Assessment of Inspiratory Muscle Activation using Surface Diaphragm Mechanomyography and Crural Diaphragm Electromyography

The relationship between surface diaphragm mechanomyography (sMMGdi), as a noninvasive measure of inspiratory muscle mechanical activation, and crural diaphragm electromyography (oesEMGdi), as the invasive gold standard measure of diaphragm electrical activation, had not previously been examined. To investigate this relationship, oesEMGdi and sMMGdi were measured simultaneously in 6 healthy subjects during an incremental inspiratory threshold loading protocol, and analyzed using fixed sample entropy (fSampEn). A positive curvilinear relationship was observed between mean fSampEn sMMGdi and oesEMGdi (r = 0.67). Accordingly, an increasing electromechanical ratio was also observed with increasing inspiratory load. These findings suggest that sMMGdi could provide useful noninvasive measures of inspiratory muscle mechanical activation.

[1]  Raimon Jané,et al.  Improvement in Neural Respiratory Drive Estimation From Diaphragm Electromyographic Signals Using Fixed Sample Entropy , 2016, IEEE Journal of Biomedical and Health Informatics.

[2]  D. Hillman,et al.  Ventilatory responses to inspiratory threshold loading and role of muscle fatigue in task failure. , 1994, Journal of applied physiology.

[3]  Raimon Jané,et al.  Evidence towards Improved Estimation of Respiratory Muscle Effort from Diaphragm Mechanomyographic Signals with Cardiac Vibration Interference Using Sample Entropy with Fixed Tolerance Values , 2014, PloS one.

[4]  John Moxham,et al.  Neural respiratory drive measured during inspiratory threshold loading and acute hypercapnia in healthy individuals , 2013, Experimental physiology.

[5]  Raimon Jané,et al.  Efficiency of mechanical activation of inspiratory muscles in COPD using sample entropy , 2015, European Respiratory Journal.

[6]  J Moxham,et al.  Neural respiratory drive in healthy subjects and in COPD , 2008, European Respiratory Journal.

[7]  Raimon Jané,et al.  Influence of Parameter Selection in Fixed Sample Entropy of Surface Diaphragm Electromyography for Estimating Respiratory Activity , 2017, Entropy.

[8]  J. Richman,et al.  Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.

[9]  M. Tobin,et al.  Diaphragmatic neuromechanical coupling and mechanisms of hypercapnia during inspiratory loading , 2014, Respiratory Physiology & Neurobiology.

[10]  T. Sears,et al.  Mechanics of the human diaphragm during voluntary contraction: statics. , 1978, Journal of applied physiology: respiratory, environmental and exercise physiology.

[11]  John Moxham,et al.  Diaphragm electromyography using an oesophageal catheter: current concepts. , 2008, Clinical science.

[12]  L. Lindstrom,et al.  Effects of lung volume on diaphragm EMG signal strength during voluntary contractions. , 1998, Journal of applied physiology.

[13]  Bhajan Singh,et al.  Human diaphragm efficiency estimated as power output relative to activation increases with hypercapnic hyperpnea. , 2009, Journal of applied physiology.

[14]  J. Sharp,et al.  Electrical and mechanical activity of the diaphragm accompanying body position in severe chronic obstructive pulmonary disease. , 2015, The American review of respiratory disease.