Patient signal analysis and characterization based on late potentials

摘要

Disclosed herein is a framework for facilitating patient signal analysis. In accordance with one aspect, patient signal data including at least one identified cycle is segmented into at least two regions of interest, including a late potential region of interest. The late potential region of interest may be an RS, RT, S-full or T-full signal portion. At least one patient signal parameter is determined based at least in part on the segmented regions of interest. A pathology or event may be detected based on the determined patient signal parameter.

主权项

1. A non-transitory computer readable medium embodying a program of instructions executable by machine to perform steps for patient signal analysis, the steps comprising:
receiving patient signal data including at least one identified cardiac cycle; segmenting the cardiac cycle into at least two regions of interest, wherein at least one of the at least two regions of interest is a late potential region of interest; decomposing the at least two regions of interest in time and frequency domains to generate time and frequency signal areas; determining at least one patient signal parameter based at least in part on the regions of interest or signal areas; and detecting a cardiac pathology or event based on the determined at least one patient signal parameter.