METHOD FOR ASSESSING PATIENT RISK FOR VENTRICULAR TACHYCARDIA

摘要

What is disclosed is a system and method for assessing risk for ventricular tachycardia from a time-series signal of a patient monitored for cardiac function assessment. One embodiment involves receiving a time-series signal 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 are extracted for each signal segment of interest. The time-domain features are arranged into a two dimensional feature vector. Each feature vector is associated with a respective signal segment. A magnitude of each signal segment's respective feature vector is determined. Signal segments are classified as being ventricular premature contraction based on each segment's associated magnitude. If at least three consecutive signal segments or at least three consecutive portions of the same signal segment have been classified as ventricular premature contraction, then the subject's risk of a ventricular tachycardia is assessed as elevated.

主权项

1. A method for assessing risk for ventricular tachycardia from a time-series signal of 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, said signal segments having a fixed length; extracting time-domain features from each of said identified signal segments of interest, said features comprising peak-to-peak interval between cardiac pulses and pulse amplitude, said extracted features being represented by at least one two dimensional feature vector, each of said feature vectors being associated with a respective signal segment; determining a magnitude of each of said two dimensional feature vectors; classifying signal segments of interest as being ventricular premature contraction based on a magnitude of said segment's respective associated feature vectors; and in response to at least three consecutive signal segments being classified as being ventricular premature contraction, determining that said subject's risk of a ventricular tachycardia is elevated.