083] Figure 7 It is a schematic diagram of a prediction model framework used in a non-contact blood pressure measurement disclosed in an embodiment of the present invention;

[0084] Figure 8 It is a schematic diagram of a network framework of a prediction model disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0085] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0086] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0087] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0088] The present invention discloses a non-contact blood pressure measurement method and device based on radar technology, which can measure blood pressure in a non-contact manner, improve the flexibility of blood pressure measurement of the subject, thereby improving the efficiency and accuracy of blood pressure measurement of the subject, and reduce the measurement discomfort of the subject, thereby improving the device usage experience of the subject.

[0089] Embodiment 1

[0090] See also Figure 2 , Figure 2The figure is a flow chart of a non-contact blood pressure measurement method based on radar technology disclosed in an embodiment of the present invention. Optionally, the method can be implemented by a blood pressure measurement device, which can be integrated in a radar detector or exist independently of the radar detector, or can be a local server or cloud server for processing a non-contact blood pressure measurement process based on radar technology, etc., which is not limited in the embodiment of the present invention. Figure 2 As shown, the non-contact blood pressure measurement method based on radar technology may include the following operations:

[0091] 101. Perform signal detection operations on a target body part of a user to be measured by using a preset radar detector to obtain signal parameters of an echo signal of the user to be measured.

[0092] In the embodiment of the present invention, optionally, the target body part may be the chest, neck, wrist, etc.

[0093] Further optionally, the signal parameters of the echo signal include at least one of a waveform rise rate parameter, a waveform peak parameter, a waveform fall rate parameter, a waveform period parameter, a waveform frequency parameter and a waveform amplitude parameter of the echo signal.

[0094] 102. Determine biological signal information of the user to be measured according to signal parameters of the echo signal.

[0095] In an embodiment of the present invention, optionally, the biological signal information of the user to be measured includes at least one of vascular elasticity information, vascular blood flow velocity information, vascular blood flow resistance information, vascular blood flow information and vascular blood flow change time information of the user to be measured.

[0096] 103. Perform a blood pressure prediction operation on the user to be measured based on the biological signal information of the user to be measured to obtain the blood pressure parameters of the user to be measured.

[0097] In the embodiment of the present invention, optionally, the blood pressure parameter includes a systolic pressure parameter and / or a diastolic pressure parameter.

[0098] For example, if Figure 1 As shown, Figure 1 Schematic diagram of a non-contact blood pressure measurement scenario based on radar technology disclosed in an embodiment of the present invention, wherein a radar detector is first used to transmit specific microwave signals to the chest of a user to be measured, and when these incident signals encounter the chest, they are reflected to generate echoes, thereby realizing chest signal detection of the target, and then a preset prediction model (such as Figure 7As shown, there are two main modules in the blood pressure measurement device: one is the radar signal processing DSP module, and the other is the inference AI framework for blood pressure prediction; the radar module can adopt FMWC technology, mainly because FMWC can measure the distance and speed of the target at the same time, and has a mature and fast data signal processing chain), and according to the signal parameters of the echo signal, determine the biological signal information of the user to be measured (the prediction model can analyze the echo signal in detail), so as to predict the blood pressure parameters of the user to be measured based on the biological signal information. It should be noted that the principle of the aforementioned implementation process is that the chest of the user to be measured causes slight displacement changes on the surface of the chest cavity due to the physiological movement of the internal heart. These change information modulates the incident signal of the radar. Therefore, the echo signal generated from the chest carries the heart movement information of the user to be measured.

[0099] It can be seen that the implementation of the embodiment of the present invention can obtain the echo signal of the user to be measured through the radar detector, and predict the blood pressure of the user to be measured based on the echo signal to obtain his blood pressure parameters. In this way, the blood pressure can be measured in a non-contact manner, thereby improving the flexibility of blood pressure measurement of the subject, thereby improving the efficiency and accuracy of blood pressure measurement of the subject, and reducing the subject's discomfort during measurement, thereby improving the subject's experience of using the device.

[0100] In an optional embodiment, after performing a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured in the above step 103 to obtain the blood pressure parameters of the user to be measured, the method further includes:

[0101] Acquire first target information of the user to be measured;

[0102] Determine, according to the first target information of the user to be measured, a first blood pressure prediction influence situation corresponding to the first target information, and determine, according to the first blood pressure prediction influence situation corresponding to the first target information, a first blood pressure prediction influence degree corresponding to the first target information;

[0103] Determine whether the first blood pressure prediction influence degree is greater than or equal to a preset first influence degree threshold; if so, correct the blood pressure parameters of the user to be measured according to the first target information.

[0104] In this optional embodiment, optionally, the first target information includes basic information and / or health status information of the user to be measured, wherein the basic information of the user to be measured includes at least one of height information, weight information, gender information and body shape information of the user to be measured.

[0105] Furthermore, when it is determined that the first blood pressure prediction impact degree is less than a preset first impact degree threshold, there is no need to correct the blood pressure parameters, and the predicted blood pressure parameters are directly used.

[0106] For example, if the current breathing rate (one of the health status information) of the user to be measured is high, but his breathing rate is actually within the normal range when he is actually sitting still, the predicted blood pressure parameters may be biased high. At this time, it can be determined that the first blood pressure prediction influence degree is greater than or equal to the preset first influence degree threshold, so that the blood pressure parameters of the user to be measured can be corrected according to his current breathing rate.

[0107] It can be seen that this optional embodiment can determine the corresponding first blood pressure prediction impact based on the first target information of the user to be measured, and then determine whether it is necessary to further correct the blood pressure parameters of the user to be measured. This is conducive to improving the correction reliability and accuracy of the blood pressure parameters of the user to be measured, and then it is conducive to accurately predicting the blood pressure parameters of the user to be measured, thereby helping to improve the accuracy of subsequent health status assessment of the user to be measured.

[0108] In another optional embodiment, after performing a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured in the above step 103 to obtain the blood pressure parameters of the user to be measured, the method further includes:

[0109] Acquire second target information of the user to be measured;

[0110] Determine, according to the second target information of the user to be measured, the second blood pressure prediction influence corresponding to the second target information, and determine, according to the second blood pressure prediction influence corresponding to the second target information, the second blood pressure prediction influence degree corresponding to the second target information;

[0111] Determine whether the second blood pressure prediction influence degree is greater than or equal to a preset second influence degree threshold; if so, correct the blood pressure parameters of the user to be measured according to the second target information.

[0112] In this optional embodiment, optionally, the second target information includes at least one of activity state information, sleep state information, and psychological state information of the user to be measured, wherein the activity state information includes activity intensity information and / or activity duration information, and the sleep state information includes sleep depth information and / or sleep duration information.

[0113] Furthermore, when it is determined that the second blood pressure prediction influence degree is less than a preset second influence degree threshold, there is no need to correct the blood pressure parameters, and the predicted blood pressure parameters are directly used.

[0114] For example, if the current mood of the user to be measured is relatively nervous, causing his or her heart rate to increase, the predicted blood pressure parameters may be biased high. At this time, it can be determined that the second blood pressure prediction influence degree is greater than or equal to the preset second influence degree threshold, so that the blood pressure parameters of the user to be measured can be corrected according to his or her psychological state information.

[0115] It should be noted that if Figure 7 As shown in the figure, the prediction model framework module needs to consider the following factors: 1) high-dimensional fine feature extraction of dynamic biological signals; 2) the reasoning generalization ability and reasoning scope of the standard blood pressure model; 3) for special populations or special physiques or physiques that change over time. According to the above requirements, the prediction model framework can include these two basic logical functions: blood pressure prediction sub-model F (for blood pressure prediction) and system correction sub-model g (for blood pressure correction).

[0116] Specifically, the network framework included in the prediction model can be as follows Figure 8 As shown in (a)-(c) in the figure, there are many ways to implement the two logical functions in the prediction model framework (among which, Figure 8 The meanings of the symbols in the figure are as follows: X: feature tensor, which is the output result of the radar signal processing unit; Y: predicted signal vector of the prediction model, including systolic pressure and diastolic pressure; A: new feature tensor that the user can input, such as the first target information and / or second target information mentioned above; B: intermediate state tensor output by the sub-model; F: sub-model 1, blood pressure prediction, the parameters are fixed after the model is trained and no longer adjusted; g: sub-model 2, blood pressure correction, the pre-trained parameters can be fine-tuned twice).

[0117] Among them, the first method is Figure 8 (a) shows: the entire blood pressure prediction equation is as follows: Y = g(F(X), A), in this network framework, g = H. The basic criterion for the division of F and g is that g is a sub-model composed of the last few layers of the entire model, and the trainable parameter set of this sub-model is small. This functional division should fully consider the storage and computing power of the deployed hardware when pre-training the model. Therefore, this network framework has the following advantages: 1) When pre-training the model, the dimension of the radar side input signal and the existence and computing power of the subsequent hardware deployment can be fully considered to achieve a global-based functional division, design the optimal sub-model that can be optimized twice, so as to adapt to the special physique of the unmeasurable target, and continue to correct and compensate for the global performance, so as to achieve more accurate blood pressure measurement; 2) The sub-model g can realize multiple functions and requires fewer resources when deployed, such as combining with the sub-model F to realize blood pressure prediction, and using new feature input to realize offline correction of system performance.

[0118] The second method is Figure 8(b) shows that when deploying the pre-trained model, an additional correction model H needs to be deployed, where the correction sub-model H and the sub-model g have the same structure. The system includes a blood pressure prediction sub-model and a system correction sub-model. The two sub-models can work in parallel. The blood pressure prediction equation is: Y = g(F(X)), and the system correction variance equation is: Z = H(A, B) = H(A, F(X)). In this network framework, H = g, and the g parameter can be optimized twice. The basic criteria for the division of F and g can be referred to Figure 8 (a) but with Figure 8 The main difference of the network framework in (a) is that the system correction sub-model H is a physical unit and needs to be deployed simultaneously with the pre-trained network. Therefore, this network framework has the following advantages: 1) The system supports two tasks that can be run in parallel, that is, when the prediction model predicts the target blood pressure, the system function correction work can be carried out at the same time, and the two tasks do not affect each other; 2) Sub-model H can be regarded as a twin model of sub-model g. After the system function correction work is completed, the g model parameters can be quickly updated, and the online correction function can be realized to achieve more accurate blood pressure measurement; 3) Sub-model H does not participate in normal blood pressure measurement, so the resources allocated to the system can be dynamically optimized.

[0119] The third method is Figure 8 (c) shows that when the pre-trained model is deployed, an additional correction model H needs to be deployed, where the correction sub-model H and the sub-model g can have different structures. The system includes a blood pressure prediction sub-model and a system correction sub-model. The two sub-models work in series, where the blood pressure prediction equation is: Z = H(A, Y) = H(A, g(F(X))). In this network framework, H≠g, and the parameters of the pre-trained model composed of F and g are fixed and cannot be optimized twice. Compared with the previous two network frameworks, the main differences of this network framework are: the correction sub-model It can be a sub-model with fewer parameters and smaller scale, and needs to be deployed simultaneously with the pre-trained network. Therefore, the network framework has the following advantages: 1) The design of the system correction sub-model H is relatively flexible, and it can be different from the sub-model g, and can be a sub-model with fewer parameters and smaller scale; 2) The pre-trained model {F, g} can be used as a data preprocessing module for the sub-model H. It can be seen that the data dimension of the sub-module H input is small, so the sub-module It can be easily deployed on the end device; 3) Based on the small amount of data interaction between {F, g} and H, these two functional units can be deployed in a distributed manner; 4) Sub-model H can realize offline correction function to achieve more accurate blood pressure measurement.

[0120] Furthermore, the meaning of the model's intermediate state tensor representation is closely related to the specific structure of the model. Taking the transformer structure as an example, these intermediate state information includes the following aspects:

[0121] 1. Signal feature representation

[0122] Time series feature extraction: The output of the middle layer of the encoder is a feature representation of the input radar signal time series. Through operations such as the self-attention mechanism, it can automatically extract various meaningful features from the original radar signal, such as the periodicity and trend of the signal. These features are critical for understanding the inherent laws of radar signals and predicting their future trends.

[0123] Multi-scale feature capture: Different intermediate layers can capture features of different scales. Shallow intermediate layers may focus on extracting local short-term features, while deeper intermediate layers can capture more global and long-term features. Through this multi-level feature extraction, Transformer can fully understand the complex structure of radar signals, thereby providing richer information for subsequent predictions.

[0124] 2. Semantic information of the signal

[0125] Understanding of physical meaning: The output of the encoder middle layer also contains some "semantic" information of the radar signal, that is, the physical meaning represented by the signal and related information in the actual scene. For example, the strength and frequency of the radar signal are closely related to the physical properties of the target, such as the distance and speed. The feature representation output by the encoder middle layer will contain the association and potential rules between these physical properties, thereby achieving a deeper understanding of the radar signal and semantic modeling.

[0126] Contextual information fusion: The output of each intermediate layer incorporates the contextual information of the input radar signal. The self-attention mechanism enables the model to focus on the relationship between different positions in the signal sequence, thereby integrating the global contextual information into the feature representation of each position. This fusion of contextual information helps to better understand the changing trends and interdependencies of radar signals and improve the accuracy of predictions.

[0127] 3. Data compression and abstraction

[0128] Dimensionality reduction representation: The output of the encoder intermediate layer is a compressed and abstract representation of the input radar signal data. As the number of network layers increases, the feature dimension gradually decreases, but at the same time the most critical and representative information is retained. This dimensionality reduction representation can not only reduce data storage and computation, but also remove noise and redundant information, highlight the main features and laws of the signal, and make the model easier to learn and process.

[0129] Common feature extraction: During the compression and abstraction process, the encoder middle layer extracts common features between different radar signal data. These common features reflect the general laws and patterns of radar signals under general circumstances, which helps the model generalize and predict radar signals in different scenarios. By learning these common features, the model can better cope with various changes and uncertainties, and improve the stability and reliability of predictions.

[0130] 4. Potential target information

[0131] Target feature reflection: Since radar signals are closely related to the state and features of the target, the output of the Encoder intermediate layer will also indirectly reflect some information about the target. For example, the target's motion state, size, shape and other features may leave corresponding traces in the feature representation of the radar signal. By analyzing and mining the output of the intermediate layer, feature information related to the target can be extracted to provide support for tasks such as target recognition, tracking and classification.

[0132] Target relationship modeling: For radar signals of multiple targets, the output of the Encoder intermediate layer can also model the relationship between the targets. The self-attention mechanism can capture the interaction and correlation between radar signals of different targets, thereby reflecting the relationship information such as relative position, speed difference, and coordinated movement between targets in the feature representation. This is of great significance for radar signal processing and analysis in multi-target scenarios.

[0133] It can be seen that this optional embodiment can determine the corresponding second blood pressure prediction impact according to the second target information of the user to be measured, and then determine whether it is necessary to further correct the blood pressure parameters of the user to be measured. In this way, the comprehensiveness and accuracy of the determination of the blood pressure condition of the user to be measured can be improved, and then the blood pressure prediction deviation caused by the current state and / or different conditions of the user to be measured can be effectively corrected, thereby improving the reliability and accuracy of blood pressure prediction; at the same time, in the network framework design, by reasonably dividing the blood pressure prediction sub-model and the system correction sub-model, it not only takes into account the limitations of hardware storage and computing power, but also realizes the optimal division of functions, which helps to reduce the cost and complexity of hardware deployment while maintaining prediction accuracy.

[0134] Embodiment 2

[0135] See also Figure 3 , Figure 31 is a flow chart of another non-contact blood pressure measurement method based on radar technology disclosed in an embodiment of the present invention. Optionally, the method can be implemented by a blood pressure measurement device, which can be integrated in a radar detector or exist independently of the radar detector, or can be a local server or cloud server for processing the non-contact blood pressure measurement process based on radar technology, etc., which is not limited in the embodiment of the present invention. Figure 3 As shown, the non-contact blood pressure measurement method based on radar technology may include the following operations:

[0136] 201. Perform signal detection operation on a target body part of the user to be measured by using a preset radar detector to obtain signal parameters of an echo signal of the user to be measured.

[0137] 202. Determine biological signal information of the user to be measured according to signal parameters of the echo signal.

[0138] 203. Determine cardiac characteristic information of the user to be measured based on the biological signal information of the user to be measured.

[0139] In the embodiment of the present invention, optionally, the cardiac characteristic information of the user to be measured includes cardiac contraction characteristic information and / or cardiac diastole characteristic information of the user to be measured.

[0140] It should be noted that when the heart contracts and relaxes, it will produce pressure changes on the blood. This pressure change will propagate along the arteries in the form of waves, forming a cardiac micro-motion signal. It reflects the physiological characteristics of the heart's periodic activity and the elasticity of blood vessels, and is one of the important representations of the physiological state of the cardiovascular system. Therefore, the cardiac micro-motion signal is a relatively complex biological signal that contains rich physiological information. Among them, the biological signal mainly includes the following:

[0141] 1. Morphological characteristics of pressure waves:

[0142] Ascending branch: represents the systolic period of the heart, when the ventricles eject blood quickly and blood flows into the arteries quickly, causing the pressure in the arteries to rise sharply, forming the ascending branch of the pressure wave. Its slope and amplitude can reflect the strength and speed of ventricular contraction;

[0143] Peak value: It is the highest point of the pressure wave, corresponding to the highest pressure during ventricular contraction, usually called systolic pressure. The size of systolic pressure is related to factors such as the heart's pumping function and vascular resistance;

[0144] Descending branch: In the late stage of ventricular contraction, the ejection velocity gradually slows down, and the arterial pressure begins to drop, forming the descending branch of the pressure wave. The shape of the descending branch is relatively complex, containing multiple peaks and troughs, some of which are related to the physiological processes of the heart and blood vessels;

[0145] Dicrotic wave: Sometimes there is an obvious small wave peak on the descending branch, which is called dicrotic wave. It is caused by the rebound and vibration of blood in the artery after the aortic valve closes. Its position and amplitude can reflect the elasticity of blood vessels and peripheral resistance.

[0146] 2. Time interval information:

[0147] Cardiac cycle: The time it takes for the heart to contract and relax once, determined by measuring the time interval between the starting points of two adjacent pressure waves. The length of the cardiac cycle is closely related to the heart rate. The faster the heart rate, the shorter the cardiac cycle.

[0148] Systolic time: The time from the starting point of the rising branch of the pressure wave to the peak value, which represents the duration of ventricular contraction. The length of systolic time can reflect the state of ventricular contractile function. For example, when the myocardial contractility is enhanced, the systolic time may be shortened.

[0149] Diastolic time: The time from the peak of the pressure wave to the starting point of the next ascending branch is the duration of ventricular diastole. Diastolic time is very important for the filling of the heart and the perfusion of the coronary arteries. Its abnormal changes may be related to diseases such as cardiac diastolic dysfunction.

[0150] Frequency characteristics: By performing spectrum analysis on the cardiac micro-vibration signal, its frequency characteristics can be obtained. The frequency components of the cardiac micro-vibration signal are mainly concentrated in the low frequency band, which is related to the fundamental frequency of the heart rate and its harmonics. In addition, it may also contain some high-frequency components, which may be related to factors such as the elastic vibration of the blood vessels and the turbulence of the blood. By analyzing the frequency characteristics, dynamic information about the heart and vascular system can be obtained, such as changes in vascular compliance.

[0151] Amplitude characteristics: The amplitude of the pressure wave reflects the size of the blood pressure. In addition to the systolic pressure mentioned above, it also includes the diastolic pressure, which is the lowest pressure in the artery at the end of ventricular diastole. Pulse pressure is the difference between systolic pressure and diastolic pressure. It reflects the fluctuation amplitude of arterial blood pressure and is related to factors such as the heart's stroke volume and vascular elasticity. In addition, the variation pattern of the micro-motion signal amplitude can also reflect the rhythmicity of heart contraction and relaxation and the regulatory function of blood vessels.

[0152] 204. Perform a blood pressure prediction operation on the user to be measured according to the heart characteristic information of the user to be measured to obtain a blood pressure parameter of the user to be measured.

[0153] In the embodiment of the present invention, for other descriptions of step 201 and step 202, please refer to the detailed description of step 101 and step 102 in the first embodiment, and the embodiment of the present invention will not be repeated.

[0154] It can be seen that the implementation of the embodiment of the present invention can determine the biological signal information of the user to be measured based on the signal parameters of the echo signal of the user to be measured obtained by the radar detector, and then determine the heart characteristic information of the user to be measured, thereby realizing a non-contact blood pressure measurement process for the user to be measured. In this way, rich data support can be provided for blood pressure prediction, a high-precision prediction process of blood pressure parameters can be realized, and the accuracy of blood pressure monitoring is improved; in addition, the comfort of blood pressure measurement for the user to be measured can be improved, and the skin discomfort or infection risk caused by improper contact of the sensor or long-term wearing can be reduced.

[0155] In an optional embodiment, the step 201 performs a signal detection operation on a target body part of the user to be measured by a preset radar detector to obtain signal parameters of an echo signal of the user to be measured, including:

[0156] Acquire first detection reference information of the user to be measured;

[0157] Determining detection control parameters corresponding to a preset radar detector according to the first detection reference information of the user to be measured;

[0158] According to the detection control parameters corresponding to the radar detector, a signal detection operation is performed on the target body part of the user to be measured to obtain the signal parameters of the echo signal of the user to be measured.

[0159] In this optional embodiment, optionally, the first detection reference information of the user to be measured includes health status information and / or current activity information of the user to be measured, wherein the current activity information includes at least one of current activity intensity information, current activity posture information, current activity amplitude information, and active duration information. Further optionally, the detection control parameter includes at least one of a detection position parameter, a detection distance parameter, a detection wave parameter, a detection duration parameter, and a signal receiving position parameter.

[0160] For example, if the user to be measured is in a highly active state with his chest turning left and right, the radar detector may need to dynamically transmit microwave signals to the user to be measured, or dynamically collect echo signals from the user to be measured according to the user's activity posture and amplitude.

[0161] It can be seen that this optional embodiment can determine the detection control parameters corresponding to the radar detector based on the first detection reference information of the user to be measured, and then perform signal detection on the target body part of the user to be measured. In this way, the control flexibility and accuracy of the radar detector are improved, and then the accuracy of microwave signal transmission for the user to be measured and the accuracy of echo signal reception for the user to be measured are improved, which is conducive to the subsequent accurate blood pressure prediction process.

[0162] In another optional embodiment, before determining the detection control parameter corresponding to the preset radar detector according to the first detection reference information of the user to be measured in the above step, the method further includes:

[0163] Acquire second detection reference information of the user to be measured;

[0164] Determine, according to the second detection reference information of the user to be measured, a detection influence situation corresponding to the second detection reference information, and determine, according to the detection influence situation corresponding to the second detection reference information, a detection influence degree corresponding to the second detection reference information;

[0165] Determining whether the detection impact degree is greater than or equal to a preset detection impact degree threshold;

[0166] When the judgment result is yes, determining the detection control parameter corresponding to the preset radar detector according to the first detection reference information and the second detection reference information;

[0167] When the judgment result is no, an operation of determining the detection control parameters corresponding to the preset radar detector according to the first detection reference information of the user to be measured is triggered.

[0168] In this optional embodiment, the second detection reference information of the user to be measured optionally includes clothing information and / or electronic device carrying information of the user to be measured, wherein the clothing information includes at least one of clothing type information, clothing thickness information, clothing quantity information, clothing wearing position information, and clothing wearing tightness information, and the electronic device carrying information includes at least one of electronic device type information, electronic device position information, and electronic device working status information. For example, if the user to be measured wears too thick clothes and carries a smart phone, this may weaken the strength of the echo signal received by the radar detector, and may disrupt the frequency and amplitude of the echo signal. Therefore, it is necessary to further consider the detection influence caused by the second detection reference information, so as to accurately determine the detection control parameters corresponding to the radar detector.

[0169] It can be seen that this optional embodiment can further determine the detection control parameters corresponding to the radar detector based on the second detection reference information of the user to be measured, and then perform signal detection on the target body part of the user to be measured. In this way, the control flexibility and accuracy of the radar detector are further improved, which is beneficial to improve the accuracy of microwave signal transmission for the user to be measured and the accuracy of echo signal reception for the user to be measured, thereby facilitating the subsequent fast and accurate blood pressure prediction process.

[0170] In yet another optional embodiment, before determining the biosignal information of the user to be measured according to the signal parameters of the echo signal in the above step 202, the method further includes:

[0171] Acquire detection characteristic parameters of the radar detector when performing a signal detection operation;

[0172] Obtain the equipment parameters of the radar detector, and determine the impact of the detection wave corresponding to the radar detector based on the detection characteristic parameters and the equipment parameters;

[0173] According to the detection wave being affected, determining the degree of impact of the detection wave corresponding to the radar detector, and judging whether the degree of impact of the detection wave is greater than or equal to a preset detection wave impact degree threshold;

[0174] When the judgment result is yes, the signal processing parameters of the echo signal are determined according to the influence of the detection wave, and the echo signal is processed according to the signal processing parameters to update the echo signal.

[0175] In this optional embodiment, optionally, the detection characteristic parameters include at least one of a detection jitter amplitude parameter, a detection jitter frequency parameter, and a detection jitter time parameter. Further optionally, the equipment parameters of the radar detector include equipment model parameters and / or equipment loss parameters of the radar detector. For example, when a handheld radar detector is needed to detect signals from the chest of the user to be measured, the radar detector may be jittered during this process. At this time, it is necessary to determine the sensitivity of the radar detector to this jitter in combination with the model parameters, loss parameters, etc. of the radar detector. If the sensitivity is large (i.e., the detection wave is greatly affected), it is necessary to determine the signal processing parameters of the echo signal, such as denoising, de-outlier, de-trending, bandpass filtering, etc., so as to process the echo signal.

[0176] It should be noted that after signal processing, relatively clean and effective signals reflecting cardiac micromotion information can be extracted. These processed signals can be one-dimensional time series information, which reflects a specific physiological characteristic information (blood flow velocity, blood flow resistance, etc.); or the processed signals are a high-dimensional time series information, which represents a variety of specific physiological characteristic information at a certain moment or time period.

[0177] It can be seen that this optional embodiment can determine the impact of the corresponding detection wave according to the detection characteristic parameters and equipment parameters of the radar detector, such as amplitude change, wave speed change, etc., and then when the detection wave is greatly affected, the echo signal is processed according to the impact of the detection wave. This is beneficial to improve the reliability and accuracy of the collected echo signal, and then to improve the reliability and accuracy of the subsequent analysis of the echo signal, thereby helping to improve the efficiency and accuracy of blood pressure measurement of the user to be measured.

[0178] Embodiment 3

[0179] See also Figure 4 , Figure 4 Schematic diagram of a non-contact blood pressure measurement device based on radar technology disclosed in an embodiment of the present invention. Figure 4 As shown, the non-contact blood pressure measurement device based on radar technology may include:

[0180] The detection module 301 is used to perform a signal detection operation on the target body part of the user to be measured through a preset radar detector to obtain signal parameters of the echo signal of the user to be measured;

[0181] A determination module 302, configured to determine the biosignal information of the user to be measured according to the signal parameters of the echo signal;

[0182] The prediction module 303 is used to perform a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured, so as to obtain the blood pressure parameters of the user to be measured.

[0183] In the embodiment of the present invention, the blood pressure parameter includes a systolic pressure parameter and / or a diastolic pressure parameter.

[0184] It can be seen that the implementation Figure 4 The described non-contact blood pressure measurement device based on radar technology can obtain the echo signal of the user to be measured through a radar detector, and predict the blood pressure of the user to be measured based on the echo signal to obtain his blood pressure parameters. In this way, the blood pressure can be measured in a non-contact manner, thereby improving the flexibility of blood pressure measurement of the subject, thereby improving the efficiency and accuracy of blood pressure measurement of the subject, and reducing the subject's discomfort during measurement, thereby improving the subject's experience of using the device.

[0185] In an optional embodiment, the signal parameter of the echo signal includes at least one of a waveform rise rate parameter, a waveform peak parameter, a waveform fall rate parameter, a waveform period parameter, a waveform frequency parameter, and a waveform amplitude parameter of the echo signal, and the biological signal information of the user to be measured includes at least one of vascular elasticity information, vascular blood flow velocity information, vascular blood flow resistance information, vascular blood flow information, and vascular blood flow change time information of the user to be measured;

[0186] The prediction module 303 performs a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured, and obtains the blood pressure parameters of the user to be measured in the following manner:

[0187] Determining cardiac characteristic information of the user to be measured according to the biological signal information of the user to be measured;

[0188] According to the heart characteristic information of the user to be measured, a blood pressure prediction operation is performed on the user to be measured to obtain the blood pressure parameters of the user to be measured.

[0189] In this optional embodiment, the cardiac characteristic information of the user to be measured includes cardiac contraction characteristic information and / or cardiac diastole characteristic information of the user to be measured.

[0190] It can be seen that the implementation Figure 5 The described non-contact blood pressure measurement device based on radar technology can determine the biological signal information of the user to be measured according to the signal parameters of the echo signal of the user to be measured obtained by the radar detector, and then determine the heart characteristic information of the user to be measured, thereby realizing the non-contact blood pressure measurement process of the user to be measured. In this way, it can provide rich data support for blood pressure prediction, realize a high-precision prediction process of blood pressure parameters, and improve the accuracy of blood pressure monitoring; in addition, it can also improve the comfort of blood pressure measurement for the user to be measured, and reduce the skin discomfort or infection risk caused by improper contact of the sensor or long-term wearing.

[0191] In another optional embodiment, the device further comprises:

[0192] A first acquisition module 304 is used to acquire first target information of the user to be measured after the prediction module 303 performs a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured and obtains the blood pressure parameter of the user to be measured;

[0193] The determination module 302 is further used to determine, according to the first target information of the user to be measured, the first blood pressure prediction impact situation corresponding to the first target information, and determine the first blood pressure prediction impact degree corresponding to the first target information according to the first blood pressure prediction impact situation corresponding to the first target information;

[0194] A first judgment module 305 is used to judge whether the first blood pressure prediction influence degree is greater than or equal to a preset first influence degree threshold;

[0195] The first correction module 306 is used to correct the blood pressure parameters of the user to be measured according to the first target information when the judgment result of the first judgment module 305 is yes.

[0196] In this optional embodiment, the first target information includes basic information and / or health status information of the user to be measured, and the basic information of the user to be measured includes at least one of height information, weight information, gender information and body shape information of the user to be measured.

[0197] It can be seen that the implementation Figure 5The described non-contact blood pressure measurement device based on radar technology can determine the corresponding first blood pressure prediction impact according to the first target information of the user to be measured, and then determine whether it is necessary to further correct the blood pressure parameters of the user to be measured. This is conducive to improving the correction reliability and accuracy of the blood pressure parameters of the user to be measured, and then is conducive to accurately predicting the blood pressure parameters of the user to be measured, thereby helping to improve the accuracy of subsequent health status assessment of the user to be measured.

[0198] In yet another optional embodiment, the device further comprises:

[0199] The second acquisition module 307 is used to acquire second target information of the user to be measured after the prediction module 303 performs a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured and obtains the blood pressure parameter of the user to be measured;

[0200] The determination module 302 is further used to determine, according to the second target information of the user to be measured, the second blood pressure prediction influence corresponding to the second target information, and determine the second blood pressure prediction influence degree corresponding to the second target information according to the second blood pressure prediction influence corresponding to the second target information;

[0201] A second judgment module 308 is used to judge whether the second blood pressure prediction influence degree is greater than or equal to a preset second influence degree threshold;

[0202] The second correction module 309 is used to correct the blood pressure parameters of the user to be measured according to the second target information when the judgment result of the second judgment module 309 is yes.

[0203] In this optional embodiment, the second target information includes at least one of activity state information, sleep state information, and psychological state information of the user to be measured, the activity state information includes activity intensity information and / or activity duration information, and the sleep state information includes sleep depth information and / or sleep duration information.

[0204] It can be seen that the implementation Figure 5The described non-contact blood pressure measurement device based on radar technology can determine the corresponding second blood pressure prediction impact according to the second target information of the user to be measured, and then determine whether it is necessary to further correct the blood pressure parameters of the user to be measured. In this way, the comprehensiveness and accuracy of the determination of the blood pressure condition of the user to be measured can be improved, and the blood pressure prediction deviation caused by the current state and / or different conditions of the user to be measured can be effectively corrected, thereby improving the reliability and accuracy of blood pressure prediction; at the same time, in the network framework design, by reasonably dividing the blood pressure prediction sub-model and the system correction sub-model, the limitations of hardware storage and computing power are taken into account, and the optimal division of functions is achieved, which helps to reduce the cost and complexity of hardware deployment while maintaining prediction accuracy.

[0205] In another optional embodiment, the detection module 301 performs a signal detection operation on the target body part of the user to be measured through a preset radar detector, and the method of obtaining the signal parameters of the echo signal of the user to be measured specifically includes:

[0206] Acquire first detection reference information of the user to be measured;

[0207] Determining detection control parameters corresponding to a preset radar detector according to the first detection reference information of the user to be measured;

[0208] According to the detection control parameters corresponding to the radar detector, a signal detection operation is performed on the target body part of the user to be measured to obtain the signal parameters of the echo signal of the user to be measured.

[0209] In this optional embodiment, the first detection reference information of the user to be measured includes health status information and / or current activity information of the user to be measured, the current activity information includes at least one of current activity intensity information, current activity posture information, current activity amplitude information and activity duration information; the detection control parameters include at least one of detection position parameters, detection distance parameters, detection wave parameters, detection duration parameters and signal receiving position parameters.

[0210] It can be seen that the implementation Figure 5 The described non-contact blood pressure measurement device based on radar technology can determine the detection control parameters corresponding to the radar detector based on the first detection reference information of the user to be measured, and then perform signal detection on the target body part of the user to be measured. In this way, the control flexibility and accuracy of the radar detector are improved, thereby improving the accuracy of microwave signal transmission to the user to be measured and the accuracy of echo signal reception of the user to be measured, which is conducive to the subsequent accurate blood pressure prediction process.

[0211] In another optional embodiment, the detection module 301 performs a signal detection operation on the target body part of the user to be measured through a preset radar detector, and the method of obtaining the signal parameters of the echo signal of the user to be measured specifically includes:

[0212] Before determining the detection control parameter corresponding to the preset radar detector according to the first detection reference information of the user to be measured, obtaining the second detection reference information of the user to be measured;

[0213] Determine, according to the second detection reference information of the user to be measured, a detection influence situation corresponding to the second detection reference information, and determine, according to the detection influence situation corresponding to the second detection reference information, a detection influence degree corresponding to the second detection reference information;

[0214] Determining whether the detection impact degree is greater than or equal to a preset detection impact degree threshold;

[0215] When the judgment result is yes, determining the detection control parameter corresponding to the preset radar detector according to the first detection reference information and the second detection reference information;

[0216] When the judgment result is no, an operation of determining the detection control parameters corresponding to the preset radar detector according to the first detection reference information of the user to be measured is triggered.

[0217] In this optional embodiment, the second detection reference information of the user to be measured includes clothing information and / or electronic device carrying information of the user to be measured, the clothing information includes at least one of clothing type information, clothing thickness information, clothing quantity information, clothing wearing position information and clothing wearing tightness information, and the electronic device carrying information includes at least one of electronic device type information, electronic device location information and electronic device working status information.

[0218] It can be seen that the implementation Figure 5 The described non-contact blood pressure measurement device based on radar technology can further determine the detection control parameters corresponding to the radar detector based on the second detection reference information of the user to be measured, and then perform signal detection on the target body part of the user to be measured. In this way, the control flexibility and accuracy of the radar detector are further improved, which is beneficial to improve the accuracy of microwave signal transmission to the user to be measured and the accuracy of echo signal reception of the user to be measured, thereby facilitating the subsequent fast and accurate blood pressure prediction process.

[0219] In yet another optional embodiment, the device further comprises:

[0220] The third acquisition module 310 is used to acquire detection characteristic parameters of the radar detector when performing the signal detection operation before the determination module 302 determines the biological signal information of the user to be measured according to the signal parameters of the echo signal; and acquire the device parameters of the radar detector;

[0221] The determination module 302 is further used to determine, based on the detection characteristic parameters and the device parameters, how the detection wave corresponding to the radar detector is affected; and to determine, based on the detection wave being affected, how much the detection wave corresponding to the radar detector is affected;

[0222] The third judgment module 311 is used to judge whether the influence degree of the detection wave is greater than or equal to a preset detection wave influence degree threshold;

[0223] The determination module 302 is further used to determine the signal processing parameters of the echo signal according to the influence of the detection wave when the judgment result of the third judgment module 311 is yes; and process the echo signal according to the signal processing parameters to update the echo signal.

[0224] In this optional embodiment, the detection characteristic parameters include at least one of a detection jitter amplitude parameter, a detection jitter frequency parameter, and a detection jitter time parameter; the equipment parameters of the radar detector include equipment model parameters and / or equipment loss parameters of the radar detector.

[0225] It can be seen that the implementation Figure 5 The described non-contact blood pressure measurement device based on radar technology can determine the impact of its corresponding detection wave, such as amplitude change, wave speed change, etc., according to the detection characteristic parameters and equipment parameters of the radar detector, and then when the detection wave is greatly affected, the echo signal is processed according to the impact of the detection wave. This is conducive to improving the reliability and accuracy of the collected echo signal, and then conducive to improving the reliability and accuracy of the subsequent analysis of the echo signal, thereby helping to improve the efficiency and accuracy of the blood pressure measurement of the user to be measured.

[0226] Embodiment 4

[0227] See also Figure 6 , Figure 6 FIG. 1 is a schematic diagram of the structure of another non-contact blood pressure measurement device based on radar technology disclosed in an embodiment of the present invention. Figure 6 As shown, the non-contact blood pressure measurement device based on radar technology may include:

[0228] A memory 401 storing executable program codes;

[0229] a processor 402 coupled to the memory 401;

[0230] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the non-contact blood pressure measurement method based on radar technology described in the first embodiment of the present invention or the second embodiment of the present invention.

[0231] Embodiment 5

[0232] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the non-contact blood pressure measurement method based on radar technology described in Embodiment 1 or Embodiment 2 of the present invention.

[0233] Embodiment 6

[0234] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the non-contact blood pressure measurement method based on radar technology described in Example 1 or Example 2.

[0235] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0236] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0237] Finally, it should be noted that the non-contact blood pressure measurement method and device based on radar technology disclosed in the embodiment of the present invention only discloses the preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A non-contact blood pressure measurement method based on radar technology, characterized in that: The method comprises: Performing a signal detection operation on a target body part of the user to be measured by a preset radar detector to obtain signal parameters of an echo signal of the user to be measured; Determining biological signal information of the user to be measured according to the signal parameters of the echo signal; According to the biological signal information of the user to be measured, a blood pressure prediction operation is performed on the user to be measured to obtain the blood pressure parameters of the user to be measured; the blood pressure parameters include systolic pressure parameters and / or diastolic pressure parameters.

2. The non-contact blood pressure measurement method based on radar technology according to claim 1, characterized in that: The signal parameters of the echo signal include at least one of a waveform rise rate parameter, a waveform peak parameter, a waveform fall rate parameter, a waveform period parameter, a waveform frequency parameter, and a waveform amplitude parameter of the echo signal, and the biological signal information of the user to be measured includes at least one of vascular elasticity information, vascular blood flow velocity information, vascular blood flow resistance information, vascular blood flow information, and vascular blood flow change time information of the user to be measured; The step of performing a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured to obtain the blood pressure parameters of the user to be measured includes: Determining cardiac characteristic information of the user to be measured according to the biosignal information of the user to be measured; the cardiac characteristic information of the user to be measured includes cardiac contraction characteristic information and / or cardiac diastole characteristic information of the user to be measured; According to the heart characteristic information of the user to be measured, a blood pressure prediction operation is performed on the user to be measured to obtain the blood pressure parameters of the user to be measured.

3. The non-contact blood pressure measurement method based on radar technology according to claim 1, characterized in that: After performing a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured to obtain the blood pressure parameter of the user to be measured, the method further includes: Acquire first target information of the user to be measured; the first target information includes basic information and / or health information of the user to be measured, and the basic information of the user to be measured includes at least one of height information, weight information, gender information and body shape information of the user to be measured; Determining, according to the first target information of the user to be measured, a first blood pressure prediction influence corresponding to the first target information, and determining, according to the first blood pressure prediction influence corresponding to the first target information, a first blood pressure prediction influence degree corresponding to the first target information; Determine whether the first blood pressure prediction impact degree is greater than or equal to a preset first impact degree threshold; if so, correct the blood pressure parameters of the user to be measured according to the first target information.

4. The non-contact blood pressure measurement method based on radar technology according to claim 1, characterized in that: After performing a blood pressure prediction operation on the user to be measured according to the biological signal information of the user to be measured to obtain the blood pressure parameter of the user to be measured, the method further includes: Acquire second target information of the user to be measured; the second target information includes at least one of activity state information, sleep state information and psychological state information of the user to be measured, the activity state information includes activity intensity information and / or activity duration information, and the sleep state information includes sleep depth information and / or sleep duration information; Determining, according to the second target information of the user to be measured, a second blood pressure prediction influence corresponding to the second target information, and determining, according to the second blood pressure prediction influence corresponding to the second target information, a second blood pressure prediction influence degree corresponding to the second target information; Determine whether the second blood pressure prediction impact degree is greater than or equal to a preset second impact degree threshold; if so, correct the blood pressure parameter of the user to be measured according to the second target information.

5. The non-contact blood pressure measurement method based on radar technology according to any one of claims 1 to 4, characterized in that: The method of performing a signal detection operation on a target body part of a user to be measured by a preset radar detector to obtain signal parameters of an echo signal of the user to be measured includes: Acquire first detection reference information of the user to be measured; the first detection reference information of the user to be measured includes health status information and / or current activity information of the user to be measured, and the current activity information includes at least one of current activity intensity information, current activity posture information, current activity amplitude information, and activity duration information; Determine, according to the first detection reference information of the user to be measured, a detection control parameter corresponding to a preset radar detector; the detection control parameter includes at least one of a detection position parameter, a detection distance parameter, a detection wave parameter, a detection duration parameter, and a signal receiving position parameter; According to the detection control parameters corresponding to the radar detector, a signal detection operation is performed on the target body part of the user to be measured to obtain the signal parameters of the echo signal of the user to be measured.

6. The non-contact blood pressure measurement method based on radar technology according to claim 5, characterized in that: Before determining the detection control parameter corresponding to the preset radar detector according to the first detection reference information of the user to be measured, the method further includes: Acquire second detection reference information of the user to be measured; the second detection reference information of the user to be measured includes clothing information and / or electronic device information of the user to be measured, the clothing information includes at least one of clothing type information, clothing thickness information, clothing quantity information, clothing wearing position information, and clothing wearing tightness information, and the electronic device information includes at least one of electronic device type information, electronic device position information, and electronic device working status information; Determine, according to the second detection reference information of the user to be measured, a detection influence situation corresponding to the second detection reference information, and determine, according to the detection influence situation corresponding to the second detection reference information, a detection influence degree corresponding to the second detection reference information; Determining whether the detection impact degree is greater than or equal to a preset detection impact degree threshold; When the judgment result is yes, determining the detection control parameter corresponding to the preset radar detector according to the first detection reference information and the second detection reference information; When the judgment result is no, the operation of determining the detection control parameter corresponding to the preset radar detector according to the first detection reference information of the user to be measured is triggered.

7. The non-contact blood pressure measurement method based on radar technology according to claim 6, characterized in that: Before determining the biological signal information of the user to be measured according to the signal parameters of the echo signal, the method further includes: Acquire detection characteristic parameters of the radar detector when performing the signal detection operation; the detection characteristic parameters include at least one of a detection jitter amplitude parameter, a detection jitter frequency parameter, and a detection jitter time parameter; Acquire the equipment parameters of the radar detector, and determine the influence of the detection wave corresponding to the radar detector according to the detection characteristic parameters and the equipment parameters; the equipment parameters of the radar detector include the equipment model parameters and / or equipment loss parameters of the radar detector; Determine the degree of influence of the detection wave corresponding to the radar detector according to the influence of the detection wave, and judge whether the degree of influence of the detection wave is greater than or equal to a preset threshold value of the degree of influence of the detection wave; When the judgment result is yes, the signal processing parameters of the echo signal are determined according to the influence of the detection wave, and the echo signal is processed according to the signal processing parameters to update the echo signal.

8. A non-contact blood pressure measurement device based on radar technology, characterized in that: The device comprises: A detection module, used to perform a signal detection operation on a target body part of a user to be measured through a preset radar detector, and obtain signal parameters of an echo signal of the user to be measured; A determination module, used to determine the biological signal information of the user to be measured according to the signal parameters of the echo signal; The prediction module is used to perform a blood pressure prediction operation on the user to be measured based on the biological signal information of the user to be measured, so as to obtain the blood pressure parameters of the user to be measured; the blood pressure parameters include systolic pressure parameters and / or diastolic pressure parameters.

9. A non-contact blood pressure measurement device based on radar technology, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the non-contact blood pressure measurement method based on radar technology as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the non-contact blood pressure measurement method based on radar technology as described in any one of claims 1-7.

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