WO2018090254A1 - 一种生物测定数据存储方法、电子设备及*** - Google Patents

一种生物测定数据存储方法、电子设备及*** Download PDF

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Publication number
WO2018090254A1
WO2018090254A1 PCT/CN2016/106121 CN2016106121W WO2018090254A1 WO 2018090254 A1 WO2018090254 A1 WO 2018090254A1 CN 2016106121 W CN2016106121 W CN 2016106121W WO 2018090254 A1 WO2018090254 A1 WO 2018090254A1
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Prior art keywords
biometric
data
biometric data
user
sensor
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PCT/CN2016/106121
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English (en)
French (fr)
Inventor
李彦
朱萸
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华为技术有限公司
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Priority to PCT/CN2016/106121 priority Critical patent/WO2018090254A1/zh
Priority to CN201680090874.8A priority patent/CN110268480A/zh
Publication of WO2018090254A1 publication Critical patent/WO2018090254A1/zh

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass

Definitions

  • Embodiments of the present invention relate to the field of communications technologies, and, more particularly, to a biometric data storage method, an electronic device, and a system.
  • Family health monitoring equipment can detect and record the personal health status of family members, so that the health and safety of family members, especially the elderly, is guaranteed.
  • the health monitoring device cannot accurately identify the identity of the current family member. That is, regardless of who is using the health monitoring device, the health monitoring device will default to the same user and will monitor the result. There may be errors in record keeping, generated health assessment reports, etc.
  • the present application provides a biometric data storage method, an electronic device and a system, which improve user biometrics convenience.
  • an embodiment of the present application provides a biometric data storage method.
  • the method includes: obtaining first biometric data and second biometric data; determining whether the second biometric data matches a biometric template of the registered user; if it is determined that the second biometric data matches the biometric template of the registered user, Store the first biometric data In the user profile associated with the registered user.
  • the first biometric data collected by the user through the electronic device is analyzed by the health monitoring application of the electronic device to generate a health assessment report, thereby learning the current health status of the user.
  • the second biometric data is unique to each user, for example, fingerprint data, voice data, iris data, and face data. While the user measures the first biometric data, the user's identity is identified by using the second biometric data unique to each user, and the user's first biometric data is saved in the corresponding user profile, thereby generating more accurate Health report.
  • a new user account and a user profile associated with the new user account are created; A biometric data is stored in a user profile associated with the new user account. If the second biometric data does not match the biometric template of the registered user, it indicates that the user currently measuring the first biometric data does not register an account, and a new user account needs to be created, and the second biometric data acquisition of the user can be reacquired. Biometric template to complete the registration of new users.
  • the first biometric data can also be used to identify the user.
  • the method further comprises: determining whether the electronic device can identify the user identity using the first biometric data; The device does not have the ability to identify the user's identity using the first biometric data, and obtains the second biometric data to verify the identity of the user.
  • the first biometric data includes any of electrocardiogram (ECG) data, photoplethysmogram (PPG) data, and bioelectrical impedance data.
  • ECG electrocardiogram
  • PPG photoplethysmogram
  • bioelectrical impedance data bioelectrical impedance data
  • the second biometric data includes any of fingerprint data, voice data, and iris data.
  • embodiments of the present application provide another biometric data storage method.
  • the method includes: obtaining first biometric data; determining whether the first biometric data matches a biometric template of the registered user; and if the first biometric data is determined to match the biometric template of the registered user, storing the first biometric data In the user profile associated with the registered user.
  • the first biometric data is also unique to each user and can be used for user identification. While the user measures the first biometric data, the user's identity is identified by using the first biometric data unique to each user, and the user's first biometric data is saved in the corresponding user profile, thereby generating more accurate Health report.
  • the first biometric data if it is determined that the first biometric data does not match the biometric template of the registered user, a new user account and a user profile associated with the new user account are created; the first biometric data is to be Stored in the user profile associated with the new user account. If the first biometric data does not match the biometric template of the registered user, it indicates that the user currently measuring the first biometric data does not register an account, and a new user account needs to be created, and the user's first biometric data acquisition can be reacquired. Biometric template to complete the registration of new users.
  • the first biometric data includes any of electrocardiogram (ECG) data, photoplethysmogram (PPG) data, and bioelectrical impedance data.
  • ECG electrocardiogram
  • PPG photoplethysmogram
  • bioelectrical impedance data bioelectrical impedance data
  • an embodiment of the present invention provides an electronic device having functions in a possible design that implements the first aspect and the first aspect described above.
  • the functions may be implemented by hardware or by corresponding software implemented by hardware.
  • the hardware or software includes one or more modules corresponding to the functions described above.
  • the modules can be software and/or hardware.
  • an embodiment of the present invention provides another electronic device having the functions of implementing the second aspect and the second aspect of the possible design.
  • the functions may be implemented by hardware or by corresponding software implemented by hardware.
  • the hardware or software includes one or more modules corresponding to the functions described above.
  • the modules can be software and/or hardware.
  • an embodiment of the present invention provides a biometric data storage system, the system comprising: a first biometric sensor configured to detect first biometric data; and a second biometric sensor configured to detect a second biometric Determining data; a memory configured to store a biometric template of at least one registered user; a processor configured to: acquire first biometric data from the first biometric sensor; and acquire a second biometric from the second biometric sensor Data; determining whether the second biometric data matches the registered The biometric template of the user; if it is determined that the second biometric data matches the biometric template of the registered user, the first biometric data is written to the user profile associated with the registered user in the memory.
  • the biometric data storage system can include a first electronic device (eg, an electronic sphygmomanometer) and a second electronic device (eg, a smart phone), the first biometric data being acquired by the first electronic device, and collected by the second electronic device Second biometric data.
  • the second biometric data is unique to each user, for example, fingerprint data, voice data, iris data, and face data. While the user measures the first biometric data, the user's identity is identified by using the second biometric data unique to each user, and the user's first biometric data is saved in the corresponding user profile, thereby generating more accurate Health report.
  • the processor is further configured to: create a new user account and a user profile associated with the new user account if it is determined that the second biometric data does not match the biometric template of the registered user
  • the first biometric data is written to a user profile in the memory associated with the new user account. If the second biometric data does not match the biometric template of the registered user, it indicates that the user currently measuring the first biometric data does not register an account, and a new user account needs to be created, and the second biometric data acquisition of the user can be reacquired. Biometric template to complete the registration of new users.
  • the first biometric sensor is coupled to the processor via a wireless interface.
  • the first biometric sensor is coupled to the processor via a wired interface.
  • the first biometric sensor and the processor are disposed in the same device or are respectively disposed in different devices.
  • the second biometric sensor is disposed in the same device as the processor or separately in a different device.
  • the first biometric data includes any of electrocardiogram (ECG) data, photoplethysmogram (PPG) data, and bioelectrical impedance data.
  • ECG electrocardiogram
  • PPG photoplethysmogram
  • bioelectrical impedance data bioelectrical impedance data
  • the second biometric data includes any of fingerprint data, voice data, and iris data.
  • an embodiment of the present invention provides a computer storage medium for storing computer software instructions for use in the electronic device, including a program designed to perform the above aspects.
  • the solution provided by the invention can improve the convenience of the user to collect biometric data.
  • FIG. 1 is a block diagram of an electronic device in accordance with one embodiment of the present invention.
  • FIG. 2 is a front elevational view of an electronic device in accordance with one embodiment of the present invention.
  • FIG. 3 is a right side view of an electronic device in accordance with one embodiment of the present invention.
  • FIG. 4 is a right side view of an electronic device in accordance with another embodiment of the present invention.
  • FIG. 5 is a view of a front bottom portion of an electronic device according to still another embodiment of the present invention.
  • FIG. 6 is a view of a front bottom portion of an electronic device according to still another embodiment of the present invention.
  • FIG. 7 is a front elevational view of an electronic device in accordance with another embodiment of the present invention.
  • FIG. 8 is a flow chart of a biometric data storage method in accordance with one embodiment of the present invention.
  • FIG. 9 is a schematic diagram of user profile creation in accordance with one embodiment of the present invention.
  • FIG. 10 is a flowchart of a biometric data storage method according to another embodiment of the present invention.
  • FIG. 11 is a schematic diagram of a biometric data storage system in accordance with one embodiment of the present invention.
  • FIG. 12 is a specific application scenario diagram of a system according to another embodiment of the present invention. intention.
  • FIG. 13 is a schematic diagram of a specific application of collecting biometric data according to an embodiment of the present invention.
  • FIG. 14 is a schematic diagram of a specific application of collecting biometric data in accordance with another embodiment of the present invention.
  • the electronic devices described in this specification may include electronic blood pressure monitors, tablets, smart phones, laptop computers, digital broadcast terminals, personal digital assistants (PDAs), portable multimedia players (PMPs), GPS navigation systems, and wearables.
  • PDAs personal digital assistants
  • PMPs portable multimedia players
  • GPS navigation systems and wearables.
  • Devices for example, smart watches, smart belts, etc.
  • fixed terminals such as digital TVs and desktop computers in addition to portable terminals.
  • the electronic device 100 may include a processor 101, a sensor 102, a sensor 103, a sensor 104, an input module 105, a display module 106, a communication module 107, a memory 108, and a bus 109. Since the electronic device 100 is not limited to the components shown in FIG. 1, more or fewer components may be used to implement the electronic device 100.
  • Electronic device 100 includes more than one sensor, such as sensor 102, sensor 103, and sensor 104 in FIG.
  • the sensors 102-104 may be biometric sensors for collecting biometric data, for example, the sensor 102 is a fingerprint sensor, the sensor 103 is a photoplethysmographic (PPG) signal sensor, and the sensor 104 is an electrocardiogram (ECG) sensor.
  • the electronic device 101 may further include an image sensor, a sound sensor, a motion sensor (eg, a gyroscope, an accelerometer), an electromyogram (EMG) sensor, a bioelectrical impedance sensor, and the like.
  • the fingerprint sensor 102 generates fingerprint identification information from the signal of the fingerprint recognition electrode, and senses When a user's finger touch on the surface of the fingerprint sensor 102 is detected, the fingerprint sensor 102 generates fingerprint data corresponding to the fingerprint pattern of the finger pressed on the sensor.
  • the fingerprint sensor 102 can generate press sensing data corresponding to the user's pressing, including, for example, a pressing position, a direction, a rotation angle, a finger tilt, a pressure, etc., and the fingerprint sensor 102 outputs the generated fingerprint data and/or the pressing sensing data to Processor 101.
  • the PPG sensor 103 utilizes the principle that the light sensing element absorbs light energy, and records the light change to induce an electrical signal.
  • the PPG sensor 103 is a combination of at least one photodetector and a matching light source located near the photodetector, the light source may include a light emitting diode (LED), and examples of light colors emitted by the LED may include green, red, and blue, and the photodetector The received light energy is converted into an electrical signal.
  • the light source may include a light emitting diode (LED)
  • examples of light colors emitted by the LED may include green, red, and blue
  • the photodetector The received light energy is converted into an electrical signal.
  • the ECG sensor 104 includes a plurality of electrodes, an amplifier, and a digital filter.
  • the electrode senses the user's ECG signal by, for example, contacting the skin of the user's finger.
  • the amplifier amplifies the ECG signal sensed by the electrodes.
  • the digital filter converts the amplified ECG signal into a digital signal.
  • the electronic device 100 also includes an input module 105 that can receive commands or data from a user and communicate it to the processor 101 or memory 108 via the bus 109.
  • the input module 105 can include a touch panel, a keyboard, or an ultrasound input device.
  • the touch panel can recognize the touch input by at least one of a capacitive type, a pressure sensitive type, an infrared type, or an ultrasonic method.
  • the touchpad may also include a controller. For capacitive, not only can the direct touch be recognized, but the proximity can also be identified.
  • the touch panel may also include a tactile layer. At this point, the touchpad can provide a tactile response to the user.
  • the keyboard can include a physical keyboard or a virtual touch keyboard.
  • the electronic device 100 also includes a display module 106 that can display graphics, images, or data to the user.
  • display module 106 can include a panel.
  • the panel may be an LCD (liquid-crystal display), an LED (light emitting diode display), or an AMOLED (active-matrix organic light-emitting diode).
  • the panel can be constructed to be flexible, transparent, or wearable.
  • the panel can also be configured as a module with the touch panel.
  • the display module 106 can also To include a control circuit for the control panel.
  • the electronic device 100 also includes a communication module 107 to enable the device 100 to communicate with one or more other electronic devices or servers (not shown) using any suitable communication protocol.
  • the communication module 107 can support a short-range communication protocol such as Wi-Fi (wireless fidelity), Bluetooth (BT: Bluetooth), Near Field Communication (NFC) or, for example, the Internet.
  • Wi-Fi wireless fidelity
  • Bluetooth Bluetooth
  • NFC Near Field Communication
  • the communication module 107 can also include circuitry that enables the electronic device 100 to couple with another device (eg, a computer) to communicate with the other device by wire or wirelessly.
  • the bus 109 may connect components (for example, the processor 101, the memory 108, the sensor 102, the sensor 103, the input module 105, and the display module 106) included in the electronic device 100 to each other, and enable communication between constituent elements. Circuit.
  • the processor 101 is operative to execute instructions (e.g., instructions fetched from the input module 105), interrupt handling, timing, and other functions. Additionally, the processor 101 may further include a graphics processing unit.
  • the memory 108 can store instructions or data received by the processor 101 or other constituent elements (e.g., from the input module 105, the display module 106, the communication module 107) or generated by the processor 101 or other constituent elements.
  • the memory 108 may include an internal buffer and an external buffer.
  • the electronic device 200 includes two ECG electrodes 201.
  • the electronic device 200 may be a tablet, and the two ECG electrodes 201 are disposed in the middle of the left border of the electronic device 200, and in the middle of the right border. In various embodiments, the number of electrodes and their location may vary.
  • FIG. 3 is a right side view of an electronic device in accordance with one embodiment of the present invention.
  • the electronic device 200 includes an ECG electrode 201 at the right border.
  • a light emitting diode 202 for the PPG sensor 103 may be disposed near the ECG electrode 201 (light in the above) The source) and the light receiving diode 203 (photodetector in the above), thereby simultaneously performing ECG measurement and PPG measurement.
  • the electronic device 200 includes a fingerprint recognition electrode 204 at the right border instead of the ECG electrode 201.
  • the light emitting diode 202 and the light receiving diode 203 for the PPG sensor 103 may be disposed in the vicinity of the fingerprint recognition electrode 204. Thus, fingerprint measurement and PPG measurement can be achieved simultaneously.
  • the number of ECG electrodes 201 and their positions, the number of light emitting diodes 202 and their positions, the number of light receiving diodes 203 and their positions, and the number of fingerprint recognition electrodes 204 and their positions may be different.
  • the electronic device 200 includes a fingerprint recognition electrode 204 at the right border.
  • the light emitting diode 202 and the light receiving diode 203 for the PPG sensor 103 may be disposed in the vicinity of the fingerprint recognition electrode 204.
  • the ECG electrode 201 may be disposed in the vicinity of the fingerprint recognition electrode 204.
  • the number of ECG electrodes 201 and their positions, the number of light emitting diodes 202 and their positions, the number of light receiving diodes 203 and their positions, and the number of fingerprint recognition electrodes 204 and their positions may be different.
  • FIG. 5 is a view of the front bottom of an electronic device in accordance with yet another embodiment of the present invention.
  • the electronic device 200 includes an ECG electrode 201 at the front bottom.
  • a light emitting diode 202 and a light receiving diode 203 for the PPG sensor 103 may be disposed near the ECG electrode 201.
  • ECG measurements and PPG measurements can be achieved simultaneously.
  • the electronic device 200 includes a fingerprint recognition electrode 204 at the front bottom that replaces the ECG electrode 201.
  • the light emitting diode 202 and the light receiving diode 203 for the PPG sensor 103 may be disposed in the vicinity of the fingerprint recognition electrode 204. Thus, fingerprint measurement and PPG measurement can be achieved simultaneously.
  • the number of ECG electrodes 201 and their positions, the number of light emitting diodes 202 and their positions, the number of light receiving diodes 203 and their positions, and the number of fingerprint recognition electrodes 204 and their positions may be different.
  • the electronic device 100 includes a fingerprint recognition electrode 204 at the front bottom.
  • the light emitting diode 202 and the light receiving diode 203 for the PPG sensor 103 may be disposed in the vicinity of the fingerprint recognition electrode 204.
  • the ECG electrode 201 may be disposed in the vicinity of the fingerprint recognition electrode 204.
  • the number of ECG electrodes 201 and their positions, the number of light emitting diodes 202 and their positions, the number of light receiving diodes 203 and their positions, and the number of fingerprint recognition electrodes 204 and their positions may be different.
  • the ECG electrode 201 or the fingerprint recognition electrode 204 may be disposed at, for example, a power button, a main button, a picture capture button, and other function buttons.
  • FIG. 7 is a front elevational view of an electronic device in accordance with another embodiment of the present invention.
  • the wearable device 700 includes three ECG electrodes 701, 702, and 703, wherein the ECG electrode 701 is disposed at the front of the wearable device 700, and the ECG electrode 702 and the ECG electrode 703 are disposed behind the wearable device 700. unit.
  • the number of electrodes and their location may vary.
  • a light emitting diode and a light receiving diode for the PPG sensor 103 may be disposed near the ECG electrode 702 or 703, thereby simultaneously achieving ECG measurement and PPG measurement.
  • the wearable device 700 includes a fingerprint recognition electrode that replaces the ECG electrode 701.
  • a light emitting diode and a light receiving diode for the PPG sensor 103 may also be disposed in the vicinity of the fingerprint recognition electrode.
  • fingerprint measurement and PPG measurement can be achieved simultaneously.
  • a fingerprint recognition electrode may be disposed in the vicinity of the ECG electrode 701 of the wearable device 700.
  • Light-emitting diodes and light-receiving diodes for the PPG sensor 103 are disposed in the vicinity of the fingerprint recognition electrode.
  • the electronic device can use the biosensor (for example, the sensors 102-104) to collect body health information, including body temperature, blood pressure, heart rate, blood oxygen content, etc., and the collected biometric data is analyzed by the health monitoring application of the electronic device.
  • the health monitoring application informs the user about the health status and provides real-time health advice to the user.
  • Electronic devices generally have biometric identification capabilities, for example, utilizing unique features of the user Signs, such as fingerprints, irises, facial features, etc. for identification. Obviously, the user does not lose or forget his/her biometric features, nor does it need to write or remember them. Therefore, when using the electronic device for biometric data monitoring, the user can identify the user's identity by using the biometric identification function (for example, fingerprint recognition, iris recognition, etc.) of the electronic device, and save the measured biological data to the corresponding data. User accounts, which in turn generate more accurate health assessment reports.
  • biometric identification function for example, fingerprint recognition, iris recognition, etc.
  • FIG. 8 is a flow chart of a biometric data storage method in accordance with one embodiment of the present invention.
  • the processor 101 acquires first biometric data from a first biometric sensor.
  • the first biometric data includes any one of electrocardiogram (ECG) data, photoplethysmogram (PPG) data, and bioelectrical impedance data.
  • the processor 101 acquires second biometric data from the second biometric sensor.
  • the second biometric data is unique to each user, and the second biometric data includes any one of fingerprint data, voice data, and iris data.
  • the processor 101 determines whether the second biometric data matches the biometric template of the registered user
  • the memory 108 stores a biometric template that can directly or indirectly represent the second biometric data for at least one registered user.
  • the biometric template directly representing the second biometric data may be at least a portion of the information indicative of the sampled second biometric data, or may be the replicated data of the second biometric data.
  • the biometric template indirectly indicating the second biometric data may be information representing the second biometric data processed based on various signal processing methods, for example, the biometric template may be at least one feature point information obtained by performing signal processing. .
  • Biometric templates are a synthesis of related recognition characteristics and are extracted from some images or other biometric data.
  • the fingerprint determination template is composed of key features such as extracted key detail points.
  • the fingerprint measurement data is pre-processed (eg, by removing artifacts), the image is enhanced (eg, by removing background noise), the image data is normalized, and then certain features of the image are extracted, such as the spin and line in the fingerprint. And these key features are saved in the memory 108 as a biometric template.
  • a fingerprint determination template is created using a particular fingerprint image having representative recognition features.
  • the biometric template generated by the registration may be stored in the memory 108 for future use to allow the user to access the electronic device 200.
  • biometric data eg, fingerprints
  • sensor 102 In the process of verifying the identity of the user, biometric data (eg, fingerprints) sensed by sensor 102 is compared to a biometric template stored in memory 108 to verify the identity of the user.
  • biometric templates can be registered and stored in memory 108. Multiple biometric templates can come from one user or they can come from multiple users.
  • the processor 101 compares the second biometric data detected by the sensor with the biometric template stored in the memory 108 registered user to authenticate the user.
  • the processor 101 can operate based on a predetermined error range.
  • the error range may be determined by the user or may be predetermined based on statistical results in the electronic device. For example, the error range can be predetermined by the user to be 10%.
  • the processor 101 may It is determined that the second biometric data detected by the sensor matches the biometric template stored in the memory 108 registered user, and the processor 101 can authenticate the user.
  • the processor 101 can determine The second biometric data detected by the sensor does not match the biometric template of the registered user stored in memory 108.
  • the first biometric data is stored in the user associated with the registered user. In the profile.
  • the user profile stores biometric data characterizing the user, for example, PPG signal waveform data, ECG signal waveform data, signal processed PPG and ECG waveform data (eg, filtered PPG and ECG waveform data), characterization and heartbeat correlation At least a portion of the data of the parameter or at least a portion of the data characterizing the blood pressure-related parameter.
  • biometric data characterizing the user for example, PPG signal waveform data, ECG signal waveform data, signal processed PPG and ECG waveform data (eg, filtered PPG and ECG waveform data), characterization and heartbeat correlation At least a portion of the data of the parameter or at least a portion of the data characterizing the blood pressure-related parameter.
  • profile can refer to any data structure, data storage, and/or database that includes one or more of the information associated with an electronic device or user.
  • the electronic device stores a user profile of a plurality of registered users. For example, the electronic device scans a segment of the PPG signal waveform and determines that the PPG signal waveform is associated with the user A. The electronic device stores the user profile of the user A, and the electronic device saves the PPG signal waveform data in the user profile of the user A. .
  • a new user account and a user profile associated with the new user account are created (operation 850).
  • Creating a new user account may require the electronic device to reacquire the user's second biometric data.
  • the user interface may request the user to input one or more fingerprints of each of their fingers and process the fingerprints.
  • a fingerprint determination template representing the identity of the user is stored in the memory 108 for the new user, thereby completing the registration of the new user.
  • the electronic device displays a user profile creation dialog 901. If the user clicks on the "confirm” icon 903 and enters the name of the new user profile in the input box 902, the electronic device confirms the creation of a new user profile. For example, the user inputs "Zhang San” in the input box 902 and clicks the confirmation icon 903, and the electronic device creates a user profile named "Zhang San” for storing the biometric data associated with "Zhang San”. If the user clicks on the "Cancel” icon 904, the electronic device cancels the creation of the new user profile.
  • the first biometric data can be stored in a user profile associated with the new user (860).
  • the electronic device shown in FIG. 3 to FIG. 7 can acquire the PPG signal or the ECG signal. At the same time, the fingerprint image is obtained, so that the user can complete the identification operation simultaneously while monitoring the biological data.
  • the biometric template of the PPG signal or the ECG signal, and the biometric template extraction of the fingerprint are already mature technologies, and will not be described herein. It should be noted that although the PPG signal or the ECG signal is combined with the fingerprint image biometric information in the embodiment of the present invention, it may be combined with other biometric information (such as facial features, iris features, and speech features). Identification and identification.
  • user identification can also be achieved by processing an electrocardiogram (ECG) signal that reflects the electrical activity of the heart, and these signals vary from person to person depending on different factors, including the anatomical differences of the heart. , gender, relative weight, chest structure, etc.
  • ECG electrocardiogram
  • User identification can be achieved by analyzing the characteristics of the typical period (PQRST period) that forms the ECG. For example, a biometric template of an individual can be extracted using a PQRST cycle, which can include features such as relative position and amplitude of P, Q, R, S, and T peaks.
  • Photoelectric Volume Pulse can also be used for user identification.
  • the PPG signal is easily extracted from various parts of the human body such as a finger, earlobe, wrist, or arm.
  • the PPG signals of a single individual are basically the same, and the PPG signals of different individuals have relatively large differences. Therefore, the PPG signals can be used for identification.
  • a biometric template is generated using biometric features of the PPG signal, such as PPG signal onset, PPG signal apex and valley points, and the like.
  • FIG. 10 is a flow chart of a biometric data storage method in accordance with another embodiment of the present invention.
  • the processor 101 acquires first biometric data from a first biometric sensor.
  • the first biometric data includes any one of electrocardiogram (ECG) data, photoplethysmogram (PPG) data, and bioelectrical impedance data.
  • the processor 101 determines whether the first biometric data matches the biometric template of the registered user; operation 1020 is similar to operation 830 (FIG. 8) and will not be described herein.
  • the first biometric data is stored in the user associated with the registered user. In the profile. Operation 1020 is similar to operation 840 (FIG. 8) and will not be described again herein.
  • a new user account and a user profile associated with the new user account are created (operation 1040).
  • the first biometric data can be stored in a user profile associated with the new user (operation 1050).
  • the memory 108 also stores information for the user that can directly or indirectly represent the user's first biometric data, thereby registering the user as a new user.
  • the electronic device requests the user to acquire a new first biosignal waveform, processing the first biosignal waveform if necessary to provide identity authentication information and registering such information in a database associated with the user.
  • FIG. 11 is a schematic diagram of a biometric data storage system in accordance with one embodiment of the present invention.
  • the system 1100 includes a first electronic device 1120 (eg, an electronic blood pressure monitor, a smart watch) and a second electronic device 1110 (eg, a tablet, a smart phone), and communication between the two devices may be wired or Wireless communication protocol.
  • a short-range wireless communication protocol such as Bluetooth, ZigBee, ANT; or a long-distance wired communication protocol, such as a protocol in the field of computer communication such as TCP/IP.
  • the first electronic device 1120 and the second electronic device 1110 may include constituent elements of the electronic device illustrated in FIG. 1.
  • the first electronic device 1120 includes a processor 1122, a first biometric sensor 1121, a communication module 1125, and a memory 1124.
  • the second electronic device 1110 includes a processor 1111, a second biometric sensor 1112, a communication module 1113, and a memory 1115.
  • second electronic device 1110 can obtain first biometric data of the user from first electronic device 1120.
  • the second electronic device 1110 acquires the second biometric data of the user, and the second electronic device 1110 authenticates the identity of the user based on the acquired second biometric data, and determines whether the second biometric data matches the biological of the registered user. Determining a template; if the second biometric data is determined to be registered The biometric template of the household matches, storing the first biometric data in a user profile associated with the registered user.
  • the first electronic device 1120 can be coupled to a user's arm and the second electronic device 1110 can be placed in the user's pocket.
  • the first electronic device 1120 is responsible for collecting the first biometric data
  • the second electronic device 1110 is responsible for authenticating the identity of the user and saving the first biometric data.
  • the first biometric sensor 1121 is for acquiring first biometric data of the user
  • the second biometric sensor 1112 is for acquiring second biometric data of the user
  • the second biometric sensor 1112 is correspondingly coupled to the second biometric sensor.
  • a processor 1111 that receives biometric data.
  • the first biometric sensor 1121 is correspondingly coupled to a processor 1122 that receives first biometric data from the first biometric sensor 1121.
  • Processor 1122 then provides data to its corresponding communication module 1125.
  • the second electronic device 1110 includes a communication module 1113 and a memory 115 that receive data from the communication module 1125.
  • System 1100 includes a first biometric sensor 1121, a memory 1115, a processor 1111, and a second biometric sensor 1112;
  • the first biometric sensor 1121 is configured to detect the first biometric data
  • a second biometric sensor 1112 configured to detect second biometric data
  • a memory 1115 configured to store a biometric template of at least one registered user
  • the processor 1111 is configured to: acquire first biometric data from the first biometric sensor; acquire second biometric data from the second biometric sensor; and determine whether the second biometric data matches the biometric of the registered user a template; if the second biometric data is determined to match the biometric template of the registered user, the first biometric data is written to a user profile associated with the registered user in memory.
  • the processor 1111 is further configured to:
  • the first biometric data is written to a user profile in memory that is associated with the new user account.
  • the first biometric sensor is coupled to the processor via a wireless interface.
  • the first biometric sensor and the processor are coupled by a wired interface.
  • the first biometric sensor and the processor are disposed in the same device, or are respectively disposed in different devices.
  • the second biometric sensor is disposed in the same device as the processor, or is respectively disposed in different devices.
  • the first biometric data includes any one of electrocardiogram (ECG) data, photoplethysmogram (PPG) data, and bioelectrical impedance data.
  • the second biometric data includes any one of fingerprint data, voice data, and iris data.
  • Figure 11 shows only a simplified design of the device 1120 for measuring first biometric data and the device 1110 for storing first biometric data.
  • the first electronic device 1120 and the second electronic device 1110 may further include any number of processors, memories, communication modules, sensors, etc., and the electronic device 1110 and the electronic device 1120 may further include the input module in FIG. Display module.
  • the first electronic device 1120 in FIG. 11 can include a wristband, a watch, a ring, a button, and the like, and can be worn on any part of the human body, which is not limited thereto.
  • FIG. 12 depicts a schematic diagram of a specific application scenario of a biometric data storage system according to FIG.
  • the device 1210 can be a portable electronic device such as a smart phone
  • the device 1220 can be a wearable electronic device such as a smart watch
  • the device 1220 can also be replaced with an electronic blood pressure monitor.
  • the display module displays a "click measurement” icon 1310, and if the user clicks the "click measurement” icon 1310, the electronic device 1300 can Begin the process of measuring the first biometric data by the user by placing his body part (for example, Fingers, palms, and the like) are in contact with a biosensor (eg, sensors 102-104 in FIG. 1) to acquire first biometric data to know their own health indicators (eg, blood pressure, heart rate, blood oxygenate, etc.).
  • a biosensor eg, sensors 102-104 in FIG. 1
  • the user contacts the sensors in the middle of the left side of the electronic device 1300 (eg, the PPG sensor and the fingerprint sensor) and the sensors in the middle of the right side (eg, the PPG sensor and the fingerprint sensor) to start collecting biometric data.
  • the display module can automatically recognize the identity of the current user and display the icon 1410 "now the mother wants to measure blood pressure", and the "mother” avatar 1420 is enlarged and displayed. Blood pressure data is automatically saved in the “Mom” account directory.
  • the electronic device of FIGS. 13 and 14 may be combined with another electronic device (eg, an electronic sphygmomanometer, a blood glucose meter) to form a system as shown in FIG. 12 to perform measurement of biometric data.
  • another electronic device eg, an electronic sphygmomanometer, a blood glucose meter
  • the electronic device 1300 of FIG. 13 is responsible for user identification (eg, fingerprint, voice, and iris recognition may be employed), and the electronic sphygmomanometer is responsible for measuring the user's blood pressure.
  • the electronic device includes corresponding hardware structures and/or software modules for performing the respective functions in order to implement the above functions.
  • the steps of the methods or algorithms described in the present disclosure can be combined with hardware or hardware and computer software in combination with the elements and algorithm steps of the various examples described in the embodiments disclosed herein. Form to achieve. Whether a function is implemented in hardware or computer software to drive hardware depends on the specific application and design constraints of the solution. The skilled person can use different methods for each particular application to implement the described functionality.
  • the processor for executing the above electronic device of the embodiment of the present invention may be a central processing unit (CPU), a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), and a field programmable gate array (FPGA). Or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It is possible to implement or carry out the various illustrative logical blocks, modules and circuits described in connection with the present disclosure.
  • the processor may also be a combination of computing functions, for example, including one or more microprocessor combinations, a combination of a DSP and a microprocessor, and the like.
  • the steps of a method or algorithm described in connection with the present disclosure may be implemented in a hardware, or may be implemented by a processor executing software instructions.
  • the software instructions may be comprised of corresponding software modules that may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable hard disk, CD-ROM, or any other form of storage well known in the art.
  • An exemplary storage medium is coupled to the processor to enable the processor to read information from, and write information to, the storage medium.
  • the storage medium can also be an integral part of the processor.
  • the processor and the storage medium can be located in an ASIC. Additionally, the ASIC can be located in the user equipment.
  • the processor and the storage medium may also reside as discrete components in the user equipment.
  • the functions described in the embodiments of the present invention may be implemented in hardware, software, firmware, or any combination thereof.
  • the functions may be stored in a computer readable medium or transmitted as one or more instructions or code on a computer readable medium.
  • Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another.
  • a storage medium may be any available media that can be accessed by a general purpose or special purpose computer.

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Abstract

一种生物测定数据的存储方法，获取第一生物测定数据和第二生物测定数据；若确定第二生物测定数据与已注册用户的生物测定模板匹配，将第一生物测定数据存储在与已注册用户相关联的用户简档中。通过所述方法，可以在测量用户生物测定数据时自动识别用户身份，将用户生物测定数据保存至对应账户目录，从而提升用户使用的便捷性。

Description

一种生物测定数据存储方法、电子设备及*** 技术领域
本发明实施例涉及通信技术领域，并且更具体地，涉及一种生物测定数据存储方法、电子设备及***。
背景技术
伴随着人口老龄化、亚健康、环境污染等问题的出现，人们对健康的要求和关注程度越来越高。互联网、智能终端、可穿戴设备以及医疗信息化的快速发展，使得移动健康成为一个重要的发展方向，国内外市场越来越重视移动健康设备的开发和推广。越来越多的用户可以通过移动终端、可穿戴设备、家庭健康监测设备(例如，电子血压计、体重计等)监测自身的健康数据，如监测睡眠、监测心率、监测心理压力等。及时监测自身的健康指标(例如，血压、心率、心电图、睡眠等)，做到对自己的健康情况心中有数，早期发现问题，就能得到较好的治疗效果。
家庭健康监测设备，可以对家庭成员的个人健康状况进行检测与记录，使得家庭成员，尤其是老人的健康安全得到保证。用户在使用家庭健康监测设备进行健康监测时，健康监测设备并不能准确识别当前家庭成员的身份，即不管是谁在使用该健康监测设备，健康监测设备都会默认是同一用户使用，并将监测结果记录保存，生成的健康评估报告等可能存在误差。
发明内容
本申请提供一种生物测定数据存储方法、电子设备及***，提升用户生物测量的便捷性。
第一方面，本申请的实施例提供一种生物测定数据存储方法。方法包括：获取第一生物测定数据和第二生物测定数据；确定第二生物测定数据是否与已注册用户的生物测定模板匹配；若确定第二生物测定数据与已注册用户的生物测定模板匹配，将第一生物测定数据存储 在与已注册用户相关联的用户简档中。
用户通过电子设备采集的第一生物测定数据通过电子设备的健康监测应用进行分析，生成健康评估报告，进而得知用户当前的健康状况。第二生物测定数据是每个用户特有的，例如，指纹数据、语音数据、虹膜数据和人脸数据等。在用户测量第一生物测定数据的同时，利用每个用户特有的第二生物测定数据对用户的身份进行识别，将用户的第一生物测定数据保存在相应的用户简档中，从而生成更加精确的健康报告。
在一个可能的设计中，若确定第二生物测定数据与已注册用户的生物测定模板不匹配，创建一个新的用户账户和与所述新的用户账户相关联的用户简档；将所述第一生物测定数据存储在与新的用户账户相关联的用户简档中。假如第二生物测定数据与已注册用户的生物测定模板不匹配，说明当前测量第一生物测定数据的用户未注册账户，需要创建一个新的用户账户，可以重新采集用户的第二生物测定数据获取生物测定模板，完成新用户的注册。
在一个可能的设计中，第一生物测定数据也可以用于识别用户身份，在获取第二生物测定数据之前，方法还包括：确定电子设备是否可以利用第一生物测定数据识别用户身份；如果电子设备不具备采用第一生物测定数据识别用户身份的能力，获取第二生物测定数据来验证用户身份。
在一个可能的设计中，第一生物测定数据包括心电图(ECG)数据、光电血管容积图(PPG)数据和生物电阻抗数据中的任一种。
在一个可能的设计中，第二生物测定数据包括指纹数据、语音数据和虹膜数据中的任一种。
第二方面，本申请的实施例提供另一种生物测定数据存储方法。方法包括：获取第一生物测定数据；确定第一生物测定数据是否匹配已注册用户的生物测定模板；若确定第一生物测定数据与已注册用户的生物测定模板匹配，将第一生物测定数据存储在与已注册用户相关联的用户简档中。
第一生物测定数据也是每个用户特有的，可以用于用户的身份识别。在用户测量第一生物测定数据的同时，利用每个用户特有的第一生物测定数据对用户的身份进行识别，将用户的第一生物测定数据保存在相应的用户简档中，从而生成更加精确的健康报告。
在一个可能的设计中，若确定第一生物测定数据与已注册用户的生物测定模板不匹配，创建一个新的用户账户和与新的用户账户相关联的用户简档；将第一生物测定数据存储在与新的用户账户相关联的用户简档中。假如第一生物测定数据与已注册用户的生物测定模板不匹配，说明当前测量第一生物测定数据的用户未注册账户，需要创建一个新的用户账户，可以重新采集用户的第一生物测定数据获取生物测定模板，完成新用户的注册。
在一个可能的设计中，第一生物测定数据包括心电图(ECG)数据、光电血管容积图(PPG)数据和生物电阻抗数据中的任一种。
第三方面，本发明实施例提供了一种电子设备，该电子设备具有实现上述第一方面和第一方面的可能设计中的功能。所述功能可以通过硬件实现，也可以通过硬件执行相应的软件实现。所述硬件或软件包括一个或多个与上述功能相对应的模块。所述模块可以是软件和/或硬件。
第四方面，本发明实施例提供了另一种电子设备，该电子设备具有实现上述第二方面和第二方面的可能设计中的功能。所述功能可以通过硬件实现，也可以通过硬件执行相应的软件实现。所述硬件或软件包括一个或多个与上述功能相对应的模块。所述模块可以是软件和/或硬件。
第五方面，本发明实施例提供了一种生物测定数据存储***，***包括：第一生物测定传感器，被配置为检测第一生物测定数据；第二生物测定传感器，被配置为检测第二生物测定数据；存储器，被配置为存储至少一个已注册用户的生物测定模板；处理器，被配置为：从第一生物测定传感器获取第一生物测定数据；从第二生物测定传感器获取第二生物测定数据；确定第二生物测定数据是否匹配已注册用 户的生物测定模板；若确定第二生物测定数据与已注册用户的生物测定模板匹配，向存储器中的与已注册用户相关联的用户简档中写入第一生物测定数据。
用户在采集生物测定数据时，有时需要两个或多个电子设备配合采集和存储。例如，生物测定数据存储***可以包括第一电子设备(例如，电子血压计)和第二电子设备(例如，智能手机)，通过第一电子设备采集第一生物测定数据，通过第二电子设备采集第二生物测定数据。第二生物测定数据是每个用户特有的，例如，指纹数据、语音数据、虹膜数据和人脸数据等。在用户测量第一生物测定数据的同时，利用每个用户特有的第二生物测定数据对用户的身份进行识别，将用户的第一生物测定数据保存在相应的用户简档中，从而生成更加精确的健康报告。
在一个可能的设计中，处理器被进一步配置为：若确定第二生物测定数据与已注册用户的生物测定模板不匹配，创建一个新的用户账户和与新的用户账户相关联的用户简档；向存储器中的与新的用户账户相关联的用户简档中写入第一生物测定数据。假如第二生物测定数据与已注册用户的生物测定模板不匹配，说明当前测量第一生物测定数据的用户未注册账户，需要创建一个新的用户账户，可以重新采集用户的第二生物测定数据获取生物测定模板，完成新用户的注册。
在一个可能的设计中，第一生物测定传感器与处理器通过无线接口耦合。
在一个可能的设计中，第一生物测定传感器与处理器通过有线接口耦合。
在一个可能的设计中，第一生物测定传感器与处理器设置于同一设备中，或分别设置于不同的设备中。
在一个可能的设计中，第二生物测定传感器与处理器设置于同一设备中，或分别设置于不同的设备中。
在一个可能的设计中，第一生物测定数据包括心电图(ECG)数据、光电血管容积图(PPG)数据和生物电阻抗数据中的任一种。
在一个可能的设计中，第二生物测定数据包括指纹数据、语音数据和虹膜数据中的任一种。
再一方面，本发明实施例提供了一种计算机存储介质，用于储存为上述电子设备所用的计算机软件指令，其包含用于执行上述方面所设计的程序。
相较于现有技术，本发明提供的方案可以提升用户采集生物测定数据的便捷性。
附图说明
为了更清楚地说明本发明实施例的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是根据本发明一个实施例的电子设备的模块图；
图2是根据本发明一个实施例的电子设备的前视图；
图3是根据本发明一个实施例的电子设备的右侧视图；
图4是根据本发明另一个实施例的电子设备的右侧视图；
图5是根据本发明又一个实施例的电子设备的前底部的视图；
图6是根据本发明再一个实施例的电子设备的前底部的视图；
图7为根据本发明另一个实施例的电子设备的前视图；
图8是根据本发明一个实施例的生物测定数据存储方法的流程图；
图9是根据本发明一个实施例的用户简档创建示意图；
图10是根据本发明另一个实施例的生物测定数据存储方法的流程图；
图11是根据本发明一个实施例的生物测定数据存储***的示意图；
图12是根据本发明另一个实施例的一个***的具体应用场景示 意图；
图13是根据本发明一个实施例的采集生物测定数据的具体应用示意图；
图14是根据本发明另一个实施例的采集生物测定数据的具体应用示意图。
具体实施方式
下面结合附图，对本发明的实施例进行描述。
在本发明的实施例的描述中，需要理解的是，术语“第一”、“第二”、“第三”等词仅仅用于描述目的，并不能理解为表示主次关系。
在本说明书中描述的电子设备可以包括电子血压计、平板电脑、智能电话、膝上型计算机、数字广播终端、个人数字助理(PDA)、便携多媒体播放机(PMP)、GPS导航***及可穿戴设备(例如，智能手表、智能环带等等)。然而，对于本领域内的技术人员显而易见的是，除了便携终端之外，根据本发明的实施例的配置进一步可以适用于固定终端，诸如数字TV和台式计算机。
图1为根据本发明一个实施例的电子设备的模块图。参照图1，电子设备100可包括处理器101、传感器102、传感器103、传感器104、输入模块105、显示模块106、通信模块107、存储器108和总线109。因为电子设备100不限于在图1中所示的部件，所以可以使用更多或更少的部件来实现电子设备100。
电子设备100包括不止一个传感器，例如，图1中的传感器102、传感器103和传感器104。传感器102-104可以为生物测定传感器，用于采集生物测定数据(biometric data)，例如，传感器102为指纹传感器，传感器103为光电容积脉搏波(PPG)信号传感器，传感器104为心电图(ECG)传感器。可选地，电子设备101还可以包括图像传感器、声音传感器、运动传感器(例如，陀螺仪、加速度计)、肌电图(EMG)传感器、生物电阻抗传感器等。
指纹传感器102从指纹识别电极的信号产生指纹识别信息，当感 测到指纹传感器102的表面上的用户手指触摸时，指纹传感器102产生与按压在传感器上的手指的指纹图样相对应的指纹数据。指纹传感器102可以产生与用户的按压相对应的按压感测数据，例如包括按压位置、方向、旋转角度、手指倾斜、压力等，指纹传感器102将产生的指纹数据和/或按压感测数据输出到处理器101。
PPG传感器103利用光感测元件吸收光线能量的原理，记录光线变化感应产生电信号。PPG传感器103是至少一个光电检测器和位于光电检测器附近的匹配光源的组合，光源可以包括发光二极管(LED)，通过LED发射的光色的示例可包括绿色、红色和蓝色，光电检测器将所接收的光能转换成电信号。
ECG传感器104包括多个电极、放大器和数字滤波器。电极通过例如与用户的手指皮肤接触来感测用户的ECG信号。放大器对由电极感测到的ECG信号进行放大。数字滤波器将放大后的ECG信号转换为数字信号。
电子设备100还包括输入模块105，输入模块105可从用户接收命令或数据，并通过总线109传递给处理器101或存储器108。例如，输入模块105可包括触摸板(touch panel)、键盘、或超声波输入装置。触摸板可通过电容式、感压式、红外线方式、或超声波方式中的至少一种方式识别触摸输入。其中，触摸板还可以包括控制器。对于电容式而言，不仅可以识别直接触摸，而且还可以识别靠近。所述触摸板还可以包括触觉层(tactile layer)。此时，触摸板可以给用户提供触觉反应。键盘可以包括实体键盘或虚拟触摸键盘。
电子设备100还包括显示模块106，显示模块106可将图形、图像或数据显示给用户。例如，显示模块106可包括面板。例如，面板可以是LCD(liquid-crystal display，液晶显示器)、LED(light emitting diode display，发光二极体面板)、AMOLED(active-matrix organic light-emitting diode，主动矩阵有机发光二极体面板)。并且，面板可以被构成为柔软(flexible)、透明(transparent)或者可穿戴(wearable)。其中，面板也可以与触摸板构成为一个模块。另外，显示模块106还可 以包括用于控制面板的控制电路。
电子设备100还包括通信模块107，以使设备100可以利用任何适当的通信协议与一个或多个其它电子装置或服务器(图中未示出)通信。其中，通信模块107可支持如Wi-Fi(wireless fidelity，无线保真)、蓝牙(BT：Bluetooth)、近场通信(NFC：near field communication)之类的近距离通信协议或者如因特网(Internet)、局域网(LAN：local area network)、广域网(WAN：wire area network)、远程通信网络(telecommunication network)、蜂窝网络(cellular network)、卫星网络(satellite network)。通信模块107还可包括使电子设备100能够与另一个设备(例如，计算机)耦合，通过有线或无线方式与所述另一个设备通信的电路。
总线109可以是将电子设备100所包括的构成要素(例如，处理器101、存储器108、传感器102、传感器103、输入模块105、显示模块106)相互连接起来，并使构成要素之间实现通信的电路。
处理器101用于执行指令(例如，从输入模块105获取的指令)、中断处理、定时和其他功能。另外，处理器101可进一步包括图形处理单元(graphic processing unit)。
存储器108可存储处理器101或其他构成要素(例如，从输入模块105、显示模块106、通信模块107)接收或由所述处理器101或其他构成要素产生的指令或数据。此时，存储器108可包括内部缓冲器和外部缓冲器。
图2为根据本发明一个实施例的电子设备的前视图。参照图2，电子设备200包括两个ECG电极201。电子设备200可以为平板电脑，这两个ECG电极201被布置在电子设备200的左边框的中部，以及右边框的中部。在各个实施例中，电极的数量和它们的位置可以不同。
图3是根据本发明一个实施例的电子设备的右侧视图。如图3中所示,电子设备200包括在右边框处的ECG电极201。可以在ECG电极201附近布置用于PPG传感器103的发光二极管202(上文中的光 源)和光接收二极管203(上文中的光电检测器)，进而同时实现ECG测量和PPG测量。
而且，电子设备200包括在右边框处的取代ECG电极201的指纹识别电极204。可以在指纹识别电极204的附近布置用于PPG传感器103的发光二极管202和光接收二极管203。由此，指纹测量和PPG测量可以同时实现。
在图3中，ECG电极201的数量和它们的位置、发光二极管202的数量和它们的位置、光接收二极管203的数量和它们的位置、以及指纹识别电极204的数量和它们的位置可以不同。
图4是根据本发明另一个实施例的电子设备的右侧视图。如图4所示，电子设备200包括在右边框处的指纹识别电极204。可以在指纹识别电极204的附近布置用于PPG传感器103的发光二极管202和光接收二极管203。另外，可以在指纹识别电极204的附近布置ECG电极201。由此，指纹测量、ECG测量和PPG测量可以同时实现。
在图4中，ECG电极201的数量和它们的位置、发光二极管202的数量和它们的位置、光接收二极管203的数量和它们的位置、以及指纹识别电极204的数量和它们的位置可以不同。
图5是根据本发明又一个实施例的电子设备的前底部的视图。如图5中所示，电子设备200包括在前底部处的ECG电极201。可以在ECG电极201附近布置用于PPG传感器103的发光二极管202和光接收二极管203。由此，ECG测量和PPG测量可以同时实现。
而且，电子设备200包括在前底部处的取代ECG电极201的指纹识别电极204。可以在指纹识别电极204的附近布置用于PPG传感器103的发光二极管202和光接收二极管203。由此，指纹测量和PPG测量可以同时实现。
在图5中，ECG电极201的数量和它们的位置、发光二极管202的数量和它们的位置、光接收二极管203的数量和它们的位置、以及指纹识别电极204的数量和它们的位置可以不同。
图6是根据本发明再一个实施例的电子设备的前底部的视图。如 图6中所示，电子设备100包括在前底部处的指纹识别电极204。可以在指纹识别电极204的附近布置用于PPG传感器103的发光二极管202和光接收二极管203。另外，可以在指纹识别电极204的附近布置ECG电极201。由此，指纹测量、ECG测量和PPG测量可以同时实现。
在图6中，ECG电极201的数量和它们的位置、发光二极管202的数量和它们的位置、光接收二极管203的数量和它们的位置、以及指纹识别电极204的数量和它们的位置可以不同。
在图3至图6中，ECG电极201或指纹识别电极204可以被布置在诸如电源按钮、主按钮、图片拍摄按钮和其他功能按钮处。
图7为根据本发明另一个实施例的电子设备的前视图。参照图7，可穿戴设备700包括三个ECG电极701、702和703，其中ECG电极701被布置在可穿戴设备700的前部，ECG电极702和ECG电极703被布置在可穿戴设备700的后部。在各个实施例中，电极的数量和它们的位置可以不同。
可以在ECG电极702或703附近布置用于PPG传感器103的发光二极管和光接收二极管，进而同时实现ECG测量和PPG测量。
可选的，可穿戴设备700包括取代ECG电极701的指纹识别电极。也可以在指纹识别电极的附近布置用于PPG传感器103的发光二极管和光接收二极管。由此，指纹测量和PPG测量可以同时实现。
可选的，可在可穿戴设备700的ECG电极701的附近布置指纹识别电极。并在指纹识别电极的附近布置用于PPG传感器103的发光二极管和光接收二极管。由此，指纹测量、ECG测量和PPG测量可以同时实现。
电子设备可以利用生物传感器(例如，传感器102-104)采集身体健康信息，包括体温、血压、心律、血液含氧量等，采集的生物测定数据(biometric data)通过电子设备的健康监测应用进行分析，健康监测应用告知用户的健康状况，并给用户提供实时健康建议。
电子设备一般具有生物身份识别功能，例如，利用用户唯一的特 征，如指纹、虹膜、面貌等来进行身份识别。很明显，用户不会丢失或者遗忘他/她的生物统计特征，也不需要将这些写下来或者记住。因此，用户在使用电子设备进行生物数据监测时，可以利用电子设备具有的生物身份识别功能(例如，指纹识别、虹膜识别等)对用户的身份进行识别，并将测得的生物数据保存至相应的用户账户，进而生成更加准确的健康评估报告。
图8是根据本发明一个实施例的生物测定数据存储方法的流程图。
参照图8，在操作810，处理器101从第一生物测定传感器获取第一生物测定数据。第一生物测定数据包括心电图(ECG)数据、光电血管容积图(PPG)数据和生物电阻抗数据中的任一种。
在操作820，处理器101从第二生物测定传感器获取第二生物测定数据。第二生物测定数据是每个用户特有的，第二生物测定数据包括指纹数据、语音数据和虹膜数据中的任一种。
在操作830，处理器101确定第二生物测定数据是否匹配已注册用户的生物测定模板；
存储器108针对至少一个已注册用户(registered user)存储可直接或间接表示第二生物测定数据的生物测定模板。例如，直接表示第二生物测定数据的生物测定模板可以是表示采样的第二生物测定数据的至少一部分信息，或者可以是第二生物测定数据的复制数据。间接表示第二生物测定数据的生物测定模板可以是基于各种信号处理方法处理得到的表示第二生物测定数据的信息，例如，生物测定模板可以是执行的信号处理所得到的至少一条特征点信息。
生物测定模板是相关识别特性的合成，并且，是从一些图像或其它的生物测定数据提取的。以指纹数据为例，指纹测定模板由诸如关键细节点的提取的关键特征构成。例如指纹测定数据经过预处理(例如，通过去除伪像)、增强图像(例如，通过去除背景噪声)、归一化图像数据，然后经过特征提取图像的某些特征，诸如指纹中的旋和线，并将这些关键特征作为生物测定模板保存在存储器108中。在一些实 施例中，使用具有代表识别特征的特定指纹图像来创建指纹测定模板。
在用户注册过程中，对于第一次使用电子设备的用户，注册产生的生物测定模板可存储于存储器108中，以供将来使用，以允许该用户访问电子设备200。
在验证用户身份的过程中，由传感器102感测的生物测定数据(例如，指纹)与存储于存储器108中的生物测定模板相比较以验证用户的身份。在一些实施例中，多个生物测定模板可被注册并存储于存储器108中。多个生物测定模板可以来自一个用户，或者它们可以来自多个用户。
虽然对于注册、模板产生描述了特定的操作，但应理解，存在用于这种操作的许多其它的方法和***。因此，以上是仅是提供各种生物测定注册/感测操作的一个例子，不限制这里描述的实施例。
处理器101将由传感器检测的第二生物测定数据与存储在存储器108已注册用户的生物测定模板进行比较来认证用户。
将由传感器检测的第二生物测定数据与存储在存储器108已注册用户的生物测定模板进行比较时，处理器101可基于预定的误差范围进行操作。所述误差范围可由用户确定或者可在电子设备中基于统计的结果被预先确定。例如，所述误差范围可被用户预先确定为10％。当由传感器检测的第二生物测定数据与存储在存储器108已注册用户的生物测定模板进行比较的结果发生7％的误差时，因为7％的误差在预定的误差范围内，所以处理器101可确定由传感器检测的第二生物测定数据与存储在存储器108已注册用户的生物测定模板匹配，处理器101可认证用户。将由传感器检测的第二生物测定数据与存储在存储器108已注册用户的生物测定模板进行比较的结果发生12％的误差时，因为12％的误差在预定的误差范围外，所以处理器101可确定由传感器检测的第二生物测定数据与存储在存储器108的已注册用户的生物测定模板不匹配。
在操作840，若确定第二生物测定数据与已注册用户的生物测定模板匹配，将第一生物测定数据存储在与已注册用户相关联的用户简 档(profile)中。
用户简档存储表征用户的生物测定数据，例如，PPG信号波形数据、ECG信号波形数据、经过信号处理的PPG和ECG波形数据(例如，滤波处理后的PPG和ECG波形数据)、表征与心跳相关的参数的至少一部分数据或表征与血压相关的参数的至少一部分数据。术语“简档”可以指任何数据结构、数据存储、和/或包括与电子设备或用户相关联的信息中的一项或多项的数据库。
可选地，电子设备存储了多个已注册用户的用户简档。例如，电子设备扫描了一段PPG信号波形并确定该PPG信号波形和用户A相关联，电子设备存储了用户A的用户简档，电子设备将该PPG信号波形数据保存在用户A的用户简档中。
在一些实施例中，若确定第二生物测定数据与已注册用户的生物测定模板不匹配，创建一个新的用户账户和与新的用户账户相关联的用户简档(操作850)。
创建一个新的用户账户可能需要电子设备重新采集用户的第二生物测定数据，以指纹测定数据为例，用户界面可能请求用户输入他们的每根手指的一个或多个指纹，对这些指纹进行处理以提供指纹测定模板。在存储器108中针对新的用户存储表示用户身份的指纹测定模板，进而完成新用户的注册。
如图9所示，在一些实施例中，电子设备显示一个用户简档创建对话框901。如果用户点击了“确认”图标903并在输入框902输入新的用户简档的名称，电子设备确认创建新的用户简档。例如，用户在输入框902输入了“张三”，并点击了确认图标903，电子设备创建一个名为“张三”的用户简档用于存储与“张三”相关联的生物数据。如果用户点击了“取消”图标904，电子设备取消新的用户简档的创建操作。
新的用户账户和与新的用户账户相关联的用户简档创建后，可以将第一生物测定数据存储在与新的用户相关联的用户简档中(860)。
图3至图7示出的电子设备可以在获取PPG信号或ECG信号的 同时获取指纹图像，这样，便于用户在监测生物数据时同时完成身份识别操作。PPG信号或ECG信号的生物测定模板，指纹的生物测定模板提取已是较成熟的技术，在此不再赘述。应该注意，虽然在本发实施例中是将PPG信号或ECG信号与指纹图像生物特征信息相结合，但也可以与其它生物特征信息(例如面貌特征、虹膜特征、语音特征)相结合的方式来进行身份识别和鉴定。
在一些实施例中，也可以通过处理心电图(ECG)信号来实现用户身份识别，心电图信号反映了心脏的电活动，而且这些信号依据不同因素而因人而异，这些因素包括心脏的解剖学区别、性别、相对体重、胸腔构造等等。可以通过分析形成ECG的典型周期(PQRST周期)的特性来实现用户的身份识别。例如，利用PQRST周期提取出个体的生物测定模板，生物测定模板可以包括P、Q、R、S和T峰值的相对位置和幅度等特征。
另外，光电容积脉搏波(PPG)也可用于用户身份识别。PPG信号易于从人体的各个部位例如手指，耳垂，手腕，或手臂等提取。而且，单个个体的PPG信号基本一致，不同个体的PPG信号存在比较大的差异，因此，可以将PPG信号用于身份识别。例如，利用PPG信号的生物特征如PPG信号起始点，PPG信号顶点和谷点等信息生成生物测定模板。
图10是根据本发明另一个实施例的生物测定数据存储方法的流程图。
参照图10，在操作1010，处理器101从第一生物测定传感器获取第一生物测定数据。第一生物测定数据包括心电图(ECG)数据、光电血管容积图(PPG)数据和生物电阻抗数据中的任一种。
在操作1020，处理器101确定第一生物测定数据是否匹配已注册用户的生物测定模板；操作1020与操作830(图8)类似，在此不再赘述。
在操作1030，若确定第一生物测定数据与已注册用户的生物测定模板匹配，将第一生物测定数据存储在与已注册用户相关联的用户 简档中。操作1020与操作840(图8)类似，在此不再赘述。
在一些实施例中，若确定第一生物测定数据与已注册用户的生物测定模板不匹配，创建一个新的用户账户和与新的用户账户相关联的用户简档(操作1040)。
新的用户账户和与新的用户账户相关联的用户简档创建后，可以将第一生物测定数据存储在与新的用户相关联的用户简档中(操作1050)。
在一些实施例中，存储器108还需针对所述用户存储可直接或间接表示用户的第一生物测定数据的信息，进而将所述用户注册为新用户。可选地，电子设备请求用户采集一段新的第一生物信号波形，如果必要的话对第一生物信号波形进行处理以提供身份认证信息并且将这种信息注册在与该用户相关联的数据库中。
图11是根据本发明一个实施例的生物测定数据存储***的示意图。
参照图11，***1100包括一个第一电子设备1120(例如，电子血压计、智能手表)和一个第二电子设备1110(例如，平板电脑、智能手机)，两个设备间的通信可以采用有线或者无线通信协议。例如，可以是短距离的无线通信协议，如蓝牙(Bluetooth)、ZigBee、ANT；或者是长距离的有线通信协议，如采用TCP/IP等计算机通信领域的协议。第一电子设备1120和第二电子设备1110可以包括图1中所示的电子设备的构成元素。示例性的，第一电子设备1120包括处理器1122，第一生物测定传感器1121，通信模块1125和存储器1124。第二电子设备1110包括处理器1111，第二生物测定传感器1112，通信模块1113和存储器1115。
在***1100中，第二电子设备1110可以从第一电子设备1120获取用户的第一生物测定数据。第二电子设备1110获取用户的第二生物测定数据，第二电子设备1110基于获取到的第二生物测定数据对用户的身份进行认证，确定所述第二生物测定数据是否匹配已注册用户的生物测定模板；若确定所述第二生物测定数据与所述已注册用 户的生物测定模板匹配，将所述第一生物测定数据存储在与所述已注册用户相关联的用户简档中。
在一个实例中，第一电子设备1120可以联接至一位用户的手臂上，第二电子设备1110可以置于该用户的口袋中。第一电子设备1120负责收集第一生物测定数据，第二电子设备1110负责对用户的身份进行认证及第一生物测定数据的保存。第一生物测定传感器1121用于获取用户的第一生物测定数据，第二生物测定传感器1112用于获取用户的第二生物测定数据，第二生物测定传感器1112对应地联接至从第二生物测定传感器接收生物测定数据的一个处理器1111。第一生物测定传感器1121对应地联接至从第一生物测定传感器1121接收第一生物测定数据的一个处理器1122。处理器1122然后向其对应的通信模块1125提供数据。第二电子设备1110包括接收来自通信模块1125的数据的一个通信模块1113和存储器115。
***1100包括第一生物测定传感器1121，存储器1115，处理器1111，和第二生物测定传感器1112；
其中，第一生物测定传感器1121，被配置为检测第一生物测定数据；
第二生物测定传感器1112，被配置为检测第二生物测定数据；
存储器1115，被配置为存储至少一个已注册用户的生物测定模板；
处理器1111，被配置为：从第一生物测定传感器获取第一生物测定数据；从第二生物测定传感器获取第二生物测定数据；确定所述第二生物测定数据是否匹配已注册用户的生物测定模板；若确定所述第二生物测定数据与所述已注册用户的生物测定模板匹配，向存储器中的与所述已注册用户相关联的用户简档中写入所述第一生物测定数据。
在一种可能的实现方式中，所述处理器1111被进一步配置为：
若确定所述第二生物测定数据与所述已注册用户的生物测定模板不匹配，创建一个新的用户账户和与所述新的用户账户相关联的用户简档；
向存储器中的与所述新的用户账户相关联的用户简档中写入所述第一生物测定数据。
在一种可能的实现方式中，所述第一生物测定传感器与所述处理器通过无线接口耦合。
在另一种可能的实现方式中，所述第一生物测定传感器与所述处理器通过有线接口耦合。
可选的，所述第一生物测定传感器与所述处理器设置于同一设备中，或分别设置于不同的设备中。
可选的，所述第二生物测定传感器与所述处理器设置于同一设备中，或分别设置于不同的设备中。
其中，第一生物测定数据包括心电图(ECG)数据、光电血管容积图(PPG)数据和生物电阻抗数据中的任一种。第二生物测定数据包括指纹数据、语音数据和虹膜数据中的任一种。
可以理解的是，图11仅仅示出了测量第一生物测定数据的设备1120和存储第一生物测定数据的设备1110的简化设计。在实际应用中，第一电子设备1120和第二电子设备1110还可以包含任意数量的处理器，存储器，通信模块、传感器等，电子设备1110和电子设备1120还可以包括图1中的输入模块、显示模块。可以理解的是，图11中的第一电子设备1120可以包括手环、手表、戒指、纽扣等，可以佩戴在人体的任何部位，对此不做限定。
图12描绘了根据图11的一个生物测定数据存储***的具体应用场景示意图。设备1210可以为智能手机等便携式电子设备，设备1220可以为智能手表等可穿戴式电子设备，设备1220也可以替换为电子血压计。
下面结合图形用户界面介绍本发明实施例的具体使用场景。
在一些实施方式中，参考图13，当用户打开健康监测应用需要测量心率、血压等健康指标时，显示模块显示“点击测量”图标1310，如果用户点击“点击测量”图标1310，电子设备1300可以开始执行测量第一生物测定数据的过程，用户通过将自己的身体部位(例如， 手指、手掌等部位)与生物传感器(例如，图1中传感器102-104)接触以采集第一生物测定数据获知自身的健康指标(例如，血压、心律、血液含氧量等)。例如，用户将左手食指和右手食指分别与电子设备1300的左侧中部的传感器(例如，PPG传感器和指纹传感器)和右侧中部的传感器(例如，PPG传感器和指纹传感器)接触开始采集生物测定数据。利用本发明实施例提供的方法，参照图14，显示模块可以自动识别出当前用户的身份并显示图标1410“现在是妈妈要测量血压”，同时“妈妈”的头像1420放大显示，这样测得的血压数据就自动保存于“妈妈”的账户目录下。
可选的，图13和图14中的电子设备可以与另一电子设备(例如，电子血压计、血糖仪)配合组成如图12所示的***来执行生物测定数据的测量。例如，图13中电子设备1300负责用户身份识别(例如，可以采用指纹、语音和虹膜识别)，电子血压计负责测量用户的血压。
上述主要从方法的角度对本发明公开内容提供的方案进行了介绍。可以理解的是，电子设备为了实现上述功能，其包含了执行各个功能相应的硬件结构和/或软件模块。本领域技术人员应该很容易意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，本发明公开内容所描述的方法或者算法的步骤能够以硬件或硬件和计算机软件的结合形式来实现。某个功能究竟以硬件还是计算机软件驱动硬件的方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能。
用于执行本发明实施例的上述电子设备的处理器可以是中央处理器(CPU)，通用处理器、数字信号处理器(DSP)、专用集成电路(ASIC)，现场可编程门阵列(FPGA)或者其他可编程逻辑器件、晶体管逻辑器件，硬件部件或者其任意组合。其可以实现或执行结合本发明公开内容所描述的各种示例性的逻辑方框，模块和电路。所述处理器也可以是实现计算功能的组合，例如包含一个或多个微处理器组合，DSP和微处理器的组合等等。
结合本发明公开内容所描述的方法或者算法的步骤可以硬件的方式来实现，也可以是由处理器执行软件指令的方式来实现。软件指令可以由相应的软件模块组成，软件模块可以被存放于RAM存储器、闪存、ROM存储器、EPROM存储器、EEPROM存储器、寄存器、硬盘、移动硬盘、CD-ROM或者本领域熟知的任何其它形式的存储介质中。一种示例性的存储介质耦合至处理器，从而使处理器能够从该存储介质读取信息，且可向该存储介质写入信息。当然，存储介质也可以是处理器的组成部分。处理器和存储介质可以位于ASIC中。另外，该ASIC可以位于用户设备中。当然，处理器和存储介质也可以作为分立组件存在于用户设备中。
本领域技术人员应该可以意识到，在上述一个或多个示例中，本发明实施例所描述的功能可以用硬件、软件、固件或它们的任意组合来实现。当使用软件实现时，可以将这些功能存储在计算机可读介质中或者作为计算机可读介质上的一个或多个指令或代码进行传输。计算机可读介质包括计算机存储介质和通信介质，其中通信介质包括便于从一个地方向另一个地方传送计算机程序的任何介质。存储介质可以是通用或专用计算机能够存取的任何可用介质。

Claims (20)

  1. 一种生物测定数据存储方法，其特征在于，包括：
    获取第一生物测定数据；
    获取第二生物测定数据；
    确定所述第二生物测定数据是否匹配已注册用户的生物测定模板；
    若确定所述第二生物测定数据与所述已注册用户的生物测定模板匹配，将所述第一生物测定数据存储在与所述已注册用户相关联的用户简档中。
  2. 如权利要求1所述的方法，其特征在于，所述方法还包括：
    若确定所述第二生物测定数据与所述已注册用户的生物测定模板不匹配，创建一个新的用户账户和与所述新的用户账户相关联的用户简档；
    将所述第一生物测定数据存储在与所述新的用户账户相关联的用户简档中。
  3. 如权利要求1或2所述的方法，其特征在于，所述第一生物测定数据包括心电图(ECG)数据、光电血管容积图(PPG)数据和生物电阻抗数据中的任一种。
  4. 如权利要求1至3任一所述的方法，其特征在于，所述第二生物测定数据包括指纹数据、语音数据和虹膜数据中的任一种。
  5. 一种生物测定数据存储方法，其特征在于，包括：
    获取第一生物测定数据；
    确定所述第一生物测定数据是否匹配已注册用户的生物测定模板；
    若确定所述第一生物测定数据与所述已注册用户的生物测定模板匹配，将所述第一生物测定数据存储在与所述已注册用户相关联的用户简档中。
  6. 如权利要求5所述的方法，其特征在于，所述方法还包括：
    若确定所述第一生物测定数据与所述已注册用户的生物测定模板不匹配，创建一个新的用户账户和与所述新的用户账户相关联的用户简档；
    将所述第一生物测定数据存储在与所述新的用户账户相关联的用户简档中。
  7. 如权利要求5或6所述的方法，其特征在于，所述第一生物测定数据包括心电图(ECG)数据、光电血管容积图(PPG)数据和生物电阻抗数据中的任一种。
  8. 一种电子设备，包括：
    第一生物测定传感器，被配置为检测第一生物测定数据；
    第二生物测定传感器，被配置为检测第二生物测定数据；
    存储器，被配置为存储至少一个已注册用户的生物测定模板；
    处理器，被配置为：从第一生物测定传感器获取第一生物测定数据；从第二生物测定传感器获取第二生物测定数据；确定所述第二生物测定数据是否匹配已注册用户的生物测定模板；若确定所述第二生物测定数据与所述已注册用户的生物测定模板匹配，向存储器中的与所述已注册用户相关联的用户简档中写入所述第一生物测定数据。
  9. 如权利要求8所述的电子设备，其特征在于，所述处理器被进一步配置为：
    若确定所述第二生物测定数据与所述已注册用户的生物测定模板不匹配，创建一个新的用户账户和与所述新的用户账户相关联的用户简档；
    向存储器中的与所述新的用户账户相关联的用户简档中写入所述第一生物测定数据。
  10. 如权利要求8或9所述的电子设备，其特征在于，所述第一生物测定数据包括心电图(ECG)数据、光电血管容积图(PPG)数据和生物电阻抗数据中的任一种。
  11. 如权利要求8至10任一所述的电子设备，其特征在于，所述第二生物测定传感器包括指纹传感器、语音传感器和虹膜传感器中 的任一种，且所述第二生物测定数据包括指纹数据、语音数据和虹膜数据中的任一种。
  12. 一种电子设备，包括：
    第一生物测定传感器，被配置为检测第一生物测定数据；
    存储器，被配置为存储至少一个已注册用户的生物测定模板；
    处理器，被配置为：从第一生物测定传感器获取第一生物测定数据；确定所述第一生物测定数据是否匹配已注册用户的生物测定模板；若确定所述第一生物测定数据与所述已注册用户的生物测定模板匹配，向存储器中的与所述已注册用户相关联的用户简档中写入所述第一生物测定数据。
  13. 如权利要求12所述的电子设备，其特征在于，所述处理器被进一步配置为：
    若确定所述第一生物测定数据与所述已注册用户的生物测定模板不匹配，创建一个新的用户账户和与所述新的用户账户相关联的用户简档；
    将所述第一生物测定数据存储在与所述新的用户账户相关联的用户简档中。
  14. 如权利要求12或13所述的电子设备，其特征在于，所述第一生物测定数据包括心电图(ECG)数据、光电血管容积图(PPG)数据和生物电阻抗数据中的任一种。
  15. 一种生物测定数据存储***，其特征在于，包括：
    第一生物测定传感器，被配置为检测第一生物测定数据；
    第二生物测定传感器，被配置为检测第二生物测定数据；
    存储器，被配置为存储至少一个已注册用户的生物测定模板；
    处理器，被配置为：从第一生物测定传感器获取第一生物测定数据；从第二生物测定传感器获取第二生物测定数据；确定所述第二生物测定数据是否匹配已注册用户的生物测定模板；若确定所述第二生物测定数据与所述已注册用户的生物测定模板匹配，向存储器中的与所述已注册用户相关联的用户简档中写入所述第一生物测定数据。
  16. 如权利要求15所述的***，其特征在于，所述处理器被进一步配置为：
    若确定所述第二生物测定数据与所述已注册用户的生物测定模板不匹配，创建一个新的用户账户和与所述新的用户账户相关联的用户简档；
    向存储器中的与所述新的用户账户相关联的用户简档中写入所述第一生物测定数据。
  17. 如权利要求15或16所述的***，其特征在于，所述第一生物测定传感器与所述处理器通过无线接口耦合。
  18. 如权利要求15或16所述的***，其特征在于，所述第一生物测定传感器与所述处理器通过有线接口耦合。
  19. 如权利要求15至18任一所述的***，其特征在于，所述第一生物测定传感器与所述处理器设置于同一设备中，或分别设置于不同的设备中。
  20. 如权利要求15至19任一所述的***，其特征在于，所述第二生物测定传感器与所述处理器设置于同一设备中，或分别设置于不同的设备中。
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