Cardiac Interference in Myographic Signals From Different Respiratory Muscles and Levels of Activity

An interesting approach to study pulmonary diseases is the analysis of the respiratory muscle activity by means of electromyographic (EMG) and vibromyographic (VMG) signals. However, both signals are contaminated by cardiac activity reflected in electrocardiographic and cardiac pulse signals, respec...

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Bibliographic Details
Main Authors: Mananas, M A, Romero, S, Topor, Z L, Bruce, E N, Houtz, P
Format: Report
Language:English
Subjects:
ADAPTIVE FILTERING
ADAPTIVE FILTERS
Anatomy and Physiology
CARDIAC ARREST
CARDIAC INTERFERENCE
CONTAMINATION
CT(CARDIAC INTERFERENCE)
DECOMPOSITION
ELECTRICAL EQUIPMENT
ELECTROMYOGRAPHIC SIGNALS
ELECTROMYOGRAPHY
FOREIGN REPORTS
HEART
INTERFERENCE
IR(INTERFERENCE RELATION)
LOW LEVEL
Medicine and Medical Research
MUSCLES
RESPIRATORY DISEASES
RESPIRATORY SYSTEM
SIGNAL TO NOISE RATIO
SINGULAR VALUE DECOMPOSITION
SPAIN
SYMPOSIA
TISSUES(BIOLOGY)
VENTILATION
VIBROMYOGRAPHIC SIGNALS
VIBROMYOGRAPHY
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Summary:An interesting approach to study pulmonary diseases is the analysis of the respiratory muscle activity by means of electromyographic (EMG) and vibromyographic (VMG) signals. However, both signals are contaminated by cardiac activity reflected in electrocardiographic and cardiac pulse signals, respectively. Adaptive filtering and Singular Value Decomposition techniques were applied to reduce cardiac interference (CI) in signals recorded from three respiratory muscles (genioglossus, sternomastoid and diaphragm) in 19 subjects breathing against progressively increased negative pressure. The parameter Interference Relation (IR) is presented and its reduction with filtering is highly correlated with signal to noise ratio. This correlation indicates that IR is a good index to evaluate the level of interference. The CI is highest at low levels of ventilation when the respiratory muscles are less active. Furthermore, the level of interference depends on the selected muscle: the most affected muscle is the diaphragm, then sternomastoid, and finally genioglossus. This order is preserved for both EMG and VMG signals. That indicates similar level of CI for signals reflecting electrical and mechanical muscle activity. The reduction of CI by means of the presented filtering techniques is shown by the parameter IR especially in EMG signals. Presented at Annual International Conference of the IEEE Engineering in Medicine and Biology Society (23rd) held in Istanbul, Turkey on 25-28 Oct 2001. See also ADM001351 for entire conference on CD-ROM., The original document contains color images. Prepared in cooperation with Laboratory of Respiratory Dynamics, Center for Biomedical Engineering, Univ. of Kentucky, KY.