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Intelligent detection system for prediction of ovulatory period

An intelligent detection and computer system technology, applied in the fields of inoculation and ovulation diagnosis, medical science, special data processing applications, etc., can solve problems such as time-consuming and energy-consuming, difficult urine test strips, troubles, etc., and achieve low cost and accurate prediction. The effect of high rate and advanced data processing means

Inactive Publication Date: 2015-11-11
张海良 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

2. B-ultrasound monitoring method: The method is more accurate, but the disadvantage is that it is time-consuming. It needs to be continuously observed in one or several menstrual cycles, and try to find a regular doctor. Large hospitals have to wait in line for inspection, which takes a lot of time and energy.
3. Menstrual period estimation method: it can only be applied to women whose menstrual cycle has always been normal, and women's menstrual cycle will change due to changes in various factors such as their own psychology and body, so there are uncertainties in the menstrual period estimation method
4. Ovulation test paper self-test: It predicts the ovulation time by detecting the peak level of luteinizing hormone (LH), but the half-life of degraded LH in urine is only 30 minutes, and the LH in urine is the LH in blood Degradants, so it is difficult for most women to use urine test strips to achieve the goal of conception
And this method is relatively cumbersome to use

Method used

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  • Intelligent detection system for prediction of ovulatory period
  • Intelligent detection system for prediction of ovulatory period
  • Intelligent detection system for prediction of ovulatory period

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0016] Example 1, see figure 2 Here, the communication module of the present invention adopts the M2M communication module 21 based on the wireless Internet of Things. The communication module is connected to the Internet 22 through the technology of the Internet of Things, and is connected to the server 23 of the system. The server 23 provides data storage and data processing services. Install app or application program on the 24 to access the service end 23 to obtain data, and display the data on the device 24; the visit of the service end 23 can also use the B / S mode, and use the web browser on the device 24 to access the service end 23 retrieve data. The server 23 device may be a cloud or a server, and the device 23 may be a user's existing smart phone or personal computer.

Embodiment 2

[0017] Example 2, see image 3 , the communication module of the present invention adopts bluetooth communication module 31 here, and bluetooth communication module 31 communicates point-to-point with bluetooth module 32 on equipment 33, sends data to equipment 33, installs app or application program, app or application program on equipment 33 Store and process data, and display the data on the device 33. This system structure can also upload the data on the device 33 to the server 35 for storage through the Internet 34. The server 35 provides long-term data storage and access services, which can prevent the data of the device 33 from Lost, it can also provide services for device 33 data migration. The server 35 device can be a cloud or a server, and the device 33 can be a user's existing smart phone or personal computer.

Embodiment 3

[0018] Example 3, see Figure 4 Here, the communication module of the present invention adopts a data transmission module 41 based on the audio interface of the mobile phone, and the interface of the module 41 is connected to the audio interface 42 on the device 43 through an audio cable, and the data collected is uploaded to the device 43 through the audio input interface of the device 43. The app or application program is installed on the device 43, and the app or application program stores and processes data, and displays the data on the device 43. This system structure can also upload the data on the device 43 to the server 45 for storage through the Internet 44, and the server 45 Provide long-term data storage and access services, which can prevent device 43 data loss, and also provide services for device 43 data migration. Wherein the server 45 device can be a cloud or a server, and the device 43 can be a user's existing smart phone.

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Abstract

The invention discloses an intelligent detection system for prediction of the ovulatory period. The system comprises 1, a data acquisition terminal and 2, a data processing system operating on a computer system. The intelligent detection system is characterized in that a sensor of the data acquisition terminal is used for measuring information on a period change rule of electrolyte conduction characteristics including saliva, cervical mucus or other body fluids; measured information is uploaded to the data processing system for processing by means of a communication link in order to obtain information on the physiological cycle; and relevant information on the ovulatory period, the best pregnant date and natural (the safe period) family planning serve as a real-time reminder for a user. The intelligent detection system for prediction of the ovulatory period has following beneficial effects: due to the fact that the data acquisition terminal is separated from the data processing system, and a data processing unit is finished only by the computer system, cost of the terminal is reduced and size of the terminal is decreased; the intelligent detection system is easily carried; and a professional computer system is well utilized for finishing data processing, displaying and reminding functions and rendering services.

Description

technical field [0001] The invention relates to an intelligent detection system for predicting and indicating the ovulation period, the best conception day, and natural (safe period) contraception, especially the technology of comprehensively utilizing electronic detection, communication, Internet of Things, cloud computing storage, and computer system data processing. Background technique [0002] At present, the existing commonly used methods to determine the ovulation period: 1. Basal body temperature measurement method: It is the most economical method, but the disadvantage is that it needs to be measured for a long time, the less side is 1-2 months, and the longer side is more than a few months . In addition, during the menstrual period, if a woman has a cold, fever, diarrhea, insomnia, drinking alcohol, or using an electric blanket, her basal body temperature is often easily affected. 2. B-ultrasound monitoring method: The method is more accurate, but the disadvantage...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B10/00G06F19/00
Inventor 张海良易兰英
Owner 张海良
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