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Paralyzed patient multifunctional composite rehabilitation system based on big data channel

A multi-functional technology for paralyzed patients, applied in the input/output process of data processing, electrical digital data processing, application, etc., can solve problems such as unretrieved technical solutions for rehabilitation training, unable to consider patients' actual intentions and wishes, etc.

Inactive Publication Date: 2020-08-18
ZHENGZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Unfortunately, rehabilitation is an extremely painful process for paralyzed patients. Most rehabilitation equipment can only guide the patient's limbs through mechanical repetitive forced movements, without considering the patient's actual intention and willingness
The prior art has not retrieved a technical solution for rehabilitation training combined with EEG signal recognition

Method used

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  • Paralyzed patient multifunctional composite rehabilitation system based on big data channel
  • Paralyzed patient multifunctional composite rehabilitation system based on big data channel
  • Paralyzed patient multifunctional composite rehabilitation system based on big data channel

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Embodiment Construction

[0046] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention. Hereinafter, the invention will be further described with reference to the drawings and specific implementations.

[0047] Reference figure 1 , Is an overall architecture diagram of a multifunctional composite rehabilitation system for paralyzed patients based on a big data channel in an embodiment of the present invention.

[0048] in figure 1 In the embodiment, three limb sensors are included, and the three limb sensors respectively corres...

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Abstract

The invention provides a paralyzed patient multifunctional composite rehabilitation system based on a big data channel. The paralyzed patient multifunctional composite rehabilitation system comprisesa wearable device provided with a plurality of limb sensors and a brain-computer interface sensor. Each limb sensor comprises a supporting structure and a forced structure and the supporting structureand the forced structure each comprise a stress sensor. Each stress sensor is used for acquiring a supporting force detected by the supporting structure and / or a forced force detected by the forced structure; standard stress parameters are compared with the supporting force detected by the supporting structure and / or the forced force detected by the forced structure, wherein the supporting forceand / or the forced force are / is obtained by the stress sensor; according to the comparison result, the supporting force of the supporting structure and / or the forced force of the forced structure are / is adjusted, and therefore an accurate rehabilitation scheme can be given under the condition of complying with the will of a patient.

Description

Technical field [0001] The invention belongs to the technical field of intelligent rehabilitation, and in particular relates to a multifunctional composite rehabilitation system for paralyzed patients based on a big data channel. Background technique [0002] The brain is the nerve center of the human body, which controls and directs all activities such as the mental activity, the movement of the limbs and the production of sensations. Scientific research shows that when a person receives external stimuli (visual, auditory or tactile stimuli) or performs certain conscious activities, the nerve cells in the brain will produce weak electrical nerve signals, which are transmitted to the brain scalp and produce rhythms The characteristics of sex or spatial distribution. [0003] The number of disabled people worldwide due to natural disasters, safety accidents and diseases is increasing year by year. These people have lower limb injuries or spinal cord sclerosis, injuries and other di...

Claims

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Application Information

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IPC IPC(8): G16H20/30G06F3/01G06K9/00A61B5/0476A61B5/11A61B5/00
CPCG16H20/30G06F3/015A61B5/1118A61B5/6801A61B5/6843A61B5/7271A61B5/316A61B5/369G06V40/23
Inventor 梅永霞徐晖陈素艳张振香付忠荣李媛栾文艳刘凤任慧许梦雅
Owner ZHENGZHOU UNIV
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