CN113425280B - Identification method, measurement device and storage medium for abnormal measurement of impedance of human body - Google Patents
Identification method, measurement device and storage medium for abnormal measurement of impedance of human body Download PDFInfo
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- 230000005284 excitation Effects 0.000 claims abstract description 64
- 238000010219 correlation analysis Methods 0.000 claims abstract description 22
- 210000000577 adipose tissue Anatomy 0.000 claims description 5
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
- A61B5/0537—Measuring body composition by impedance, e.g. tissue hydration or fat content
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4869—Determining body composition
- A61B5/4872—Body fat
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
Abstract
The embodiment of the invention discloses a method for identifying abnormal measurement of human body impedance, measurement equipment and a storage medium, and belongs to the technical field of human body impedance measurement. The method comprises the following steps: measuring the human body impedance value of a target object according to a plurality of excitation current signals with different frequencies to obtain a target impedance sequence; and carrying out correlation analysis on the target impedance sequence, and determining whether the target impedance sequence is an abnormal measurement result according to the result of the correlation analysis. According to the technical scheme, the probability that abnormal measurement cannot be identified due to different parasitics caused by the structure can be reduced, and the user experience of the product of the measuring equipment is improved.
Description
Technical Field
The present invention relates to the field of human impedance measurement technologies, and in particular, to a method for identifying abnormal measurement of human impedance, a measurement device, and a storage medium.
Background
In existing body impedance measurement applications, such as body fat scales or hand rings with body fat measurement functions, body impedance is measured by 4 electrodes to obtain body composition information. Generally, for convenience of use, it is necessary to make a judgment on abnormal measurement, such as whether the electrodes are suspended, whether the measurer wears shoes for measurement, and whether the measurer is in complete contact with 4 electrodes.
In the prior art, a proper resistor is connected in series between a current excitation end and a voltage measurement end on a circuit to set a normal human body impedance range, and then the measured impedance is compared with the range so as to judge whether the measurement is abnormal. For example, the impedance ranges from 200 to 1200 ohms, and when the measured impedance exceeds this range, it is considered an anomalous measurement. Abnormal measurements include insufficient contact (e.g., shoes or gloves) or incomplete contact (e.g., only 3 or fewer electrodes) of the measurer with the electrodes, or a standby state in which all electrodes are suspended. However, since the measured impedance is affected by parasitic effects between the electrodes, different structures are required to adjust the crossover resistance to meet the normal resistance determination range, or to find an appropriate resistance to distinguish the abnormal state. Therefore, it is proposed in the prior patent application to measure the impedance by a lower frequency measurement current and then determine whether or not it is an abnormal measurement based on the resistance value. The principle of the method is that the low-frequency measuring current is beneficial to reducing the parasitic influence of the electrode structure, but the parasitic influence and uncertainty caused by the parasitic along with the change of the structure cannot be thoroughly eliminated, and the condition of unrecognizable abnormal measurement still exists.
Disclosure of Invention
The embodiment of the invention mainly aims to provide a method for identifying abnormal measurement of human body impedance, a measuring device and a storage medium, and aims to solve the technical problem that the abnormal measurement of human body impedance cannot be accurately identified in the prior art.
In order to achieve the above object, an embodiment of the present invention provides a method for identifying abnormal measurement of impedance of a human body, the method including the steps of: measuring the human body impedance value of a target object according to a plurality of excitation current signals with different frequencies to obtain a target impedance sequence; and carrying out correlation analysis on the target impedance sequence, and determining whether the target impedance sequence is an abnormal measurement result according to the result of the correlation analysis.
Optionally, the step of measuring the impedance value of the human body of the target object according to the plurality of excitation current signals with different frequencies to obtain the target impedance sequence includes: and measuring the human body impedance value of the target object according to excitation current signals with any two or more than two frequencies of 5KHz, 10KHz, 25KHz, 50KHz, 250KHz, 100KHz and 500KHz to obtain a target impedance sequence.
Optionally, the step of performing correlation analysis on the target impedance sequence and determining whether the target impedance sequence is an abnormal measurement result according to a result of the correlation analysis includes: and calculating a correlation parameter between the target impedance sequence and a pre-stored impedance sequence, and determining whether the target impedance sequence is an abnormal measurement result according to the correlation parameter.
Optionally, the step of calculating a correlation parameter between the target impedance sequence and a pre-stored impedance sequence, and determining whether the target impedance sequence is an abnormal measurement according to the correlation parameter includes: calculating a correlation coefficient between the target impedance sequence and the pre-stored impedance sequence; if the correlation coefficient is within a preset coefficient range, judging that the target impedance sequence is a normal measurement result; and if the correlation coefficient is not in the preset coefficient range, judging that the target impedance sequence is an abnormal measurement result.
Optionally, the step of calculating a correlation parameter between the target impedance sequence and a pre-stored impedance sequence, and determining whether the target impedance sequence is an abnormal measurement according to the correlation parameter includes: calculating the Euclidean distance between the target impedance sequence and the pre-stored impedance sequence; if the Euclidean distance is within the preset distance range, judging that the target impedance sequence is a normal measurement result; and if the Euclidean distance is not in the preset distance range, judging that the target impedance sequence is an abnormal measurement result.
Optionally, the step of performing correlation analysis on the target impedance sequence and determining whether the target impedance sequence is an abnormal measurement result according to a result of the correlation analysis includes: calculating the difference value between every two adjacent impedance values in the target impedance sequence; and determining whether the target impedance sequence is an abnormal measurement result according to the relation between the human body impedance value and the corresponding excitation current frequency in the target impedance sequence and the difference value.
Optionally, before the step of calculating the difference between each adjacent two impedance values in the target impedance sequence, the method further comprises: and arranging the measured multiple human body impedance values according to the frequency sequence of the corresponding excitation current signals to obtain the target impedance sequence.
Optionally, the step of determining whether the target impedance sequence is an abnormal measurement result according to the relationship between the human body impedance value and the corresponding excitation current frequency in the target impedance sequence and the difference value includes: if the frequency of each human body impedance value in the target impedance sequence and the corresponding excitation current signal is in negative correlation and the difference value between every two adjacent impedance values is in a preset difference value range, judging that the target impedance sequence is a normal measurement result; and if the frequency of each human body impedance value and the corresponding excitation current signal in the target impedance sequence is not in negative correlation, or the difference value between every two adjacent impedance values is not in a preset difference value range, judging that the target impedance sequence is an abnormal measurement result.
Optionally, before the step of measuring the impedance value of the human body of the target object according to the plurality of excitation current signals with different frequencies to obtain the target impedance sequence, the method further includes: measuring the human body impedance value of a target object according to an excitation current signal with a preset frequency to obtain a target impedance value; if the target impedance value is within the preset normal human body impedance range, continuing to measure the human body impedance value of the target object according to the multiple excitation current signals with different frequencies to obtain a target impedance sequence; if the target impedance value is not in the preset normal human body impedance range, directly judging that the target impedance value is an abnormal measurement result, and not measuring the human body impedance value of the target object according to the multiple excitation current signals with different frequencies to obtain a target impedance sequence.
In addition, to achieve the above object, an embodiment of the present invention further provides a measurement apparatus including: the device comprises a memory, a processor, a display unit, a plurality of body impedance measuring electrodes, a program stored on the memory and executable on the processor, and a data bus for realizing connection communication between the processor and the memory, wherein the program realizes the steps of the method when being executed by the processor.
Optionally, the measurement device is any one of a body fat scale, a bracelet and a smart watch.
In addition, to achieve the above object, an embodiment of the present invention further provides a storage medium for computer readable storage, where the storage medium stores one or more programs, and the one or more programs are executable by one or more processors to implement the steps of the above method.
In the identification process of the abnormal measurement of the human body impedance, the human body impedance value of a target object is measured according to a plurality of excitation current signals with different frequencies to obtain a target impedance sequence. And performing correlation analysis on the target impedance sequence, and determining whether the target impedance sequence is an abnormal measurement result according to the correlation analysis result. Therefore, the correlation analysis is carried out on the target impedance sequences measured under the multiple excitation current signals with different frequencies so as to identify the abnormal measurement results, compared with the prior art, the method for measuring the human body impedance by only using one excitation current signal with lower frequency and then judging whether the measurement is abnormal according to the resistance value, the probability that the abnormal measurement cannot be identified due to different parasitics caused by the structure can be reduced, and the user experience of the measurement equipment product is improved.
Drawings
Fig. 1 is a flowchart of a method for identifying abnormal measurement of impedance of a human body according to an embodiment of the present invention.
Fig. 2 is a specific flowchart of an embodiment of step S120 of the method for identifying abnormal measurement of impedance of a human body shown in fig. 1.
Fig. 3 is a specific flowchart of another embodiment of the identifying method of the abnormal impedance measurement of the human body shown in fig. 1 in step S120.
Fig. 4 is a specific flowchart of another embodiment of the identifying method of the abnormal measurement of the impedance of the human body in step S120 shown in fig. 1.
Fig. 5 is a flowchart of a method for identifying abnormal measurement of impedance of a human body according to another embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In the following description, suffixes such as "module", "component", or "unit" for representing elements are used only for facilitating the description of the present invention, and have no specific meaning per se. Thus, "module," "component," or "unit" may be used in combination.
It is proposed in the prior patent application to measure the impedance by measuring the current at a lower frequency and then to determine whether it is an abnormal measurement based on the value of the impedance. The principle of the method is that the low-frequency measuring current is beneficial to reducing the parasitic influence of the electrode structure, but the parasitic influence and uncertainty caused by the parasitic along with the change of the structure cannot be thoroughly eliminated, and the condition of unrecognizable abnormal measurement still exists. Therefore, the embodiment provides another method and device for identifying abnormal measurement of impedance of a human body, which are used for carrying out correlation analysis on a target impedance sequence measured under a plurality of excitation current signals with different frequencies so as to identify an abnormal measurement result, thereby reducing the probability of unrecognizable abnormal measurement caused by different parasitics due to a structure and improving the user experience of a product of the measuring device.
Wherein the measuring device may be implemented in various forms. For example, the measurement devices described in the present invention may include portable measurement devices such as electronic scales, smart bracelets, smart watches, cell phones, tablet computers, notebook computers, palm computers, personal digital assistants (Persona l D i gita l Ass i stant, PDA), portable media players (Portab l e Med i a P l ayer, PMP), navigation devices, pedometers, and stationary measurement devices such as body composition analyzers, digital TVs, desktop computers, and the like.
In one embodiment, as shown in fig. 1, the present embodiment proposes a method for identifying abnormal measurement of impedance of a human body, the method comprising the steps of:
step S110: and measuring the human body impedance value of the target object according to a plurality of excitation current signals with different frequencies to obtain a target impedance sequence.
Specifically, when measuring the impedance value of the human body, an excitation current signal with a specific frequency needs to be applied to the human body, the voltage drop generated after the excitation current signal passes through the human body is measured, and the measured voltage drop is converted to obtain the impedance value of the human body. Wherein when the frequencies of the excitation current signals applied to the same target object are different, the finally obtained human body impedance values are also different.
Alternatively, in this embodiment, the impedance value of the human body of the target object may be measured based on excitation current signals of any two or more frequencies of 5KHz, 10KHz, 25KHz, 50KHz, 250KHz, 100KHz, and 500KHz, to obtain the target impedance sequence. The target impedance sequence includes a plurality of impedance values, each impedance value corresponding to a particular frequency.
Step S120: and carrying out correlation analysis on the target impedance sequence, and determining whether the target impedance sequence is an abnormal measurement result according to the result of the correlation analysis.
Specifically, the correlation analysis of the target impedance sequence may be performed by analyzing the correlation between the target impedance sequence and a pre-stored impedance sequence serving as a reference, for example, a pre-stored impedance sequence is set first, and then, whether the target impedance sequence is an abnormal measurement result is determined by calculating a correlation parameter between the target impedance sequence and the pre-stored impedance sequence. Alternatively, the correlation analysis may analyze the correlation between the impedance values in the target impedance sequence. For example, the difference between every two adjacent impedance values in the target impedance sequence may be calculated to determine whether the target impedance sequence is an abnormal measurement based on the relationship and difference between the human body impedance values in the target impedance sequence and the corresponding excitation current frequencies.
Alternatively, the parameter for measuring the correlation may be a correlation coefficient or a euclidean distance. The correlation coefficient is a statistical index for reflecting the degree of closeness of the correlation between the variables, and can be calculated according to a product difference method, and the degree of correlation between the two variables is reflected by multiplying the two differences on the basis of the differences between the two variables and the respective average values. Euclidean distance is a commonly used distance definition that refers to the true distance between two points in space, or the natural length of a vector, and Euclidean distance in two-dimensional and three-dimensional space is the actual distance between two points.
Therefore, the correlation analysis is carried out on the target impedance sequences measured under the multiple excitation current signals with different frequencies so as to identify the abnormal measurement results, compared with the prior art, the method for measuring the human body impedance by only using one excitation current signal with lower frequency and then judging whether the measurement is abnormal according to the resistance value, the probability that the abnormal measurement cannot be identified due to different parasitics caused by the structure can be reduced, and the user experience of the measurement equipment product is improved.
In one embodiment, as shown in fig. 2, the specific process of performing the steps of calculating a correlation parameter between a target impedance sequence and a pre-stored impedance sequence, and determining whether the target impedance sequence is an abnormal measurement result according to the correlation parameter includes:
step S11: and calculating a correlation coefficient between the target impedance sequence and the pre-stored impedance sequence.
Step S12: if the correlation coefficient is within the preset coefficient range, judging the target impedance sequence as a normal measurement result.
Step S13: if the correlation coefficient is not in the preset coefficient range, judging the target impedance sequence as an abnormal measurement result.
Since the pre-stored impedance sequence may be a pre-stored normal measured impedance sequence, an abnormal measured impedance sequence may also be pre-stored. Thus, when the pre-stored impedance sequence is a pre-stored normal measured impedance sequence, the process of performing the above steps may specifically be: the correlation coefficient between the target impedance sequence and the pre-stored normal measured impedance sequence is calculated first to obtain a first correlation coefficient. And judging whether the target impedance sequence is a normal measurement result according to whether the first correlation coefficient is in a preset coefficient range, namely judging that the target impedance sequence is a normal measurement result if the first correlation coefficient is equal to or larger than a first preset coefficient value, otherwise judging that the target impedance sequence is an abnormal measurement result. When the pre-stored impedance sequence is a pre-stored abnormal measured impedance sequence, the process of executing the steps may specifically be: and calculating a correlation coefficient between the target impedance sequence and a pre-stored abnormal measured impedance sequence to obtain a second phase relation number. And judging whether the target impedance sequence is a normal measurement result according to whether the second phase relation number is in a preset coefficient range, namely judging the target impedance sequence is a normal measurement result if the second phase relation number is smaller than a second preset coefficient value, and judging the target impedance sequence is an abnormal measurement result if the second phase relation number is not smaller than the second preset coefficient value.
The pre-stored normal measurement impedance sequence refers to an impedance sequence obtained by respectively performing human body impedance measurement on a target object or other samples based on the excitation current signals with different frequencies under the normal measurement condition. The pre-stored abnormal measurement impedance sequence refers to an impedance sequence obtained by respectively performing human body impedance measurement on a target object or other samples based on the plurality of excitation current signals of the different frequencies under the abnormal measurement condition. Such abnormal measurement conditions include a standby state in which the contact between the measurer and the electrode is insufficient (e.g., the measurer stands at the electrode or wears a glove to contact the electrode), or incomplete (e.g., only a part of the electrode is in contact with the human body, and the other part of the electrode is not in contact with the human body), or all the electrodes are suspended (not in contact with the human body).
The target impedance sequence and the pre-stored impedance sequence each comprise a plurality of impedance values, and in order to ensure the accuracy of correlation analysis, the impedance values in the two sequences are consistent according to the sequence of frequency arrangement. For example, the plurality of impedance values in the target impedance sequence and the plurality of impedance values in the pre-stored impedance sequence are each arranged in order of the frequency of the corresponding excitation current signal from high to low, or the plurality of impedance values in the target impedance sequence and the plurality of impedance values in the pre-stored impedance sequence are each arranged in order of the frequency of the corresponding excitation current signal from low to high. For another example, a first one of the target impedance sequence and a first one of the pre-stored impedance sequence are each measured at an excitation current signal at a first frequency, a second one of the target impedance sequence and the pre-stored impedance sequence are each measured at an excitation current signal at a second frequency, and so on, any one of the target impedance sequence and a corresponding order of the pre-stored impedance sequence are each measured at an excitation current signal at the same frequency.
In this way, the correlation coefficient between the target impedance sequence and the pre-stored impedance sequence is calculated, so that the correlation degree between the target impedance sequence and the pre-stored impedance sequence is reflected through the correlation coefficient, and the abnormal measurement result is judged when the correlation degree between the target impedance sequence and the pre-stored normal measurement impedance sequence is low or when the correlation degree between the target impedance sequence and the pre-stored abnormal measurement impedance sequence is high, so that more accurate abnormal measurement result identification can be realized.
In one embodiment, as shown in fig. 3, the specific process of performing the steps of calculating a correlation parameter between a target impedance sequence and a pre-stored impedance sequence, and determining whether the target impedance sequence is an abnormal measurement result according to the correlation parameter includes:
step S21: calculating the Euclidean distance between the target impedance sequence and the pre-stored impedance sequence;
step S22: if the Euclidean distance is within the preset distance range, the target impedance sequence is judged to be a normal measurement result.
Step S23: if the Euclidean distance is not in the preset distance range, judging the target impedance sequence as an abnormal measurement result.
Since the pre-stored impedance sequence may be a pre-stored normal measured impedance sequence, an abnormal measured impedance sequence may also be pre-stored. Thus, when the pre-stored impedance sequence is a pre-stored normal measured impedance sequence, the process of performing the above steps may specifically be: the Euclidean distance between the target impedance sequence and the pre-stored normal measured impedance sequence is calculated to obtain a first Euclidean distance. And judging whether the target impedance sequence is a normal measurement result according to whether the first Euclidean distance is in a preset distance range, namely judging the target impedance sequence is a normal measurement result if the first Euclidean distance is equal to or smaller than a first preset distance value, otherwise judging the target impedance sequence is an abnormal measurement result. When the pre-stored impedance sequence is a pre-stored abnormal measured impedance sequence, the process of executing the steps may specifically be: firstly, the Euclidean distance between the target impedance sequence and the pre-stored abnormal measured impedance sequence is calculated, so that a second Euclidean distance is obtained. And judging whether the target impedance sequence is a normal measurement result according to whether the second Euclidean distance is in a preset distance range, namely judging the target impedance sequence is a normal measurement result if the second Euclidean distance is larger than a second preset distance value, and judging the target impedance sequence is an abnormal measurement result if the second Euclidean distance is not larger than the second preset distance value.
In this way, the Euclidean distance between the target impedance sequence and the pre-stored impedance sequence is calculated, so that the correlation degree between the target impedance sequence and the pre-stored impedance sequence is reflected through the Euclidean distance, and the target impedance sequence and the pre-stored impedance sequence are judged to be the abnormal measurement result when the correlation degree between the target impedance sequence and the pre-stored normal measurement impedance sequence is low or when the correlation degree between the target impedance sequence and the pre-stored abnormal measurement impedance sequence is high, and therefore more accurate abnormal measurement result identification can be achieved.
For the case of "directly calculating the difference between every two adjacent impedance values in the target impedance sequence to determine whether the target impedance sequence is an abnormal measurement result according to the relationship between the human body impedance value in the target impedance sequence and the corresponding excitation current frequency and the difference", as shown in fig. 4, in one embodiment, the specific implementation procedure of step S120 includes:
step S31: and arranging the measured multiple human body impedance values according to the frequency sequence of the corresponding excitation current signals to obtain a target impedance sequence.
Step S32: the difference between every two adjacent impedance values in the target impedance sequence is calculated.
Step S33: and determining whether the target impedance sequence is an abnormal measurement result according to the relation and the difference between the human body impedance value in the target impedance sequence and the corresponding excitation current frequency.
Alternatively, the order of the frequencies of the corresponding excitation current signals mentioned in the above method steps may be the order of the frequencies of the corresponding excitation current signals from high to low, or may be the order of the frequencies of the corresponding excitation current signals from low to high. When a plurality of measured human body impedance values are arranged according to the frequency order of corresponding excitation current signals, after a target impedance sequence is obtained, the difference value between every two adjacent impedance values in the target impedance sequence is calculated, and then whether the target impedance sequence is an abnormal measurement result is determined according to the relation and the difference value between the human body impedance value in the target impedance sequence and the corresponding excitation current frequency, specifically: if the frequency of each human body impedance value in the target impedance sequence and the corresponding excitation current signal is in negative correlation (namely, the lower the frequency is, the larger the impedance value is), and the difference value between every two adjacent impedance values is in a preset difference value range, judging that the target impedance sequence is a normal measurement result; if the frequency of each human body impedance value in the target impedance sequence and the corresponding excitation current signal is not in negative correlation, or the difference value between at least part of two adjacent impedance values is not in a preset difference value range, judging that the target impedance sequence is an abnormal measurement result. When the frequency of the corresponding exciting current signal is from high to low, arranging the measured multiple human body impedance values to obtain a target impedance sequence, if the human body impedance values in the target impedance sequence are from low to high and the difference value between every two adjacent impedance values is within a preset difference value range (preferably 10-100 ohms), judging that the target impedance sequence is a normal measurement result, and if the human body impedance values in the target impedance sequence are not from low to high or the difference value between part or all of the adjacent two impedance values is not within the preset difference value range (preferably 10-100 ohms), judging that the target impedance sequence is an abnormal measurement result. When the measured multiple human body impedance values are arranged according to the sequence from low to high of the frequency of the corresponding excitation current signal, a target impedance sequence is obtained, if the human body impedance values in the target impedance sequence are in the sequence from high to low, and the difference value between every two adjacent impedance values is within a preset difference value range (preferably 10-100 ohms), the target impedance sequence is judged to be a normal measurement result, and if the human body impedance values in the target impedance sequence are not in the sequence from high to low, or the difference value between every two adjacent impedance values is not within the preset difference value range (preferably 10-100 ohms), the target impedance sequence is judged to be an abnormal measurement result.
In one embodiment, as shown in fig. 5, before performing the step of measuring the impedance value of the human body of the target object according to the plurality of excitation current signals with different frequencies to obtain the target impedance sequence, the method for identifying abnormal measurement of the impedance of the human body according to the embodiment of the present invention further includes:
step S210: and measuring the human body impedance value of the target object according to the excitation current signal with the preset frequency to obtain a target impedance value.
Step S220: judging whether the target impedance value is within a preset normal human body impedance range, if so, executing the step S110 in any embodiment; if the determination result is no, step S230 is performed.
Step S230: and judging the target impedance value as an abnormal measurement result.
The excitation current signal with the preset frequency mentioned in the method step is preferably an excitation current signal with 50KHz, that is, the human body impedance value of the target object under the excitation current signal with the frequency of 50KHz is preferentially measured, so as to obtain a target impedance value. And comparing the measured target impedance value with a preset normal human body impedance range. For example, under an excitation current signal with a frequency of 50KHz, the normal human body impedance range is 200-1200 ohms, and then the present embodiment may acquire the target impedance value of the target object under the excitation current signal with a frequency of 50KHz, and determine whether the target impedance value is within the range of 200-1200 ohms. If the impedance of the secondary human body exceeds the preset range, the abnormal measurement is determined, the flow of the method for identifying the abnormal measurement is ended, the step S120 is not executed, and otherwise, the flow of the method for identifying the abnormal measurement is started.
In this way, the present embodiment performs the preliminary screening of the abnormal measurement result by setting a predetermined condition (i.e., the target impedance value obtained by measuring the human body impedance value of the target object according to the excitation current signal with the predetermined frequency), so as to greatly improve the recognition efficiency of the whole recognition process without affecting the overall recognition accuracy.
In one embodiment, the present embodiment provides a measurement apparatus comprising: the processing device comprises a memory, a processor, a program stored on the memory and capable of running on the processor, and a data bus for realizing connection communication between the processor and the memory, wherein the program realizes the steps of the processing method when being executed by the processor. The measuring equipment can be any one of a body fat scale, a bracelet and an intelligent watch.
In one embodiment, the present embodiment provides a storage medium for computer readable storage, where the storage medium stores one or more programs, and the one or more programs are executable by one or more processors to implement the steps of the above-described processing method.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a measuring device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the identification method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (8)
1. A method for identifying abnormal measurements of impedance of a human body, the method comprising the steps of:
measuring the human body impedance value of a target object according to a plurality of excitation current signals with different frequencies to obtain a target impedance sequence;
performing correlation analysis on the target impedance sequence, and determining whether the target impedance sequence is an abnormal measurement result according to the result of the correlation analysis;
the step of performing correlation analysis on the target impedance sequence and determining whether the target impedance sequence is an abnormal measurement result according to the result of the correlation analysis includes:
calculating the difference value between every two adjacent impedance values in the target impedance sequence;
and determining whether the target impedance sequence is an abnormal measurement result according to the relation between the human body impedance value and the corresponding excitation current frequency in the target impedance sequence and the difference value.
2. The method of claim 1, wherein the step of measuring the body impedance value of the target object from the plurality of excitation current signals of different frequencies to obtain the target impedance sequence comprises:
and measuring the human body impedance value of the target object according to excitation current signals with any two or more than two frequencies of 5KHz, 10KHz, 25KHz, 50KHz, 250KHz, 100KHz and 500KHz to obtain a target impedance sequence.
3. The method of claim 1, wherein prior to the step of calculating the difference between each adjacent two impedance values in the target impedance sequence, the method further comprises:
and arranging the measured multiple human body impedance values according to the frequency sequence of the corresponding excitation current signals to obtain the target impedance sequence.
4. A method according to claim 3, wherein the step of determining whether the target impedance sequence is an abnormal measurement based on the relationship between the human impedance value and the corresponding excitation current frequency in the target impedance sequence and the difference value comprises:
if the frequency of each human body impedance value in the target impedance sequence and the corresponding excitation current signal is in negative correlation and the difference value between every two adjacent impedance values is in a preset difference value range, judging that the target impedance sequence is a normal measurement result;
and if the frequency of each human body impedance value and the corresponding excitation current signal in the target impedance sequence is not in negative correlation, or the difference value between every two adjacent impedance values is not in a preset difference value range, judging that the target impedance sequence is an abnormal measurement result.
5. The method according to any one of claims 1-4, wherein before the step of measuring the body impedance value of the target object from the plurality of excitation current signals of different frequencies to obtain the target impedance sequence, the method further comprises:
measuring the human body impedance value of a target object according to an excitation current signal with a preset frequency to obtain a target impedance value;
if the target impedance value is within the preset normal human body impedance range, continuing to measure the human body impedance value of the target object according to the multiple excitation current signals with different frequencies to obtain a target impedance sequence;
if the target impedance value is not in the preset normal human body impedance range, directly judging that the target impedance value is an abnormal measurement result, and not measuring the human body impedance value of the target object according to the multiple excitation current signals with different frequencies to obtain a target impedance sequence.
6. A measurement device, comprising: a memory, a processor, a display unit, a number of body impedance measuring electrodes, a program stored on the memory and executable on the processor, and a data bus for enabling a connection communication between the processor and the memory, which program, when being executed by the processor, carries out the steps of the method according to any of claims 1-5.
7. The measurement device of claim 6, wherein the measurement device is any one of a body fat scale and a wristband.
8. A storage medium for computer readable storage, wherein the storage medium stores one or more programs executable by one or more processors to implement the steps of the method of any of claims 1-5.
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| KR20190048298A (en) * | 2017-10-31 | 2019-05-09 | 한국 한의학 연구원 | Apparatus and method of obtaining the health information using multi-frequency bio-impedance measurement |
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| JP5542050B2 (en) * | 2007-08-09 | 2014-07-09 | インぺディメッド リミテッド | Impedance measurement method and apparatus |
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| CN101579236A (en) * | 2009-06-05 | 2009-11-18 | 大连大学 | Multi-frequency and multi-segment measuring device and measuring method of human body impedance |
| KR20190048298A (en) * | 2017-10-31 | 2019-05-09 | 한국 한의학 연구원 | Apparatus and method of obtaining the health information using multi-frequency bio-impedance measurement |
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