초록 ▼

A system and method are provided for determining an index of autonomic nervous system (ANS) or sympathetic nervous system (SNS) activity for use in patient monitoring or therapy delivery control. An ANS or SNS index is calculated as a function of multiple monitored physiological variables that stron

A system and method are provided for determining an index of autonomic nervous system (ANS) or sympathetic nervous system (SNS) activity for use in patient monitoring or therapy delivery control. An ANS or SNS index is calculated as a function of multiple monitored physiological variables that strongly correlate to changes in autonomic or sympathetic tone. These ANS-influenced variables are derived from selected hemodynamic and/or electrical signals and may include variables relating to any of: the maximum rate of pressure rise (dP/dtmax), the maximum rate of pressure decline (dP/dtmin), pulse pressure (PP), pre-ejection time interval (PEI) and/or systolic time interval (STI), heart rate (HR), heart rate variability (HRV), and baro-reflex gain. Changes in the ANS or SNS index may be used to automatically adjust a device delivered therapy.

대표청구항 ▼

1. A method for monitoring ANS activity via an implantable medical device (IMD), comprising: obtaining at least one physiological signal influenced by ANS activity via at least one sensor coupled to an IMD;deriving from the physiological signal a number of variables influenced by ANS activity; andco

1. A method for monitoring ANS activity via an implantable medical device (IMD), comprising: obtaining at least one physiological signal influenced by ANS activity via at least one sensor coupled to an IMD;deriving from the physiological signal a number of variables influenced by ANS activity; andcomputing an ANS index as a function of the derived variables; andwherein the at least one physiological signal is a pressure signal and the derived variables include any of dP/dt, pulse pressure, pre-ejection time interval, systolic time interval. 2. A method according to claim 1, wherein the variables further include baro-reflex gain and wherein the baro-reflex gain variable is derived from a measured change in heart rate occurring over a cyclic pressure change known to contribute to the baroreceptor reflex. 3. A method according to claim 2, wherein the cyclic pressure change is the cyclic pressure change in blood pressure caused by respiration. 4. A method according to claim 1, wherein the index of ANS activity is computed as a function of the derived variables each assigned a weighting coefficient wherein the weighting coefficient may be any real value. 5. A method according to claim 4, wherein the function of the derived variables is a linear function. 6. A method according to claim 4, wherein the function of the derived variables is a non-linear function. 7. A system for monitoring ANS activity, via an implantable medical device (IMD) comprising: an implantable medical device (IMD);a sensor that generates a signal influenced by ANS activity, coupled to said IMD;a processor that derives multiple variables influenced by ANS activity from the sensor signal, andmeans for computing an index of ANS activity from the derived variables; whereinthe sensor comprises a mechanical sensor and the derived variables include at least one of: a blood pressure, a heart wall motion, a blood flow, a blood volume. 8. A system for monitoring ANS activity, via an implantable medical device (IMD) comprising: an implantable medical device (IMD);a sensor that generates a signal influenced by ANS activity, coupled to said IMD;a processor that derives multiple variables influenced by ANS activity from the sensor signal, and means for computing an index of ANS activity from the derived variables; wherein the sensor is deployed on an deployable lead and comprises a pressure sensor; andwherein the processor derives the variables from the pressure sensor signal and the variables include at least one of: a dP/dt metric, a pulse pressure, a pre-ejection time interval, a systolic time interval. 9. A system according to claim 8, wherein the processor for deriving the variables further comprises means for processing the pressure sensor signal by any of: means for identifying a maximum pressure;means for identifying a minimum pressure;means for identifying a maximum dP/dt;means for identifying a minimum dP/dt. 10. A system according to claim 9, wherein the processor further includes means for deriving a baro-reflex gain variable further including means for measuring a change in heart rate occurring over a cyclic pressure change known to contribute to the baroreceptor reflex and means for measuring the cyclic pressure change. 11. A computer readable medium bearing instructions performed under computer processor control to provide a technical effect, said medium residing within an implantable medical device (IMD) and operatively coupled to internal circuitry disposed within said IMD, comprising: instructions for obtaining at least one physiological signal influenced by ANS activity;instructions for deriving from the physiological signal a number of variables influenced by ANS activity; andinstructions for computing an ANS index as a function of the derived variables; andwherein the at least one physiological signal comprises a pressure signal and derived variables include at least one of: a dP/dt, a pulse pressure, a pre-ejection time interval, a systolic time interval. 12. A method according to claim 11, wherein the index of ANS activity is computed as a function of the derived variables each assigned a weighting coefficient wherein the weighting coefficient may be any real value. 13. A method according to claim 12, wherein the function of the derived variables is a linear function. 14. A method according to claim 12, wherein the function of the derived variables is a non-linear function.