CN110051363A - Microwave signal denoising method for Ear lobe blood liquid layer blood sugar test - Google Patents
Microwave signal denoising method for Ear lobe blood liquid layer blood sugar test Download PDFInfo
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- CN110051363A CN110051363A CN201910153403.2A CN201910153403A CN110051363A CN 110051363 A CN110051363 A CN 110051363A CN 201910153403 A CN201910153403 A CN 201910153403A CN 110051363 A CN110051363 A CN 110051363A
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- signal
- low frequency
- wavelet transformation
- blood sugar
- high frequency
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- 239000008280 blood Substances 0.000 title claims abstract description 33
- 210000004369 blood Anatomy 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 19
- 210000000624 ear auricle Anatomy 0.000 title claims abstract description 14
- 238000012360 testing method Methods 0.000 title claims abstract description 11
- 239000007788 liquid Substances 0.000 title claims abstract description 7
- 230000009466 transformation Effects 0.000 claims abstract description 18
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 5
- 238000001914 filtration Methods 0.000 claims abstract description 3
- 238000004088 simulation Methods 0.000 claims abstract description 3
- 238000001514 detection method Methods 0.000 description 7
- 230000003595 spectral effect Effects 0.000 description 6
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 description 5
- 239000008103 glucose Substances 0.000 description 5
- 206010012601 diabetes mellitus Diseases 0.000 description 3
- 108010015776 Glucose oxidase Proteins 0.000 description 2
- 239000004366 Glucose oxidase Substances 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 229940116332 glucose oxidase Drugs 0.000 description 2
- 235000019420 glucose oxidase Nutrition 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- SPFMQWBKVUQXJV-BTVCFUMJSA-N (2r,3s,4r,5r)-2,3,4,5,6-pentahydroxyhexanal;hydrate Chemical compound O.OC[C@@H](O)[C@@H](O)[C@H](O)[C@@H](O)C=O SPFMQWBKVUQXJV-BTVCFUMJSA-N 0.000 description 1
- 208000031662 Noncommunicable disease Diseases 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000009429 distress Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000002513 implantation Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 210000002784 stomach Anatomy 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
Classifications
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7253—Details of waveform analysis characterised by using transforms
Abstract
The present invention relates to a kind of microwave signal denoising methods for Ear lobe blood liquid layer blood sugar test, including the following steps: 1) utilizes ear-lobe model, carry out simulation blood sugar concentration test experience, obtain receiving time domain plethysmographic signal figure；2) for receiving signal, use Wavelet Transformation Algorithm that will receive signal decomposition as high frequency section and low frequency part, the frequency cut-point of high frequency and low frequency is adaptively chosen by Wavelet Transformation Algorithm；3) low frequency part is extracted, reuses Wavelet Transformation Algorithm and is decomposed；4) the step of repeating above-mentioned 2~3, until the waveforms amplitude of high frequency section differs 3 several magnitudes out with the amplitude for the low frequency part for filtering out, i.e., it is believed that the noise in signal has filtered out.
Description
Technical field
The invention belongs to microwave Non-invasive detection technical field, it is related to a kind of blood sugar concentration detection method and to detection signal
Denoise noise reduction.
Background technique
Currently, diabetes have become non-communicable diseases popular in a kind of worldwide, blood glucose water is detected on an empty stomach
The flat conventional project for having become physical examination, facilitates preliminary screening diabetic patient in early stage.The blood glucose inspection clinically used at present
Survey method is mainly glucose oxidase (GOD) method, it is referred to as the goldstandard in clinical detection, and testing result is very accurate.
In addition to this, blood sugar test method further comprises the optical method in invasive detection, hypodermic implantation in minimally invasive detection and transdermal takes
Sample method.These methods all bring considerable distress to patient, for diabetic, need to carry out for several times daily
Blood sugar test, a kind of noninvasive painless blood sugar detecting method urgently develops.Human body ear-lobe is examined using low-frequency electromagnetic wave
It surveys, the glucose concentration level of blood in Ear lobe blood liquid layer can be determined by the feature that analysis receives electromagnetic wave.
Wavelet transformation is one of the common method for analyzing signal component, can be by the different frequencies in signal using wavelet transformation
Rate constituents extraction comes out, and is purified signal is further, and the clutter for receiving other compositions in signal is filtered out, and obtains purer connects
The collection of letters number.
Summary of the invention
The present invention provides a kind of microwave signal denoising method for Ear lobe blood liquid layer blood sugar test, and it is dense that blood glucose can be improved
Spend measurement accuracy.Technical solution is as follows:
A kind of microwave signal denoising method for Ear lobe blood liquid layer blood sugar test, including the following steps:
1) ear-lobe model is utilized, simulation blood sugar concentration test experience is carried out, obtains receiving time domain plethysmographic signal figure.
2) for receiving signal, use Wavelet Transformation Algorithm by reception signal decomposition for high frequency section and low frequency part, height
The frequency cut-point of frequency and low frequency is adaptively chosen by Wavelet Transformation Algorithm；
3) low frequency part is extracted, reuses Wavelet Transformation Algorithm and is decomposed；
4) the step of repeating above-mentioned 2~3, until the amplitude of the waveforms amplitude of high frequency section and the low frequency part for filtering out out
3 several magnitudes are differed, i.e., it is believed that the noise in signal has filtered out.
Detailed description of the invention
Fig. 1 receives time domain plethysmographic signal figure
Fig. 2 wavelet transformation filters out reception signal noise
Energy density spectral amplitude ratio variation tendency compares Fig. 3 before and after the processing
Specific embodiment
Wavelet transformation technique is integrated in microwave ultraviolet lamp blood sugar concentration technology by the present invention, using wavelet transformation by nothing
The signal received in damage blood sugar concentration detection process is different according to the frequency of signal and extracts the monochromatic of different frequency, obtains
To after receiving signal, waveform can be divided into high frequency section and low frequency part using wavelet transformation every time, due to ambient noise
Presence, high frequency section is noise present in environment, low frequency part is extracted every time, then do in next step decompose, so point
Five layers of solution, the high-frequency noise adulterated in signal is filtered out immediately, and left is considered as pure reception signal, can be used for signal
Analysis.
The present embodiment initially sets up the naive model of ear-lobe institutional framework, and blood layer and fat deposit, mould are divided into model
By the structure of fat package capillary in quasi- ear-lobe tissue, two antennas are individually positioned in ear-lobe tissue two sides, are respectively used to
Transmitting and reception high frequency sinusoidal signal, the blood glucose range of blood layer are 0~500mg/dl.The wave of transmitting antenna sending is set
Shape is frequency 300MHz, and amplitude is the single frequency sinusoidal signal of 1V, obtains receiving waveform.The concentration for changing detected solution, by concentration
It is sampled within the scope of 0~500mg/dl every 100mg/dl, receives the sinusoidal signal across model after transmitting sinusoidal signal again.
Fig. 1 be laboratory condition Imitating blood glucose measurement experiment receive signal time-domain diagram, this receive signal be doped with
The original signal figure of noise.Fig. 2 is the signal noise decomposited after have passed through five layers of wavelet decomposition, wherein
ApproximationA5 is that the more pure reception signal come is decomposited after five layers of wavelet transformation, it can be seen that is compared
For original signal, the burr of this signal is less, and the amplitude of signal is more uniform, and signal is more smooth, meets sine
The feature of signal.DetailD1~D5 is that five layers of wavelet transformation decomposite the clutter come, it can be seen that they are high-frequency harmonics,
These harmonic waves are the electromagnetic noises in laboratory environment, are entrained in and receive in signal, to the energy spectral density amplitude size of signal
There is large effect, meanwhile, as the number of plies of WAVELET PACKET DECOMPOSITION is continuously increased, decomposites the clutter amplitude come and constantly decline, table
It is bright to filter out more and more thoroughly.The amplitude order of magnitude of D5 is 2/1000ths of reception signal in 0.02mV or so, it is believed that this
When noise filtered out completely.
Fig. 3 be wavelet transformation decompose front and back receive signal energy density spectral amplitude ratio with blood sugar concentration trend chart,
It can be seen that receiving the energy density spectral amplitude ratio drop of signal during blood sugar concentration rises to 100mg/dl by 0mg/dl
Low about 43%, and during blood sugar concentration is increased to 500mg/dl by 100mg/dl, every raising 100mg/dl receives letter
Number energy density spectral amplitude ratio reduce and about 6%. compare, the reception signal after wavelet transform process is compared to processing
For preceding signal, the energy density spectral amplitude ratio of signal integrally reduces 0.1%, and the amplitude of this decline is exactly in experimentation
Electromagnetic noise in laboratory environment, after being filtered out electromagnetic noise using such method, obtained signal energy value is more smart
It really, more can be from numerically accurately reflecting reception signal energy information.Meanwhile this method can also remove the hair in waveform
Thorn, so that analysis result is more accurate.
Claims (1)
1. a kind of microwave signal denoising method for Ear lobe blood liquid layer blood sugar test, including the following steps:
1) ear-lobe model is utilized, simulation blood sugar concentration test experience is carried out, obtains receiving time domain plethysmographic signal figure；
2) for receive signal, use Wavelet Transformation Algorithm will receive signal decomposition for high frequency section and low frequency part, high frequency and
The frequency cut-point of low frequency is adaptively chosen by Wavelet Transformation Algorithm；
3) low frequency part is extracted, reuses Wavelet Transformation Algorithm and is decomposed；
4) the step of repeating above-mentioned 2~3, until the waveforms amplitude of high frequency section differs out with the amplitude for the low frequency part for filtering out
3 several magnitudes, i.e., it is believed that the noise in signal has filtered out.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910153403.2A CN110051363A (en) | 2019-02-28 | 2019-02-28 | Microwave signal denoising method for Ear lobe blood liquid layer blood sugar test |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910153403.2A CN110051363A (en) | 2019-02-28 | 2019-02-28 | Microwave signal denoising method for Ear lobe blood liquid layer blood sugar test |
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| Publication Number | Publication Date |
|---|---|
| CN110051363A true CN110051363A (en) | 2019-07-26 |
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| CN201910153403.2A Pending CN110051363A (en) | 2019-02-28 | 2019-02-28 | Microwave signal denoising method for Ear lobe blood liquid layer blood sugar test |
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101032403A (en) * | 2006-03-07 | 2007-09-12 | 沈阳众泰科技发展有限公司 | Tiny-wound, dynamic and continuous detecting method and system of concentration of sugar in human blood |
| US20100014725A1 (en) * | 2008-07-15 | 2010-01-21 | Nellcor Puritan Bennett Ireland | Systems And Methods For Filtering A Signal Using A Continuous Wavelet Transform |
| US20110191047A1 (en) * | 2010-02-01 | 2011-08-04 | Lecroy Corporation | Wavelet Denoising for Time-Domain Network Analysis |
| US20160361041A1 (en) * | 2015-06-15 | 2016-12-15 | The Research Foundation For The State University Of New York | System and method for infrasonic cardiac monitoring |
| CN106308814A (en) * | 2016-08-09 | 2017-01-11 | 上海润寿智能科技有限公司 | Blood sugar non-invasive detection instrument based on near infrared spectrum analysis and realization method thereof |
| CN106419932A (en) * | 2016-07-15 | 2017-02-22 | 天津大学 | Blood sugar concentration detection method based on time-frequency analysis of ultra-wideband microwave signals |
| CN108542402A (en) * | 2018-05-17 | 2018-09-18 | 吉林求是光谱数据科技有限公司 | Blood sugar detecting method based on Self-organizing Competitive Neutral Net model and infrared spectrum |
| CN108937878A (en) * | 2018-06-06 | 2018-12-07 | 北京邮电大学 | A kind of method that pulse wave signal motion artifacts are eliminated |
-
2019
- 2019-02-28 CN CN201910153403.2A patent/CN110051363A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101032403A (en) * | 2006-03-07 | 2007-09-12 | 沈阳众泰科技发展有限公司 | Tiny-wound, dynamic and continuous detecting method and system of concentration of sugar in human blood |
| US20100014725A1 (en) * | 2008-07-15 | 2010-01-21 | Nellcor Puritan Bennett Ireland | Systems And Methods For Filtering A Signal Using A Continuous Wavelet Transform |
| US20110191047A1 (en) * | 2010-02-01 | 2011-08-04 | Lecroy Corporation | Wavelet Denoising for Time-Domain Network Analysis |
| US20160361041A1 (en) * | 2015-06-15 | 2016-12-15 | The Research Foundation For The State University Of New York | System and method for infrasonic cardiac monitoring |
| CN106419932A (en) * | 2016-07-15 | 2017-02-22 | 天津大学 | Blood sugar concentration detection method based on time-frequency analysis of ultra-wideband microwave signals |
| CN106308814A (en) * | 2016-08-09 | 2017-01-11 | 上海润寿智能科技有限公司 | Blood sugar non-invasive detection instrument based on near infrared spectrum analysis and realization method thereof |
| CN108542402A (en) * | 2018-05-17 | 2018-09-18 | 吉林求是光谱数据科技有限公司 | Blood sugar detecting method based on Self-organizing Competitive Neutral Net model and infrared spectrum |
| CN108937878A (en) * | 2018-06-06 | 2018-12-07 | 北京邮电大学 | A kind of method that pulse wave signal motion artifacts are eliminated |
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Application publication date: 20190726 |