Control method and device based on physical sign data

Abstract

The invention provides a control method and device based on physical sign data, and the method comprises the following steps: configuring a control device which obtains the physical sign data from a finger blood vessel, and recognizes the identity and physical state of a user according to the physical sign data; and loading or downloading a preset value of the user, and transmitting the preset value to equipment provided with a control device. The method has the advantages that according to the physical sign data, the identity recognition function is achieved, the preset value can be adjusted according to the current physical condition of the human body, and the household product has more intimate user experience.

Description

Technical Field

[0001] The present invention relates to the field of medical health information technology, and in particular to a control method and device based on vital sign data. Background Art

[0002] With the development of smart home Internet of Things technology, coupled with people's increasing attention to health and the development of health monitoring technology, the combination of technologies from different fields has produced many new applications that facilitate people's lives.

[0003] Existing home appliances are controlled by buttons, remote controls, mobile phones, and even wearable devices, while some home products have added identity recognition to traditional controls, and load the set settings according to the identity, making it convenient for different groups of people to use. For example, a fingerprint module is set on a smart hair dryer, and the identity is recognized by fingerprint, and the set temperature and wind speed are loaded, that is, the wind is blown according to the person, such as the elderly and children like warm and soft wind, young men like strong natural wind, and women like strong hot wind. However, people's physical health conditions change. When the physical condition changes, they cannot adapt to the original preset settings. For example, when a young man is sick and sweats frequently and needs to dry his hair, a strong natural wind is not suitable, which will aggravate the condition, but a warm and soft wind is suitable. Existing smart home appliances cannot automatically adjust the preset values ​​according to the user's physical condition. Summary of the invention

[0004] In view of the defects of current identity recognition, the present invention proposes a control method and device based on vital sign data, which not only has the function of identity recognition, but also can adjust the preset value according to the current physical condition of the human body, so that home products have a more considerate user experience, which is achieved through the following technical solution.

[0005] The present invention relates to a control method based on vital sign data, comprising the following steps: A control device is configured to obtain vital sign data from the blood vessels of the finger and identify the user's identity and physical condition based on the vital sign data; The preset value of the user is loaded or downloaded, and the preset value is transmitted to the device equipped with the control device.

[0006] The present invention also relates to a control device based on vital sign data, which is used to implement a control method. The control device is configured in a device to serve as a switch. When the control device obtains the vital sign data on the user's finger, it serves as a signal to turn on the device.

[0007] The beneficial effects of the present invention are: based on the vital sign data, it not only has the identity recognition function, but also can adjust the preset value according to the current physical condition of the human body, so that the home product has a more considerate user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 4 is a flow chart of a control method in an embodiment of the present invention.

[0009] Figure 2 4 is a flowchart of identity determination in an embodiment of the present invention.

[0010] Figure 3 It is a flow chart of judging the physical state in an embodiment of the present invention.

[0011] Figure 4 1 is a structural block diagram of a control device in an embodiment of the present invention. DETAILED DESCRIPTION

[0012] The embodiments of the present invention are described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways as defined and covered by the claims.

[0013] like Figure 1 As shown, a control method based on vital sign data comprises the following steps: S1. Configuring a control device, the control device acquires vital sign data from the blood vessels of the finger, and identifies the user's identity and physical condition according to the vital sign data; S2. Load or download the preset value of the user, and transmit the preset value to the device equipped with the control device.

[0014] Press the control device with any finger for a few seconds, and the control device will collect vital sign data, compare the vital sign data with the pre-stored vital sign data, and identify the user.

[0015] Compared with the existing fingerprint and finger vein, there is no need to pre-store the fingerprint image and finger vein image of the finger. If the user only records the fingerprint or finger vein of one finger, the fingerprint and finger vein of other fingers cannot be identified. However, the vital sign data recognition of the present invention can be used for any finger, and the vital sign data is the same.

[0016] During identification, it is necessary to compare multiple vital signs data, such as PPG data, and secondary analysis of PPG data to obtain respiratory rate, heart rate, blood pressure, blood oxygen, and heart rate variability.

[0017] The server is configured to communicate with the device. The device obtains the vital sign data from the control device and transmits it to the server through a wireless or wired network. The server analyzes the vital sign data and determines the user's current physical condition. After the analysis is completed, appropriate parameters are configured based on the analysis results and transmitted to the device. The device obtains the parameters from the server and operates according to the parameters.

[0018] Press the control device with any finger for a few seconds, and the control device will collect vital sign data, obtain the user's RF sensor signal and PPG signal, and group the response characteristics of the RF sensor signal into groups, one group for identity recognition, and one group for judging the user's physical condition in combination with the PPG signal.

[0019] According to the response characteristics of the radio frequency sensing signal, based on the Gaussian mixture clustering method, static human tissue and dynamic human tissue are clustered respectively, and human tissues with similar response characteristics are classified into the same type of tissue. The response characteristics of static human tissue are used to identify the user's identity, and the response characteristics of dynamic human tissue are used to judge the user's physical condition.

[0020] According to the influence of dielectric properties, physiological changes, and environmental changes on the dielectric properties of human tissues, human tissues are preliminarily divided into static response tissues and dynamic response tissues. Static response tissues refer to human tissues whose dielectric properties are less affected by external interference over a period of time and whose RF sensor signal response characteristics are stable, such as fat and muscle. If the human tissue is easily affected by movement, breathing, temperature, humidity, or changes in blood sugar concentration (such as tissue fluid, blood, etc.), the tissue is a dynamic response tissue.

[0021] The radio frequency sensing signals are respectively incident on human tissues to obtain the response characteristics of the radio frequency sensing signals, where the response characteristics include amplitude information, phase information, group velocity information, etc.

[0022] According to the response characteristics of the radio frequency sensor signal, a Gaussian mixture clustering method is used to cluster static human tissues and dynamic human tissues respectively, so that human tissues with similar response characteristics are classified into the same type of tissue. The specific implementation process is as follows.

[0023] The Gaussian mixture clustering method is a linear combination of a finite number of independent multivariate Gaussian distribution models. Assuming that the frequency RF response characteristics of a certain human tissue are , then the Gaussian mixture clustering method can be expressed as the formula:

[0024]

[0025] Among them, x is the response feature, P is the probability density, and N is the number of response features.

[0026] There are three parameters that need to be evaluated in the Gaussian mixture clustering model, namely , , ,in is the expectation of the model, represents the distribution weight of each RF response characteristic, In order to determine the values ​​of the above three parameters, the maximum likelihood method is used for parameter estimation. First, , , Initialize and calculate the posterior probability as shown in the following formula:

[0027] in, is the response point.

[0028] Solve separately , , The maximum likelihood value is obtained as shown in the following formula until the algorithm converges. Based on the calculation results of the above Gaussian mixture model, clustering of human tissues with similar RF response characteristics is achieved.

[0029]

[0030] The RF response characteristics are calculated through the above-mentioned Gaussian mixture clustering and classified into the characteristics of static response tissue and dynamic response tissue.

[0031] The control device can be used as a control switch. After the device obtains the user's vital sign data through the control device, the device is operated. Before the device is operated, the user's preset values ​​are loaded and the device is operated according to the preset values.

[0032] like Figure 2 As shown, the response characteristics of the static human tissue of the radio frequency sensing signal are verified and compared with the data pre-stored in the control device to determine the identity of the user; or the PPG data is verified and compared with the PPG data pre-stored in the control device to determine the identity of the user. If the vital sign data is consistent with the pre-stored data, it is determined that the user is a preset user, that is, a user who has set preferences as preset values ​​in advance. Otherwise, it is a non-preset user, that is, a new user, who has not set preferences as preset values.

[0033] like Figure 3 As shown, the body state is obtained according to the vital sign data, and the response characteristics of the dynamic human tissue are compared with the data pre-stored in the control device. If the data are consistent, the body state is judged to be normal; if not, the body state is judged to be abnormal; or the PPG data in the vital sign data is compared with the PPG data pre-stored in the control device for verification. If part or all of the data are inconsistent, the body state is judged to be abnormal, otherwise it is judged to be normal.

[0034] When it is determined to be an abnormal physical state, the acquired vital sign data is uploaded to the server, which analyzes the user's physical state and configures new preset values ​​based on the physical state and transmits them to the control device to replace the original preset values.

[0035] In an embodiment of the present invention, the device includes a smart home connected to a server, such as a smart TV, a smart air conditioner, a smart hair dryer, a smart sofa, a smart massage chair, a smart kitchen appliance, a smart water heater, and a smart toilet.

[0036] Take the smart massage chair as an example. A control device is set on the massage chair. The surface of the control device is a photoelectric sensor. Place any finger on the surface of the control device to activate the photoelectric sensor. Place the finger on the surface of the control device for 3-5 seconds. In an embodiment of the present invention, the control device is a wearable bracelet / watch that is connected to communicate with the device. The bracelet / watch sends information about the user's identity and physical condition to the device. After the device receives the information, it loads the user's preset values ​​and runs.

[0037] This control method is a remote control method, and devices suitable for this control method include: smart air conditioners, smart water heaters, etc.

[0038] Take water heaters as an example. Since household water heaters are preferably installed in the kitchen rather than the bathroom, they are automatically thermostatic and can output constant temperature hot water. However, for male users, the acceptable temperature of hot water is around 35°, while for female users, it is around 40°. The current way to lower the water temperature in the bathroom is to adjust the valve of the shower so that the cold and hot water are mixed in a certain proportion. The control of the shower valve requires constant adjustment of the position to control the output of cold and hot water. This adjustment method requires multiple attempts, and it is not easy to reach a satisfactory water temperature.

[0039] By adopting the method of the present invention, a wireless connection is established between the finger ring and the household water heater. After the connection is established, the finger ring transmits the identity and body status to the water heater. The water heater can load the preset value according to the identity of the user and adjust the water temperature of the water heater.

[0040] After the water heater receives the vital sign data, the control device first verifies the identity information. If the identity information is correct and the vital sign data does not match the pre-stored data, the information is uploaded to the server.

[0041] After the server obtains the information, it analyzes the vital sign data through the algorithm stored in the server. If it is determined that the user's state is abnormal, a new preset value is transferred from the database according to the user's state and transmitted to the control device.

[0042] The user status includes normal status, sick status, post-exercise status, etc. Among them, the heart rate value in the post-exercise status is significantly higher than that in the normal status. Compared with the normal status, the respiratory rate, body temperature and heart rate in the sick status are different from those in the normal status.

[0043] like Figure 4As shown, a control device for controlling the equipment based on vital sign feature recognition is configured in the equipment as a switch. When the control device obtains the vital sign data on the user's finger, it serves as a signal to turn on the equipment and can replace the switch button. That is, on some smart home appliances, only one control device is required, and no other buttons are required.

[0044] The control device mainly includes the following structures: Data collection module: collects vital sign data from any finger of the user; Comparison module: compares the vital sign data with the pre-stored data to identify the user, that is, to determine whether it is normal based on the vital sign data; Communication module: upload abnormal data to the server and download new preset values ​​from the server.

[0045] The data acquisition module includes: The PPG module obtains the PPG data of the human body through an optical sensor, such as a pulse photoelectric sensor, and its photoelectric sensor group can obtain PPG data;

[0046] The radio frequency module, the radio frequency transmitter and the radio frequency receiver arranged relatively to each other, obtain the response characteristics of the radio frequency sensing signal of the human body tissue.

[0047] The control device includes multiple sensors, such as body surface temperature sensor, PPG sensor, radio frequency module, etc. When any finger is pressed on the control device and stays for a few seconds, the control device obtains body temperature and PPG data through the finger surface temperature and the condition of the finger's internal artery. Then, the PPG data is analyzed to obtain vital signs such as respiratory rate, heart rate, blood pressure, blood oxygen, and heart rate variability.

[0048] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A control method based on vital sign data, comprising the following steps: A control device is configured to obtain vital sign data from the blood vessels of the finger and identify the user's identity and physical state according to the vital sign data; The preset value of the user is loaded or downloaded, and the preset value is transmitted to the device equipped with the control device.

2. The control method according to claim 1, characterized in that: Press the control device with any finger for a few seconds, and the control device will collect vital sign data, obtain the user's RF sensor signal and PPG signal, and group the response characteristics of the RF sensor signal into groups, one group for identity recognition, and one group for judging the user's physical condition in combination with the PPG signal.

3. The control method according to claim 1, characterized in that: According to the response characteristics of the radio frequency sensing signal, based on the Gaussian mixture clustering method, static human tissue and dynamic human tissue are clustered respectively, and human tissues with similar response characteristics are classified into the same type of tissue. The response characteristics of static human tissue are used to identify the user's identity, and the response characteristics of dynamic human tissue are used to judge the user's physical condition.

4. The control method according to claim 3, characterized in that: A method for identifying a user based on vital sign data includes the following steps: Verify and compare the static human tissue response characteristics of the radio frequency sensing signal with the data pre-stored in the control device to determine the identity of the user; Or the PPG data may be verified and compared with the PPG data pre-stored in the control device to determine the identity status of the user.

5. The control method according to claim 4, characterized in that: A method for obtaining a physical state according to physical sign data includes the following steps: Compare the response characteristics of the dynamic human tissue with the data pre-stored in the control device, and judge the body state to be normal if the data are consistent, and judge the body state to be abnormal if they are inconsistent; Or the PPG data in the vital sign data is compared with the PPG data pre-stored in the control device for verification. If part or all of the data are inconsistent, it is judged that the physical state is abnormal, otherwise it is judged that the physical state is normal.

6. The control method according to claim 5, characterized in that: When it is determined to be an abnormal physical state, the acquired vital sign data is uploaded to the server, which analyzes the user's physical state and configures new preset values ​​based on the physical state and transmits them to the control device to replace the original preset values.

7. The control method according to claim 1, characterized in that: Configure the wearable equipment and establish a wireless communication connection with the control device. The wearable equipment transmits the vital sign data to the control device. After the control device obtains the vital sign data of the wearable device, it identifies the user's identity and physical condition based on the vital sign data, loads the user's preset values, and turns on and runs the equipment.

8. A control device based on vital sign data, characterized in that: Used to implement the control method described in any one of claims 1 to 7, the control device is configured in the device as a switch, and when the control device obtains the vital sign data on the user's finger, it serves as a signal to turn on the device.

9. The control device according to claim 8, characterized in that: The control device comprises: Data collection module: collects vital sign data from any finger of the user; Comparison module: compares the vital sign data with the pre-stored data to identify the user, that is, to determine whether it is normal based on the vital sign data; Communication module: upload abnormal data to the server and download new preset values ​​from the server.

10. The control device according to claim 8, characterized in that: The data acquisition module comprises: PPG module, which obtains the human body's PPG data through optical sensors; The radio frequency module, the radio frequency transmitter and the radio frequency receiver arranged relatively to each other, obtain the response characteristics of the radio frequency sensing signal of the human body tissue.

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