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Digital filtering with applications to electrocardiogram processing

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7 Author(s)
Weaver, C.S. ; Stanford University, Stanford, CA, USA ; Von Der Groeben, J. ; Mantey, P. ; Toole, J.
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The first part of this paper is a description of the design of low-pass, bandpass, high-pass, and notched filter difference equations using Z-transform techniques. The difference equation coefficient word lengths are significantly reduced by using a set of second-order difference equations. These equations have a form that minimizes computation. The second part of the paper contains applications of these filters to the processing of electrocardiograms (ECG). The filters are included as subroutines in a program that also includes an adaptive muscle-tremor filter, an "optimum" ECG estimator, and optimum estimators for the arrival time of various parts of the ECG waveform. Clinical results are presented.

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Audio and Electroacoustics, IEEE Transactions on  (Volume:16 ,  Issue: 3 )