Early warning method and system for excretion of excrement and urine based on EEG signal

A defecation and signal technology, applied in the field of EEG signal recognition, can solve problems such as inability to predict defecation events in time, damage to the self-esteem of the elderly, and physical injury of the elderly, so as to improve self-esteem and quality of life, reduce labor costs and time, the effect of improving the convenience of life

Inactive Publication Date: 2021-08-06
北京脑陆科技有限公司
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Excretion is the basic physiological need of the elderly, but because the elderly usually suffer from urinary system diseases, their urine and stool are often unable to control themselves, and once involuntary excretion occurs, it will cause great trouble to the elderly, not only to the The body of the elderly will cause harm, and it will also hurt the self-esteem of the elderly, and the cost of manual care will increase, and the cost of manpower and time will be high. Therefore, a method for early warning, detection and monitoring of the excretion of the elderly is needed. and system
[0003] However, there is currently no brain-computer device that intelligently analyzes EEG signals to predict and monitor the defecation process in the market and clinically. It cannot predict defecation events in time, and cannot provide timely care for the elderly. The labor cost and time are high, and life is inconvenient.

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
  • Early warning method and system for excretion of excrement and urine based on EEG signal
  • Early warning method and system for excretion of excrement and urine based on EEG signal
  • Early warning method and system for excretion of excrement and urine based on EEG signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The core of the present invention is to provide a method and system for early warning of defecation and excretion based on EEG signals, so as to realize the prediction of defecation events, timely early warning, reduce the cost and time of manual care, and automatically identify and early warning, monitor the defecation motivation of elderly users, and improve the escort Quality, improve the self-esteem and quality of life of the elderly, and improve the convenience of life.

[0024] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodim...

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 discloses an early warning method and system for excretion of excrement and urine based on an EEG signal. The method comprises the following steps: an EEG signal of a user is collected through an EEG signal collection device and the collected EEG signal is transmitted to a data analysis system; the data analysis system processes the EEG signal to obtain a pure EEG signal, analyzes the pure EEG signal to obtain a target characteristic value, and inputs the target characteristic value into an algorithm model for classification and recognition to evaluate a current excretion control state of the user; and when the data analysis system detects that the user has a defecating feel through the control state, sends voice prompt information to a sound amplification device, and reminds a worker to deal with a defecating problem of the user in advance. The early warning method realizes intelligence of predicting and monitoring a defecation event, improves detection efficiency and reduces labor cost.

Description

technical field [0001] The invention relates to the technical field of EEG signal identification, in particular to a method and system for early warning of excretion of urine and urine based on EEG signals. Background technique [0002] Since my country entered into an aging society in 1999, the aging of the population has accelerated. The elderly population has the characteristics of large scale and rapid growth, and is increasingly showing the trend of aging and disability. Excretion is the basic physiological need of the elderly, but because the elderly usually suffer from urinary system diseases, their urine and stool are often unable to control themselves, and once involuntary excretion occurs, it will cause great trouble to the elderly, not only to the The body of the elderly will cause harm, and it will also hurt the self-esteem of the elderly, and the cost of manual care will increase, and the cost of labor and time will be high. Therefore, a method that can early-wa...

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): A61B5/372
CPCA61B5/7235A61B5/7292
Inventor 韩越卢树强王晓岸
Owner 北京脑陆科技有限公司
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