Device and method for identifying cardiac events
An implantable medical device includes leads having electrodes that are positioned within a heart. The electrodes sense signals derived from the heart that include waveform segments. The device includes a timing module that determines when the waveform segments cross a threshold and measures time intervals between at least two threshold crossings by the waveform segments. The device also includes event identification module that compares the time intervals to a predetermined pattern associated with a cardiac event. The event identification module identifies the cardiac event based on the time intervals and the predetermined pattern.
1. An implantable medical device comprising:
one or more leads comprising electrodes configured to be positioned within a heart, the electrodes capable of sensing signals derived from the heart, the signals comprising waveform segments that comprise a portion of a cardiac cycle;
a timing module to determine when each of the waveform segments crosses a plurality of thresholds and to measure a time interval between at least two threshold crossings for each of the waveform segments, wherein the plurality of thresholds have different amplitude levels; and
an event identification module to compare the time intervals to a predetermined pattern associated with a cardiac event, the event identification module to identify the cardiac event based on the time intervals and the predetermined pattern, wherein the cardiac event is selected from the group consisting of a QRS complex and a T-wave.
2. The implantable medical device of claim 1 , further comprising a frequency calculation module to determine dominant frequencies of the signals based on the time intervals, wherein the event identification module compares the dominant frequencies to the pattern to determine if the dominant frequencies match the pattern.
3. The implantable medical device of claim 2 , wherein the pattern represents at least one of a number of the dominant frequencies identified by the frequency calculation module within a predetermined time window or a magnitude of one or more of the dominant frequencies.
4. The implantable medical device of claim 1 , wherein the timing module measures the time intervals as periods between the signals rising above the threshold followed by the signals dropping below the threshold.
5. The implantable medical device of claim 1 , wherein the timing module measures the time intervals as periods between the signals falling below the threshold followed by the signals rising above the threshold.
6. The implantable medical device of claim 1 , wherein the timing module measures the time intervals as periods that the signals extend above a zero zone of signals, the zero zone extending between an upper threshold and a lower threshold.
7. The implantable medical device of claim 1 , wherein the event identification module identifies the waveform segments of the signals based on the time intervals.
8. The implantable medical device of claim 1 , wherein the pattern represents a number of the time intervals occurring during a predetermined time window.
9. The implantable medical device of claim 1 , wherein the timing module measures the time intervals between the threshold crossings by the waveform segments.
10. A method for identifying cardiac events, the method comprising:
sensing signals derived from a heart that include waveform segments that comprise a portion of a cardiac cycle;
determining when each of the waveform segments crosses a plurality of thresholds, wherein the plurality of thresholds have different amplitude levels;
measuring a time interval between at least two threshold crossings for each of the waveform segments;
comparing the time intervals to a predetermined pattern associated with a cardiac event; and
identifying the cardiac event based on the time intervals and the predetermined pattern, wherein the cardiac event is selected from the group consisting of a QRS complex and a T-wave.
11. The method of claim 10 , further comprising determining dominant frequencies of the signals based on the time intervals, wherein the identifying operation comprises comparing the dominant frequencies to the pattern to determine if the dominant frequencies match the pattern.
12. The method of claim 11 , wherein the pattern represents at least one of a number of the dominant frequencies identified by the frequency calculation module within a predetermined time window or a magnitude of one or more of the dominant frequencies.
13. The method of claim 10 , wherein the time intervals are periods between the signals rising above the threshold followed by the signals falling below the threshold.
14. The method of claim 10 , wherein the time intervals are periods between the signals falling below the threshold followed by the signals rising above the threshold.
15. The method of claim 10 , wherein the time intervals are periods that the signals extend above a zero zone of signals, the zero zone extending between an upper threshold and a lower threshold.
16. The method of claim 10 , wherein the identifying operation identifies the waveform segments of the signals based on the time intervals.
17. The method of claim 10 , wherein the pattern represents a number of the time intervals occurring during a predetermined time window.