Patient signal analysis based on affine template matching

• US 20160220190A1
• Filed: 01/29/2015
• Published: 08/04/2016
• Est. Priority Date: 01/29/2015
• Status: Active Grant

• Current Assignee: Siemens Healthineers AG (Siemens AG)
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Zhang, Hongxuan
• Granted Patent: US 10,588,577 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02108 from analysis of pulse wave characteristics
• CPC Class Codes: A61B 5/026 Measuring blood flow A61B3/1233, A61B3/1241 take precedence
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7253 characterised by using transforms
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence

Abstract

Disclosed herein is a framework for facilitating patient signal analysis. In accordance with one aspect, the framework performs affine template matching of a region of interest from patient signal data with a baseline signal portion by performing an affine waveform transformation of the region of interest. One or more affine ratios may be determined based on the matched region of interest and the baseline signal portion for generating a report or diagnosis of a cardiac event.

Claims

1. A system for patient signal analysis, comprising:

a non-transitory memory device;

a processor device in communication with the memory device; and

a signal analysis unit stored in the memory device and operative with the processor device to perform steps including

receiving hemodynamic patient signal data acquired from a patient,

extracting a region of interest from the hemodynamic patient signal data,

performing affine template matching of the region of interest with a baseline signal portion by performing an affine waveform transformation of the region of interest,

determining one or more affine ratios based on the matched region of interest and the baseline signal portion, and

outputting a diagnosis of a cardiac event based at least in part on the one or more affine ratios.

2. The system of claim 1 wherein the hemodynamic patient signal data comprises blood pressure data, blood flow sound data, oximetric signal data or cardiac sound data.

3. A method of patient signal analysis, comprising:

receiving, from a patient monitor, patient signal data;

extracting, by a processor device, a region of interest from the patient signal data;

performing, by the processor device, affine template matching of the region of interest with a baseline signal portion by performing an affine waveform transformation of the region of interest;

determining, by the processor device, one or more affine ratios based on the matched region of interest and the baseline signal portion; and

outputting, by the processor device, a report based at least in part on the one or more affine ratios.

4. The method of claim 3 further comprising selecting the baseline signal portion from the patient signal data.

5. The method of claim 3 wherein performing the affine waveform transformation comprises stretching or shrinking a time duration of the region of interest.

6. The method of claim 3 wherein performing the affine waveform transformation comprises stretching or shrinking amplitudes of the region of interest to synchronize a first key point of the region of interest with a second said key point of the baseline signal portion.

7. The method of claim 6 wherein the first and second key points comprise a maximum amplitude point, a minimum amplitude point, a mean amplitude point, a peak amplitude point, an end-of-diastolic phase point or an end-of-systolic phase point.

8. The method of claim 3 wherein performing the affine waveform transformation comprises stretching or shrinking a time duration and amplitudes of the region of interest to synchronize a first key point of the region of interest with a second key point of the baseline signal portion.

9. The method of claim 3 wherein performing the affine waveform transformation comprises stretching or shrinking the region of interest until waveform areas under the region of interest and the baseline signal portion substantially match.

10. The method of claim 3 wherein determining the one or more affine ratios comprises determining an affine amplitude ratio based on amplitudes extracted from the baseline signal portion and the matched region of interest.

11. The method of claim 10 wherein the amplitudes are extracted from one or more waveform key points of the baseline signal portion and the matched region of interest.

12. The method of claim 11 wherein the one or more waveform key points comprise a maximum amplitude point, a mean amplitude point, a peak amplitude point, an end-of-diastolic phase point or an end-of-systolic phase point.

13. The method of claim 10 wherein the amplitudes are extracted from continuous waveform data points of the baseline signal portion and the matched region of interest.

14. The method of claim 3 wherein determining the one or more affine ratios comprises determining an affine timing ratio based on time durations extracted from the baseline signal portion and the matched region of interest.

15. The method of claim 3 wherein determining the one or more affine ratios comprises determining an affine shape morphology ratio based on time durations and amplitudes extracted from continuous data points of the baseline signal portion and the matched region of interest.

16. The method of claim 3 wherein determining the one or more affine ratios comprises determining an affine template key point based discrete summary ratio based on time durations and amplitudes extracted from key points of the baseline signal portion and matched region of interest.

17. The method of claim 3 wherein determining the one or more affine ratios comprises determining an affine template energy ratio based on areas covered by waveforms of the baseline signal portion and the matched region of interest.

18. The method of claim 3 further comprising combining multiple affine ratios by generating a summary ratio and outputting the report based on the summary ratio.

19. The method of claim 3 further comprising determining one or more statistical parameters based on multiple affine ratios and outputting the report based on the one or more statistical parameters.

20. 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, from a patient monitor, patient signal data;

extracting, by a processor device, a region of interest from the patient signal data;

performing, by the processor device, affine template matching of the region of interest with a baseline signal portion by performing an affine waveform transformation of the region of interest; and

determining, by the processor device, one or more affine ratios based on the matched region of interest and the baseline signal portion.