Detection of relaxation abnormality in heart tissue
A chronically implanted medical device, connected to a medical electrical lead that includes a sensor, is used to detect diastolic dysfunction. A LV accelerometer signal is sensed through the sensor. Based on the LV accelerometer signal, a determination is made as to whether diastolic dysfunction data exists.
1. An automated method to detect relaxation abnormality in heart tissue through a chronically implanted medical device connected to a medical electrical lead, the method comprising:
sensing a LV accelerometer signal through an implantable mechanical sensor affixed to the medical electrical lead, the mechanical sensor disposed at or near a right ventricle (RV) or a left ventricle (LV) of a patient;
extracting data of a complete contraction period from the LV accelerometer signal wherein the complete contraction period is a PQRS complex;
comparing the extracted complete contraction period data to a baseline data; and
determining whether diastolic dysfunction exists based upon comparing the extracted complete contraction period data to the baseline data.
2. The method of claim 1 further comprising quantifying a magnitude of the diastolic dysfunction.
3. The method of claim 1 , wherein the lead is placed endocardially in one of the RV and the LV.
4. The method of claim 1 , wherein the lead is placed epicardially to one of the RV and the LV.
5. The method of claim 1 , wherein the lead is placed intravascularly to one of the RV and the LV.
6. The method of claim 4 , wherein the lead is disposed in the coronary sinus.
7. The method of claim 1 , further comprising:
generating a notification signal to a receiver that diastolic dysfunction data is detected.
8. The method of claim 7 , wherein the notification signal is transmitted to one of a healthcare provider and a patient.
9. The method of claim 1 , wherein the comparing step involves template matching the extracted complete contraction period data to the baseline data which consists of a baseline complete contraction period.
10. The method of claim 1 , wherein comparing step involves waveform comparison.
11. The method of claim 1 , wherein comparing step involves using a feature from the extracted complete contraction period data.
12. The method of claim 1 wherein the baseline data is obtained from a patient.
13. The method of claim 1 wherein the baseline data is based on a population of patients.
14. The method of claim 1 , wherein the extracted data include one of E/A ratio, E/E′, and E deceleration time.
15. An implanted medical device configured to detect diastolic dysfunction through an implantable mechanical sensor coupled to a medical electrical lead extending from the device, comprising:
means for storing baseline data;
means for sensing a signal through the implantable mechanical sensor affixed to the medical electrical lead;
means for extracting complete contraction period data from the sensed signal;
means for comparing complete contraction period data to the stored baseline data; and
means for determining whether diastolic dysfunction exists in response to the comparing.
16. The device of claim 15 further comprising:
means for quantifying a magnitude of the diastolic dysfunction.
17. The device of claim 15 , further comprising:
means for generating a notification signal to a receiver that diastolic dysfunction data is detected.
18. The device of claim 17 , wherein the notification signal is transmitted to one of a healthcare provider and a patient.
19. The device of claim 15 , wherein determining whether diastolic dysfunction exists comprises comparing data from the signal to the stored baseline data.
20. The device of claim 15 wherein the baseline data is obtained from a patient.
21. The device of claim 15 wherein the baseline data is based on a population of patients.
22. The device of claim 15 wherein the complete contraction period data include one of E/A ratio, E/E′, and E deceleration time.