Thermal patient signal analysis

• US 10,251,564 B2
• Filed: 03/31/2015
• Issued: 04/09/2019
• Est. Priority Date: 03/31/2015
• Status: Active Grant

• Current Assignee: PixArt Imaging Incorporated
• Original Assignee: Siemens Healthcare GMBH (Siemens AG)
• Inventors: Zhang, Hongxuan
• Primary Examiner(s): Nganga, Boniface
• Assistant Examiner(s): Kuo, Jonathan
• Application Number:
  US14/674,547
• Publication Number:
  US 20160287096A1
• Time in Patent Office: 1,470 Days
• Field of Search: 732025, 7320411, 374100-108, 600300-301, 600407-408, 600412, 600473-475, 600481, 600483, 600508, 600526-527
• CPC Class Codes: A61B 5/015 By temperature mapping of body part
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/029 Measuring or recording blood output from the heart, e.g. minute volume A61B8/065 takes precedence
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/6813 Specially adapted to be attached to a specific body part A61B5/6802 takes precedence
• CPC Class Codes: A61B 5/7285 for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal A61B6/5205, A61B6/541, A61B8/5207, A61B8/543 take precedence
• CPC Class Codes: A61M 2230/005 Parameter used as control input for the apparatus
• CPC Class Codes: A61M 2230/04 Heartbeat characteristics, e.g. ECG, blood pressure modulation
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: A61N 1/3655 controlled by body or blood temperature
• CPC Class Codes: A61N 1/3925 Monitoring; Protecting
• CPC Class Codes: A61N 1/403 for thermotherapy, e.g. hyperthermia

Abstract

Disclosed herein is a framework for facilitating thermal patient signal analysis. In accordance with one aspect, the framework receives patient signal data including thermal signal data. The framework then segments a region of interest from the thermal signal data. One or more cardiac output indices may be determined based on one or more parameters extracted from the segmented region of interest to characterize cardiac output or stroke volume. A report may then be generated based at least in part on the one or more cardiac output indices.

Claims

1. A system for patient signal analysis, comprising:

one or more thermal sensors that non-invasively acquire thermal signal data from a patient; and

a computer system communicatively coupled to the one or more thermal sensors, wherein the computer system includes

a non-transitory computer-readable media that stores computer readable program code, and

a processor in communication with the non-transitory computer-readable media, the processor being operative with the computer readable program code to perform steps including

synchronizing the thermal signal data with a blood pressure signal data,

segmenting, based on occurrence of one or more points on the synchronized blood pressure signal data, the thermal signal data into a region of interest and extracting one or more parameters from the region of interest,

repeatedly determining different types of cardiac output indices based on the one or more parameters, wherein each of the different types of cardiac output indices individually characterizes cardiac output or stroke volume,

linearly combining the different types of cardiac output indices to generate a final cardiac output index by determining a product of a ratio and a weighted sum of the cardiac output indices, wherein the ratio is dependent on a location of the one or more thermal sensors, and

controlling a treatment device by one or more control parameters based at least in part on the final cardiac output index.

2. The system of claim 1 wherein the one or more thermal sensors comprise an infrared heat-sensitive sensor, a temperature-sensitive impedance sensor, a chemical action temperature-sensitive heat sensor, a semiconductor temperature-sensitive sensor, or a combination thereof.

3. The system of claim 1, wherein the processor is further operative with the computer readable program code to repeatedly determine the cardiac output indices based on different calculation coefficients.

4. The system of claim 1 wherein the treatment device comprises an intravenous device, a pacing device, an implantable cardiac defibrillator system, a hyperthermia device, or a combination thereof.

5. The system of claim 1 further comprises an electrocardiogram sensor, a blood pressure sensor or an oximetric sensor communicatively coupled to the computer system.

6. The system of claim 1 wherein the one or more thermal sensors comprise different kinds of thermal sensors configured to be removably attached to different positions on the patient.

7. A method of patient signal analysis, comprising:

acquiring, by one or more thermal sensors, patient signal data including thermal signal data;

synchronizing the thermal signal data with blood pressure signal data;

segmenting, by a processor device, based on occurrence of one or more points on the synchronized blood pressure signal data, a region of interest from the thermal signal data;

repeatedly determining, by the processor device, different types of cardiac output indices based on parameters extracted from the segmented region of interest, wherein each of the different types of cardiac output indices individually characterizes cardiac output or stroke volume;

linearly combining the different types of cardiac output indices to generate a final cardiac output index by determining a product of a ratio and a weighted sum of the cardiac output indices, wherein the ratio is dependent on a location of the one or more thermal sensors; and

controlling, by the processor device, a treatment device by generating one or more control parameters based at least in part on the final cardiac output index.

8. The method of claim 7 further comprises simultaneously acquiring the thermal signal data with the blood pressure signal data.

9. The method of claim 7 further comprises simultaneously acquiring the thermal signal data and the blood pressure signal data with oximetric signal data.

10. The method of claim 7 wherein the one or more parameters extracted from the segmented region of interest comprise at least one of time duration, time length, waveform area, amplitude, amplitude range or a combination thereof.

11. The method of claim 7 wherein determining the cardiac output indices comprises determining an amplitude cardiac output index based on at least one temperature amplitude parameter.

12. The method of claim 11 wherein the at least one temperature amplitude parameter comprises a difference between a maximum amplitude and a minimum amplitude.

13. The method of claim 11 wherein the at least one temperature amplitude parameter comprises an average amplitude.

14. The method of claim 7 wherein determining the cardiac output indices comprises determining an amplitude range cardiac output index based on at least one temperature amplitude statistical parameter.

15. The method of claim 14 wherein the at least one temperature amplitude statistical parameter comprises an amplitude standard deviation.

16. The method of claim 7 wherein determining the cardiac output indices comprises determining a waveform area cardiac output index based on a temperature waveform area.

17. The method of claim 7 wherein determining the cardiac output indices comprises determining a time-based cardiac output index based on a time duration measured between time points corresponding to a particular temperature amplitude.

18. The method of claim 7 wherein determining the cardiac output indices comprises determining a delay timing cardiac output index based on a temperature gating parameter derived from another non-thermal signal data.

19. The method of claim 7 wherein determining the cardiac output indices comprises determining a variation cardiac output index based on thermal variation.

20. The method of claim 7 wherein determining the cardiac output indices comprises determining a dynamic change output index based on a thermal speed parameter.

21. The method of claim 7 wherein determining the cardiac output indices comprises determining a dynamic change output index based on a thermal acceleration parameter.

22. The method of claim 7 further comprising adaptively adjusting calculation coefficients that are used in determining the cardiac output indices based on further patient signal data.

23. The method of claim 22 wherein adaptively adjusting the calculation coefficients comprises integrating the determined cardiac output indices with the further patient signal data to generate the calculation coefficients.

24. The method of claim 7 wherein acquiring the patient signal data including the thermal signal data comprises acquiring, directly by a temperature acceleration sensor, temperature acceleration signal data and determining the cardiac output indices comprises deriving a dynamic change output index directly by calculating a difference between a maximum value and a minimum value of the temperature acceleration signal data.

25. 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 thermal signal data acquired by one or more thermal sensors and blood pressure signal data;

synchronizing the thermal signal data with the blood pressure signal data;

segmenting, based on occurrence of one or more points on the synchronized blood pressure signal data, a region of interest from the thermal signal data;

repeatedly determining different types of cardiac output indices based on one or more parameters extracted from the segmented region of interest, wherein each of the different types of cardiac output indices individually characterizes cardiac output or stroke volume;

linearly combining the different types of cardiac output indices to generate a final cardiac output index by determining a product of a ratio and a weighted sum of the cardiac output indices, wherein the ratio is dependent on a location of the one or more thermal sensors; and

controlling a treatment device by generating one or more control parameters based at least in part on the final cardiac output index.