A nonlinear model for estimating respiratory volume based on thoracoabdominal breathing movements.
Summary of "A nonlinear model for estimating respiratory volume based on thoracoabdominal breathing movements."
SUMMARY AT A
GLANCE:
The reliability of nonlinear models compared with routine linear methods for estimation of respiratory volume, based on thoracoabdominal breathing movements, was evaluated. Nonlinear models accurately predicted respiratory volume during normal and asynchronous breathing, and may be useful during prolonged respiratory monitoring.
ABSTRACT:
Background and objective: Respiratory inductive plethysmography (RIP) is a non-invasive technique for measuring respiratory function. However, there are challenges associated with using linear methods for calibration of RIP. In this study, we developed two nonlinear models, artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS), to estimate respiratory volume based on thoracoabdominal movements, and compared these models with routine linear approaches, including qualitative diagnostic calibration (QDC) and multiple linear regression (MLR). Methods: Recordings of spirometry (SP) volume and RIP were obtained for 10 normal subjects and 10 asthmatic patients, during asynchronous breathing for seven minutes. The first five minutes of recording were used to develop the models; the remaining data was used for subsequent validation of the results. Results: The results from the nonlinear models fitted the SP volume curve significantly better than those obtained by linear methods, particularly during asynchrony (P <0.05). On a breath-by-breath analysis, estimates of tidal volume, total cycle time, and sigh values using the ANN model were accurate by comparison with QDC. In contrast to the ANN model, there was a significant correlation between values for thoracoabdominal asynchrony and increased error of QDC (P <0.05). Conclusions: These results indicate that the nonlinear methods can be adapted to closely simulate variable conditions and used to study the patterns of volume changes during normal and asynchronous breathing. © 2012 The Authors. Respirology © 2012 Asian Pacific Society of Respirology.
Affiliation
Department of Physiology, School of Medical Sciences, Tarbiat Modares University, Tehran, Neuromuscular Systems Laboratory, Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran, Department of Medicine, UCL Medical School, UC
Journal Details
This article was published in the following journal.
Name: Respirology (Carlton, Vic.)
ISSN: 1440-1843
Pages:
Links
- PubMed Source: http://www.ncbi.nlm.nih.gov/pubmed/22897148
- DOI: http://dx.doi.org/10.1111/j.1440-1843.2012.02251.x
Medical and Biotech [MESH] Definitions
Respiratory Mechanics
The physical or mechanical action of the LUNGS; DIAPHRAGM; RIBS; and CHEST WALL during respiration. It includes airflow, lung volume, neural and reflex controls, mechanoreceptors, breathing patterns, etc.
Tidal Volume
The volume of air inspired or expired during each normal, quiet respiratory cycle. Common abbreviations are TV or V with subscript T.
Respiratory Aspiration
Breathing in liquid or solids, such as stomach contents, into the RESPIRATORY TRACT. When this causes severe lung damage, it is called ASPIRATION PNEUMONIA.
Respiration, Artificial
Any method of artificial breathing that employs mechanical or non-mechanical means to force the air into and out of the lungs. Artificial respiration or ventilation is used in individuals who have stopped breathing or have RESPIRATORY INSUFFICIENCY to increase their intake of oxygen (O2) and excretion of carbon dioxide (CO2).
Respiratory-gated Imaging Techniques
Timing the acquisition of imaging data to specific points in the breathing cycle to minimize image blurring and other motion artifacts. The images are used diagnostically and also interventionally to coordinate radiation treatment beam on/off cycles to protect healthy tissues when they move into the beam field during different times in the breathing cycle.
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