首页> 外文会议>32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Noninvasive measurement of inspiratory muscle performance by means of diaphragm muscle mechanomyographic signals in COPD patients during an incremental load respiratory test
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Noninvasive measurement of inspiratory muscle performance by means of diaphragm muscle mechanomyographic signals in COPD patients during an incremental load respiratory test

机译:在递增负荷呼吸试验中通过COPD患者的diaphragm肌肌电图信号对吸气肌功能进行无创测量

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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.
机译:为了评估呼吸肌的努力和效率,对呼吸肌的机械视觉(MMG)信号的研究是一种很有前途的无创技术。在这项工作中,评估了diaphragm肌的MMG信号,以评估慢性阻塞性肺疾病(COPD)患者的呼吸肌功能。来自左右两侧right肌的MMG信号是使用两个放置在肋壁表面左右两侧的电容式加速度计获得的。在COPD患者进行吸气负荷呼吸测试时,获取了MMG信号和吸气压力信号。研究人群由一组6例严重COPD(FEV1> 50%ref和DLCO <50%ref)的患者组成。我们发现在呼吸循环中产生的最大吸气压力(IPmax)与左右MMG信号的不同幅度参数之间存在较高的正相关系数(RMS,左:0.68±0.11-右:0.69±0.12;Rényi熵,左:0.73±0.10-右:0.77±0.08;多状态Lempel-Ziv,左:0.73±0.17-右:0.74±0.08),Pmax与MMG信号频谱的最大频率之间呈负相关(左:-0.39± 0.19-右:-0.65±0.09)。此外,我们发现,随着呼吸测试过程中负荷的增加,MMG振幅参数的演变斜率与所分析的六名COPD患者的%FEV1 / FVC肺功能测试参数呈正相关(RMS,左:0.38 -右侧:0.41;Rényi熵,左侧:0.45-右侧:0.63;多状态Lempel-Ziv,左侧:0.39-右侧:0.64)。这些结果表明,MMG信号提供的信息可用于评估COPD患者的呼吸努力和肌肉效率。

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