Title :
Analysis of Total Lung Compliance in Spontaneously Breathing Patients with the Adaptive Time Slice Method
Author :
Zhao, Zhanqi ; Möller, Knut ; Eger, Marcus ; Handzsuj, Thomas
Author_Institution :
Dept. of Biomed. Eng., Furtwangen Univ., Villingen-Schwenningen, Germany
Abstract :
Purpose: To date, few methods have been accepted for clinical use to evaluate the respiratory system compliance (Crs) in spontaneously breathing patients at the bedside. The aim of this study was to introduce our adaptive time slice method (ATSM) to continuously calculate the Crs. Methods: One breathing cycle is divided into several slices along the time axis. For each slice, a least-square-fit based on the first order equation of motion is applied to calculate a slice-specific compliance value Ci and an intercept. The slice width is determined according to the confidence interval of Ci. At the end, after all Ci values are obtained and the outliers are eliminated, the Crs of this breathing cycle is calculated as the mean value of the Ci. Two spontaneously breathing patients with Chronic Obstructive Pulmonary Disease were included for this preliminary evaluation. The results are compared with the values calculated with the esophageal pressure (Pes). The compliance measured during controlled mechanical ventilation (CMV) with interrupt technique was used as reference. Results: The intercept calculated with the ATSM can be used to depict the pressure generated by respiratory muscles to some extent. No significant differences in the results were observed between the ATSM method (38.07±3.60 ml/mbar, first patient; 27.71±5.11 ml/mbar, second patient) and the method with Pes (38.20±2.81 ml/mbar, first patient; 27.22±4.71 ml/mbar, second patient), while the compliance values during CMV are 22 ml/mbar (first patient) and 30 ml/mbar (second patient). Conclusions: The ATSM is a robust method and may be able to provide accurate Crs in spontaneously breathing patients without applying invasive and complicated maneuvers.
Keywords :
biomedical equipment; diseases; lung; patient care; pneumodynamics; adaptive time slice method; breathing cycle; chronic obstructive pulmonary disease; controlled mechanical ventilation; esophageal pressure; first order equation of motion; least-square fit; respiratory muscles; respiratory system compliance; spontaneously breathing patients; total lung compliance; Biomedical engineering; Biomedical measurements; Diseases; Equations; Esophagus; Lungs; Muscles; Phasor measurement units; Respiratory system; Ventilation;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5516380