Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Cognitive symptom detection system and program

A detection system, dementia technology, applied in computer-aided medical procedures, telemetry patient monitoring, diagnostic recording/measurement, etc., can solve the problem of insufficient detection of signs of dementia

Active Publication Date: 2018-08-28
PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO LTD
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Although the above-mentioned technology detects behaviors that are different from those of the occupants, it is insufficient for detecting signs of dementia.

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
  • Cognitive symptom detection system and program
  • Cognitive symptom detection system and program
  • Cognitive symptom detection system and program

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0037] [Configuration of the dementia symptom detection system]

[0038] First, the overall configuration of the dementia symptom detection system according to the embodiment will be described. figure 1 It is a block diagram showing the configuration of the dementia symptom detection system according to the embodiment.

[0039] The dementia symptom detection system 10 is a system capable of capturing changes in psychobehavioral symptoms specific to dementia symptoms and notifying the detection target (hereinafter referred to as user) or family members of the target person of signs of dementia. Specifically, the dementia symptom detection system 10 determines the personal value of the index corresponding to the user's mental behavioral symptoms of dementia, and compares the determined personal value with the reference value of the index to detect the symptoms of dementia. to test. The reference value of the index is determined (calculated) based on the history of the active m...

specific example 1

[0074] Next, a specific example of the method of specifying the reference value and the personal value will be described. In the following description, for the three indexes of activity level, forgetfulness, and executive ability as indexes corresponding to the psychobehavioral symptoms of dementia, the calculation method of each reference value and individual value of these three indexes will be described. The above three indicators are an example. The index used in the information processing of the information processing unit 42 may be determined according to the psychobehavioral symptom, and the type of the index is not particularly limited.

[0075] First, the calculation method of the reference value and the individual value of the behavior quantity index is demonstrated. The index of the amount of behavior can basically be regarded as equal to the amount of activity. Figure 5 It is a distribution graph showing the activity level of a user with severe dementia. Figur...

specific example 2

[0082] As above Figure 5 to Figure 7 As shown in FIG. 2 , since the user who has signs of dementia tends to lead an irregular life, the periodicity of the amount of activity is low. In addition, since a user who has a sign of dementia has fewer activities in daily life that require complicated and many tasks, the amount of activity in a short period decreases. Therefore, the reference value and the personal value may be values ​​showing the periodicity of the amount of behavior (activity amount). Specifically, the information processing unit 42 may perform frequency analysis such as DFT (Discrete Fourier Transform: Discrete Fourier Transform) on a signal showing temporal changes in the amount of activity, and may specify a value showing periodicity. Figure 8 The results of the frequency analysis of the daily activity level of the user with severe dementia are shown, Figure 9 The result of the frequency analysis of the daily activity level of a normal user is shown. exist...

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 cognitive symptom detection system (10) is provided with an information processing unit (42) for determining the severity of the dementia of a user on the basis of: a reference value for an indexthat corresponds to the behavioral and psychological symptoms of dementia, the reference value being determined by an activity amount history stored in a storage unit (43) and a device operation information history stored in the storage unit (43); and a user's personal value on the index, the personal value being determined by the detected activity amount of the user and the acquired device operation information of the user.

Description

technical field [0001] The present invention relates to a dementia symptom detection system and program. Background technique [0002] Symptoms of dementia include well-known core symptoms such as memory impairment, disorientation, reduction in comprehension and judgment, and reduction in executive function. In addition to such core symptoms, peripheral symptoms corresponding to the patient's personality and the influence of the surrounding environment appear in dementia patients. In other words, peripheral symptoms are mental behavioral symptoms (BPSD: Behavioral and Psychological Symptoms of Dementia), which will bring a greater burden to caregivers. [0003] As techniques for detecting abnormal changes in residents due to dementia or the like, there are methods for detecting abnormal changes in life disclosed in Patent Documents 1 and 2 for detecting behaviors different from normal behavior of residents. [0004] (Prior art literature) [0005] (patent documents) [0...

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): A61B10/00A61B5/22G08B25/04
CPCA61B5/22A61B5/6889A61B5/002A61B5/0077A61B5/1118A61B5/7275A61B2560/0209A61B5/7257G08B21/0484G08B21/0492G08B21/0407A61B5/0022A61B5/165A61B5/167A61B5/4088A61B5/4815A61B2562/0219G16H50/20G16H50/30G16H10/40A61B5/11G08B25/04G16H20/70G16H80/00A61B5/6887
Inventor 松村吉浩西山高史岩川幹生阿部贤吾
Owner PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products