DocumentCode :
2500365
Title :
Seismocardiography: waveform identification and noise analysis
Author :
Zanetti, J.M. ; Poliac, M.O. ; Crow, R.S.
Author_Institution :
Seismed Instruments Inc., Minnesota Univ., Minneapolis, MN, USA
fYear :
1991
fDate :
23-26 Sep 1991
Firstpage :
49
Lastpage :
52
Abstract :
The seismocardiogram (SCG) provides a convenient and reliable measure of left ventricular systolic and diastolic performance both at rest and immediately after exercise. An effective means has been developed to eliminate noise artifacts such as coughing, talking, and patient movement prior to any waveform averaging scheme. A computer algorithm has been developed to identify the significant points on the SCG waveform automatically. It accurately detects the mitral valve closure (MC), aortic valve opening (AO), onset of rapid ejection (RE), aortic valve closure (AC), mitral valve opening (MO), and the peak of rapid ventricular filling (RF) points, which allows for an automated method of calculating various quantitative indices off left ventricular systolic and diastolic performance
Keywords :
biomechanics; biomedical measurement; cardiology; noise; aortic valve closure; aortic valve opening; computer algorithm; coughing; diastolic performance; left ventricular performance; mitral valve closure; mitral valve opening; noise analysis; noise artifacts; patient movement; precordial acceleration; quantitative indices; rapid ejection; rapid ventricular filling; seismocardiogram; significant points identification; systolic performance; talking; waveform identification; Acceleration; Accelerometers; Electrocardiography; Heart; Instruments; Radiofrequency identification; Seismic measurements; Signal processing; Transducers; Valves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 1991, Proceedings.
Conference_Location :
Venice
Print_ISBN :
0-8186-2485-X
Type :
conf
DOI :
10.1109/CIC.1991.169042
Filename :
169042
Link To Document :
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