CN204581297U - A kind of insulin resistant detector based on pulse wave - Google Patents
A kind of insulin resistant detector based on pulse wave Download PDFInfo
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- CN204581297U CN204581297U CN201520256245.0U CN201520256245U CN204581297U CN 204581297 U CN204581297 U CN 204581297U CN 201520256245 U CN201520256245 U CN 201520256245U CN 204581297 U CN204581297 U CN 204581297U
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- pulse wave
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- NOESYZHRGYRDHS-UHFFFAOYSA-N insulin Chemical compound N1C(=O)C(NC(=O)C(CCC(N)=O)NC(=O)C(CCC(O)=O)NC(=O)C(C(C)C)NC(=O)C(NC(=O)CN)C(C)CC)CSSCC(C(NC(CO)C(=O)NC(CC(C)C)C(=O)NC(CC=2C=CC(O)=CC=2)C(=O)NC(CCC(N)=O)C(=O)NC(CC(C)C)C(=O)NC(CCC(O)=O)C(=O)NC(CC(N)=O)C(=O)NC(CC=2C=CC(O)=CC=2)C(=O)NC(CSSCC(NC(=O)C(C(C)C)NC(=O)C(CC(C)C)NC(=O)C(CC=2C=CC(O)=CC=2)NC(=O)C(CC(C)C)NC(=O)C(C)NC(=O)C(CCC(O)=O)NC(=O)C(C(C)C)NC(=O)C(CC(C)C)NC(=O)C(CC=2NC=NC=2)NC(=O)C(CO)NC(=O)CNC2=O)C(=O)NCC(=O)NC(CCC(O)=O)C(=O)NC(CCCNC(N)=N)C(=O)NCC(=O)NC(CC=3C=CC=CC=3)C(=O)NC(CC=3C=CC=CC=3)C(=O)NC(CC=3C=CC(O)=CC=3)C(=O)NC(C(C)O)C(=O)N3C(CCC3)C(=O)NC(CCCCN)C(=O)NC(C)C(O)=O)C(=O)NC(CC(N)=O)C(O)=O)=O)NC(=O)C(C(C)CC)NC(=O)C(CO)NC(=O)C(C(C)O)NC(=O)C1CSSCC2NC(=O)C(CC(C)C)NC(=O)C(NC(=O)C(CCC(N)=O)NC(=O)C(CC(N)=O)NC(=O)C(NC(=O)C(N)CC=1C=CC=CC=1)C(C)C)CC1=CN=CN1 NOESYZHRGYRDHS-UHFFFAOYSA-N 0.000 title claims abstract description 83
- 229940125396 insulin Drugs 0.000 title claims abstract description 42
- 102000004877 Insulin Human genes 0.000 title claims abstract description 41
- 108090001061 Insulin Proteins 0.000 title claims abstract description 41
- 238000001514 detection method Methods 0.000 claims abstract description 50
- 238000012545 processing Methods 0.000 claims abstract description 18
- 238000000034 method Methods 0.000 claims description 10
- 230000005540 biological transmission Effects 0.000 claims description 5
- 206010012601 diabetes mellitus Diseases 0.000 abstract description 7
- 238000012360 testing method Methods 0.000 abstract description 5
- 230000002265 prevention Effects 0.000 abstract description 2
- 210000002700 urine Anatomy 0.000 abstract description 2
- 208000001072 type 2 diabetes mellitus Diseases 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 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 2
- 206010018429 Glucose tolerance impaired Diseases 0.000 description 2
- 208000001280 Prediabetic State Diseases 0.000 description 2
- 239000008280 blood Substances 0.000 description 2
- 210000004369 blood Anatomy 0.000 description 2
- 239000008103 glucose Substances 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 201000009104 prediabetes syndrome Diseases 0.000 description 2
- 238000004566 IR spectroscopy Methods 0.000 description 1
- 206010022489 Insulin Resistance Diseases 0.000 description 1
- 208000001145 Metabolic Syndrome Diseases 0.000 description 1
- 238000001069 Raman spectroscopy Methods 0.000 description 1
- 102400001107 Secretory component Human genes 0.000 description 1
- 201000000690 abdominal obesity-metabolic syndrome Diseases 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 238000000149 argon plasma sintering Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 230000005622 photoelectricity Effects 0.000 description 1
- 238000000711 polarimetry Methods 0.000 description 1
- 230000010349 pulsation Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 210000000106 sweat gland Anatomy 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
Landscapes
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
This utility model belongs to medical instruments field, disclose a kind of insulin resistant detector based on pulse wave, be made up of pulse wave detection module, insulin resistant detection module, data processing module and display module, described data processing module connects described pulse wave detection module, insulin resistant detection module and display module respectively, detection data are transferred to data processing module by described pulse wave detection module and insulin resistant detection module, and result is shown by display module.The insulin resistant detector testing cost based on pulse wave that this utility model provides is low, convenient and swift, there is real-time, persistency detects the function analyzing human body insulin resistant, by the Discussion of Linear Model between the eigenvalue of pulse wave and the insulin resistant IR value detecting experimenter, achieving discovery morning, early prevention, early treatment that 2 type bran urine are sick, is a kind of noinvasive diabetes detector.
Description
Technical field
This utility model belongs to medical instruments field, is specifically related to a kind of insulin resistant detector based on pulse wave.
Background technology
Current pulse wave measurement technology is comparatively ripe, and usually adopt photoplethysmographic detection method to measure, photoplethysmographic detection method is in biological tissue, detect a kind of noinvasive pulse wave detection method of school work statistics variations by photoelectricity means.Noinvasive pulse wave detection method mainly comprises polarimetry, Raman spectrographic method, light scattering coefficient method, infrared spectrometry, multi-parameter comprehensive computing method, volume pulsation wave measurement method etc.
The technology of Non-invasive detection diabetes or prediabetes is just progressively subject to international concern, in recent years the human-body biological detector EZSCAN being taken the lead in developing by French Impeto Medical company (succeeds in developing for 2008, 2010 are introduced by China) by the detection success prediction of human sweat glands's secretory component and the insulin resistant phase having judged prediabetes and the generation of diagnosing diabetes, demonstrate the feasibility that atraumatic technique detects diabetes, but this instrument involves great expense (750,000 RMB), only can be qualitative, exact value cannot be provided, testing conditions is higher, and it is higher to the requirement of patient when detecting, be disturbed many factors, these shortcomings make its expansion in clinical practice have a definite limitation, also can not carry with, be difficult to carry out Real-Time Monitoring.The glucose clamp experiment of conventional Clinical detection insulin resistant detects to be needed again extremely for a long time, to also increase the error of testing result while making troubles to patient.
Therefore, need clinically to invent the detecting instrument that a kind of equipment of research is simple, easy to use, can detect and prevent human body diabetes in real time, realize Non-invasive detection, to alleviate the sense of discomfort that prior art brings patient.
Utility model content
One of the purpose of this utility model is some problems existed for solving above-mentioned prior art, there is provided a kind of testing cost low, convenient and swift, there is real-time, persistency detects the equipment analyzing human body insulin resistant, and then a kind of detecting instrument realizing diabetes control is provided.
This utility model provides a kind of insulin resistant detector based on pulse wave, described detector is made up of pulse wave detection module, insulin resistant detection module, data processing module and display module, described data processing module connects described pulse wave detection module, insulin resistant detection module and display module respectively, detection data are transferred to data processing module by described pulse wave detection module and insulin resistant detection module, and result is shown by display module.
Further, described pulse wave detection module comprises photoelectric sensor and memorizer.
Further, described insulin resistant detection module comprises photoelectric sensor and memorizer.
Further, described pulse wave detection module is connected with data processing module by wireless transmission method with insulin resistant detection module.
The beneficial effects of the utility model are: the insulin resistant detector checkout equipment based on pulse wave provided is simple, testing cost is low, convenient and swift, there is real-time, persistency detects the equipment analyzing human body insulin resistant, the detection of blood sugar for human body content hurtless measure, low cost can be realized.By the Discussion of Linear Model between the eigenvalue of pulse wave and the insulin resistant IR value detecting experimenter, the noinvasive prevention achieving 2 type brans urine sick detects, and alleviates sense of discomfort and the financial burden after being ill of person under inspection.
Accompanying drawing explanation
Figure 1 shows that the function structure chart of this utility model based on the insulin resistant detector of pulse wave.
Wherein, 101-pulse wave detection module, 102-insulin resistant detection module, 103-data processing module, 104-display module.
Detailed description of the invention
Hereafter will describe this utility model particular content in conjunction with specific embodiments in detail.It should be noted that the combination of technical characteristic or the technical characteristic described in following embodiment should not be considered to isolated, they can mutually be combined thus be reached better technique effect.
Embodiment 1
The insulin resistant detector based on pulse wave that the present embodiment provides, as shown in Figure 1, comprises pulse wave detection module 101, insulin resistant detection module 102, data processing module 103 and display module 104.Pulse wave detection module 101 comprises photoelectric sensor and memorizer, and insulin resistant detection module 102 comprises photoelectric sensor and memorizer.Wherein, pulse wave detection module 101 and insulin resistant detection module 102 first the data detected are stored into self with memorizer in, then the data detected are transferred in data processing module 103 and carry out analyzing and processing, by result type 2 diabetes mellitus detected and prevent.The described insulin resistant detector based on pulse wave also comprises power supply for each construction module and powers.Described display module 104 is chosen as LCD display.Described pulse wave detection module 101 can be connected with data processing module 103 by wireless transmission method with insulin resistant detection module 102, and wireless transmission method can select wifi pattern to carry out information transmission.
In use procedure, pulse wave detection module 101 can select ring-shape photoelectric sensor to measure pulse wave real time data, and the pulse signal obtained through photoelectric sensor measurement shows after signal filter electric discharge road, signal amplification circuit, unit control module and data conversion module process in display module 104.Insulin resistant detection module 102 detects the insulin resistant IR value of experimenter, measurement result is input in data processing module 103, data processing module 103 is by integrating related data and the insulin resistance index of pulse wave, set up the mathematical model between insulin resistant and experimenter's blood glucose, as monitoring, the means predicting metabolic syndrome and type 2 diabetes mellitus, find the morning being conducive to type 2 diabetes mellitus, morning prevents, early treatment, provides the detector that a kind of noinvasive diabetes detect.
Although given embodiments more of the present utility model, it will be understood by those of skill in the art that when not departing from this utility model spirit herein, can change embodiment herein.Above-described embodiment is exemplary, should using embodiment herein as the restriction of this utility model interest field.
Claims (4)
1. the insulin resistant detector based on pulse wave, it is characterized in that, be made up of pulse wave detection module, insulin resistant detection module, data processing module and display module, described data processing module connects described pulse wave detection module, insulin resistant detection module and display module respectively, detection data are transferred to data processing module by described pulse wave detection module and insulin resistant detection module, and result is shown by display module.
2. a kind of insulin resistant detector based on pulse wave as claimed in claim 1, it is characterized in that, described pulse wave detection module comprises photoelectric sensor and memorizer.
3. a kind of insulin resistant detector based on pulse wave as claimed in claim 1, it is characterized in that, described insulin resistant detection module comprises photoelectric sensor and memorizer.
4. a kind of insulin resistant detector based on pulse wave as claimed in claim 1, it is characterized in that, described pulse wave detection module is connected with data processing module by wireless transmission method with insulin resistant detection module.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201520256245.0U CN204581297U (en) | 2015-04-23 | 2015-04-23 | A kind of insulin resistant detector based on pulse wave |
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| CN201520256245.0U CN204581297U (en) | 2015-04-23 | 2015-04-23 | A kind of insulin resistant detector based on pulse wave |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105232056A (en) * | 2015-11-05 | 2016-01-13 | 张宏业 | Automated Blood Glucose Meter |
| CN105607530A (en) * | 2015-11-05 | 2016-05-25 | 张宏业 | Blood glucose detection method based on automatic glucose meter |
| CN105942982A (en) * | 2016-06-01 | 2016-09-21 | 何雷 | Tumor predictor based on dynamic spectra |
| CN112635054A (en) * | 2020-11-30 | 2021-04-09 | 新绎健康科技有限公司 | System and method for predicting target blood glucose value based on pulse map parameters |
-
2015
- 2015-04-23 CN CN201520256245.0U patent/CN204581297U/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105232056A (en) * | 2015-11-05 | 2016-01-13 | 张宏业 | Automated Blood Glucose Meter |
| CN105607530A (en) * | 2015-11-05 | 2016-05-25 | 张宏业 | Blood glucose detection method based on automatic glucose meter |
| CN105232056B (en) * | 2015-11-05 | 2016-11-09 | 中山标佳生物科技有限公司 | medical treatment instrument |
| CN105607530B (en) * | 2015-11-05 | 2016-12-14 | 华北理工大学 | A kind of automatization blood glucose meter |
| CN105942982A (en) * | 2016-06-01 | 2016-09-21 | 何雷 | Tumor predictor based on dynamic spectra |
| CN105942982B (en) * | 2016-06-01 | 2019-02-15 | 何雷 | A kind of tumour prediction instrument based on dynamic spectrum |
| CN112635054A (en) * | 2020-11-30 | 2021-04-09 | 新绎健康科技有限公司 | System and method for predicting target blood glucose value based on pulse map parameters |
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150826 Termination date: 20170423 |