Information management system and information management server

An information management system and information management technology, applied in informatics, medical informatics, instruments, etc., can solve problems such as real-time monitoring, difficult measurement, and inability to provide regular indicators

Inactive Publication Date: 2008-08-27
HITACHI LTD
View PDF4 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These indicators can also be collected to know the status after the end of the day's operation, but it is difficult to measure them at any time during the operation
[0013] Although there is a demand to grasp such health or safety indicators at any time, in the prior art of the above-mentioned patent documents 1 to 3, although the health indicators can be provided for the states that can be measured by sensors, they cannot be measured frequently. The body weight or blood pressure, blood sugar level, and psychological stress cannot provide regular indicators
[0014] In addition, the above-mentioned Patent Document 4 is a method of checking compliance with the rules once the rules for making predictions are generated, so there is a problem that the indicators related to health and safety are discrete analysis, so real-time monitoring cannot be performed.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Information management system and information management server
  • Information management system and information management server
  • Information management system and information management server

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0052]FIG. 1 shows a first embodiment of the present invention, and is a block diagram of an information management system for health management using a sensor network system (hereinafter referred to as sensor network). In this embodiment, an information management system is shown that predicts a user's weight, which is a health index that cannot be measured frequently, based on biological information that is constantly measured by a sensor worn on the user's body, and issues a warning according to a predetermined condition.

[0053] A wearable sensor (hereinafter, assumed to be a sensor node) 1 is worn on a person's body (for example, wrist, etc.), and constantly measures biological information (pulse, acceleration) and sends it to the base station 3, and at the same time transmits the information received from the base station 3 The information is transmitted to the wearer. The sensor node 1 and the base station 3 are connected by a wireless network 4 such as IEEE802.15.4 (Z...

no. 2 approach

[0168] Fig. 24 is a block diagram showing an information management system according to a second embodiment. The pulse rate calculation unit 155 and the zero-cross counting unit 154 included in the sensor node 1 of the first embodiment described above are moved to the data server 6 in order to reduce the calculation load on the sensor node 1 .

[0169] In addition, the scale 2 directly transmits the measured body weight data to the base station 3, and the power consumption when the sensor node 1 transmits the body weight data is suppressed.

[0170] In the sensor node 1, the pulse rate calculating unit 155 and the zero-cross counting unit 154 shown in FIG. 4 of the above-mentioned first embodiment are removed, and the measurement values ​​of each sensor are converted into digital values ​​by the A / D converters 156 and 157. Afterwards, it is sent to the base station 3 and stored in the waveform table 63 provided in the database 61 of the data server 6 .

[0171] The data serve...

no. 3 approach

[0183] 27 and 28 show the third embodiment, and are examples in which the number of times of zero crossing and the pulse rate are included as explanatory variables of the above-mentioned first embodiment.

[0184] FIG. 27 is a flowchart showing an example in which a part of the process of generating explanatory variables by the explanatory variable generating unit 75 is changed from the flowchart shown in FIG. 22 in the first embodiment. In the following example, an example of creating a multiple regression analysis table 73 for performing multiple regression analysis is shown using body weight data of the past 7 days and explanatory variables (number of zero crossings and pulse rate) in order to learn past weight data. In this case, an example is shown in which the target variable of one week and the explanatory variable of one week are used for prediction, and the sampling period of the number of zero crossings as explanatory variables can be shortened compared with the first...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an information management system and a server. For the purpose of effectively supervising a user of the health indexes that cannot always be measured, such as the weight and blood pressure, warning and information are provided based on a prediction of the health indexes. The information management system, in which a first parameter that is not always measured is predicted from a second always measurable parameter, comprises a first measurement segment for measuring the first measurable parameter according to a first definite time, a second measurement segment for measuring the first measurable parameter according to a second definite time, a data storage segment for storing the values of the measured first measurable parameter and the measured second measurable parameter, a predictive formula generating segment for generating a predictive formula for calculating the predicted value of the first measurable parameter according to the values of the first measurable parameter and the second measurable parameter stored in the data storage segment, and a predicted value calculating segment for calculating the predicted value of the first measurable parameter according to the generated predictive formula and the second measurable parameter. The predictive formula generating segment generates the predictive formula at the definite time.

Description

technical field [0001] The present invention relates to an information management system for predicting measurement items that can only be measured discretely based on frequently measurable measurement items, and particularly relates to predicting physical conditions, mental conditions, productivity, and safety that cannot be frequently measured based on frequently measurable biological information An information management system that can monitor arbitrary indicators such as sex and issue alerts as needed. Background technique [0002] In recent years, research has been conducted on network systems (hereinafter referred to as sensor networks) in which small electronic circuits with wireless communication functions are attached to sensors and various information of the real world are input to information processing devices in real time. The sensor network has a wide range of applications. For example, it is also proposed to use a small electronic circuit integrated with a ra...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B19/00G06F19/00A61B5/01A61B5/04G01G19/44G06Q50/22G16Z99/00
CPCG01D9/005G16H50/30G16H50/50G16Z99/00
Inventor 栗山裕之矢野和男山下春造
Owner HITACHI LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products