Title :
Noninvasive measurement of inspiratory muscle performance by means of diaphragm muscle mechanomyographic signals in COPD patients during an incremental load respiratory test
Author :
Torres, Abel ; Sarlabous, Leonardo ; Fiz, José A. ; Gea, Joaquim ; Martínez-Llorens, Juana M. ; Morera, J. ; Jané, Raimon
Author_Institution :
Dept. ESAII, Univ. Politec. de Catalunya, Barcelona, Spain
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
The study of mechanomyographic (MMG) signals of respiratory muscles is a promising noninvasive technique in order to evaluate the respiratory muscular effort and efficiency. In this work, the MMG signal of the diaphragm muscle it is evaluated in order to assess the respiratory muscular function in Chronic Obstructive Pulmonary Disease (COPD) patients. The MMG signals from left and right hemidiaphragm were acquired using two capacitive accelerometers placed on both left and right sides of the costal wall surface. The MMG signals and the inspiratory pressure signal were acquired while the COPD patients carried out an inspiratory load respiratory test. The population of study is composed of a group of 6 patients with severe COPD (FEV1>50% ref and DLCO<;50% ref). We have found high positive correlation coefficients between the maximum inspiratory pressure (IPmax) developed in a respiratory cycle and different amplitude parameters of both left and right MMG signals (RMS, left: 0.68±0.11 - right: 0.69±0.12; Rényi entropy, left: - 0.73±0.10 - right: 0.77±0.08; Multistate Lempel-Ziv, left: 0.73±0.17 - right: 0.74±0.08), and negative correlation between the Pmax and the maximum frequency of the MMG signal spectrum (left: -0.39±0.19 - right: -0.65±0.09). Furthermore, we found that the slope of the evolution of the MMG amplitude parameters, as the load increases during the respiratory test, has positive correlation with the %FEV1/FVC pulmonary function test parameter of the six COPD patients analyzed (RMS, left: 0.38 - right: 0.41; Rényi entropy, left: 0.45 - right: 0.63; Multistate Lempel-Ziv, left: 0.39 - right: 0.64). These results suggest that the information provided by MMG signals could be used in order to evaluate the respiratory effort and the muscular efficiency in COPD patients.
Keywords :
accelerometers; biomechanics; biomedical measurement; diseases; medical signal processing; muscle; COPD patients; MMG signal spectrum; Rényi entropy; capacitive accelerometers; chronic obstructive pulmonary disease; costal wall surface; diaphragm muscle mechanomyographic signal; hemidiaphragm; incremental load respiratory test; inspiratory muscle performance; inspiratory pressure signal; maximum inspiratory pressure; mechanomyographic signals; noninvasive technique; respiratory cycle; respiratory muscles; respiratory muscular effort; respiratory muscular function; Correlation; Dogs; Electronic mail; Entropy; IP networks; Muscles; Protocols; Aged; Biomechanics; Diaphragm; Electromyography; Forced Expiratory Volume; Humans; Inhalation; Middle Aged; Pulmonary Disease, Chronic Obstructive; Reproducibility of Results; Respiration; Respiratory Function Tests; Respiratory Mechanics; Signal Processing, Computer-Assisted; Thoracic Wall;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626618