Title :
Cardiogenic artifact cancellation in apnea monitoring
Author :
Luo, Shen ; Tompkins, Willis J. ; Webster, John G.
Author_Institution :
Burdick Inc., Milton, WI, USA
Abstract :
Removing cardiogenic artifact from ventilation signals is important for improving the reliability of apnea monitors. In this study, we analyzed signal models for impedance ventilation and ECG measurements and developed a special adaptive filter system to demodulate respiratory influence on the ECG. The results show that the system can successfully cancel cardiogenic artifact in impedance pneumography
Keywords :
adaptive filters; adaptive signal processing; biomedical measurement; electric impedance measurement; electrocardiography; medical signal processing; patient monitoring; pneumodynamics; ECG measurements; apnea monitoring; cardiogenic artifact cancellation; impedance pneumography; impedance ventilation; reliability; respiratory influence; signal models; special adaptive filter system; ventilation signals; Adaptive filters; Cardiology; Electrocardiography; Electrodes; Heart; Impedance measurement; Monitoring; Surface impedance; Ventilation; Voltage;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415237