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Blood cell morphological analysis internet-of-things detection and diagnosis method and platform

A morphological analysis and blood cell technology, applied in the fields of medical devices and the Internet of Things, can solve problems such as the inability of patients to know the test results at the first time, the inability of remote experts to synchronously understand the patient's inspection status, and the limitation of the transmission and sharing of test results. Intuitive, enhanced depth and breadth effects

Active Publication Date: 2016-06-15
万度网络技术有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, the blood cell analysis reports issued by hospitals or medical institutions often only have test data such as the number of blood cell types and components, but do not have images of live blood and dried blood forms and analysis reports of blood cells, which are not intuitive, comprehensive and in-depth for patients' physical examination; and written analysis Reporting also largely limits the dissemination and sharing of test results
In addition, the existing blood cell analysis and reporting process is often long, and it is impossible for patients to know the test results at the first time, and it is impossible for remote experts to simultaneously understand the patient's examination status and conduct remote analysis and diagnosis, causing a lot of inconvenience

Method used

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  • Blood cell morphological analysis internet-of-things detection and diagnosis method and platform
  • Blood cell morphological analysis internet-of-things detection and diagnosis method and platform
  • Blood cell morphological analysis internet-of-things detection and diagnosis method and platform

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Experimental program
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Effect test

Embodiment 1

[0027] Such as figure 1 and 2As shown, the present invention discloses an IOT diagnostic platform for blood cell morphology analysis, including: a blood phase IOT detection system and a blood phase detection device 101, wherein the blood phase detection device 101 is an ordinary high-power microscope 1011, and the high-power microscope The connected camera 1012, of course, the two can also be combined into one. The blood phase IoT detection system specifically includes: an operation interface unit 107, configured to receive input information or operation instructions from the user, the input information at least including: an input subunit, configured to input identification information of the subject to be detected, and information related to the blood image. The blood phase name and blood phase description, collect and input the live blood shape image and the dried blood shape image of blood cells respectively; the image acquisition and display unit 102 is used to connect t...

Embodiment 2

[0030] The first embodiment will be further described in detail below, wherein, in order to ensure the shooting effect of the blood image, the operation interface unit further includes: a parameter setting subunit for setting blood image display or shooting parameters , and passed to the image acquisition and display unit; wherein, the blood image display or shooting parameters include at least one or a combination of the following: image resolution, RGB parameters, saturation, color enhancement, monochrome mode, automatic exposure Mode, exposure value, gamma, contrast, through the setting or input of the above parameters, the clarity and accuracy of the blood image can be guaranteed. In addition, in order to communicate with the user or the person to be detected, the present invention is further provided with a data connection unit 105, including: a printer connection subunit, used to connect to a local or remote printer, and transfer the above detection analysis report and / or...

Embodiment 3

[0032] Corresponding to the above platform embodiment, the present invention also provides a blood cell morphology analysis IoT diagnostic method, including: step 1) displaying an operation interface to the user, and receiving input information or operation instructions from the user, the input at least includes: The identification information of the person to be detected, the blood phase name and blood phase description related to the blood image; step 2) connecting the blood phase detection device, and displaying the blood image of the current subject to be detected transmitted by the blood phase detection device; step 3) receiving the user's save instruction, Store the current blood image together with the blood phase name and blood phase description with the identification information of the subject to be tested as a typical picture; step 4) receive the analysis instruction from the user, obtain multiple typical pictures selected by the user, and store according to the prese...

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Abstract

The invention discloses a blood cell morphological analysis internet-of-things detection and diagnosis method and a platform. The method includes the steps that firstly, an operation interface of a computer is displayed to a user, and input information or an operation instruction of the user is received; secondly, a hemogram detection device is connected, a blood image, transmitted by the hemogram detection device, of a current detected person can be displayed on the computer and a mobile terminal synchronously, and an activating blood morphological image and a dried blood morphological image of blood cells can be displayed respectively; thirdly, a save instruction of the user is received, the current blood image, the name of the hemogram and the hemogram are described, identification information of the detected person serves as relevance, and the activating blood morphological image and the dried blood morphological image of the blood cells serve as typical pictures; fourthly, an analysis instruction of the user is received, multiple typical pictures selected by the user are obtained, and a detection analysis report is formed; fifthly, operation instructions transmitted by remote clients including the mobile terminal are received, and corresponding data processing is executed according to the operation instructions.

Description

technical field [0001] The invention belongs to the fields of medical equipment and the Internet of Things, and specifically relates to a blood cell morphology analysis IoT detection and diagnosis method and platform. Background technique [0002] Blood cell analysis is a technology for observing and analyzing red blood cells, white blood cells and blood components through the inspection of special instruments. It is one of the commonly used methods in modern medical clinical testing. Due to the different health status of the human body, the substances in the blood and the shape of blood cells will change, but the existing blood cell analysis process is often isolated and one-sided, focusing on the counting, detection and analysis of blood cell types, components, etc., lacking the state of blood cell activation Morphological detection and analysis of the state of dried blood; it is difficult to save and compare the blood cell morphology detected by each blood collection of e...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG06F19/321G16H50/20
Inventor 张晓崧
Owner 万度网络技术有限公司
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