Patient signal analysis and characterization based on late potentials
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.
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.
2. A system for patient signal analysis, comprising:
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.
3. The system of claim 2 wherein the patient signal data comprises electrophysiological signal data that indicate electrical activity of a patient's heart over multiple cardiac cycles.
4. The system of claim 2 wherein the at least two regions of interest comprises an ST segment or ST signal portion.
5. The system of claim 2 wherein the late potential region of interest comprises an RS signal portion that characterizes late depolarization of the cycle.
6. The system of claim 2 , wherein the processor is further operative with the computer readable program code to decompose the at least two regions of interest in time domain into a time signal area associated with a timing duration.
7. The system of claim 6 , wherein the processor is further operative with the computer readable program code to decompose the at least two regions of interest in frequency domain into a frequency signal area associated with a frequency bandwidth.
8. The system of claim 7 wherein the patient signal parameter comprises a time-frequency area ratio of the regions of interest.
9. The system of claim 2 , wherein the processor is operative with the computer readable program code to determine the pathology or event by combining, via an artificial neural network, the determined patient signal parameter with other input patient data.
10. The system of claim 2 , wherein the processor is further operative with the computer readable program code to adaptively adjust one or more calculation parameters based on the determined patient signal parameter.
11. The system of claim 2 , wherein the processor is further operative with the computer readable program code to adaptively adjust one or more treatment control parameters of a medical device based on the determined patient signal parameter.
12. A system for patient signal analysis, comprising:
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.
13. A system for patient signal analysis, comprising:
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.
14. A system for patient signal analysis, comprising:
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.
15. A system for patient signal analysis, comprising:
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.
16. The system of claim 15 wherein the regions of interest comprise an RS signal portion and an ST signal portion.
17. A system for patient signal analysis, comprising:
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.
18. The system of claim 17 wherein the regions of interest comprise an RS signal portion and an ST signal portion.
19. A system for patient signal analysis, comprising:
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.
20. A system for patient signal analysis, comprising:
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.
21. A method of patient signal analysis, 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.