title: Evaluation of the respiratory muscular function by means of diaphragmatic mechanomyographic signals in COPD patients.
abstract: The study of mechanomyographic (MMG) signals of respiratory muscles is a promising technique in order to evaluate the respiratory muscular effort. In this work MMG signals from left and right hemidiaphragm (MMGl and MMGr, respectively) acquired during a respiratory protocol have been analyzed. The acquisition of both MMG signals was carried out by means of two capacitive accelerometers placed on both left and right sides of the costal wall. The signals were recorded in a group of six patients with Chronic Obstructive Pulmonary Disease (COPD). It has been observed that with the increase of inspiratory pressure it takes place an increase of the amplitude and a displacement toward low frequencies in both left and right MMG signals. Furthermore, it has been seen that the increase of amplitude and the decrease of frequency in MMG signals are more pronounced in severe COPD patients. This behaviour is similar for both MMGl and MMGr signals. Results suggest that the use of MMG signals could be potentially useful for the evaluation of the respiratory muscular function in COPD patients.
authors: Dept. ESAII, Universitat Politècnica de Catalunya, Institut de Bioenginyeria de Catalunya, Barcelona, Spain. leonardo.sarlabous@upc.edu
authors: Leonardo
authors: L
authors: Sarlabous
authors: Abel
authors: A
authors: Torres
authors: Jose A
authors: JA
authors: Fiz
authors: Joaquim
authors: J
authors: Gea
authors: Juana M
authors: JM
authors: Martinez-Llorens
authors: Raimon
authors: R
authors: Jane
mesh_terms: D000054:Acceleration; D000368:Aged; D000465:Algorithms; D001703:Biophysics / Q000379:methods; D003964:Diaphragm / Q000473:pathology*; D004576:Electromyography / Q000379:methods*; D006801:Humans; D008875:Middle Aged; D009119:Muscle Contraction / Q000502:physiology; D011312:Pressure; D029424:Pulmonary Disease, Chronic Obstructive / Q000175:diagnosis* / Q000503:physiopathology*; D012119:Respiration; D015656:Respiratory Mechanics / Q000502:physiology; D012132:Respiratory Muscles / Q000473:pathology*; D012815:Signal Processing, Computer-Assisted