Patient signal analysis and characterization based on late potentials
First Claim
Patent Images
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.
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Abstract
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.
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Citations
21 Claims
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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:
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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.
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2. A system for patient signal analysis, comprising:
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a non-transitory memory device for storing computer readable program code; and a processor in communication with the memory device, the processor being operative with the computer readable program code to perform steps comprising; receiving patient signal data including at least one identified cycle; segmenting the cycle into at least two regions of interest including a late potential region of interest, wherein the late potential region of interest is an RS, RT, S-full or T-full signal portion, and wherein the at least two regions of interest comprise different late potential regions of interest; determining at least one patient signal parameter based at least in part on the segmented regions of interest; and detecting a pathology or event based on the determined at least one patient signal parameter. - View Dependent Claims (3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system for patient signal analysis, comprising:
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a non-transitory memory device for storing computer readable program code; and a processor in communication with the memory device, the processor being operative with the computer readable program code to perform steps comprising; receiving patient signal data including at least one identified cycle; segmenting the cycle into at least two regions of interest including a late potential region of interest, wherein the late potential region of interest comprises an RT signal portion that is defined from a peak time of ventricular depolarization of the cycle to a peak time of ventricular repolarization of the cycle; determining at least one patient signal parameter based at least in part on the segmented regions of interest; and detecting a pathology or event based on the determined at least one patient signal parameter.
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13. A system for patient signal analysis, comprising:
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a non-transitory memory device for storing computer readable program code; and a processor in communication with the memory device, the processor being operative with the computer readable program code to perform steps comprising; receiving patient signal data including at least one identified cycle; segmenting the cycle into at least two regions of interest including a late potential region of interest, wherein the late potential region of interest comprises an S-full signal portion that characterizes functional full ventricular repolarization and later potentials of the cycle including a U wave; determining at least one patient signal parameter based at least in part on the segmented regions of interest; and detecting a pathology or event based on the determined at least one patient signal parameter.
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14. A system for patient signal analysis, comprising:
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a non-transitory memory device for storing computer readable program code; and a processor in communication with the memory device, the processor being operative with the computer readable program code to perform steps comprising; receiving patient signal data including at least one identified cycle; segmenting the cycle into at least two regions of interest including a late potential region of interest, wherein the late potential region of interest comprises a T-full signal portion that characterizes functional full repolarization and later potentials of the cycle including a U wave; determining at least one patient signal parameter based at least in part on the segmented regions of interest; and detecting a pathology or event based on the determined at least one patient signal parameter.
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15. A system for patient signal analysis, comprising:
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a non-transitory memory device for storing computer readable program code; and a processor in communication with the memory device, the processor being operative with the computer readable program code to perform steps comprising; receiving patient signal data including at least one identified cycle; segmenting the cycle into at least two regions of interest including a late potential region of interest, wherein the late potential region of interest is an RS, RT, S-full or T-full signal portion; determining at least one patient signal parameter based at least in part on the segmented regions of interest; and detecting a pathology or event based on the determined at least one patient signal parameter, wherein the patient signal parameter comprises a timing ratio of the regions of interest. - View Dependent Claims (16)
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17. A system for patient signal analysis, comprising:
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a non-transitory memory device for storing computer readable program code; and a processor in communication with the memory device, the processor being operative with the computer readable program code to perform steps comprising; receiving patient signal data including at least one identified cycle; segmenting the cycle into at least two regions of interest including a late potential region of interest, wherein the late potential region of interest is an RS, RT, S-full or T-full signal portion; determining at least one patient signal parameter based at least in part on the segmented regions of interest; and detecting a pathology or event based on the determined at least one patient signal parameter, wherein the patient signal parameter comprises an integrated amplitude ratio of the regions of interest. - View Dependent Claims (18)
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19. A system for patient signal analysis, comprising:
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a non-transitory memory device for storing computer readable program code; and a processor in communication with the memory device, the processor being operative with the computer readable program code to perform steps comprising; receiving patient signal data including at least one identified cycle; segmenting the cycle into at least two regions of interest including a late potential region of interest, wherein the late potential region of interest is an RS, RT, S-full or T-full signal portion; determining at least one patient signal parameter based at least in part on the segmented regions of interest and by determining a timing ratio and an integrated amplitude ratio of the regions of interest; and detecting a pathology or event based on the determined at least one patient signal parameter.
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20. A system for patient signal analysis, comprising:
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a non-transitory memory device for storing computer readable program code; and a processor in communication with the memory device, the processor being operative with the computer readable program code to perform steps comprising; receiving patient signal data including at least one identified cycle; segmenting the cycle into at least two regions of interest including a late potential region of interest, wherein the late potential region of interest is an RS, RT, S-full or T-full signal portion; determining at least one patient signal parameter based at least in part on the segmented regions of interest; and detecting a pathology or event based on the determined at least one patient signal parameter, wherein the patient signal parameter comprises an integrated energy ratio of the regions of interest.
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21. A method of patient signal analysis, comprising:
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receiving patient signal data including at least one identified cycle; segmenting the cycle into at least two regions of interest including a late potential region of interest, wherein the late potential region of interest is an RS, RT, S-full or T-full signal portion, and wherein the at least two regions of interest comprise different late potential regions of interest; determining at least one patient signal parameter based at least in part on the segmented regions of interest; and detecting a pathology or event based on the determined at least one patient signal parameter.
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Specification