ECG noise reduction system for removal of vehicle motion artifact

Patent metadata

Field	Value
Publication number	US-9642575-B2
Application number	US-201414216225-A
Country	US
Kind code	B2
Filing date	Mar 17, 2014
Priority date	Mar 15, 2013
Publication date	May 9, 2017
Grant date	May 9, 2017

Abstract

An ECG processing system which removes vehicle motion artifact from a measured ECG signal based on vehicle cabin motion and vehicle suspension motion.

First claim

The invention claimed is:

1. An electrocardiogram (ECG) signal processing system for processing an ECG signal of a patient undergoing transport provided by a vehicle, said processing system comprising:
one or more vehicle motion sensors operably connected to the vehicle and operable to generate one or more signals corresponding to vehicle motion;
electrodes operable to measure the ECG signal of the patient;
an output device;
a processor communicatively coupled to the one or more vehicle motion sensors, the electrodes, and the output device, the processor configured to:
receive the one or more signals corresponding to the vehicle motion from the one or more vehicle motion sensors and the measured ECG signal from the electrodes,
process the one or more signals corresponding to the vehicle motion and the measured ECG signal to determine an estimated true ECG signal, and
output the estimated true ECG signal to the output device.

2. The ECG signal processing system of claim 1 further comprising a CPR motion sensor configured to provide a signal corresponding to motion of the chest of the patient during CPR chest compressions, wherein the processor is communicatively coupled to the CPR motion sensor and further configured to:
receive the signal corresponding to the motion of the chest of the patient during CPR chest compressions; and
process the signal corresponding to the motion of the chest of the patient during CPR chest compressions to determine the estimated true ECG signal.

3. A method of calculating an estimated true ECG signal from a patient undergoing transport provided by a vehicle, said method comprising:
receiving, at a processor, from one or more vehicle motion sensors operably connected to the vehicle and communicatively coupled to the processor, a first input comprising one or more signals corresponding to vehicle motion;
receiving, at the processor, from electrodes communicatively coupled to the processor, a second input comprising a measured ECG signal of the patient;
processing the first input and the second input, by the processor, to determine the estimated true ECG signal; and
outputting, by the processor to an output device, the estimated true ECG signal.

4. The method of claim 3 further comprising:
receiving, at the processor, from a CPR motion sensor communicatively coupled to the processor, a signal corresponding to motion of the chest of the patient during CPR chest compressions; and
processing the signal corresponding to the motion of the chest of the patient during CPR compressions to determine the estimated true ECG signal.

5. The ECG signal processing system of claim 1 wherein the processor is further configured to:
estimate vehicle motion induced artifacts in the measured ECG signal based on the one or more signals corresponding to the vehicle motion; and
remove the estimated vehicle motion induced artifacts from the measured ECG signal to determine the estimated true ECG signal.

6. The ECG signal processing system of claim 5 wherein the processor further comprises a signal combiner configured to subtract the estimated vehicle motion induced artifacts from the measured ECG signal to determine the estimated true ECG signal.

7. The ECG signal processing system of claim 5 wherein the processor is further configured to estimate the vehicle motion induced artifacts in the measured ECG signal based on a linear predictive filter.

8. The ECG signal processing system of claim 7 wherein the processor is further configured to identify the linear predictive filter.

9. The ECG signal processing system of claim 5 wherein the processor is further configured to estimate the vehicle motion induced artifacts in the measured ECG signal based on a non-linear predictive filter.

10. The ECG signal processing system of claim 9 wherein the processor is further configured to identify the non-linear predictive filter.

11. The ECG signal processing system of claim 5 wherein the one or more vehicle motion sensors are operably connected to one or more components of the vehicle and wherein the one or more signals corresponding to the vehicle motion are one or more signals corresponding to motion of the one or more components of the vehicle.

12. The ECG signal processing system of claim 11 wherein the one or more components of the vehicle comprise one or more of a gurney, a vehicle cabin, a vehicle frame, and one or more vehicle suspension components.

13. The ECG signal processing system of claim 12 wherein the processor is further configured to:
receive a signal corresponding to motion of the vehicle cabin and a signal corresponding to motion of the one or more vehicle suspension components, and
process the signal corresponding to the motion of the vehicle cabin and the signal corresponding to the motion of the one or more vehicle suspension components to account for a delay in transmission of vibrations from the one or more vehicle suspension components to the vehicle cabin to estimate the vehicle motion induced artifacts in the measured ECG signal.

14. The ECG signal processing system of claim 12 wherein the processor is further configured to:
receive a signal corresponding to motion of the vehicle frame and a signal corresponding to motion of the one or more vehicle suspension components, and
process the signal corresponding to the motion of the vehicle frame and the signal corresponding to the motion of the one or more vehicle suspension components to account for relative motion between the vehicle frame and the one or more vehicle suspension components to estimate the vehicle motion induced artifacts in the measured ECG signal.

15. The ECG signal processing system of claim 1 wherein the output device comprises a display.

16. The ECG signal processing system of claim 2 wherein the CPR motion sensor comprises one or more of an accelerometer, a velocity sensor, a displacement sensor, and a force sensor.

17. The ECG signal processing system of claim 1 wherein the vehicle comprises a gurney, an ambulance, or a combination thereof.

18. The method of claim 3 wherein the output device comprises a display.

19. The method of claim 3 , wherein the processing the first input and the second input comprises:
estimating vehicle motion induced artifacts in the measured ECG signal based on the one or more signals corresponding to the vehicle motion; and
determining the estimated true ECG signal by removing the estimated vehicle motion induced artifacts from the measured ECG signal.

20. The method of claim 19 further comprising determining the estimated true ECG signal by subtracting the estimated vehicle motion induced artifacts from the measured ECG signal.

21. The method of claim 19 further comprising estimating the vehicle motion induced artifacts in the measured ECG signal based on a linear predictive filter.

22. The method of claim 21 further comprising identifying the linear predictive filter.

23. The method of claim 19 further comprising estimating the vehicle motion induced artifacts in the measured ECG signal based on a non-linear predictive filter.

24. The method of claim 23 further comprising identifying the non-linear predictive filter.

25. The method of claim 19 wherein the one or more vehicle motion sensors are operably connected to one or more components of the vehicle and wherein the one or more signals corresponding to the vehicle motion are one or more signals corr

Assignees

• Zoll Medical Corp

Inventors

• Freeman Gary A
• Herken Ulrich R

Classifications

• A61B5/6893 Primary

  Cars · CPC title

• A61B2560/0247

  for compensation or correction of the measured physiological value · CPC title

• A61B5/725

  using specific filters therefor, e.g. Kalman or adaptive filters (specific diagnostics methods using using bioelectric or biomagnetic signals A61B5/316) · CPC title

• A61B5/04017

  Human Necessities · mapped topic

• A61B5/721

  using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured · CPC title