English
资源说明：This communication proposes a method called linear prediction (a high performant technique in digital speech processing) for
analyzing digital ECG signals. There ape several significant properties
indicating that ECG signals have an important feature in the residual
error signal obtained after processing by Durhin’s linear prediction
algorithm. This communication also indicates that the prediction order
need not he more than two for fast arrhythmia detection. The ECG
signal classification puts an emphasis on the residual error signal. For
each ECG’s QRS complex, the feature for recognition is obtained from
a nonlinear transformation which transforms every residual error signal to a set of three states pulse-code train relative to the original ECG
signal. The pulse-code train has the advantage of easy implementation
in digital hardware circuits to achieve automated ECG diagnosis. The
algorithm performs very well in feature extraction in arrhythmia detection. Using this method, our studies indicat that the PVC (premature ventricular contraction) detection has at least a 92 percent sensitivity for MIT/BIH arrhythmia database.
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