Literature DB >> 21096168

Noninvasive measurement of inspiratory muscle performance by means of diaphragm muscle mechanomyographic signals in COPD patients during an incremental load respiratory test.

Abel Torres1, Leonardo Sarlabous, Jose A Fiz, Joaquim Gea, Juana M Martinez-Llorens, J Morera, Raimon Jane.   

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.

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Year:  2010        PMID: 21096168     DOI: 10.1109/IEMBS.2010.5626618

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  4 in total

1.  Coordination of respiratory muscles assessed by means of nonlinear forecasting of demodulated myographic signals.

Authors:  Joan F Alonso; Miguel A Mañanas; Mónica Rojas; Eugene N Bruce
Journal:  J Electromyogr Kinesiol       Date:  2011-08-06       Impact factor: 2.368

2.  COPD Patients Have a Restricted Breathing Pattern That Persists with Increased Metabolic Demands.

Authors:  Jennifer M Yentes; Farahnaz Fallahtafti; William Denton; Stephen I Rennard
Journal:  COPD       Date:  2020-04-17       Impact factor: 2.409

Review 3.  Entropy change of biological dynamics in COPD.

Authors:  Yu Jin; Chang Chen; Zhixin Cao; Baoqing Sun; Iek Long Lo; Tzu-Ming Liu; Jun Zheng; Shixue Sun; Yan Shi; Xiaohua Douglas Zhang
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2017-10-12

4.  Multi-Functional Soft Strain Sensors for Wearable Physiological Monitoring.

Authors:  Josie Hughes; Fumiya Iida
Journal:  Sensors (Basel)       Date:  2018-11-08       Impact factor: 3.576

  4 in total

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