Pacesetter, Inc.

Paceetter, Inc.

Bruce A Morley

Wenbo Hou

Xiaoyi Min

Melanie Goodman Keiser

Laurence S Sloman

Gene A Bornzin

Edward Karst

Rupinder Bharmi

Riddhi Shah

Kritika Gupta

Jeffery D Snell

A system and method for controlling non-paresthesia stimulation of neural tissue of a patient. The method delivers a non-paresthesia stimulation waveform, senses sensory action potential (SAP) signals from the neural tissue of interest and analyzes the SAP signals to obtain SAP activity data for at least one of an SAP C-fiber component or an SAP A-delta fiber component. The method determines whether the SAP activity data satisfies a criteria of interest and adjusts at least one of the therapy parameters to change the non-paresthesia stimulation waveform when the SAP activity data does not satisfy the criteria of interest.

System and method to control a non-paresthesia stimulation based on sensory action potentials

A system and method for controlling non-paresthesia stimulation of neural tissue of a patient. The method delivers a non-paresthesia stimulation waveform, senses sensory action potential (SAP) signals from the neural tissue of interest, and analyzes the SAP signals to obtain SAP activity data for at least one of an SAP C-fiber component or an SAP A-delta fiber component. The method determines whether the SAP activity data satisfies a criteria of interest and adjusts at least one of the therapy parameters to change the non-paresthesia stimulation waveform when the SAP activity data does not satisfy the criteria of interest.

A system and method for controlling non-paresthesia stimulation of nervous tissue of a patient. The method delivers a non-paresthesia stimulation waveform, senses sensory action potential (SAP) signals from the nervous tissue of interest, and analyzes the SAP signals to obtain SAP activity data for at least one of an SAP C-fiber component or an SAP A-delta fiber component. The method determines whether the SAP activity data satisfies a criteria of interest and adjusts at least one of the therapy parameters to change the non-paresthesia stimulation waveform when the SAP activity data does not satisfy the criteria of interest.

A system and method are provided for controlling stimulation of nervous tissue of a patient. The method comprises delivering a stimulation waveform to at least one electrode located proximate to nervous tissue of interest, the stimulation waveform including a series of pulses configured to excite at least one of A-beta (A&#x3b2;) fibers, A-delta (A&#x3b4;) fibers or C-fibers of the nervous tissue of interest, the stimulation waveform defined by therapy parameters. The method also provides sensing an evoked compound action potential (ECAP) signal from the nervous tissue of interest. The method also analyzes a frequency content of the ECAP signal to obtain ECAP frequency data indicative of activity by at least one type of nerve fibers from a group comprising A&#x3b2;, A&#x3b4; and C fibers. The method also determines the type of nerve fibers that were activated by the stimulation waveform based on the ECAP frequency data.

System and method to control dorsal root stimulation parameters based on frequency decomposition

Techniques are provided for updating a morphology template used to discriminate abnormal cardiac rhythms. In one example, a non-weighted candidate morphology template is generated based on far-field R-wave morphology. A weighted candidate morphology template is generated based on an ensemble average of the non-weighted candidate morphology template and a previous (i.e. active) morphology template. The previous morphology template is then selectively updated based on a comparison of additional R-waves against both the non-weighted and the weighted candidate templates. Thereafter, abnormal cardiac rhythms such as ventricular tachycardia and supraventricular tachycardia are discriminated using the updated morphology template based on newly-detected far-field R-waves. These techniques provide a method for updating the morphology discrimination template in response to long-term changes in morphology due to cardiac remodeling or cardiac disease progression.

Systems and methods for selectively updating cardiac morphology discrimination templates for use with implantable medical devices

A method and system are provided for characterizing chamber specific function. The method and system comprise collecting cardiac signals associated with asynchronous timing between first and second chambers of the heart; collecting dynamic impedance (DI) data along a chamber-specific function (CSF) vector to form a DI data set, the DI data set collected during a collection window that is temporally aligned based on a timing feature of interest (FOI); repeating the collection operations over multiple cardiac cycles (CC) to obtain an ensemble of DI data sets; and combining the ensemble of DI data sets to form a composite DI data set that is coupled to a chamber functional mechanic of interest (FMOI) associated with the first chamber and decoupled from functional mechanics associated with the second chamber; and analyzing the composite DI data set to obtain a CSF indicator associated with the chamber FMOI of the first chamber.

Method and system for characterizing chamber specific function

A method and system are provided for characterizing cardiac function. The method and system comprise collecting cardiac signals associated with electrical or mechanical behavior of a heart over at least one cardiac cycle; identifying a timing feature of interest (FOI) from the cardiac signals; collecting dynamic impedance (DI) data over at least one cardiac cycle (CC), designated by the timing FOI, along at least one of i) a venous return (VR) vector or ii) a right ventricular function (RVF) vector; and analyzing at least one morphologic characteristic from the DI data based on at least one of i) a VR-DI correlation metric to obtain a VR indicator associated with the CC or ii) a RVF-DI correlation metric to obtain a RVF indicator associated with CC.

Method and system for characterizing cardiac function based on dynamic impedance

An implantable medical device, comprised of at least one lead configured to be located proximate to a heart, the at least one lead including electrodes, at least a portion of the electrodes configured to sense cardiac activity. A therapy module configured to control delivery of pacing pulses in accordance with a therapy timing and based on the cardiac sensed activity sensed. Cardiac impedance (CI) sensor circuitry configured to be coupled to at least a first combination of the electrodes to sense cardiac impedance (CI), the CI sensor circuitry generating an impedance data stream associated with a corresponding CI sensing vector.

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Garland, TX, United States of America

Bruce A Morley