Pacesetter, Inc.

St. Jude Medical Ab

Rupinder Bharmi

Gene A Bornzin

Xiaoyi Min

Edward Karst

Peter Boileau

Joseph J Florio

Riddhi Shah

Stuart Rosenberg

Taraneh Ghaffari Farazi

Jong Gill

Jeffery D Snell

Michael E Benser

Kritika Gupta

Wenbo Hou

Ryan Rooke

Laurence S Sloman

Yelena Nabutovsky

Fujian Qu

Brian Jeffrey Wenzel

Allen J Keel

Bruce A Morley

Kyungmoo Ryu

Euljoon Park

Karin Järverud

Anders Björling

Jay Snell

Lalit Venkatesan

Kevin Wilson

Michael Broome

Laleh Jalali

Michael Broomé

Philip De Chazal

Philip B Adamson

Risshi Shah

Hedi Razavi

Rahul Agarwal

Anders BJÖRLING

Described herein are methods, devices, and systems for treating human anemia. The methods, devices, and systems generally include monitoring a patient's hemoglobin level and at least one of autonomic balance and inflammatory state to determine the etiology of the anemic state, modulating at least one of a sympathetic or parasympathetic nerve based on the cause of the anemia, monitoring for changes in the patient's cardiac activity and state of inflammation, and hemoglobin level. An external neurostimulation system is describes, and well as a chronic implantable system. A method for treating a patient for anemia in conjunction with a renal denervation ablation catheter is also disclosed.

Erythropoeitin production by electrical stimulation

Described herein are methods, devices, and systems for treating human anemia. The methods, devices, and systems generally include monitoring a patients hemoglobin level and at least one of autonomic balance and inflammatory state to determine the etiology of the anemic state, modulating at least one of a sympathetic or parasympathetic nerve based on the cause of the anemia, monitoring for changes in the patients cardiac activity and state of inflammation, and hemoglobin level. An external neurostimulation system is describes, and well as a chronic implantable system. A method for treating a patient for anemia in conjunction with a renal denervation ablation catheter is also disclosed.

A system and method provide precise detection of the time of occurrence of a cardiac event of a heart. The method comprises the steps of sensing electrical activity of the heart to generate an electrogram of the heart and applying the electrogram to an event detector having a plurality of spaced apart thresholds. The thresholds are selected such that the electrogram has an amplitude for crossing at least one of the thresholds. The method further comprises determining a characteristic identifying feature of the electrogram at each threshold crossing of the electrogram, comparing the determined characteristic identifying features to an electrogram template, and identifying the time of occurrence of the cardiac event based upon the comparison.

System and method for accurately detecting cardiac events using multi-threshold processing

Diastolic function is monitored within a patient based on dynamic cardiogenic impedance as measured by a pacemaker or other implantable medical device. In one example, the device uses ventricular cardiogenic impedance values to detect E-wave parameters representative of passive filling of the ventricles. Atrial cardiogenic impedance values are used to detect A-wave parameters representative of active filling of the ventricles. Diastolic function is then assessed or evaluated based on the E-wave and A-wave parameters. Various functions of the implantable device are then controlled based on the assessment of diastolic function, such as by adjusting atrioventricular delay parameters to improve diastolic function. In some examples, the detection of E- and A-wave parameters is achieved by aligning impedance signals to atrial activation, and separately to ventricular activation, during asynchronous VOO pacing or while artificially inducing a 2:1 block.

System and method for evaluating diastolic function based on cardiogenic impedance using an implantable medical device

A method for performing deep brain stimulation (DBS) therapy may include determining a location of a target area of a brain, forming a burr hole through a skull of a patient based on the location the target area, positioning one or more reference members on or within the brain through the burr hole, and acquiring at least one image of the brain having the one or more reference members with at least one imaging sub-system.

Systems and methods for performing deep brain stimulation

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 system and method enables precise detection of the time of occurrence of a cardiac event of a heart. The method includes the steps of sensing electrical activity of the heart to generate an electrogram signal including the cardiac event, storing the electrogram signal, correlating the electrogram signal with an electrogram template, and identifying the time of occurrence of the cardiac event based upon the correlation.

System and method for accurately detecting cardiac events using retrospective correlation

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

A method and system are provided to analyze valve related timing and monitor heart failure. The method and system comprise collecting cardiac signals associated with an atrial chamber of interest; collecting dynamic impedance (DI) data along an atria-function focused (AFF) vector to form a DI data set, the DI data set including information corresponding to a mechanical function (MF) of a valve associated with the atrial chamber of interest; identifying, from the cardiac signals, an intra-atrial conduction timing (IACT) associated with the atrial chamber of interest; estimating an MF landmark at which the mechanical function of the valve occurs based on the DI data set; analyzing a timing delay between the MF landmark and the IACT; and adjusting a therapy, based on the timing delay, to encourage atrial contribution to ventricular filling.

Methods and systems for analyzing valve related timing and monitoring heart failure

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.

Method and system for improving impedance data quality in the presence of pacing pulses

Techniques are provided for detecting and distinguishing stroke and cardiac ischemia based on electrocardiac signals. In one example, the device senses atrial and ventricular signals within the patient along a set of unipolar sensing vectors and identifies certain morphological features within the signals such as PR intervals, ST intervals, QT intervals, T-waves, etc. The device detects changes, if any, within the morphological features such as significant shifts in ST interval elevation or an inversion in T-wave shape, which are indicative of stroke or cardiac ischemia. By selectively comparing changes detected along different unipolar sensing vectors, the device distinguishes or discriminates stroke from cardiac ischemia within the patient. The discrimination may be corroborated using various physiological and hemodynamic parameters. In some examples, the device further identifies the location of the ischemia within the heart. In still other examples, the device detects cardiac ischemia occurring during stroke.

Systems and methods for use by implantable medical devices for detecting and discriminating stroke and cardiac ischemia using electrocardiac signals

Techniques are provided for controlling spinal cord stimulation (SCS) or other forms of neurostimulation. Far-field cardiac electrical signals are sensed using a lead of the SCS device and neurostimulation is selectively delivering using a set of adjustable SCS control parameters. Parameters representative of cardiac rhythm are derived from the far-field cardiac electrical signals. The parameters representative of cardiac rhythm are correlated with SCS control parameters to thereby map neurostimulation control settings to cardiac rhythm parameters. The delivery of further neurostimulation is then controlled based on the mapping of neurostimulation control settings to cardiac rhythm parameters to, for example, address any cardiovascular disorders detected based on the far-field cardiac signals. In this manner, a closed loop control system is provided to automatically adjust SCS control parameters to respond to changes in cardiac rhythm such as changes associated with ischemia, arrhythmia or heart failure.

Closed-loop systems and methods for controlling neurostimulation based on far-field cardiac signals sensed by a spinal cord stimulation device

An apparatus and method for quantifying myocardial kinetics by positioning two sensors on a myocardial substrate site so that one sensor is directly opposing the other along a ventricular wall; tracking a relative displacement between the two sensors; and determining whether there is an infarct based on the tracked relative displacement.

Guided myocardial substrate characterization and infarct scar location

Methods and apparatuses for monitoring, with improved specificity, occurrences of episodes relating to disorders that are known to affect T-wave morphology. T-wave variability is monitored. When T-wave variability, or a change therein, exceeds a corresponding threshold for a specific period of time, monitoring for a specific change in T-wave morphology that is known to be indicative of episodes relating to a disorder may be triggered.

Systems and methods for increased specificity in diagnostics

In an implantable medical device such as an implantable cardiac defibrillator, and a method for classifying arrhythmia events, IEGM signals are analyzed to detect an arrhythmia event and a respiratory pattern of the patient is sensed. At least one respiratory parameter reflecting characteristics of the respiratory pattern of the patient is determined based on the sensed respiratory pattern and a respiratory measure corresponding to a change of a rate of change of the at least one respiratory parameter is calculated. The detected arrhythmia event is classified based on the respiratory measure and the IEGM signals, wherein arrhythmia events that satisfy at least a first criterion is classified as an arrhythmia event requiring therapy.

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Canyon Country, CA, United States of America

Rupinder Bharmi