Rehabilitation training system based on respiratory electromyographic signals

An electromyographic signal and rehabilitation training technology, applied in the field of rehabilitation training system based on respiratory electromyographic signal, can solve problems such as inability to identify patients

Active Publication Date: 2022-07-12
XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above-mentioned system for pulmonary rehabilitation training mainly monitors the exhaled gas volume of the patient. However, stroke patients with hemiplegia in bed have weak breathi

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] The invention provides a rehabilitation training system based on respiratory myoelectric signals, comprising: an abdominal muscle signal detection module, a chest muscle signal detection module and a resistance adding module.

[0030] The abdominal muscle signal detection module detects the electromyographic signal of the dynamic change of the diaphragm muscle of the patient located between the thoracic cavity and the abdominal cavity to obtain the electromyographic signal parameter of the dynamic change of the diaphragm muscle of the patient.

[0031] The chest muscle signal detection module collects the dynamic changes of the intercostal muscles between the two ribs based on the electromyographic signal parameters of the dynamic changes of the diaphragm acquired by the abdominal muscle signal detection module, and obtains the dynamic changes of the intercostal muscles. Electrical signal parameters to form a cooperative detection for abdominal breathing and expiratory a...

Embodiment approach

[0034] According to a preferred embodiment, the abdominal muscle signal detection module can indirectly or directly obtain the electromyographic signal of the diaphragm based on the pacemaker of the diaphragm or the electrode pads of the diaphragm. The chest muscle signal detection module can obtain the EMG signal of the intercostal muscle through the electrode pads disposed on the body surface at the position corresponding to the intercostal muscle.

[0035] According to a preferred embodiment, the doctor attaches the electrode sheet to the body surface of the patient. The doctor enters the command to turn on the system. The system prompts the patient to initiate an inhalation. The resistance adding module applies resistance to the upper abdomen of the patient according to the correction of the central calculation module. The abdominal muscle signal detection module detects the patient's diaphragm contraction. When the patient's diaphragmatic contraction is narrowed, the r...

Embodiment 2

[0042] This embodiment is a further improvement to Embodiment 1, and repeated content will not be repeated.

[0043] The system is provided with a first mode and a second mode. The system in the first mode state can monitor and collect the electromyographic signal of the diaphragm muscle and the electromyographic signal of the intercostal muscle of the patient in the resting state.

[0044]According to a preferred embodiment, the abdominal muscle signal detection module triggers the acquisition of the electromyographic signal parameters of the patient's diaphragm based on the patient being in the first preset scene. The chest muscle signal detection module triggers the acquisition of electromyographic signal parameters of the patient's intercostal muscle based on the patient being in the first preset scene. The central computing module generates the muscle strength assessment of the patient by combining the electromyographic signal parameters of the patient's diaphragm and th...

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 relates to a rehabilitation training system based on respiratory electromyographic signals, and the system comprises an abdominal muscle signal detection module which detects the dynamically changing electromyographic signals of the diaphragm between the thoracic cavity and the abdominal cavity of a patient to obtain the dynamically changing electromyographic signal parameters of the diaphragm of the patient; a chest muscle signal detection module, the signal acquisition module is used for performing signal acquisition on the dynamic change of the intercostal muscle between two ribs on the basis of the dynamically changing electromyographic signal parameters of the diaphragm acquired by the abdominal muscle signal detection module and acquiring the dynamically changing electromyographic signal parameters of the intercostal muscle so as to form collaborative detection for judging the abdominal respiration exhalation action; and the resistance increasing module responds to respiratory action detection of the abdominal muscle signal detection module and the chest muscle signal detection module to provide resistance for inspiration and provide assistance for expiration in respiratory training of the patient. By means of the system, the posture of breathing exercise of the patient can be monitored, and therefore the patient can conduct correct rehabilitation training.

Description

technical field [0001] The invention relates to the technical field of medical rehabilitation, in particular to a rehabilitation training system based on respiratory myoelectric signals. Background technique [0002] Cerebral stroke (Cerebral Stroke), also known as stroke, cerebrovascular accident (Cerebral Vascular Accident, CVA), is an acute cerebrovascular disease. Stroke is a group of diseases that damage brain tissue, including ischemic and hemorrhagic strokes, due to a sudden rupture of a blood vessel in the brain or a blockage of a blood vessel that prevents blood from flowing to the brain. Stroke patients with long-term hemiplegia or lateral hemiplegia not only have reduced limb strength, but also reduced respiratory muscle strength. In addition, longer bed rest and less activity can easily lead to complications such as pulmonary inflammation and dyspnea. Complications from long-term paralysis reduce the patient's quality of life. For the rehabilitation of stroke p...

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
IPC IPC(8): A63B21/00A63B23/18A63B24/00A63B71/06
CPCA63B23/18A63B24/0062A63B24/0087A63B71/06A63B21/00181A63B2230/605A63B2024/0093
Inventor 陈曦韩斌如陈婷张文婷李秋萍郝培育
Owner XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap