Adaptive cardiac data patient filter system

• US 8,862,216 B2
• Filed: 02/06/2013
• Issued: 10/14/2014
• Est. Priority Date: 03/15/2012
• Status: Active Grant

• Current Assignee: PixArt Imaging Incorporated
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Zhang, Hongxuan
• Primary Examiner(s): KAHELIN, MICHAEL WILLIAM
• Application Number:
  US13/760,124
• Publication Number:
  US 20130245478A1
• Time in Patent Office: 615 Days
• Field of Search: 600/509
• US Class Current: 600/521
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance

Abstract

A system for adaptively processing patient monitoring signals comprises an input processor for acquiring a signal having amplitude representing electrical activity of a patient heart over time. A signal processor identifies different portions of the signal associated with different phases of cardiac activity by, inverting the signal to provide an inverted signal, aligning the signal and the inverted signal in amplitude during a cardiac rest portion and identifying one or more of the different portions in response to an intersection point of the signal and the inverted signal. Multiple adaptive signal filters are used to filter multiple bandwidths of corresponding different portions of the signal.

Claims

1. A system for adaptively processing patient monitoring signals, comprising:

an input processor configured to acquire a signal having an amplitude representing electrical activity of a patient heart over time;

a signal processor configured to identify different portions of said signal, where each of the different portions is associated with a respective phase of cardiac activity, by;

inverting said signal to provide an inverted signal;

aligning said signal and said inverted signal based on their respective amplitudes during a cardiac rest portion; and

identifying one or more of the different portions of said signal based on one or more intersections point of said aligned signal and inverted signal; and

a plurality of adaptive signal filters, each of the plurality of adaptive signal filters configured to filter a respective plurality of bandwidths of a respective one of the different portions of said signal.

2. A system according to claim 1, wherein

said different portions comprise at least two of P wave, QRS wave and T wave portions of said signal.

3. A system according to claim 2, wherein

said different portions comprise at least one of, S wave and U wave portions of said signal.

4. A system according to claim 1, wherein

said signal processor,

identifies said cardiac rest portion as comprising between a U wave and a P wave and

aligns said signal and said inverted signal based on their respective amplitudes by at least one of, (a) applying a DC offset to a signal and (b) voltage clamping a signal.

5. A system according to claim 1, wherein

said plurality of adaptive signal filters are at least one of, (a) digital and (b) analog, filters.

6. A system according to claim 1, including

a signal reconstruction processor for providing a reconstructed signal by combining the filtered different portions of said signal.

7. A system according to claim 6, wherein

said signal reconstruction processor provides the reconstructed signal by summing the filtered different portions of said signal.

8. A system according to claim 7, wherein

said signal reconstruction processor provides said reconstructed signal by performing a weighted summation of the filtered different portions of said signal.

9. A system according to claim 1, wherein

each of said plurality of adaptive signal filters is associated with a respective filtering characteristic programmable in response to received programming data.

10. A system according to claim 9, wherein

said programming data is derived in response to data indicating a type of medical procedure being performed.

11. A system according to claim 9, wherein

the programmable filtering characteristic of said plurality of adaptive signal filters determines whether the filter is at least one of, (a) a low pass filter, (b) a high pass filter and (c) a bandpass filter.

12. A method for adaptively processing patient monitoring signals, comprising:

acquiring a signal having an amplitude representing electrical activity of a patient heart over time;

identifying different portions of said signal, where each of the different portions is associated with a different respective phase of cardiac activity, by;

inverting said signal to provide an inverted signal;

aligning said signal and said inverted signal based on their respective amplitudes during a cardiac rest portion; and

identifying one or more of the different portions of said signal based on one or more intersections point of said aligned signal and inverted signal; and

filtering a respective plurality of bandwidths of each different portion of said signal using a respective adaptive signal filter for each different portion.

13. A method according to claim 12, further comprising:

generating a reconstructed signal by combining the filtered different portions of said signal.

14. A method according to claim 12, wherein

each of the adaptive signal filters is associated with a respective filtering characteristic programmable in response to received programming data.