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

Intelligent wheelchair with health monitoring system

A health monitoring system and wheelchair technology, which can be used in patient chairs or special transportation tools, pulse rate/heart rate measurement, and vehicle rescue. and other problems, to achieve the effect of shortening the emergency time and realizing the family medical treatment.

Inactive Publication Date: 2017-07-21
湖北纪思智能科技有限公司
View PDF15 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the lack of medical personnel resources, labor costs and other reasons, smart wheelchairs have gradually become an important tool for the elderly or the disabled to take care of their daily activities, but these wheelchairs often only meet people's travel needs, or simply The function of health detection such as body temperature cannot achieve the purpose of long-term monitoring of the user's health status, and the degree of intelligence is low

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
  • Intelligent wheelchair with health monitoring system
  • Intelligent wheelchair with health monitoring system
  • Intelligent wheelchair with health monitoring system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] Such as figure 1 As shown, this embodiment provides a smart wheelchair with a health monitoring system, including a wheelchair main body, two handles, a processing module 3, a data detection module 4, a transmission module 5, a power supply module, a database storage module 6, and a user terminal 7 , a voice module 8, and a printing module 9, the power supply module is used to supply power to the intelligent wheelchair, and the power supply module is a rechargeable device.

[0036] The health monitoring system is realized based on the monitoring and feedback of blood pressure, heart rate, pulse and body temperature: the data detection module 4 includes a blood pressure and heart rate detection module 401, a body temperature detection module 402, and a pulse detection module 403; The blood pressure and heart rate detection module 401 on the back of the wheelchair main body detects, the pulse is detected by the pulse detection module 403 positioned on the handle, and the ...

Embodiment 2

[0041] This embodiment is basically the same as an intelligent wheelchair with a health monitoring system provided in the embodiment, the difference is that before using the intelligent wheelchair, the k-nearest neighbor algorithm is used to replace the support vector machine algorithm to train the processing module to achieve Common pathology pattern recognition purposes. The core of the k-nearest neighbor algorithm is that if most of the k nearest neighbor samples of a sample in the feature space belong to a certain category, then the sample also belongs to this category and has the characteristics of samples in this category.

[0042] After the processing module obtains the blood pressure, heart rate, pulse and body temperature characteristics of the existing common diseases, given a set of training samples, it screens out one or two common Illness, that is, it is judged as one or two of the most likely corresponding conventional diseases, because the k-nearest neighbor alg...

Embodiment 3

[0046] Such as figure 2 As shown, the pulse detection module 403 is located in the hand kit 202 on the upper surface of the handle 2. The hand kit 202 is specifically a finger kit. One end of the hand kit 202 is closed, and the other end is provided with a The upper end of the hand kit 202 is provided with a reminder light (not shown in the figure), and the light blinks when the pulse detection module 403 detects. There are two body temperature detection modules 402 , one is connected to the back of the wheelchair main body 1 , and the other is located at the bottom of the hand kit 202 . The blood pressure and heart rate detection module 401 includes a pressure sensor 401a, a servo pressurized air pump, and an electronically controlled exhaust valve. The pressure sensor 401a is installed in the armband 101 on the back of the wheelchair main body 1. The servo pressurized air pump and the electronic control The control exhaust valve device (not shown in the figure) is embedded...

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 intelligent wheelchair with a health monitoring system. A database storage module is obtained through a transmission module and stores blood pressure data, heat rate data, pulse data and body temperature data of existing common diseases. Before the intelligent wheelchair is used, the support vector machine algorithm or the k nearest neighbor algorithm is used for training a processing module, so that the processing module obtains the ability to match the blood pressure data, the heart rate data, the pulse data, and the body temperature data with the common diseases; when the training is completed, the support vector machine algorithm or the k nearest neighbor algorithm is used for processing four variables of the blood pressure, the heart rate, the pulse and the body temperature by the processing module, and then the current health status of a user and potential related diseases are known. According to the intelligent wheelchair with the health monitoring system, the support vector machine algorithm or the k nearest neighbor algorithm training module is used for training the processing module and performing pattern recognition; conventional diseases which are most likely to be corresponding to features are recognized by the pattern, wherein the features are combined by the four variables. Therefore, the disease analysis result of the user is obtained. As the auxiliary judgement of the user health status, the disease analysis result is also used as the preliminary basis for follow-up visits.

Description

technical field [0001] The invention relates to a wheelchair, in particular to an intelligent wheelchair with a health monitoring system. Background technique [0002] As our country gradually enters an aging society, the number of empty nesters is increasing year by year. In addition, there are a considerable number of disabled people with limited mobility, which leads to a rapid increase in the demand for medical personnel in our country. However, due to the lack of medical personnel resources, labor costs and other reasons, smart wheelchairs have gradually become an important tool for the elderly or the disabled to take care of their daily activities, but these wheelchairs often only meet people's travel needs, or simply Health detection functions such as body temperature cannot achieve the purpose of long-term monitoring of the user's health status, and the degree of intelligence is low. Contents of the invention [0003] Aiming at the deficiencies in the prior art, t...

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): A61G5/00A61G5/10A61B5/0205A61B5/00
CPCA61G5/00A61B5/02A61B5/02055A61B5/0225A61B5/024A61B5/6894A61B5/7235A61B5/7267A61G5/10A61G2203/10A61G2203/70
Inventor 张俊丽熊勇
Owner 湖北纪思智能科技有限公司
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