CLASSIFYING A TIME-SERIES SIGNAL AS VENTRICULAR PREMATURE CONTRACTION AND VENTRICULAR TACHYCARDIA

摘要

What is disclosed is a system and method for classifying a time-series signal as being ventricular premature contraction, ventricular tachycardia, or normal sinus rhythm in a patient being monitored for cardiac function assessment. One embodiment hereof involves the following. A time-series signal is received which contains frequency components that relate to the function of the subject's heart. Signal segments of interest are identified in the time-series signal. Time-domain features, frequency-domain features, and non-linear cardiac dynamics are extracted from each of the identified signal segments of interest. The extracted features and dynamics become components of at least one feature vector associated with each respective signal segment of interest. Signal segments are then classified as one of: ventricular premature contraction, ventricular tachycardia, and normal sinus rhythm, based on each signal segment's respective feature vector(s).

主权项

1. A method for classifying a time-series signal as ventricular premature contraction, ventricular tachycardia, or normal sinus rhythm, in a patient being monitored for cardiac function assessment, the method comprising:
receiving a time-series signal containing frequency components which relate to a cardiac function of a subject being monitored for cardiac function assessment; identifying at least one signal segment of interest in said time-series signal; extracting time-domain features, frequency-domain features, and cardiac dynamics from each of said signal segments of interest; adding each of said extracted features and cardiac dynamics to at least one feature vector associated with each respective signal segment of interest; and classifying each of said signal segments as being one of: ventricular premature contraction, ventricular tachycardia, and normal sinus rhythm, based on each signal segment's respective feature vector.