Physiological data detection method, system, device and storage medium

Abstract

The present invention relates to the technical field of intelligent wearable devices, and discloses a physiological data detection method, system, device and storage medium. The method comprises: obtaining radio frequency signals that do not pass through a user's limbs and radio frequency signals that pass through the user's limbs; calculating a radio frequency signal power difference based on the radio frequency signals that do not pass through the user's limbs and the radio frequency signals that pass through the user's limbs; and determining the user's physiological data based on the radio frequency signal power difference. In the above manner, radio frequency signals that do not pass through the user's limbs and radio frequency signals that pass through the user's limbs are respectively obtained, and then the radio frequency signal power difference is calculated based on the radio frequency signals, and then the user's physiological data is determined based on the radio frequency signal power difference, thereby effectively improving the accuracy of detecting the user's physiological data.

Description

Technical Field

[0001] The present invention relates to the technical field of smart wearable devices, and in particular to a physiological data detection method, system, device and storage medium. Background Art

[0002] With the continuous development of smart wearable device technology, smart wearable devices are widely used in various fields. For example, in the medical field, they are used for health monitoring, including physiological data such as heart rate and blood oxygen saturation. The relevant technology currently used to detect physiological data is a photoelectric sensor design scheme, that is, after the LED lamp emits light of a specific wavelength onto the skin surface, the PD lamp receives the reflected or projected light, and then calculates the physiological data based on the light. However, when users use the photoelectric sensor design scheme for actual detection, there are external factors such as light, wearing tightness, skin pigmentation and thickness, resulting in low accuracy of the detected physiological data.

[0003] The above content is only used to assist in understanding the technical solution of the present invention and does not constitute an admission that the above content is prior art. Summary of the Invention

[0004] The main purpose of the present invention is to provide a physiological data detection method, system, device and storage medium, aiming to solve the technical problem of low accuracy in detecting a user's physiological data in the prior art.

[0005] To achieve the above objectives, the present invention provides a physiological data detection method, which is applied to a radio frequency-based smart wearable device. The physiological data detection method includes the following steps:

[0006] Acquire radio frequency signals that do not pass through the user's limbs and radio frequency signals that pass through the user's limbs;

[0007] Calculating a radio frequency signal power difference based on the radio frequency signal that has not passed through the user's limbs and the radio frequency signal that has passed through the user's limbs;

[0008] The physiological data of the user is determined according to the radio frequency signal power difference.

[0009] Optionally, obtaining the radio frequency signal that has not passed through the user's limbs and the radio frequency signal that has passed through the user's limbs includes:

[0010] Acquiring radio frequency signals that do not pass through the user's body parts;

[0011] Obtaining a corresponding radio frequency signal frequency according to the radio frequency signal that has not passed through the user's body part;

[0012] A radio frequency signal having the same frequency as the radio frequency signal and passing through a limb of the user is obtained.

[0013] Optionally, the calculating the radio frequency signal power difference based on the radio frequency signal that has not passed through the user's limbs and the radio frequency signal that has passed through the user's limbs includes:

[0014] Obtaining a first radio frequency signal power according to the radio frequency signal that has not passed through the user's limbs;

[0015] obtaining a plurality of second radio frequency signal powers according to a plurality of radio frequency signals passing through a body part of the user;

[0016] Acquire the number of radio frequency signals collected passing through the user's body parts;

[0017] Calculating an average radio frequency signal power based on the plurality of second radio frequency signal powers and the number;

[0018] A difference is calculated between the first radio frequency signal power and the average radio frequency signal power to obtain a radio frequency signal power difference.

[0019] Optionally, determining the physiological data of the user according to the radio frequency signal power difference includes:

[0020] Obtaining a mapping relationship table between radio frequency signal power difference and physiological data;

[0021] matching the radio frequency signal power difference with a mapping relationship table between the radio frequency signal power difference and physiological data;

[0022] The physiological data corresponding to the successfully matched radio frequency signal power difference is used as the physiological data of the user.

[0023] Optionally, the physiological data includes heart rate and blood oxygen saturation;

[0024] After determining the physiological data of the user according to the radio frequency signal power difference, the method further includes:

[0025] Determining whether the heart rate is greater than a preset heart rate standard value and whether the blood oxygen saturation is greater than a preset blood oxygen saturation standard value;

[0026] When the heart rate is greater than a preset heart rate standard value and / or the blood oxygen saturation is greater than a preset blood oxygen saturation standard value, an abnormal warning reminder message is issued;

[0027] Calculating a heart rate difference based on the heart rate and a preset heart rate standard value, and calculating a blood oxygen saturation difference based on the blood oxygen saturation and a preset blood oxygen saturation standard value;

[0028] A target adjustment recommendation strategy is generated according to the heart rate difference and the blood oxygen saturation difference, and the target adjustment recommendation strategy is displayed.

[0029] Optionally, after determining whether the heart rate is greater than a preset heart rate standard value and whether the blood oxygen saturation is greater than a preset blood oxygen saturation standard value, the method further includes:

[0030] When the heart rate is less than or equal to the preset heart rate standard value and the blood oxygen saturation is less than or equal to the preset blood oxygen saturation standard value, a normal prompt message is issued.

[0031] Optionally, after determining the physiological data of the user according to the radio frequency signal power difference, the method further includes:

[0032] The numerical value corresponding to the heart rate and the numerical value corresponding to the blood oxygen saturation are displayed.

[0033] In addition, to achieve the above-mentioned purpose, the present invention also proposes a physiological data detection system, which includes: a matrix transmitting antenna, a matrix receiving antenna and a central processing unit;

[0034] The matrix transmitting antenna is used to obtain the radio frequency signal frequency of the radio frequency signal;

[0035] The matrix receiving antenna is used to transmit radio frequency signals through the user's body parts;

[0036] The central processing unit is configured to obtain radio frequency signals having the same frequency as the radio frequency signal that have not passed through the user's limbs and radio frequency signals that have passed through the user's limbs;

[0037] The central processor is further configured to determine the user's physiological data based on the radio frequency signal power difference.

[0038] In addition, to achieve the above-mentioned purpose, the present invention also proposes a physiological data detection device, which includes: a memory, a processor, and a physiological data detection program stored in the memory and runnable on the processor, and the physiological data detection program is configured to implement the physiological data detection method described above.

[0039] In addition, to achieve the above-mentioned purpose, the present invention further proposes a storage medium, on which a physiological data detection program is stored. When the physiological data detection program is executed by a processor, the physiological data detection method as described above is implemented.

[0040] The physiological data detection method proposed in the present invention obtains radio frequency signals that do not pass through the user's limbs and radio frequency signals that pass through the user's limbs; calculates the radio frequency signal power difference based on the radio frequency signals that do not pass through the user's limbs and the radio frequency signals that pass through the user's limbs; and determines the user's physiological data based on the radio frequency signal power difference. In the above manner, the radio frequency signals that do not pass through the user's limbs and the radio frequency signals that pass through the user's limbs are respectively obtained, and then the radio frequency signal power difference is calculated based on the radio frequency signals, and then the user's physiological data is determined based on the radio frequency signal power difference, thereby effectively improving the accuracy of detecting the user's physiological data. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a structural diagram of a physiological data detection device in a hardware operating environment involved in an embodiment of the present invention;

[0042] Figure 2 This is a flow chart of a first embodiment of a physiological data detection method according to the present invention;

[0043] Figure 3 This is a module diagram of a radio frequency-based smart wearable device according to an embodiment of a physiological data detection method of the present invention;

[0044] Figure 4 This is a schematic diagram of the overall process of an embodiment of a physiological data detection method of the present invention;

[0045] Figure 5 Schematic diagram of the flow of the second embodiment of the physiological data detection method of the present invention;

[0046] Figure 6 FIG. 1 is a schematic diagram of functional modules of a first embodiment of a physiological data detection system according to the present invention.

[0047] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0048] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0049] Reference Figure 1 , Figure 1 This is a schematic diagram of the structure of a physiological data detection device in the hardware operating environment involved in an embodiment of the present invention.

[0050] like Figure 1As shown, the physiological data detection device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) memory, or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0051] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the physiological data detection device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0052] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a physiological data detection program.

[0053] exist Figure 1 In the physiological data detection device shown, the network interface 1004 is mainly used for data communication with the network integration platform workstation; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the physiological data detection device of the present invention can be set in the physiological data detection device, and the physiological data detection device calls the physiological data detection program stored in the memory 1005 through the processor 1001 and executes the physiological data detection method provided by the embodiment of the present invention.

[0054] Based on the above hardware structure, an embodiment of a physiological data detection method of the present invention is proposed.

[0055] Reference Figure 2 , Figure 2 FIG. 1 is a flow chart of the first embodiment of the physiological data detection method of the present invention.

[0056] In a first embodiment, the physiological data detection method includes the following steps:

[0057] Step S10: Acquire radio frequency signals that have not passed through the user's limbs and radio frequency signals that have passed through the user's limbs.

[0058] It should be noted that the executor of this embodiment is a physiological data detection device, and it can also be other devices that can achieve the same or similar functions, such as radio frequency-based smart wearable devices, etc. This embodiment does not limit this. In this embodiment, a radio frequency-based smart wearable device is used as an example for explanation.

[0059] It should be understood that reference Figure 3 , Figure 3 This is a module diagram of a radio frequency-based smart wearable device, including a central processing unit, a display module, Bluetooth, a physiological data detection module, and other sensors. The central processing unit is bidirectionally connected to the physiological data detection module, other sensors, Bluetooth, and voice, and is unidirectionally connected to the display module and power supply. The power supply is unidirectionally connected to the display module and the physiological data detection module, and the voice is unidirectionally connected to Bluetooth and other sensors. The radio frequency-based smart wearable device includes but is not limited to talkband, bracelet, and watch.

[0060] It can be understood that the user's limbs include but are not limited to arms, and the radio frequency signal that does not pass through the user's limbs is transmitted by the matrix transmitting antenna located at the bottom of the radio frequency-based smart wearable device, and the frequency and power of the radio frequency signal that does not pass through the user's limbs are specific. The frequency of the radio frequency signal that passes through the user's limbs is the same as the frequency of the radio frequency signal that does not pass through the user's limbs. The radio frequency signal that passes through the user's limbs is collected by the matrix receiving antenna located at the bottom of the radio frequency-based smart wearable device.

[0061] Furthermore, step S10 includes: obtaining a radio frequency signal that does not pass through the user's limbs; obtaining a corresponding radio frequency signal frequency based on the radio frequency signal that does not pass through the user's limbs; and obtaining a radio frequency signal that passes through the user's limbs and has the same frequency as the radio frequency signal.

[0062] It can be understood that the RF signal frequency refers to the frequency of the RF signal that does not pass through the user's limbs. After obtaining the RF signal frequency, the matrix receiving antenna collects the RF signal that has the same frequency as the RF signal and passes through the user's limbs.

[0063] Step S20 , calculating a radio frequency signal power difference based on the radio frequency signal that has not passed through the user's limbs and the radio frequency signal that has passed through the user's limbs.

[0064] It can be understood that the radio frequency signal power difference refers to the difference between the power of the radio frequency signal that has not passed through the user's limbs and the power of the radio frequency signal that has passed through the user's limbs.

[0065] Furthermore, step S20 includes: obtaining a first RF signal power based on the RF signal that does not pass through the user's limbs; obtaining a number of second RF signal powers based on a number of RF signals that pass through the user's limbs; acquiring the number of RF signals collected that pass through the user's limbs; calculating an average RF signal power based on the number and power of the second RF signals; and performing a difference calculation between the first RF signal power and the average RF signal power to obtain a RF signal power difference.

[0066] It should be understood that the first RF signal power refers to the power of the RF signal that does not pass through the user's limbs, and the matrix receiving antenna collects a number of RF signals that pass through the user's limbs. The second RF signal power refers to the power of the RF signal that passes through the user's limbs each time the matrix receiving antenna collects it. Then, the average RF signal power is calculated based on the power and number of the second RF signals. For example, the number of RF signals collected passing through the user's limbs is 10 groups, and the powers of the second RF signals are D1, D2, D3, D4, D5, D6, D7, D8, D9 and D10 respectively. Then, the average RF signal power is Here, i is the group number for collecting radio frequency signals passing through the user's body parts.

[0067] Step S30: determining the user's physiological data according to the radio frequency signal power difference.

[0068] It should be understood that after obtaining the radio frequency signal power difference, the user's physiological data is determined based on the radio frequency signal power difference. The physiological data includes but is not limited to heart rate and blood oxygen saturation.

[0069] Furthermore, step S30 includes: obtaining a mapping relationship table between radio frequency signal power difference and physiological data; matching the mapping relationship table between radio frequency signal power difference and physiological data; and using the physiological data corresponding to the successfully matched radio frequency signal power difference as the physiological data of the user.

[0070] It can be understood that the mapping relationship table refers to a data table that records the mapping relationship between the RF signal power difference and the physiological data. After obtaining the RF signal power difference, the mapping relationship table between the RF signal power difference and the physiological data is matched, and then the physiological data corresponding to the successfully matched RF signal power difference is used as the user's physiological data.

[0071] Furthermore, after step S30, the method further includes: displaying the value corresponding to the heart rate and the value corresponding to the blood oxygen saturation.

[0072] It should be understood that after the heart rate and blood oxygen saturation are obtained, the corresponding values ​​and the values ​​corresponding to the blood oxygen saturation are displayed on a display module, which may be a screen.

[0073] It should be understood that reference Figure 4 , Figure 4 This is a schematic diagram of the overall process, specifically: after the RF-based smart wearable device is started, the RF module is called to transmit a RF signal through the matrix transmitting antenna located at the bottom of the RF-based smart wearable device. The RF signal does not pass through the user's limbs, and then the matrix receiving antenna located at the bottom of the RF-based smart wearable device collects RF signals of the same frequency as the RF signal transmitted by the matrix transmitting antenna. The RF signal passes through the user's limbs, and the number is several groups. At this time, the RF signal passing through the user's limbs also has a corresponding power, that is, the second RF signal power. Then, the average RF signal power is calculated by using the power and number of the several second RF signals, and the RF signal that does not pass through the user's limbs has a corresponding power, that is, the first RF signal power. Then, the RF signal is calculated using the first RF signal power and the second RF signal power. Power difference, then obtain the mapping relationship table between the RF signal power difference and the physiological data, match the RF signal power difference according to the mapping relationship table between the RF signal power difference and the physiological data, and obtain the successfully matched RF signal power difference, and then use the physiological data corresponding to the successfully matched RF signal power difference as the user's physiological data, and then judge whether the heart rate is greater than the preset heart rate standard value and whether the blood oxygen saturation is greater than the preset blood oxygen saturation standard value. If any one of the conditions of the heart rate being greater than the preset heart rate standard value and the blood oxygen saturation being greater than the preset blood oxygen saturation standard value is met, an abnormal warning reminder message is issued; if the heart rate is less than or equal to the preset heart rate standard value and the blood oxygen saturation is less than or equal to the preset blood oxygen saturation standard value, a normal prompt message is issued, and after obtaining the physiological data, the value corresponding to the physiological data is displayed on the screen.

[0074] This embodiment obtains radio frequency signals that do not pass through the user's limbs and radio frequency signals that pass through the user's limbs; calculates the radio frequency signal power difference based on the radio frequency signals that do not pass through the user's limbs and the radio frequency signals that pass through the user's limbs; and determines the user's physiological data based on the radio frequency signal power difference. In the above manner, the radio frequency signals that do not pass through the user's limbs and the radio frequency signals that pass through the user's limbs are respectively obtained, and then the radio frequency signal power difference is calculated based on the radio frequency signals, and then the user's physiological data is determined based on the radio frequency signal power difference, thereby effectively improving the accuracy of detecting the user's physiological data.

[0075] In one embodiment, if Figure 5The second embodiment of the physiological data detection method of the present invention is proposed based on the first embodiment. After step S30, the method further includes:

[0076] Step S401, determining whether the heart rate is greater than a preset heart rate standard value and whether the blood oxygen saturation is greater than a preset blood oxygen saturation standard value.

[0077] Furthermore, after step S401, the method further includes: issuing a normal prompt message when the heart rate is less than or equal to a preset heart rate standard value and the blood oxygen saturation is less than or equal to a preset blood oxygen saturation standard value.

[0078] It can be understood that when it is determined that the heart rate is less than or equal to the preset heart rate standard value and the blood oxygen saturation is less than or equal to the preset blood oxygen saturation standard, it indicates that the user's heart rate and blood oxygen saturation are within a safe range. At this time, a normal prompt message is issued. For example, the normal prompt message can be the words "Physiological data is normal" displayed on the display module, or the display module can emit a green halo.

[0079] Step S402: When the heart rate is greater than a preset heart rate standard value and / or the blood oxygen saturation is greater than a preset blood oxygen saturation standard value, an abnormal warning reminder message is issued.

[0080] It can be understood that when any one of the conditions of the heart rate being greater than the preset heart rate standard value and the blood oxygen saturation being greater than the preset blood oxygen saturation standard value is met, it indicates that the user's heart rate and blood oxygen saturation are within a dangerous range. At this time, an abnormal warning reminder message is issued, that is, the user is reminded through the abnormal warning reminder message. For example, the abnormal warning reminder message can be the words "physiological data abnormality" displayed on the display module. In order to avoid the user failing to check the words displayed on the display module in time, a "physiological data abnormality" sound is emitted through the speaker at the same time.

[0081] Step S403, calculating a heart rate difference based on the heart rate and a preset heart rate standard value, and calculating a blood oxygen saturation difference based on the blood oxygen saturation and a preset blood oxygen saturation standard value.

[0082] It should be understood that the heart rate difference refers to the difference between the heart rate and the preset heart rate standard value. Similarly, the blood oxygen saturation difference refers to the difference between the blood oxygen saturation and the preset blood oxygen saturation standard value.

[0083] Step S404: generating a target adjustment recommendation strategy based on the heart rate difference and the blood oxygen saturation difference, and displaying the target adjustment recommendation strategy.

[0084] It can be understood that the target adjustment recommendation strategy refers to a strategy for establishing a lower heart rate and / or blood oxygen saturation, specifically reducing the heart rate to a preset heart rate standard value or below, and reducing the blood oxygen saturation to a preset blood oxygen saturation standard value or below, and then displaying the target adjustment recommendation strategy so that the user can operate according to the target adjustment recommendation strategy.

[0085] This embodiment determines whether the heart rate is greater than the preset heart rate standard value and whether the blood oxygen saturation is greater than the preset blood oxygen saturation standard value; when the heart rate is greater than the preset heart rate standard value and / or the blood oxygen saturation is greater than the preset blood oxygen saturation standard value, an abnormal warning reminder message is issued; the heart rate difference is calculated according to the heart rate and the preset heart rate standard value, and the blood oxygen saturation difference is calculated according to the blood oxygen saturation and the preset blood oxygen saturation standard value; a target adjustment recommendation strategy is generated according to the heart rate difference and the blood oxygen saturation difference, and the target adjustment recommendation strategy is displayed; through the above method, it is determined whether the heart rate is greater than the preset heart rate standard value and whether the blood oxygen saturation is greater than the preset blood oxygen saturation standard value. If so, an abnormal warning reminder message is issued, and then the heart rate difference and the blood oxygen saturation difference are calculated respectively, and then the target adjustment recommendation strategy is generated according to the heart rate difference and the blood oxygen saturation difference, thereby effectively improving the user's safety and experience.

[0086] In addition, an embodiment of the present invention further provides a storage medium, on which a physiological data detection program is stored. When the physiological data detection program is executed by a processor, the steps of the physiological data detection method described above are implemented.

[0087] Since the storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought by the technical solutions of the above embodiments, which will not be described one by one here.

[0088] In addition, refer to Figure 6 , an embodiment of the present invention further provides a physiological data detection system, the physiological data detection system comprising: a matrix transmitting antenna, a matrix receiving antenna and a central processing unit;

[0089] The matrix transmitting antenna 10 is used to obtain the radio frequency signal frequency of the radio frequency signal.

[0090] The matrix receiving antenna 20 is used to obtain radio frequency signals that have the same frequency as the radio frequency signal and have not passed through the user's limbs, as well as radio frequency signals that have passed through the user's limbs.

[0091] The central processor 30 is configured to calculate a radio frequency signal power difference based on the radio frequency signal that has not passed through the user's limbs and the radio frequency signal that has passed through the user's limbs.

[0092] The central processor 30 is further configured to determine the user's physiological data based on the radio frequency signal power difference.

[0093] This embodiment obtains radio frequency signals that do not pass through the user's limbs and radio frequency signals that pass through the user's limbs; calculates the radio frequency signal power difference based on the radio frequency signals that do not pass through the user's limbs and the radio frequency signals that pass through the user's limbs; and determines the user's physiological data based on the radio frequency signal power difference. In the above manner, the radio frequency signals that do not pass through the user's limbs and the radio frequency signals that pass through the user's limbs are respectively obtained, and then the radio frequency signal power difference is calculated based on the radio frequency signals, and then the user's physiological data is determined based on the radio frequency signal power difference, thereby effectively improving the accuracy of detecting the user's physiological data.

[0094] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of it according to actual needs to achieve the purpose of the embodiment scheme, and no limitation is made here.

[0095] In addition, for technical details not fully described in this embodiment, reference can be made to the physiological data detection method provided in any embodiment of the present invention, and will not be repeated here.

[0096] In one embodiment, the matrix transmitting antenna 10 is further used to obtain the radio frequency signal frequency of the radio frequency signal.

[0097] In one embodiment, the matrix receiving antenna 20 is further configured to acquire radio frequency signals having the same frequency as the radio frequency signal that have not passed through the user's limbs and radio frequency signals that have passed through the user's limbs.

[0098] In one embodiment, the central processor 30 is further used to obtain a first RF signal power based on the RF signal that has not passed through the user's limbs; obtain a number of second RF signal powers based on a number of RF signals that have passed through the user's limbs; obtain the number of collected RF signals that have passed through the user's limbs; calculate an average RF signal power based on the number and power of the second RF signals; and perform a difference calculation between the first RF signal power and the average RF signal power to obtain a RF signal power difference.

[0099] In one embodiment, the central processor 30 is further used to obtain a mapping relationship table between the radio frequency signal power difference and physiological data; match the radio frequency signal power difference with the mapping relationship table between the radio frequency signal power difference and physiological data; and use the physiological data corresponding to the successfully matched radio frequency signal power difference as the physiological data of the user.

[0100] In one embodiment, the central processor 30 is further used to determine whether the heart rate is greater than a preset heart rate standard value and whether the blood oxygen saturation is greater than a preset blood oxygen saturation standard value; when the heart rate is greater than the preset heart rate standard value and / or the blood oxygen saturation is greater than the preset blood oxygen saturation standard value, an abnormal warning reminder message is issued; the heart rate difference is calculated based on the heart rate and the preset heart rate standard value, and the blood oxygen saturation difference is calculated based on the blood oxygen saturation and the preset blood oxygen saturation standard value; a target adjustment recommendation strategy is generated based on the heart rate difference and the blood oxygen saturation difference, and the target adjustment recommendation strategy is displayed.

[0101] In one embodiment, the central processor 30 is further configured to issue a normal prompt message when the heart rate is less than or equal to a preset heart rate standard value and the blood oxygen saturation is less than or equal to a preset blood oxygen saturation standard value.

[0102] In one embodiment, the central processor 30 is further configured to display the value corresponding to the heart rate and the value corresponding to the blood oxygen saturation.

[0103] Other embodiments or implementation methods of the physiological data detection system of the present invention can refer to the above-mentioned method embodiments, which will not be repeated here.

[0104] In addition, it should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0105] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0106] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus the necessary general hardware platform, or of course by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, an integrated platform workstation, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0107] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A physiological data detection method, characterized in that: Applied to radio frequency-based smart wearable devices, the physiological data detection method includes the following steps: Acquire radio frequency signals that do not pass through the user's limbs and radio frequency signals that pass through the user's limbs; Calculating a radio frequency signal power difference based on the radio frequency signal that has not passed through the user's limbs and the radio frequency signal that has passed through the user's limbs; determining the physiological data of the user according to the radio frequency signal power difference; The calculating the radio frequency signal power difference based on the radio frequency signal that has not passed through the user's limbs and the radio frequency signal that has passed through the user's limbs includes: Obtaining a first radio frequency signal power according to the radio frequency signal that has not passed through the user's limbs; obtaining a plurality of second radio frequency signal powers according to a plurality of radio frequency signals passing through a body part of the user; Acquire the number of radio frequency signals collected passing through the user's body parts; Calculating an average radio frequency signal power based on the plurality of second radio frequency signal powers and the number; A difference is calculated between the first radio frequency signal power and the average radio frequency signal power to obtain a radio frequency signal power difference.

2. The physiological data detection method according to claim 1, wherein: The obtaining of radio frequency signals that have not passed through the user's limbs and radio frequency signals that have passed through the user's limbs includes: Acquiring radio frequency signals that do not pass through the user's body parts; Obtaining a corresponding radio frequency signal frequency according to the radio frequency signal that has not passed through the user's body part; A radio frequency signal having the same frequency as the radio frequency signal and passing through a limb of the user is obtained.

3. The physiological data detection method according to claim 1, wherein: The determining the physiological data of the user according to the radio frequency signal power difference includes: Obtaining a mapping relationship table between radio frequency signal power difference and physiological data; matching the radio frequency signal power difference with a mapping relationship table between the radio frequency signal power difference and physiological data; The physiological data corresponding to the successfully matched radio frequency signal power difference is used as the physiological data of the user.

4. The physiological data detection method according to any one of claims 1 to 3, characterized in that: The physiological data includes heart rate and blood oxygen saturation; After determining the physiological data of the user according to the radio frequency signal power difference, the method further includes: Determining whether the heart rate is greater than a preset heart rate standard value and whether the blood oxygen saturation is greater than a preset blood oxygen saturation standard value; When the heart rate is greater than a preset heart rate standard value and / or the blood oxygen saturation is greater than a preset blood oxygen saturation standard value, an abnormal warning reminder message is issued; Calculating a heart rate difference based on the heart rate and a preset heart rate standard value, and calculating a blood oxygen saturation difference based on the blood oxygen saturation and a preset blood oxygen saturation standard value; A target adjustment recommendation strategy is generated according to the heart rate difference and the blood oxygen saturation difference, and the target adjustment recommendation strategy is displayed.

5. The physiological data detection method according to claim 4, wherein: After determining whether the heart rate is greater than a preset heart rate standard value and whether the blood oxygen saturation is greater than a preset blood oxygen saturation standard value, the method further includes: When the heart rate is less than or equal to the preset heart rate standard value and the blood oxygen saturation is less than or equal to the preset blood oxygen saturation standard value, a normal prompt message is issued.

6. The physiological data detection method according to claim 4, wherein: After determining the physiological data of the user according to the radio frequency signal power difference, the method further includes: The numerical value corresponding to the heart rate and the numerical value corresponding to the blood oxygen saturation are displayed.

7. A physiological data detection system, characterized in that: The physiological data detection system includes: a matrix transmitting antenna, a matrix receiving antenna and a central processing unit; The matrix transmitting antenna is used to obtain the radio frequency signal frequency of the radio frequency signal; The matrix receiving antenna is used to obtain radio frequency signals having the same frequency as the radio frequency signal that have not passed through the user's limbs and radio frequency signals that have passed through the user's limbs; The central processing unit is configured to calculate a radio frequency signal power difference based on the radio frequency signal that has not passed through the user's limbs and the radio frequency signal that has passed through the user's limbs; The central processing unit is further configured to determine the physiological data of the user based on the radio frequency signal power difference; The central processor is further used to obtain a first RF signal power based on the RF signal that has not passed through the user's limbs; obtain a number of second RF signal powers based on a number of RF signals that have passed through the user's limbs; obtain the number of collected RF signals that have passed through the user's limbs; calculate an average RF signal power based on the number and power of the second RF signals; and perform a difference calculation between the first RF signal power and the average RF signal power to obtain a RF signal power difference.

8. A physiological data detection device, characterized in that: The physiological data detection device includes: a memory, a processor, and a physiological data detection program stored in the memory and executable on the processor, wherein the physiological data detection program is configured to implement the physiological data detection method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium stores a physiological data detection program, which, when executed by a processor, implements the physiological data detection method according to any one of claims 1 to 6.

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