CN110833411A - Fatigue degree evaluation system based on electrical impedance - Google Patents
Fatigue degree evaluation system based on electrical impedance Download PDFInfo
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- CN110833411A CN110833411A CN201911112580.2A CN201911112580A CN110833411A CN 110833411 A CN110833411 A CN 110833411A CN 201911112580 A CN201911112580 A CN 201911112580A CN 110833411 A CN110833411 A CN 110833411A
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- electrical impedance
- fatigue
- muscle
- impedance
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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
Abstract
The invention relates to the technical field of test evaluation, in particular to an electrical impedance-based fatigue degree evaluation system, which comprises the following steps: step 1, placing electrodes on parts which feel fatigue to measure the electrical impedance of muscles; step 2, massaging and relaxing the fatigue part until the fatigue part feels good; step 3, carrying out muscle electrical impedance measurement again on the electrode placed at the part; and 4, analyzing the electrical impedance data measured twice, and evaluating the relation between the fatigue degree and the muscle electrical impedance.
Description
Technical Field
The invention relates to the technical field of test evaluation, in particular to a fatigue degree evaluation system based on electrical impedance.
Background
Biomedical electrical impedance is a non-invasive technique for measuring the resistivity of human tissue that targets the resistivity distribution inside the human body. The human body is a large bioelectricity conductor, each tissue and organ has a certain impedance, when a certain current or voltage is added to the surface of the human body, different voltages or currents can be measured on the body surface by different impedance distributions in the human body, so the muscle electrical impedance measurement technology actually measures the current caused on the body surface by injecting a known voltage into a specific part of the human body or measures the voltage caused on the body surface by injecting a known current, and the impedance distributions of each tissue and organ in the human body under the action of an electric field are calculated according to a certain reconstruction algorithm by using the measured current and voltage values.
Disclosure of Invention
The invention aims to provide an electrical impedance-based fatigue degree evaluation system, which is used for solving the problems that the muscle fatigue degree cannot be evaluated and the follow-up treatment is not facilitated in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an electrical impedance-based fatigue degree evaluation system comprises the following steps:
and 4, analyzing the electrical impedance data measured twice, and evaluating the relation between the fatigue degree and the electrical impedance of the muscle.
Preferably, the muscle electrical impedance measurement of step 1 comprises the following steps:
(1) assembling a muscle electrical impedance measuring circuit;
(2) and (4) calculating the electrical impedance value of the tested part.
Preferably, when the fatigue part is relaxed in the step 2, the sitting relaxation or the massage relaxation is selected.
Preferably, the muscle electrical impedance measurement operation is performed again on the fatigue part after the relaxation in the step 3, and the electrode placement position is the same as that of the first measurement.
Preferably, the electrical impedance data measured in step 4 is at least 2 times.
Compared with the prior art, the invention has the beneficial effects that:
the invention can accurately evaluate the muscle fatigue degree to perform targeted treatment, thereby improving the treatment accuracy.
Drawings
FIG. 1 is an assembled electrical muscle impedance measurement circuit of the present invention;
FIG. 2 is a line graph of electrical impedance of muscles measured in the fatigue state of the forearm in accordance with the present invention;
FIG. 3 is a line graph of electrical impedance of muscles measured in a relaxed state of the forearm in accordance with the present invention;
FIG. 4 is a line graph showing the difference between the electrical impedance of the muscle measured in the fatigue state of the forearm and the electrical impedance of the muscle measured in the relaxation state of the forearm in accordance with the present invention;
FIG. 5 is a line graph of electrical impedance of muscles measured in the state of calf fatigue in the present invention;
FIG. 6 is a line graph of electrical impedance of muscles measured during a relaxed state of the lower leg in accordance with the present invention;
FIG. 7 is a line graph of the difference between the electrical impedance of the muscles measured in the state of calf fatigue and the electrical impedance of the muscles measured in the state of calf relaxation.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Example 1:
an electrical impedance-based fatigue assessment system, as shown in fig. 1, comprises the following steps:
and 4, analyzing the electrical impedance data measured twice, and evaluating the relation between the fatigue degree and the electrical impedance of the muscle.
In this embodiment, the muscle electrical impedance measurement in step 1 includes the following steps:
(1) assembling a muscle electrical impedance measuring circuit;
(2) and (3) calculating the electrical impedance value of the tested part, calculating the impedance by using a singlechip AD5933, and outputting the impedance to a computer through Software AD5933Eval Software. The calculation process is as follows:
① the first step in the calculation of the impedance value at each frequency is to calculate the DFT amplitude at that point, by the formula:
where R is the real number stored in the AD5933 register address 0x94 and register address 0x95, and I is the imaginary number stored in the AD5933 register address 0x96 and register address 0x 97.
② gain factor calculation:
for example, the gain factor is calculated in consideration of the following assumption conditions
Output excitation voltage of 2Vp-p
Calibrating the impedance value ZCALIBRATION=200KΩ
PGA gain 1
Gain resistance of current-voltage amplifier is 200K omega
Calibration frequency of 30K Ω
After one frequency point conversion, the typical contents of the real and imaginary value registers will be:
real value register 0Xf 064-3996 (decimal)
Imaginary number register 0x227E +8830 (decimal)
③ calculation using gain factor and retrograde impedance
The following description is provided on how to measure an unknown impedance using the gain coefficient obtained by the above method, in this example, assuming that the unknown impedance is 510K Ω, after measuring the unknown impedance at a frequency of 30KHz, assuming that the real and imaginary value registers contain the following data:
real value register 0XFA 3F-1473 (decimal)
Virtual value register 0x0DB3 +3507 (decimal)
The measured impedance at this frequency point is calculated as follows:
further, when the fatigue part is relaxed in the step 2, the sitting and resting relaxation or the massage relaxation is selected, when the sitting and resting relaxation is carried out, no obvious ache is caused after about one quarter, and when the massage relaxation is carried out, the tightening phenomenon is regarded as that the muscle tissue feels good.
Specifically, the muscle electrical impedance measurement operation is performed on the relaxed fatigue part again in the step 3, and the electrode placement position is the same as the first measurement.
In addition, the electrical impedance data measured in the step 4 are at least 2 times, a plurality of experimental values are analyzed by using algorithms in machine learning, and finally, the measured values are predicted, so that the accuracy of evaluation is improved.
When the electrical impedance-based fatigue degree evaluation system is used, the steps are as follows
Firstly, after keeping the muscles of the upper arm tight for 5 minutes and feeling obvious ache, considering the muscles in the fatigue state;
secondly, two electrodes are secured at the fatigue position of the big arm of the tested person, the assembled circuit is used for measuring the electrical impedance, 100 groups of electrical impedance data are obtained within one minute, and as shown in figure 2, the average value R of the electrical impedance of the big arm in the fatigue state1=6061Ω;
Thirdly, relaxing the muscles of the large arms, sitting still, massaging for 10 minutes until the muscles of the large arms relax, and considering that the muscles of the large arms are in good state at the moment;
fourthly, measuring the muscular impedance of the same position of the discharge electrode in the second step again, as shown in FIG. 3, the average value R of the normal state electrical impedance of the upper arm2=5461Ω;
Fifthly, comparing the muscle impedance data of the fatigue state and the normal state of the big arm, the muscle impedance in the fatigue state is obviously higher than that in the normal state, as shown in figure 4,
R1>R2;
sixthly, taking the left calf of the tested person as a measuring object, and after the calf muscle is kept tight for 5 minutes and obvious ache is felt, considering that the muscle is in a fatigue state;
seventhly, two electrodes are protected at the position where the shank of the tested person feels fatigue, the assembled circuit is used for measuring the electrical impedance, 100 groups of electrical impedance data are obtained within one minute, and as shown in figure 5, the average value R of the electrical impedance of the shank in the fatigue state3=6550Ω;
Eighthly, relaxing the calf muscles, sitting still, massaging for 10 minutes until the calf muscles relax, and considering that the calf muscles are in a good state at the moment;
ninth, the muscular impedance measurement is performed again on the electrodes arranged at the same positions in the seventh step, and as shown in FIG. 6, the average value R of the electrical impedance of the lower leg in the normal state is4=6530Ω;
Tenth step, comparing the muscle impedance data of the fatigue state and the normal state of the lower leg, it can be known that the muscle impedance in the fatigue state is obviously higher than that in the normal state, as shown in fig. 7,
R3>R4。
the foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (5)
1. An electrical impedance-based fatigue degree assessment system is characterized in that: the method comprises the following steps:
step 1, placing electrodes on parts which feel fatigue to measure the electrical impedance of muscles;
step 2, massaging and relaxing the fatigue part until the fatigue part feels good;
step 3, carrying out muscle electrical impedance measurement again on the electrode placed at the part;
and 4, analyzing the electrical impedance data measured twice, and evaluating the relation between the fatigue degree and the electrical impedance of the muscle.
2. The electrical impedance-based fatigue assessment system of claim 1, wherein: the muscle electrical impedance measurement of the step 1 comprises the following steps:
(1) assembling a muscle electrical impedance measuring circuit;
(2) and (4) calculating the electrical impedance value of the tested part.
3. The electrical impedance-based fatigue assessment system of claim 1, wherein: and 2, when the fatigue part is relaxed, selecting sitting relaxation or massage relaxation.
4. The electrical impedance-based fatigue assessment system of claim 1, wherein: and 3, carrying out muscle electrical impedance measurement operation on the relaxed fatigue part again, wherein the electrode placement position is the same as the first measurement.
5. The electrical impedance-based fatigue assessment system of claim 1, wherein: the electrical impedance data measured in the step 4 is at least 2 times.
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Citations (5)
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CN1302587A (en) * | 2000-01-05 | 2001-07-11 | 株式会社百利达 | Apparatus for determining fatigue level of human body |
CN103340626A (en) * | 2013-07-19 | 2013-10-09 | 东南大学 | Device for evaluating human body four-limb edema based on biological impedance and use method thereof |
WO2016099824A1 (en) * | 2014-11-24 | 2016-06-23 | Skulpt, Inc. | Systems and methods for measurement of biompedance |
CN106725537A (en) * | 2016-12-06 | 2017-05-31 | 北京欧德蒙科技有限公司 | Fatigue analysis method and system based on human body skin electricity |
CN108211141A (en) * | 2018-01-16 | 2018-06-29 | 南京医科大学 | A kind of closed loop pain ultrasound physical therapeutic system based on electromyography signal feedback |
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Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN1302587A (en) * | 2000-01-05 | 2001-07-11 | 株式会社百利达 | Apparatus for determining fatigue level of human body |
CN103340626A (en) * | 2013-07-19 | 2013-10-09 | 东南大学 | Device for evaluating human body four-limb edema based on biological impedance and use method thereof |
WO2016099824A1 (en) * | 2014-11-24 | 2016-06-23 | Skulpt, Inc. | Systems and methods for measurement of biompedance |
CN106725537A (en) * | 2016-12-06 | 2017-05-31 | 北京欧德蒙科技有限公司 | Fatigue analysis method and system based on human body skin electricity |
CN108211141A (en) * | 2018-01-16 | 2018-06-29 | 南京医科大学 | A kind of closed loop pain ultrasound physical therapeutic system based on electromyography signal feedback |
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