Title :
Analyzing dynamic EMG and VMG signals of respiratory muscles
Author :
Mañanas, Miguel A. ; Fiz, José A. ; Morera, Josep ; Caminal, Pere
Author_Institution :
Centre de Recerca en Enginyeria Biomedica, Univ. Politecnica de Catalunya, Barcelona, Spain
Abstract :
A promising technique is described for evaluating ventilatory disease by studying activity and fatigue in the sternocleidomastoid muscle. We analyze dynamic muscular function in time and frequency domains during two respiratory load tests at different levels of ventilation.
Keywords :
Fourier transforms; electromyography; lung; medical signal processing; pneumodynamics; spectral analysis; time-frequency analysis; wavelet transforms; Choi-Williams distribution; Morlet wavelet; Wigner-Ville distribution; cross-correlation function; dynamic EMG signals; dynamic muscular function; inspiratory interval; muscle contraction; muscle fiber depolarization; respiratory load tests; respiratory muscles; scalogram; short-time Fourier transform; spectrogram; stationarity analysis; sternocleidomastoid muscle; surface electromyographic signals; time-frequency analysis; ventilatory disease; vibromyographic signals; Biomedical measurements; Diseases; Electromyography; Fatigue; Frequency; Instruments; Muscles; Pressure measurement; Signal analysis; Testing; Aged; Chronic Disease; Electromyography; Exertion; Forced Expiratory Volume; Humans; Male; Middle Aged; Models, Statistical; Muscle Fatigue; Pulmonary Disease, Chronic Obstructive; Reproducibility of Results; Respiratory Function Tests; Respiratory Muscles; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Statistics as Topic; Stochastic Processes; Vibration;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
