Blood vessel mechanical signal analysis

• US 20160287092A1
• Filed: 04/01/2015
• Published: 10/06/2016
• Est. Priority Date: 04/01/2015
• Status: Active Grant

• Current Assignee: PixArt Imaging Incorporated
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Zhang, Hongxuan
• Granted Patent: US 10,327,648 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/02007 Evaluating blood vessel condition, e.g. elasticity, compliance
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/026 Measuring blood flow A61B3/1233, A61B3/1241 take precedence
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R

Abstract

Disclosed herein is a framework for facilitating patient signal analysis. In accordance with one aspect, the framework receives signal data including mechanical signal data, wherein the mechanical signal data is generated in response to mechanical contraction of blood vessels. A region of interest is segmented from the mechanical signal data. One or more mechanical signal ratios may be determined based on parameters extracted from the segmented region of interest to characterize waveform changes. A report may then be generated based at least in part on the one or more mechanical signal ratios.

Claims

1. A system for patient signal analysis, comprising:

a sensor system including one or more sensors that non-invasively acquire mechanical signal data from a patient, wherein the mechanical signal data is generated in response to mechanical contraction of blood vessels; and

a computer system communicatively coupled to the sensor system, wherein the computer system includes

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 including

segmenting a region of interest from the mechanical signal data;

determining one or more mechanical signal ratios based on parameters extracted from the segmented region of interest to characterize waveform changes; and

generating a report based at least in part on the one or more mechanical signal ratios.

2. The system of claim 1 wherein the sensor system is configured to be removably attachable to a wrist.

3. The system of claim 1 wherein the one or more sensors comprise a pulse vibration sensor and the mechanical signal data comprises vibration signal data.

4. The system of claim 1 wherein the one or more sensors comprise an acoustic sensor and the mechanical signal data comprises acoustic signal data.

5. The system of claim 1 wherein the one or more sensors comprise an optical sensor and the mechanical signal data comprises oximetric signal data.

6. The system of claim 1 wherein the sensor system further comprises an indicator that provides warning of a detected cardiac pathology.

7. A method of patient signal analysis, comprising:

receiving, from a sensor system, patient signal data including mechanical signal data, wherein the mechanical signal data is generated in response to mechanical contraction of blood vessels;

segmenting, by a processor device, a region of interest from the mechanical signal data;

determining, by the processor device, one or more mechanical signal ratios based on parameters extracted from the segmented region of interest to characterize waveform changes; and

generating, by the processor device, a report based at least in part on the one or more mechanical signal ratios.

8. The method of claim 7 wherein segmenting the region of interest comprises segmenting the region of interest in a time domain.

9. The method of claim 8 further comprising extracting time durations from the region of interest to generate the one or more mechanical signal ratios.

10. The method of claim 7 wherein segmenting the region of interest comprises segmenting the region of interest in a frequency domain.

11. The method of claim 10 further comprising extracting frequency ranges from the region of interest to generate the one or more mechanical signal ratios.

12. The method of claim 7 wherein determining the one or more mechanical signal ratios comprises determining a unipolar ratio that compares parameters extracted from portions in a same cardiac cycle.

13. The method of claim 7 wherein determining the one or more mechanical signal ratios comprises determining a bipolar ratio that compares parameters extracted from portions in different cardiac cycles.

14. The method of claim 13 wherein determining the one or more mechanical signal ratios comprises determining a mutual ratio that compares parameters extracted from same portions in different cardiac cycles.

15. The method of claim 13 wherein determining the one or more mechanical signal ratios comprises determining a cross ratio that compares parameters extracted from different portions in different cardiac cycles.

16. The method of claim 7 wherein determining the one or more mechanical signal ratios comprises determining a time ratio that compares time durations of portions of the region of interest.

17. The method of claim 7 wherein determining the one or more mechanical signal ratios comprises determining a time integration ratio or a time energy integration ratio that compares time domain magnitudes of portions of the region of interest.

18. The method of claim 7 wherein determining the one or more mechanical signal ratios comprises determining a dominant frequency ratio that compares dominant peak frequency values of portions of the region of interest.

19. The method of claim 7 wherein determining the one or more mechanical signal ratios comprises determining a frequency energy integration ratio that compares frequency spectral magnitudes of portions of the region of interest.

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 patient signal data including mechanical signal data, wherein the mechanical signal data is generated in response to mechanical contraction of blood vessels;

segmenting a region of interest from the mechanical signal data;

determining one or more mechanical signal ratios based on parameters extracted from the segmented region of interest to characterize waveform changes; and

generating a report based at least in part on the one or more mechanical signal ratios.