Journal article
Optimization and mechanism of step–leap respiration exercise in treating of cor pulmonale
Computers in biology and medicine, v 28(3), pp 289-307
1998
PMID: 9784965
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The interaction between cardiovascular system and the respiratory system is complicated and may be used for the rehabilitation of the cor pulmonale disease. To study the effects of different breathing mode on the cardiac and pulmonary systems, a mathematical model is established based on the previous work. Using this model, computer simulation experiments are carried out for searching an optimal respiration mode in treating of cor pulmonale disease. Results indicate that the step–leap respiration mode could provide a better assistant to the rehabilitation of the cor pulmonale patients in the sense of increasing coronary flow, reducing pulmonary arterial pressure and reducing the working load for the right heart. This result is also proven by the clinical experiments. This work may suggest that a proper directed respiration exercise can be used in the treatment of cor pulmonale disease.
Metrics
Details
- Title
- Optimization and mechanism of step–leap respiration exercise in treating of cor pulmonale
- Creators
- Jing Bai - Tsinghua UniversityHongli Lu - Tsinghua UniversityJupeng Zhang - Tsinghua UniversityBing Zhao - Tsinghua UniversityXiaoqiang Zhou - Tsinghua UniversityJing Zhang - Information Science (Informatics)
- Publication Details
- Computers in biology and medicine, v 28(3), pp 289-307
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000076016900007
- Scopus ID
- 2-s2.0-0031697237
- Other Identifier
- 991019173433104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biology
- Computer Science, Interdisciplinary Applications
- Engineering, Biomedical
- Mathematical & Computational Biology