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Restoration Methods of Respiratory Function for Spinal Cord Injury
- Source :
- Mathematical Problems in Engineering, Vol 2020 (2020)
- Publication Year :
- 2020
- Publisher :
- Hindawi Limited, 2020.
-
Abstract
- Respiratory dysfunction caused by high spinal cord injury is fatal damage. Three treatment methods commonly used in the clinic, diaphragm pacing, mechanical ventilation, and respiratory muscle training, were chosen to explain the respiratory function reconstruction of spinal cord injury. The characteristics, research status, advantages, and disadvantages of these three treatment methods are reviewed. Diaphragm pacing technology has attracted much attention due to its price-friendly, efficient, and closer to physiological respiration. Therefore, the emphasis is on describing the characteristics of the stimulation waveform of diaphragm pacing and the mathematical correspondence between stimulation parameters (pulse interval, inspiratory time, etc.) and tidal volume. Meanwhile, it also briefly introduces that for patients with SCI with poor diaphragm pacing, intercostal muscle pacing can be used as the second option to restore respiratory function. Also, the development of electronic technology has promoted the emergence of closed-loop diaphragm pacing technology. Finally, we propose that the method of respiratory function reconstruction after spinal cord injury should pay more attention to physiology and the safety of surgery.
- Subjects :
- 030506 rehabilitation
medicine.medical_specialty
General Mathematics
medicine.medical_treatment
03 medical and health sciences
0302 clinical medicine
Internal medicine
QA1-939
Medicine
Respiratory function
Spinal cord injury
Tidal volume
Mechanical ventilation
business.industry
Respiratory dysfunction
General Engineering
Treatment method
medicine.disease
Engineering (General). Civil engineering (General)
Diaphragm pacing
medicine.anatomical_structure
Cardiology
TA1-2040
0305 other medical science
business
030217 neurology & neurosurgery
Mathematics
Intercostal muscle
Subjects
Details
- Language :
- English
- ISSN :
- 15635147
- Volume :
- 2020
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....79dba9d73258ac74c999cf70c7a261cf