Human body impedance abnormality measurement posture recognition method, electronic device, and storage medium
By measuring excitation current signals of different frequencies in wearable devices, abnormal human impedance postures can be identified, solving the problem of measurement inaccuracy caused by abnormal hand postures and achieving higher measurement accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHENGDU CHIPSEA INNOVATION TECH CO LTD
- Filing Date
- 2022-11-23
- Publication Date
- 2026-04-28
AI Technical Summary
When existing wearable devices measure human body impedance, abnormal hand posture (such as touching a metal part or contact between both hands) can cause changes in the measurement circuit, affecting the measurement accuracy.
Multiple target impedance values are obtained by measuring excitation current signals at different frequencies. Based on these values, it is determined whether the measurement posture is abnormal, including comparing the impedance difference and ratio at different frequencies, identifying abnormal postures and outputting reminder information.
It improves the accuracy of human body impedance measurement, can identify and correct abnormal postures, and ensures the reliability of measurement results.
Smart Images
Figure CN115778356B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of human body impedance measurement technology, specifically to a method for identifying abnormal human body impedance measurement postures, an electronic device, and a storage medium. Background Technology
[0002] In existing applications of human body impedance measurement, such as electronic devices with bioimpedance detection functions, especially wearable devices such as watches or bracelets, most use bioelectrical impedance analysis (BIA) for bioimpedance detection. This detection method is convenient and provides accurate measurement results. This type of electronic device generally includes two sets of electrode pairs corresponding to the two hands of the human body. Each electrode pair includes two electrodes, one of which is used to transmit a current signal to the hand, and the other electrode is used to receive the voltage signal generated by the current signal passing through the human body. The corresponding human body impedance is calculated based on the current signal emitted by the electrode pair located on the hand and the collected voltage signal.
[0003] In existing wearable devices, one set of electrodes is typically placed on the first surface of the device that contacts the user's hand, while another set of electrodes is placed on the second surface of the device, away from the first surface. During measurement, the other hand is placed on the wearable device to contact the electrode pair on the second surface to measure human body impedance. However, if the measurement posture is abnormal when the other hand is on the wearable device—for example, if the other hand touches a metal part of the device or touches the hand wearing the device—it can cause changes in the measurement circuitry, which is detrimental to improving measurement accuracy.
[0004] Therefore, how to identify abnormal postures in human body impedance measurement is a technical problem that urgently needs to be solved in this field. Summary of the Invention
[0005] In view of the above problems, embodiments of this application provide a method, electronic device and storage medium for identifying abnormal human body impedance measurement postures to solve the above technical problems.
[0006] In a first aspect, embodiments of this application provide a method for identifying abnormal human impedance measurement postures, including:
[0007] Multiple target impedance values are obtained by measuring the human body impedance of the target object using multiple excitation current signals of different frequencies.
[0008] The measurement posture of the target object is determined as an abnormal posture based on the multiple target impedance values.
[0009] Optionally, determining whether the measurement posture of the target object is an abnormal posture based on the plurality of target impedance values includes:
[0010] A first target impedance value and a second target impedance value are selected from the plurality of target impedance values, wherein the frequency of the excitation current signal corresponding to the first target impedance value is lower than the frequency of the excitation current signal corresponding to the second target impedance value;
[0011] If the first target impedance value is less than the second target impedance value, then the measurement posture of the target object is determined to be a first abnormal posture;
[0012] If the impedance difference between the first target impedance value and the second target impedance value meets the preset abnormal conditions, then the measurement posture of the target object is determined to be the second abnormal posture.
[0013] Optionally, after selecting the first target impedance value and the second target impedance value from the plurality of target impedance values, the method further includes:
[0014] If the first target impedance value is equal to the second target impedance value, then the measurement posture of the target object is determined to be the first abnormal posture.
[0015] Optionally, determining the measurement posture of the target object as a second abnormal posture if the impedance difference between the first target impedance value and the second target impedance value meets a preset abnormal condition includes:
[0016] If the ratio of the impedance difference between the first target impedance value and the second target impedance value is greater than a preset ratio threshold, then the measurement posture of the target object is determined to be a second abnormal posture, wherein the impedance difference ratio is the ratio of the impedance difference to the second target impedance value, and the impedance difference is the difference between the first target impedance value and the second target impedance value.
[0017] Optionally, determining the measurement posture of the target object as a second abnormal posture if the impedance difference between the first target impedance value and the second target impedance value meets a preset abnormal condition includes:
[0018] If the impedance difference between the first target impedance value and the second target impedance value is greater than a preset difference threshold, then the measurement posture of the target object is determined to be a second abnormal posture.
[0019] Optionally, the frequency of the excitation current signal corresponding to the second target impedance value is greater than or equal to five times the frequency of the excitation current signal corresponding to the first target impedance value, and less than or equal to ten times the frequency of the excitation current signal corresponding to the first target impedance value.
[0020] Optionally, after determining whether the measurement posture of the target object is an abnormal posture based on the plurality of target impedance values, the method further includes:
[0021] If the measurement posture of the target object is determined to be an abnormal posture, a measurement abnormality reminder message is output based on the abnormal posture, wherein the measurement abnormality reminder message is used to indicate that the measurement posture is incorrect.
[0022] Optionally, the method further includes:
[0023] Determine whether the multiple target impedance values are normal measurement results based on the multiple target impedance values.
[0024] Optionally, determining whether the plurality of target impedance values are normal measurement results based on the plurality of target impedance values includes:
[0025] If the first target impedance value is greater than the second target impedance value, and the ratio of the impedance difference between the first target impedance value and the second target impedance value is less than or equal to a preset ratio threshold, then the plurality of target impedance values are determined to be normal measurement results.
[0026] Optionally, determining whether the plurality of target impedance values are normal measurement results based on the plurality of target impedance values includes:
[0027] If the first target impedance value is greater than the second target impedance value, and the impedance difference between the first target impedance value and the second target impedance value is less than or equal to a preset difference threshold, then the plurality of target impedance values are determined to be normal measurement results.
[0028] Optionally, after determining whether the plurality of target impedance values are normal measurement results based on the plurality of target impedance values, the method further includes:
[0029] If the multiple target impedance values are determined to be normal measurement results, then the human body impedance measurement results are output based on the multiple target impedance values.
[0030] Optionally, the frequencies of the plurality of excitation current signals include at least two of 5KHz, 10KHz, 25KHz, 50KHz, 100KHz, 250KHz, and 500KHz.
[0031] Secondly, embodiments of this application also provide an electronic device, including a processor and a memory coupled to the processor, the memory storing program instructions executable by the processor; when the processor executes the program instructions stored in the memory, it implements the above-described method for identifying abnormal human body impedance measurement postures.
[0032] Thirdly, embodiments of this application also provide a storage medium for computer-readable storage, wherein the storage medium stores program instructions, which, when executed by a processor, implement the above-described method for identifying abnormal human body impedance measurement postures.
[0033] The human body impedance measurement abnormality measurement posture identification method, electronic device and storage medium provided in this application embodiment measure the human body impedance value of the target object according to multiple excitation current signals of different frequencies, and obtain multiple target impedance values formed by the excitation current signals of different frequencies; determine whether the measurement posture of the target object is an abnormal posture according to the multiple target impedance values; by identifying abnormal postures, the problem of not being able to improve measurement accuracy can be solved, and the effect of improving measurement accuracy can be achieved.
[0034] These or other aspects of this application will become more apparent in the following description of the embodiments. Attached Figure Description
[0035] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0036] Figure 1 This illustration shows an application scenario diagram of the human body impedance abnormality measurement posture identification method provided in the embodiments of this application.
[0037] Figure 2 This illustration shows a schematic diagram of an application scenario for the human body impedance abnormality measurement posture identification method provided in this application embodiment.
[0038] Figure 3 A flowchart illustrating a method for identifying abnormal human body impedance measurement postures according to an embodiment of this application is shown.
[0039] Figure 4 This diagram illustrates the principle of normal measurement in a method for identifying abnormal human body impedance measurement postures according to an embodiment of this application.
[0040] Figure 5 The diagram illustrates the principle of the abnormal posture in the human body impedance abnormality measurement posture identification method provided in one embodiment of this application.
[0041] Figure 6 The diagram illustrates the principle of the abnormal posture in the human body impedance abnormality measurement posture identification method provided in one embodiment of this application.
[0042] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown.
[0043] Figure 8 A schematic diagram of the structure of a storage medium provided in an embodiment of this application is shown. Detailed Implementation
[0044] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.
[0045] To enable those skilled in the art to better understand the solutions of this application, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.
[0046] In the embodiments of this application, "at least one" refers to one or more; "multiple" refers to two or more. In the description of this application, the terms "first," "second," "third," etc., are used only for the purpose of distinguishing descriptions and should not be construed as indicating or implying relative importance, nor should they be construed as indicating or implying order.
[0047] References such as “one embodiment” or “some embodiments” as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the terms “comprising,” “including,” “having,” and variations thereof, as used in this specification, mean “including, but not limited to,” unless otherwise specifically emphasized.
[0048] It should be noted that in the embodiments of this application, "and / or" describes the relationship between associated objects, indicating that there can be three kinds of relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.
[0049] It should be noted that in the embodiments of this application, "connection" can be understood as electrical connection. The connection between two electrical components can be a direct or indirect connection between the two electrical components. For example, the connection between A and B can be a direct connection between A and B, or an indirect connection between A and B through one or more other electrical components.
[0050] The method for identifying abnormal human body impedance measurement postures provided in this application can be applied to, for example... Figure 1The wearable device 200 shown includes a first electrode unit 201, a second electrode unit 202, an excitation source circuit 203, and a voltage measurement circuit 204. The excitation source circuit 203 includes a first output terminal 2031 and a second output terminal 2032. The voltage measurement circuit 204 includes a first measurement terminal 2041 and a second measurement terminal 2042. The first electrode unit 201 includes a first electrode 2011 for connecting to the first output terminal 2031 and a second electrode 2012 for connecting to the first measurement terminal 2041. The second electrode unit 202 includes a third electrode 2021 for connecting to the second output terminal 2032 and a fourth electrode 2022 for connecting to the second measurement terminal 2042. When performing human body impedance measurement, the first electrode unit 201 is used to connect to a first side of the target object (e.g., the hand of the wearable electronic device), and the second electrode unit 202 is used to connect to a second side of the target object (e.g., the other hand). Please refer to [link to relevant documentation]. Figure 2 As shown, in an optional application scenario, taking a smartwatch as an example, the first electrode unit 201 is located on the back of the wearable device 200's case. When the wearable device 200 is worn by a user, the first electrode unit 201 connects to the wearer's hand. The second electrode unit 202 is located on the front of the wearable device 200's case, such as on the watch bezel. During measurement, the other hand... Figure 2 As shown, two fingers respectively contact the third electrode 2021 and the fourth electrode 2022 in the second electrode unit 202 to measure human body impedance. Optionally, the wearable device 200 can be a smart bracelet, smartwatch, TWS (True Wireless Stereo) earphones, etc.
[0051] One embodiment of this application provides a method for identifying abnormal postures in human body impedance measurement. Please refer to [link to relevant documentation]. Figure 3 As shown, the method for identifying abnormal human body impedance measurement postures includes the following steps:
[0052] S110 measures the human body impedance value of the target object based on multiple excitation current signals of different frequencies to obtain multiple target impedance values;
[0053] In human body impedance measurement, a specific frequency excitation current signal needs to be applied to the target object, and the voltage drop generated after the excitation current signal passes through the target object needs to be measured. The measured voltage drop is then processed to obtain the target impedance value at that frequency. Please refer to [link to relevant documentation]. Figure 4 As shown, Figure 4 This is a simplified schematic diagram of the human body impedance model during normal measurement. Impedances R1, R2, R3, and R4 represent the contact impedances formed between the corresponding electrodes and the target object, respectively, while impedance Rb represents the human body's bioimpedance. Figure 1 Taking the example shown, an excitation current signal with a characteristic frequency is output through the first output terminal 2031 and the second output terminal 2032 of the excitation source circuit 203. The signal is then sampled through the first measurement terminal 2041 and the second measurement terminal 2042 of the voltage measurement circuit 204 to obtain the voltage drop generated after the output excitation current signal passes through the target object, and then the human bioimpedance is measured.
[0054] When different frequencies of the excitation current signal are applied to the same target object, the resulting target impedance values will also differ. Generally, the higher the frequency of the applied excitation current signal, the lower the measured target impedance value. The multiple target impedance values formed by excitation current signals of different frequencies follow a certain variation pattern, which will be explained in detail in subsequent steps.
[0055] In one implementation, the number of excitation current signals of different frequencies can be two or more.
[0056] In some implementations, the frequencies of the multiple excitation current signals may include at least two of 5 kHz, 10 kHz, 25 kHz, 50 kHz, 100 kHz, 250 kHz, and 500 kHz.
[0057] In some implementations, step S110 specifically includes:
[0058] The human body impedance value of the target object is measured by excitation current signals of any two or more frequencies selected from 5KHz, 10KHz, 25KHz, 50KHz, 100KHz, 250KHz and 500KHz, and multiple target impedance values are obtained by the excitation current signals of different frequencies.
[0059] S120, determine whether the measurement posture of the target object is an abnormal posture based on the plurality of target impedance values;
[0060] Please refer to Figure 2 , Figure 4 and Figure 5 As shown, if the hand touching the two electrodes on the front of the wearable device 200 comes into contact with a metal part of the wearable device 200 (e.g., the metal frame of a smartwatch), an additional parasitic capacitance to ground C10 will be introduced. See details in [link to documentation]. Figure 5 As shown, at this point, the higher the frequency of the applied excitation current signal, the higher the equivalent resistance (target impedance value) of impedances R1, R2, R3, R4, parasitic capacitance C10, and Rb, which does not conform to the requirements. Figure 4 The diagram shows the trend that the higher the frequency of the applied excitation current signal, the lower the target impedance value.
[0061] Please refer to Figure 2 , Figure 4 and Figure 6 As shown, during measurement, if the target object is touched by both hands, an additional capacitance C0 will be generated across the impedance Rb, which is the true impedance value. See [reference needed] for details. Figure 6 As shown, at this time, the higher the frequency of the applied excitation current signal, the easier it is to pass through the target object. Compared with normal measurement, the reduction in target impedance value is greater, although it conforms to... Figure 4 The diagram shows that the higher the frequency of the applied excitation current signal, the lower the target impedance value. However, the difference between the target impedance value obtained from higher frequency excitation current signals and the target impedance value obtained from lower frequency excitation current signals does not conform to the normal measurement variation pattern.
[0062] The method for identifying abnormal postures in human body impedance measurement according to the embodiments of this application can solve the problem of hindering the improvement of measurement accuracy by identifying abnormal postures, and has the effect of improving measurement accuracy.
[0063] As one implementation method, step S120 specifically includes the following steps:
[0064] S210, select a first target impedance value and a second target impedance value from the plurality of target impedance values, wherein the frequency of the excitation current signal corresponding to the first target impedance value is lower than the frequency of the excitation current signal corresponding to the second target impedance value;
[0065] In this embodiment, any two can be selected from a plurality of target impedance values, namely the first target impedance value and the second target impedance value.
[0066] S220, if the first target impedance value is less than the second target impedance value, then the measurement posture of the target object is determined to be a first abnormal posture;
[0067] Please refer to Figure 5 As shown, if the hand touches the metal part of the wearable device 200 (e.g., the metal frame of a smartwatch), an additional parasitic capacitance C10 to ground will be introduced. This will cause the target impedance value to be higher as the frequency of the applied excitation current signal increases. When the first target impedance value corresponding to the low frequency is less than the second target impedance value corresponding to the high frequency, the measurement posture is determined to be the first abnormal posture, and the first abnormal posture is the abnormal posture of touching the metal frame.
[0068] S230, if the impedance difference between the first target impedance value and the second target impedance value meets the preset abnormal conditions, then the measurement posture of the target object is determined to be the second abnormal posture.
[0069] Please refer to Figure 6As shown, if the target object is touched by both hands, an additional capacitance C0 will be generated on the impedance Rb, which is the true impedance value. The higher the frequency of the applied excitation current signal, the easier it is to pass through the target object. Compared with normal measurement, the target impedance value decreases more. When the first target impedance value corresponding to the low frequency is much greater than the second target impedance value corresponding to the high frequency, the measurement posture is judged to be the second abnormal posture, and the second abnormal posture is the abnormal posture of touching both hands.
[0070] In one implementation, the following steps are included after step S210:
[0071] S240, if the first target impedance value is equal to the second target impedance value, then the measurement posture of the target object is determined to be a first abnormal posture;
[0072] Please continue reading for more details. Figure 5 As shown, if the hand touches the metal part of the wearable device 200 (e.g., the metal frame of a smartwatch), an additional parasitic capacitance C10 to ground will be introduced. This will cause the target impedance value to be higher when the frequency of the applied excitation current signal is higher. When the first target impedance value corresponding to the low frequency is less than the second target impedance value corresponding to the high frequency, the measurement posture is determined to be the first abnormal posture.
[0073] As one implementation method, step S230 specifically includes the following steps:
[0074] If the ratio of the impedance difference between the first target impedance value and the second target impedance value is greater than a preset ratio threshold, then the measurement posture of the target object is determined to be a second abnormal posture, wherein the impedance difference ratio is the ratio of the impedance difference to the second target impedance value, and the impedance difference is the difference between the first target impedance value and the second target impedance value.
[0075] In this embodiment, the abnormal contact of both hands is determined based on whether the impedance difference ratio is greater than a preset ratio threshold, making the abnormality judgment more accurate.
[0076] In another implementation, step S230 specifically includes the following steps:
[0077] If the impedance difference between the first target impedance value and the second target impedance value is greater than a preset difference threshold, then the measurement posture of the target object is determined to be a second abnormal posture.
[0078] In this embodiment, the abnormal contact of both hands is determined based on whether the impedance difference is greater than a preset difference threshold, making the abnormality detection faster.
[0079] In one implementation, the frequency of the excitation current signal corresponding to the second target impedance value is greater than or equal to five times the frequency of the excitation current signal corresponding to the first target impedance value, and less than or equal to ten times the frequency of the excitation current signal corresponding to the first target impedance value. In this embodiment, controlling the frequencies of the two applied excitation current signals within the above range is beneficial for improving the accuracy of abnormal posture recognition.
[0080] In one implementation, after step S120, the following steps are also included:
[0081] S310, if the measurement posture of the target object is determined to be an abnormal posture, then a measurement abnormality reminder message is output according to the abnormal posture, wherein the measurement abnormality reminder message is used to indicate that the measurement posture is incorrect;
[0082] The measurement anomaly alert information can include the type of abnormal posture. For example, the abnormal posture type is a first abnormal posture (e.g., touching a metal frame) or a second abnormal posture (e.g., touching with both hands). This measurement anomaly alert information is displayed on the wearable device's screen, allowing the target object to understand the cause of the measurement anomaly and adjust their measurement posture accordingly. In some embodiments, after outputting the measurement anomaly alert information, the current measurement can be exited directly.
[0083] In one implementation, after step S120, the following steps are also included:
[0084] S410, determine whether the multiple target impedance values are normal measurement results based on the multiple target impedance values;
[0085] After identifying abnormal poses, it is possible to further determine whether the current measurement result is a normal measurement result.
[0086] In one implementation, step S410 may specifically include the following steps:
[0087] If the first target impedance value is greater than the second target impedance value, and the ratio of the impedance difference between the first target impedance value and the second target impedance value is less than or equal to a preset ratio threshold, then the plurality of target impedance values are determined to be normal measurement results.
[0088] In this embodiment, the current measurement result is determined to be a normal measurement result based on the two target impedance values.
[0089] In another implementation, step S410 may specifically include the following steps:
[0090] If the first target impedance value is greater than the second target impedance value, and the impedance difference between the first target impedance value and the second target impedance value is less than or equal to a preset difference threshold, then the plurality of target impedance values are determined to be normal measurement results.
[0091] In this embodiment, the determination of whether the current measurement result is a normal measurement result is also based on the two target impedance values.
[0092] In another implementation, step S410 may specifically include the following steps:
[0093] S510, the target impedance values are arranged in order of increasing frequency of the applied excitation current signal to obtain a target impedance value sequence;
[0094] S520, calculate the difference between every two adjacent target impedance values in the target impedance value sequence;
[0095] S530, if the difference between any two adjacent target impedance values is greater than 0 and less than the preset difference threshold, then the current measurement result is a normal measurement result;
[0096] In this embodiment, the difference between any two adjacent target impedance values is obtained by subtracting the target impedance value with a relatively lower frequency from the target impedance value with a relatively higher frequency. Each difference is greater than 0, and the target impedance value is negatively correlated with the frequency of the applied excitation current signal.
[0097] In one implementation, after step S410, the following steps are also included:
[0098] If the multiple target impedance values are determined to be normal measurement results, then the human body impedance measurement results are output based on the multiple target impedance values.
[0099] In one implementation, the human body impedance measurement result can be any one of multiple target impedance values; in another implementation, the human body impedance measurement result can also be the target impedance value corresponding to an excitation current signal of a preset frequency.
[0100] Figure 7 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Figure 7 As shown, the electronic device 60 includes a processor 61 and a memory 62 coupled to the processor 61.
[0101] The memory 62 stores program instructions for implementing the human body impedance abnormality measurement posture identification method of any of the above embodiments.
[0102] The processor 61 is used to execute program instructions stored in the memory 62 to identify abnormal human impedance measurement postures.
[0103] The processor 61 can also be referred to as a CPU (Central Processing Unit). The processor 61 may be an integrated circuit chip with signal processing capabilities. The processor 61 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor can be a microprocessor or any conventional processor.
[0104] The electronic devices in this application embodiment may be, but are not limited to, weight scales, body fat scales, nutritional scales, infrared electronic thermometers, pulse oximeters, body composition analyzers, power banks, wireless chargers, fast chargers, car chargers, adapters, displays, USB (Universal Serial Bus) docking stations, styluses, true wireless earbuds, car infotainment screens, automobiles, smart wearable devices, mobile terminals, and smart home devices. Smart wearable devices include, but are not limited to, smartwatches, smart bracelets, and neck massagers. Mobile terminals include, but are not limited to, smartphones, laptops, tablets, and POS (point of sales terminal) machines. Smart home devices include, but are not limited to, smart sockets, smart rice cookers, smart robot vacuums, and smart lights. This electronic device, by recognizing abnormal postures, can solve the problem of hindering measurement accuracy and has the effect of improving measurement accuracy.
[0105] See Figure 8 , Figure 8 This is a schematic diagram of the structure of a storage medium according to an embodiment of this application. The storage medium 70 of this embodiment stores program instructions 71 capable of implementing all the above methods. These program instructions 71 can be stored in the storage medium in the form of a software product, including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, or terminal devices such as computers, servers, mobile phones, and tablets.
[0106] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.
[0107] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units described above can be implemented in hardware or as software functional units. The above are merely embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made based on the description and drawings of this application, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.
[0108] The above are merely preferred embodiments of this application and are not intended to limit this application in any way. Although this application has disclosed preferred embodiments as above, it is not intended to limit this application. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the technical solution of this application. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of this application without departing from the scope of the technical solution of this application shall still fall within the scope of the technical solution of this application.
Claims
1. A method for identifying abnormal postures in human body impedance measurement, characterized in that, include: Multiple target impedance values are obtained by measuring the human body impedance of the target object using multiple excitation current signals of different frequencies. Determine whether the measurement posture of the target object is abnormal based on the multiple target impedance values; The step of determining whether the measurement posture of the target object is abnormal based on the plurality of target impedance values includes: A first target impedance value and a second target impedance value are selected from the plurality of target impedance values. The measurement posture of the target object is determined to be an abnormal posture based on the first target impedance value and the second target impedance value. The frequency of the excitation current signal corresponding to the first target impedance value is lower than the frequency of the excitation current signal corresponding to the second target impedance value.
2. The method for identifying abnormal human body impedance measurement postures according to claim 1, characterized in that, The step of determining whether the measurement posture of the target object is an abnormal posture based on the plurality of target impedance values further includes: If the first target impedance value is less than the second target impedance value, then the measurement posture of the target object is determined to be a first abnormal posture; If the impedance difference between the first target impedance value and the second target impedance value meets the preset abnormal conditions, then the measurement posture of the target object is determined to be the second abnormal posture.
3. The method for identifying abnormal human body impedance measurement postures according to claim 2, characterized in that, After selecting the first target impedance value and the second target impedance value from the plurality of target impedance values, the method further includes: If the first target impedance value is equal to the second target impedance value, then the measurement posture of the target object is determined to be the first abnormal posture.
4. The method for identifying abnormal human body impedance measurement postures according to claim 2, characterized in that, If the impedance difference between the first target impedance value and the second target impedance value meets a preset abnormal condition, then the measurement posture of the target object is determined to be a second abnormal posture, including: If the ratio of the impedance difference between the first target impedance value and the second target impedance value is greater than a preset ratio threshold, then the measurement posture of the target object is determined to be a second abnormal posture, wherein the impedance difference ratio is the ratio of the impedance difference to the second target impedance value, and the impedance difference is the difference between the first target impedance value and the second target impedance value.
5. The method for identifying abnormal human body impedance measurement postures according to claim 2, characterized in that, If the impedance difference between the first target impedance value and the second target impedance value meets a preset abnormal condition, then the measurement posture of the target object is determined to be a second abnormal posture, including: If the impedance difference between the first target impedance value and the second target impedance value is greater than a preset difference threshold, then the measurement posture of the target object is determined to be a second abnormal posture.
6. The method for identifying abnormal human body impedance measurement postures according to claim 2, characterized in that, The frequency of the excitation current signal corresponding to the second target impedance value is greater than or equal to five times the frequency of the excitation current signal corresponding to the first target impedance value, and less than or equal to ten times the frequency of the excitation current signal corresponding to the first target impedance value.
7. The method for identifying abnormal human body impedance measurement postures according to claim 2, characterized in that, After determining whether the measurement posture of the target object is an abnormal posture based on the plurality of target impedance values, the method further includes: If the measurement posture of the target object is determined to be an abnormal posture, a measurement abnormality reminder message is output based on the abnormal posture, wherein the measurement abnormality reminder message is used to indicate that the measurement posture is incorrect.
8. The method for identifying abnormal human body impedance measurement postures according to claim 2, characterized in that, The method further includes: Determine whether the multiple target impedance values are normal measurement results based on the multiple target impedance values.
9. The method for identifying abnormal human body impedance measurement postures according to claim 8, characterized in that, The step of determining whether the plurality of target impedance values are normal measurement results based on the plurality of target impedance values includes: If the first target impedance value is greater than the second target impedance value, and the ratio of the impedance difference between the first target impedance value and the second target impedance value is less than or equal to a preset ratio threshold, then the plurality of target impedance values are determined to be normal measurement results. Here, the impedance difference ratio is the ratio of the impedance difference to the second target impedance value, and the impedance difference is the difference between the first target impedance value and the second target impedance value.
10. The method for identifying abnormal human body impedance measurement postures according to claim 8, characterized in that, The step of determining whether the plurality of target impedance values are normal measurement results based on the plurality of target impedance values includes: If the first target impedance value is greater than the second target impedance value, and the impedance difference between the first target impedance value and the second target impedance value is less than or equal to a preset difference threshold, then the plurality of target impedance values are determined to be normal measurement results.
11. The method for identifying abnormal human body impedance measurement postures according to claim 8, characterized in that, After determining whether the multiple target impedance values are normal measurement results based on the multiple target impedance values, the method further includes: If the multiple target impedance values are determined to be normal measurement results, then the human body impedance measurement results are output based on the multiple target impedance values.
12. The method for identifying abnormal human body impedance measurement postures according to claim 1, characterized in that, The frequencies of the plurality of excitation current signals include at least two of the following: 5KHz, 10KHz, 25KHz, 50KHz, 100KHz, 250KHz, and 500KHz.
13. An electronic device, characterized in that, The method includes a processor and a memory coupled to the processor, the memory storing program instructions executable by the processor; when the processor executes the program instructions stored in the memory, it implements the method for identifying abnormal human impedance measurement postures as described in any one of claims 1 to 12.
14. A storage medium for computer-readable storage, characterized in that, The storage medium stores program instructions, which, when executed by a processor, implement a method for identifying abnormal human impedance measurement postures as described in any one of claims 1 to 12.
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Patent Citations
Wearable gesture recognition device and associated operation method and system
CN112204501A