Biological information acquisition equipment data optimization method and system

Abstract

The invention provides a biological information acquisition equipment data optimization method and system, and the method comprises the steps: collecting to-be-collected data through to-be-optimized equipment, and obtaining preliminary collection data; meanwhile, collecting the to-be-collected data through reference equipment to obtain reference data; performing first-level optimization on the preliminarily acquired data to obtain first-level optimized acquired data; and based on the reference data, optimizing the primary optimized collection data through a preset data optimization model to obtain final optimized collection data. According to the data optimization method and system for the biological information acquisition equipment, the problem that existing data acquisition equipment is low in data acquisition precision can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of data acquisition, and more specifically, to a method and system for optimizing data of a biological information acquisition device. Background Art

[0002] A data acquisition device is a device used to acquire data to be acquired. The data acquisition device includes a biological information acquisition device and a non-biological information acquisition device. For a biological information acquisition device, it includes a sphygmomanometer, a heart rate meter, a blood oxygen meter, etc.; it should be noted that the biological information acquisition device also includes some intelligent wearable devices with biological information acquisition functions, such as intelligent rings, intelligent glasses, intelligent bracelets, and so on.

[0003] In the actual use process, for some data acquisition devices (especially intelligent wearable devices), due to limitations such as the wearing position, the biological acquisition accuracy of such biological acquisition devices is often not high, and the acquired data often cannot be used in high-precision usage scenarios.

[0004] Based on the above technical problems, there is an urgent need for a solution that can effectively improve the data accuracy of data acquisition devices. Summary of the Invention

[0005] In view of the above problems, the purpose of the present invention is to provide a method and system for optimizing data of a biological information acquisition device to solve the problem of low data acquisition accuracy of existing data acquisition devices.

[0006] The method for optimizing data of a biological information acquisition device provided by the present invention is characterized by including:

[0007] Collecting the data to be acquired through the device to be optimized to obtain preliminary collected data; at the same time, collecting the data to be acquired through a reference device to obtain reference data;

[0008] Optimizing the first-level optimized collected data based on the reference data through a preset data optimization model to obtain the final optimized collected data.

[0009] In addition, a preferred solution is that the collecting the data to be acquired through the reference device to obtain reference data includes:

[0010] Within a first preset time corresponding to the time when the device to be optimized collects the data to be acquired, continuously collecting the data to be acquired at least twice through the reference device;

[0011] Calculating the average value of all the data collected by the reference device within the first preset time as the reference data.

[0012] In addition, preferably, the data to be collected is the biometric information data of the actor; and,

[0013] Before the data to be optimized device and the reference device collect the data to be collected, it further includes:

[0014] Obtain the body activity data of the actor and determine whether the body activity data is in a stable state;

[0015] After the body activity data is in a stable state, the data to be collected is simultaneously collected by the device to be optimized and the reference device.

[0016] In addition, preferably, determining whether the body activity data is in a stable state includes:

[0017] Continuously collect the body activity data within a preset second preset time;

[0018] If all the body activity data collected within the second preset time is within the preset stable value range, it is determined that the body activity data is in a stable state; otherwise, it is determined that the body activity data is in an unstable state.

[0019] In addition, preferably, if it is determined that the body activity data is in an unstable state, continue to perform continuous collection within the next preset third preset time;

[0020] Until it is determined that the body activity data is in a stable state, then collect the data to be collected by the device to be optimized and the reference device.

[0021] In addition, preferably, optimizing the primary optimized collected data through a preset data optimization model based on the reference data to obtain the final optimized collected data includes:

[0022] Using the reference data as a correction value, optimize the primary optimized collected data through the data optimization model to obtain the final optimized collected data.

[0023] In addition, preferably, both the device to be optimized and the reference device are one type of device among ECG devices, PPG devices, and intelligent blood pressure collection devices.

[0024] In addition, preferably, when the device to be optimized is an intelligent blood pressure collection and wearing device and the reference device is an electronic sphygmomanometer, the intelligent blood pressure collection and wearing device is worn distal to the heart on the arm, and the electronic sphygmomanometer is worn proximal to the heart on the arm; and, the data optimization method for the biometric information collection device includes:

[0025] The first acquisition of the data to be acquired is performed by the intelligent blood pressure acquisition and wearing device to obtain the first acquisition data;

[0026] The second acquisition of the data to be acquired is performed by the intelligent blood pressure acquisition and wearing device to obtain the second acquisition data; meanwhile, the data to be acquired is acquired by the electronic sphygmomanometer to obtain the reference data;

[0027] Judge whether the intelligent blood pressure acquisition and wearing device and the electronic sphygmomanometer are worn on the same side;

[0028] If they are not on the same side, the second acquisition data is used as the preliminary acquisition data; if they are on the same side, after the measurement of the electronic sphygmomanometer is completed, the third acquisition of the data to be acquired is performed by the intelligent blood pressure acquisition and wearing device to obtain the third acquisition data, and the average value of the first acquisition data and the third acquisition data is used as the preliminary acquisition data.

[0029] On the other hand, the present invention also provides a data optimization system for a biological information acquisition device, including a preliminary acquisition module and a final optimization module: wherein,

[0030] The preliminary acquisition module is used to acquire the data to be acquired through the device to be optimized to obtain the preliminary acquisition data; meanwhile, the data to be acquired is acquired through the reference device to obtain the reference data;

[0031] The final optimization module is used to optimize the first-level optimized acquisition data through a preset data optimization model based on the reference data to obtain the final optimized acquisition data.

[0032] In addition, a preferred solution is that a state stability detection module is further included,

[0033] The state stability detection module is used to, before the device to be optimized and the reference device acquire the data to be acquired,

[0034] acquire the body activity data of the actor and judge whether the body activity data is in a stable state;

[0035] After the body activity data is in a stable state, the data to be acquired is simultaneously acquired by the device to be optimized and the reference device.

[0036] Compared with the prior art, the above data acquisition and analysis system and data optimization method according to the present invention have the following beneficial effects:

[0037] The data optimization method and system for a biological information acquisition device provided by the present invention can significantly improve the data accuracy of the acquisition data of the device to be optimized through the final optimization using the reference data sent by the reference device.

[0038] To achieve the above and related purposes, one or more aspects of the present invention include features that will be described in detail later and particularly pointed out in the claims. The following description and the accompanying drawings detail certain exemplary aspects of the present invention. However, these aspects merely indicate some of the various ways in which the principles of the present invention can be used. In addition, the present invention is intended to cover all such aspects and their equivalents. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] By referring to the content of the following specification in conjunction with the accompanying drawings, and with a more comprehensive understanding of the present invention, other objects and results of the present invention will become more apparent and easier to understand. In the drawings:

[0040] Figure 1 A flowchart of the method for optimizing the data of the biometric information collection device provided for the embodiment of the present invention.

[0041] Figure 2 In the method for optimizing the data of the biometric information collection device provided for the embodiment of the present invention, a detailed flowchart with a wearable device as the device to be optimized and a sphygmomanometer as the reference device.

[0042] Figure 3 An internal logic schematic diagram of the biometric information collection device data optimization system provided for the embodiment of the present invention.

[0043] The same reference numerals in all the drawings indicate similar or corresponding features or functions. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] In the following description, for the purpose of illustration, in order to provide a comprehensive understanding of one or more embodiments, many specific details are set forth. However, it is obvious that these embodiments can also be implemented without these specific details. In other instances, well-known structures and devices are shown in block diagram form for the convenience of describing one or more embodiments.

[0045] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention; the terms "first", "second", "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance; in addition, unless otherwise clearly specified and defined, the terms "installed", "connected", "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0046] As Figure 1 shown, the method for optimizing the data of a biological information collection device provided by the present invention includes: collecting the data to be collected by a device to be optimized to obtain preliminary collected data; at the same time, collecting the data to be collected by a reference device to obtain reference data;

[0047] Optimizing the first-level optimized collected data based on the reference data through a preset data optimization model to obtain the final optimized collected data.

[0048] In addition, to improve the data collection accuracy, the collecting the data to be collected by the reference device to obtain reference data includes:

[0049] Within a first preset time corresponding to the time when the device to be optimized collects the data to be collected, continuously collecting the data to be collected by the reference device multiple times (at least twice); calculating the average value of all the data collected by the reference device within the first preset time as the reference data.

[0050] The method for optimizing the data of a biological information collection device provided by the present invention can significantly improve the data accuracy of the collected data of the device to be optimized by setting the first-level optimization and performing the final optimization through the reference data sent by the obtained reference device.

[0051] It should be noted that the data to be collected is the biological information of the actor. For the device to be optimized and the reference device worn by the actor, it is necessary to first determine the positional relationship between the two devices. If the positional distance between the two devices is relatively close and they are worn on the same side, it indicates that the data correlation between the two devices is relatively strong. In this case, the average value of the pre-collected data and the post-collected data is used as the primary optimized collected data. If the positional distance between the two devices is relatively far and they are not worn on the same side, it indicates that the data correlation between the two devices is relatively weak. In this case, the preliminary collected data is used as the primary optimized collected data.

[0052] In a preferred embodiment of the present invention, before the device to be optimized and the reference device collect the data to be collected, it may further include:

[0053] Obtain the body activity data of the actor and determine whether the body activity data is in a stable state; after the body activity data is in a stable state, collect the data to be collected through the device to be optimized and the reference device.

[0054] Furthermore, the determination of whether the body activity data is in a stable state includes:

[0055] Continuously collect the body activity data within a preset third preset time;

[0056] If all the body activity data collected within the third preset time is within the preset stable value range, it is determined that the body activity data is in a stable state; otherwise, it is determined that the body activity data is in an unstable state.

[0057] It should be noted that when the body activity data of the actor is not in a stable state, all the indicators of the actor are not within the normal range. At this time, the data measured by the device to be optimized for the actor is not accurate. Therefore, it is necessary to first determine whether the body activity data of the actor is in a stable state. After all the body activity data collected within the third preset time is within the preset stable value range, then measure the actor through the device to be optimized and the reference device.

[0058] Furthermore, if it is determined that the body activity data is in an unstable state, continue the continuous collection within the next preset third preset time; until it is determined that the body activity data is in a stable state, and then collect the data to be collected through the device to be optimized and the reference device.

[0059] It should be noted that the method for optimizing the data of the bioinformatics collection device provided by the present invention is applied to the bioinformatics collection device. In the actual configuration process, the device to be optimized and the reference device are both one type of device among the ECG device, the PPG device, and the blood pressure collection device.

[0060] According to the time delay and waveform characteristics of the abnormal waveform, it can be verified whether the pulse wave at the distal wearable device is affected by the proximal electronic sphygmomanometer measurement, and then it can be determined whether it is worn on the same limb.

[0061] It should be noted that the data optimization model provided by the present invention is an existing artificial intelligence data optimization model. And, optimizing the preliminary collected data through the preset data optimization model based on the reference data to obtain the final optimized collected data, including: using the reference data as the correction value and optimizing the preliminary optimized collected data through the data optimization model to obtain the final optimized collected data. In addition, for the artificial intelligence data optimization model, it is a commonly used model in the field of artificial intelligence. Here, the present invention mainly focuses on the application of the artificial intelligence data optimization model. Therefore, the working principle of the artificial intelligence data optimization model will not be elaborated here.

[0062] On the other hand, as Figure 3 shown, the present invention also provides a bioinformatics collection device data optimization system. The data optimization system includes a preliminary collection module and a final optimization module: Among them,

[0063] The preliminary collection module is used to collect the data to be collected through the device to be optimized to obtain the preliminary collected data; at the same time, collect the data to be collected through the reference device to obtain the reference data; the final optimization module is used to optimize the preliminary optimized collected data through the preset data optimization model based on the reference data to obtain the final optimized collected data.

[0064] The bioinformatics collection device data optimization system provided by the present invention further includes a state stability detection module. The state stability detection module is used to obtain the body activity data of the actor before the device to be optimized and the reference device collect the data to be collected, and judge whether the body activity data is in a stable state;

[0065] After the body activity data is in a stable state, the device to be optimized and the reference device are used to simultaneously collect the data to be collected.

[0066] The following takes the intelligent blood pressure acquisition and wearing device as the device to be optimized, and the electronic sphygmomanometer as the reference device as a specific embodiment (note: the intelligent blood pressure acquisition and wearing device and the electronic sphygmomanometer are worn on the same person; this embodiment is also applicable to heart rate measurement devices), and details the specific process of the method for optimizing the data of the biological information acquisition device provided by the present invention. Among them, the intelligent blood pressure acquisition and wearing device is worn at the distal end of the heart on the arm, and the electronic sphygmomanometer is worn at the proximal end of the heart on the arm, as Figure 2 shown: The process includes:

[0067] First, data interconnection and interoperability between the intelligent blood pressure acquisition and wearing device and the electronic sphygmomanometer are carried out ( Figure 2 not shown in the figure);

[0068] Then, it is judged whether the two devices (the intelligent blood pressure acquisition and wearing device and the electronic sphygmomanometer) are synchronized; if not, synchronization is carried out.

[0069] Then, the body activity data of the person is obtained, and based on the body activity data, it is judged whether the person is in a quiet state. If not in a quiet state, wait for the person to be in a quiet state; (that is: judge whether the body activity data is in a stable state. If not, wait for the body activity data to be in a stable state). It should be noted here that clinically, the blood pressure in the quiet state is usually used as the basis for evaluating the level of the patient. And in the quiet state, the blood pressure of the human body fluctuates less in a short period of time. Therefore, using the blood pressure in the quiet state to evaluate the measurement deviation between the wearable device and the sphygmomanometer is more accurate.

[0070] Then, the intelligent blood pressure acquisition and wearing device is used to perform the first acquisition on the data to be collected, and the first acquisition data is obtained;

[0071] The intelligent blood pressure acquisition and wearing device is used to perform the second acquisition on the data to be collected, and the second acquisition data is obtained; at the same time, the electronic sphygmomanometer is used to collect the data to be collected, and the reference data is obtained.

[0072] Judge whether the intelligent blood pressure acquisition and wearing device and the electronic sphygmomanometer are worn on the same side;

[0073] If they are not on the same side, the second acquisition data is used as the preliminary acquisition data; if they are on the same side, after the measurement of the electronic sphygmomanometer is completed, the intelligent blood pressure acquisition and wearing device is used to perform the third acquisition on the data to be collected, and the third acquisition data is obtained, and the average value of the first acquisition data and the third acquisition data is used as the preliminary acquisition data.

[0074] It should be noted here that for the intelligent blood pressure collection and wearing device and the electronic sphygmomanometer, if the intelligent blood pressure collection and wearing device and the electronic sphygmomanometer are on the same side, due to the existence of the cuff of the electronic sphygmomanometer in the working state, it will affect the detection of the intelligent blood pressure collection and wearing device. To avoid this influence, for the case where the intelligent blood pressure collection and wearing device and the electronic sphygmomanometer are on the same side, the average value of the first collection result and the third collection result needs to be used as the preliminary collection data (the first collection result and the third collection result are not affected by the electronic sphygmomanometer); for the case where the intelligent blood pressure collection and wearing device and the electronic sphygmomanometer are on different sides, no processing is required, and the second collection result can be used as the preliminary collection data.

[0075] Furthermore, regarding how to determine whether the intelligent wearable device and the sphygmomanometer are on the same side, in addition to using the above method of judging whether the positional relationship between the two devices is within the preset position range, the PPG waveform can be used for direct judgment; specifically, since the position where the electronic sphygmomanometer is bundled is proximal to the heart, while the wearable device is worn distally, when measuring blood pressure on the same side simultaneously, the cuff pressure on the proximal side causes a change in the intravascular pressure, and affected by this, the PPG waveform of the wearable device on the distal side shows an obvious change. Therefore, when measuring at the same time, if the corresponding waveform change appears in the PPG waveform, it is considered that the wearable device and the sphygmomanometer are worn on the same side; otherwise, it is considered that the wearable device and the sphygmomanometer are worn on different sides.

[0076] Even further, during the time when the electronic sphygmomanometer is measuring, the cuff inflation causes the blood flow in the limb at the cuff position to be blocked, and the amplitude in the time domain of the PPG waveform at the distal end correspondingly decreases. For example, during the cuff inflation and deflation period, the amplitude of the PPG waveform pulse wave shows a trend of first decreasing and then increasing, and even most of the time in the middle of the measurement cycle is flat, and even the amplitude is 0, depending on the settings of filtering parameters and the like for PPG signal processing.

[0077] The amplitude in the time domain of the PPG waveform at the distal end correspondingly decreases, and the time delay occurs about 0.01 - 0.06 s after the corresponding start of cuff inflation at the cuff position. The delay time can be obtained according to the distance from the center point of the cuff wearing position to the body surface position where the wearable device is worn and the pulse wave conduction velocity of the human body, that is, approximately equal to (0.3 - 0.6 m) ÷ (10 - 35 m / s); in addition, the pulse wave velocity of the user can also be estimated based on actual data such as the user's height.

[0078] As mentioned above with reference to Figures 1 to 3The method and system for optimizing data of a biological information collection device according to the present invention are described by way of example. However, those skilled in the art should understand that various improvements can be made to the above-mentioned method and system for optimizing data of a biological information collection device provided by the present invention without departing from the content of the present invention. Therefore, the protection scope of the present invention should be determined by the content of the appended claims.

Claims

1. A method for optimizing data of a biological information collection device, characterized in that: include: The data to be collected is collected by the device to be optimized to obtain preliminary collected data; at the same time, the data to be collected is collected by the reference device to obtain reference data; Based on the reference data, the first-level optimized collected data is optimized through a preset data optimization model to obtain final optimized collected data.

2. The method for optimizing biological information collection equipment data according to claim 1, characterized in that: The step of collecting the data to be collected by using a reference device to obtain reference data includes: Within a first preset time corresponding to the time for collecting the data to be collected by the device to be optimized, collecting the data to be collected at least twice continuously by the reference device; An average value of all data collected by the reference device within the first preset time is calculated as the reference data.

3. The method for optimizing biological information collection equipment data according to claim 2, characterized in that: The data to be collected is the biometric information data of the actor; and, Before the device to be optimized and the reference device collect the data to be collected, the method further includes: Obtaining the physical activity data of the actor, and determining whether the physical activity data is in a stable state; When the body activity data is in a stable state, the data to be collected is collected simultaneously by the device to be optimized and the reference device.

4. The method for optimizing biological information collection equipment data according to claim 3, characterized in that: The determining whether the physical activity data is in a stable state includes: Continuously collecting the physical activity data within a preset second preset time; If the physical activity data collected within the second preset time are all within the preset stable value, it is determined that the physical activity data is in a stable state; otherwise, it is determined that the physical activity data is in an unstable state.

5. The method for optimizing biological information collection equipment data according to claim 4, characterized in that: If it is determined that the body activity data is in an unstable state, continuing to collect the data within a next preset third preset time; Until it is determined that the body activity data is in a stable state, the data to be collected is collected through the device to be optimized and the reference device.

6. The method for optimizing biological information collection equipment data according to claim 5, characterized in that: The step of optimizing the preliminary optimized collected data by using a preset data optimization model based on the reference data to obtain the final optimized collected data includes: The reference data is used as a correction value, and the first-level optimized acquisition data is optimized through the data optimization model to obtain the final optimized acquisition data.

7. The method for optimizing biological information collection equipment data according to any one of claims 1 to 6, characterized in that: The device to be optimized and the reference device are both a type of device among ECG devices, PPG devices and intelligent blood pressure collection devices.

8. The method for optimizing biological information collection equipment data according to claim 7, characterized in that: When the device to be optimized is an intelligent blood pressure collection and wearable device, and the reference device is an electronic blood pressure meter, the intelligent blood pressure collection and wearable device is worn on the distal end of the heart of the arm, and the electronic blood pressure meter is worn on the proximal end of the heart of the arm; and the bio-information collection device data optimization method includes: The intelligent blood pressure collection wearable device is used to collect the data to be collected for the first time to obtain the first collected data; The data to be collected is collected for a second time by the smart blood pressure collection wearable device to obtain the second collected data; at the same time, the data to be collected is collected by the electronic blood pressure monitor to obtain reference data; Determine whether the smart blood pressure collection and wearing device and the electronic blood pressure monitor are worn on the same side; If they are not on the same side, the second collected data will be used as the preliminary collected data; if they are on the same side, after the measurement of the electronic blood pressure monitor is completed, the smart blood pressure collection wearable device will collect the collected data for a third time to obtain the third collected data, and the average value of the first collected data and the third collected data will be used as the preliminary collected data.

9. A biological information collection equipment data optimization system, characterized in that: It includes the preliminary acquisition module and the final optimization module: The preliminary acquisition module is used to acquire the data to be acquired through the device to be optimized to obtain preliminary acquired data; at the same time, the data to be acquired is acquired through the reference device to obtain reference data; The final optimization module is used to optimize the first-level optimized acquisition data based on the reference data through a preset data optimization model to obtain final optimized acquisition data.

10. The biological information collection equipment data optimization system according to claim 9, characterized in that: It also includes a state stability detection module, The state stability detection module is used for, before the device to be optimized and the reference device collect the data to be collected, Obtaining the physical activity data of the actor, and determining whether the physical activity data is in a stable state; When the body activity data is in a stable state, the data to be collected is collected simultaneously by the device to be optimized and the reference device.

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