Method and system to identify motion data associated with consistent electrical and mechanical behavior for a region of interest

• US 9,814,406 B2
• Filed: 09/05/2014
• Issued: 11/14/2017
• Est. Priority Date: 11/19/2013
• Status: Active Grant

• Current Assignee: Pacesetter Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Pacesetter Incorporated (Abbott Laboratories Incorporated)
• Inventors: Razavi, Hoda, Qu, Fujian, Ryu, Kyungmoo, Nabutovsky, Yelena
• Primary Examiner(s): Koharski, Christopher D
• Assistant Examiner(s): Patel, Natasha
• Application Number:
  US14/478,707
• Publication Number:
  US 20150141765A1
• Time in Patent Office: 1,166 Days
• CPC Class Codes: A61B 2034/2051 Electromagnetic tracking systems
• CPC Class Codes: A61B 5/1102 Ballistocardiography
• CPC Class Codes: A61B 5/364 Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured

Abstract

Methods and system are provided that identify motion data associated with consistent electrical and mechanical behavior for a region of interest of the heart. The methods and systems acquire electrical cardiac signals indicative of physiologic behavior of at least a portion of the heart over a plurality of cardiac cycles. The methods and systems acquires motion data indicative of mechanical behavior of a motion sensor over the plurality of cardiac cycles to form a motion data collection, the motion data indicative of mechanical behavior of the region of interest when the motion sensor is in contact with the region of interest. The designating ectopic beats within the cardiac cycles may be based on the electrical cardiac signals, the ectopic beats producing electrically inconsistent (EI) data within the motion data collection. The methods and systems identify mechanically inconsistent (MI) data within the motion data collection based on irregular changes in the motion data. The methods and systems remove at least a portion of the EI and MI data from the motion data collection based on the designating and identifying operations to form an electrically/mechanically consistent (EMC) motion data collection.

Claims

1. A method to identify motion data associated with consistent electrical and mechanical behavior for a region of interest of the heart, the method comprising:

acquiring, via an electrical sensor, electrical cardiac signals indicative of physiologic behavior of at least a portion of the heart over a plurality of cardiac cycles;

acquiring, via a motion sensor, motion data indicative of mechanical behavior of a motion sensor over the plurality of cardiac cycles to form a motion data collection, the motion data indicative of mechanical behavior of the region of interest when the motion sensor is in contact with the region of interest;

designating, via a processor, ectopic beats or arrhythmias within the cardiac cycles based on the electrical cardiac signals, the ectopic beats producing electrically inconsistent (EI) data within the motion data collection;

identifying, via the processor, mechanically inconsistent (MI) data within the motion data collection based on irregular changes in the motion data; and

removing, via the processor, at least a portion of the EI and MI data from the motion data collection based on the designating and identifying operations to form an electrically/mechanically consistent (EMC) motion data collection.

2. The method of claim 1, wherein the removing operation removes the EI data associated with ectopic beats and removes motion data associated with at least a portion of neighboring beats that occur at least one of before or after the ectopic beats.

3. The method of claim 1, wherein the removing operation removes the MI data associated with the irregular changes and at least a portion of adjacent motion data that occurs at least one of before or after the irregular changes.

4. The method of claim 1, wherein the identifying operation analyzes the motion data to identify changes in the motion data that exceed a predetermined threshold within a select period of time.

5. The method of claim 1, wherein the identifying operation analyzes the motion data to identify at least one of sudden or non-periodic changes in the motion data, the at least one of sudden or non-periodic changes being identified as MI data.

6. The method of claim 1, wherein the motion sensor is located on a medical tool in contact with the region of interest, the identifying operation analyzes a waveform representative of the motion data over time to identify waveform characteristics indicative of separation between the medical tool and the region of interest.

7. The method of claim 1, further comprising repeating the acquiring, designating, identifying and removing operations for each of multiple map points on the region of interest to form separate EMC motion data collections for each of the multiple map points.

8. The method of claim 1, wherein the acquiring, designating, identifying and removing operations are performed for a select map point, the method further comprising determining a motion characterization waveform for the map point based on the EMC motion data collection and excluding the EI and MI data.

9. The method of claim 1, wherein the electrical cardiac signals define a cardiac waveform, the designating operation includes parsing through the cardiac waveform to identify, as a characteristic representative of abnormal physiologic behavior, one or more of:

i) when a peak amplitude of a QRS complex falls below a threshold amplitude;

ii) when a QRS complex has a double-peaked or flat R-wave;

iii) when consecutive R waves have an R-R interval that is longer than a select R-R interval by more than a cutoff value; and

iv) when a correlation score based on the morphology of the cardiac waveform is below a predetermined baseline.

10. The method of claim 1, wherein the motion data collection includes motion data associated with X, Y and Z coordinates of a reference coordinate system, the identifying operation identifying MI data based on irregular changes in the motion data along one or more of the X and Y coordinates.

11. A system to identify motion data associated with consistent electrical and mechanical behavior for a region of interest of the heart, the system comprising:

a processor;

an electrical sensor configured to acquire electrical cardiac signals indicative of physiologic behavior of at least a portion of the heart over a plurality of cardiac cycles;

a motion sensor on a medical tool, the motion sensor configured to acquire motion data indicative of mechanical behavior of the motion sensor over the plurality of cardiac cycles to form a motion data collection, the motion data indicative of mechanical behavior of the region of interest when the motion sensor is in contact with the region of interest;

a local storage medium storing program instructions accessible by the processor;

wherein, responsive to execution of the program instructions, the processor is configured to;

designate ectopic beats within the cardiac cycles based on the electrical cardiac signals, the ectopic beats producing electrically inconsistent (EI) data within the motion data collection;

identify mechanically inconsistent (MI) data within the motion data collection based on irregular changes in the motion data; and

remove at least a portion of the EI and MI data from the motion data collection based on the designating and identifying operations to form an electrically/mechanically consistent (EMC) motion data collection.

12. The system of claim 11, wherein the processor is configured to remove the EI data associated with ectopic beats and remove motion data associated with at least a portion of neighboring beats that occur at least one of before or after the ectopic beats.

13. The system of claim 11, wherein the processor is configured to remove the MI data associated with the irregular changes and at least a portion of adjacent motion data that occurs at least one of before or after the irregular changes.

14. The system of claim 11, wherein the processor is configured to analyze the motion data to identify changes in the motion data that exceed a predetermined threshold within a select period of time.

15. The system of claim 11, wherein the processor is configured to analyze the motion data to identify at least one of sudden or non-periodic changes in the motion data, the at least one of sudden or non-periodic changes being identified as MI data.

16. The system of claim 11, wherein the motion sensor is located on a medical tool in contact with the region of interest and wherein the processor is configured to analyze a waveform representative of the motion data over time to identify waveform characteristics indicative of separation between the medical tool and the region of interest.

17. The system of claim 11, wherein the processor is configured to repeat the acquiring, designating, identifying and removing operations for each of multiple map points on the region of interest to form separate EMC motion data collections for each of the multiple map points.

18. The system of claim 11, wherein the processor is configured to:

perform the acquiring, designating, identifying and removing operations for a select map point; and

determine a motion characterization waveform for the map point based on the EMC motion data collection and exclude the EI and MI data.

19. The system of claim 11, wherein the electrical cardiac signals define a cardiac waveform, and wherein the processor is configured to parse through the cardiac waveform to identify, as a characteristic representative of abnormal physiologic behavior, one or more of:

i) when a peak amplitude of a QRS complex falls below a threshold amplitude;

ii) when a QRS complex has a double-peaked or flat R-wave;

iii) when consecutive R waves have an R-R interval that is longer than a select R-R interval by more than a cutoff value; and

iv) when a correlation score based on the morphology of the cardiac waveform is below a predetermined baseline.

20. The system of claim 11, wherein the motion data collection includes motion data associated with X, Y and Z coordinates of a reference coordinate system, the processor is configured to identify MI data based on irregular changes in the motion data along one or more of the X, Y and Z coordinates.