Pacesetter, Inc.

St. Jude Medical, Cardiology Division, Inc.

St. Jude Medical Ab

St. Jude Medical, Inc.

Other

St Jude Medical, Atrial Fibrillation Division, Inc

Pacestter, Inc.

Stuart Rosenberg

Kyungmoo Ryu

Allen J Keel

Fujian Qu

Wenbo Hou

Gene A Bornzin

Xiaoyi Min

Michael Xiaoxuan Yang

Jong Gill

Kjell Noren

Fady Dawoud

Neha Malhotra

Edward Karst

Steve Koh

Thao Thu Nguyen

Taraneh Ghaffari Farazi

Yelena Nabutovsky

Rupinder Bharmi

Cecilia Qin Xi

Xing Pei

Keith Victorine

Tomas Svensson

Ryan Rooke

Brian Jeffrey Wenzel

Nima Badie

Wenwen Li

Riddhi Shah

Thao T Ngo

William Hsu

Euljoon Park

Sven-Erik Hedberg

Kevin L Morgan

Steven Roger Conger

Kjell Norén

Didier Theret

Kritika Gupta

Anna Barlow

Brad Lindevig

Gabriel A Mouchawar

Timothy A Fayram

Laurence S Sloman

David Muller

Michael E Benser

Sheldon Williams

Alan B Vogel

Hoda Razavi

Aditya Goil

Lalit Venkatesan

Rohan More

Julie Prillinger

Pritika Toutam

Stephanie C Sun

Craig A Hewitt

Michael J Coyle

Shubha Asopa

Kwangdeok Lee

Luke C McSpadden

Martin Cholette

Chunlan Jiang

Anders Bjorling

Louis-Philippe Richer

Greg Kampa

Jennifer Rhude

Thanh Tieu

Jatin Surendra Relan

Craig Markovitz

Melanie Goodman Keiser

Avi Fischer

Alexander R Bornzin

Carin Folman

Leyla Sabet

Lanitia Ness

John VanScoy

Ryan Bennett Sefkow

Elnaz Lashgari

Hedi Razavi

Craig D Markovitz

Yousuf Dalal

Embodiments describe herein generally pertain to implantable medical device (IMDs), and methods for use therewith, that can be used to automatically switch an IMD from its normal operational mode to magnetic resonance imaging (MRI) safe mode, and vice versa, within increased specificity. A controller of an IMD is configured to use an accelerometer to determine whether a positional condition associated with a patient is detected, and control sampling of a magnetic field sensor or at least one signal output therefrom, such that a first sampling rate is used when the positional condition is detected, and a second sampling rate, that is slower than the first sampling rate, is used when the positional condition is not detected, to thereby conserve power. Based on results of the sampling, the controller determines whether a magnetic field condition is detected, and in response thereto performs a mode switch to an MRI safe mode.

Implantable medical devices, and methods of use therewith, that detect MRI systems with enhanced specificity

A subcutaneous implantable medical device and method (SIMD) provided. A pulse generator (PG) is configured to be positioned subcutaneously within a lateral region of a chest of a patient. The PG has a housing that includes a PG electrode. The PG has an electronics module. An elongated lead is electrically coupled to the pulse generator. The elongated lead includes a first electrode that is configured to be positioned along a first parasternal region proximate a sternum of the patient and a second electrode that is configured to be positioned at an anterior region of the patient. The first and second electrodes are coupled to be electrically common with one another. The electronics module is configured to provide electrical shocks for antiarrhythmic therapy along at least one shocking vector between the PG electrode and the first and second electrodes.

Implantation medical device with multiple parasternal-anterior electrodes

Computer implemented methods and systems for detecting noise in cardiac activity are provided. The method and system obtain a far field cardiac activity (CA) data set that includes far field CA signals for a series of beats, overlay a segment of the CA signals with a noise search window, and identify turns in the segment of the CA signals. The method and system determine whether the turns exhibit a turn characteristic that exceed a turn characteristic threshold, declare the segment of the CA signals as a noise segment based on the determining operation, shift the noise search window to a next segment of the CA signal and repeat the identifying, determining and declaring operations; and modify the CA signals based on the declaring the noise segments.

Method and system for second pass confirmation of an arrhythmic episode

A method of pacing a His bundle of a patient heart using a stimulation system including a memory, a pulse generator, a stimulating electrode and at least one sensing electrode includes applying a plurality of impulses through the stimulating electrode to induce a plurality of responses from the patient heart. Each impulse of the plurality of impulses is delivered at a different impulse energy corresponding to a respective output setting of the stimulation system. The response characteristics for each of the plurality of responses are measured and each impulse is assigned a classification based on whether the respective response characteristics indicate capture of one or both of the His bundle and a ventricle of the patient heart. The output setting and classification for each impulse is then stored in the memory.

Systems and methods for automated capture threshold testing and associated his bundle pacing

System and methods are provided for determining a stimulation threshold for closed loop spinal cord stimulation (SCS). The system and methods provide a lead coupled to an implantable pulse generator (IPG). The system and methods deliver SCS pulses from the IPG to the lead electrodes in accordance with an SCS therapy and determine an evoked compound action potential (ECAP) amplitude based on an ECAP waveform resulting from the SCS therapy. The system and methods increase the SCS therapy by increasing at least one of an amplitude, a duration, and number of the SCS pulses associated with the SCS therapy. The system and methods also include iteratively repeat the delivering, determining and increasing operations until the ECAP amplitude exhibits a downward trend divergence. The system and methods define a stimulation threshold based on the ECAP amplitude at the trend divergence.

System and method for determining a stimulation threshold for closed loop spinal cord stimulation

The present disclosure provides systems and methods for applying anti-tachycardia pacing (ATP) using subcutaneous implantable cardioverter-defibrillators (SICDs). An SICD implantable in a subject includes a case including a controller, and at least one conductive lead extending from the case. The at least one conductive lead includes a plurality of coil electrodes, wherein the SICD is configured, via the controller, to apply anti-tachycardia pacing (ATP) to the subject using the at least one conductive lead.

Systems and methods for applying anti-tachycardia pacing using subcutaneous implantable cardioverter-defibrillators

Subcutaneous implantation medical device with multiple parasternal-anterior electrodes

Method and system to detect noise in cardiac arrhythmic patterns

Methods and systems are provided for detecting arrhythmias in cardiac activity. The methods and systems declare a current beat, from the CA signals, to be a candidate beat or an ineligible beat based on whether the current beat satisfies the rate based selection criteria. The determining and declaring operations are repeated for multiple beats to form an ensemble of candidate beats. The method and system calculate a P-wave segment ensemble from the ensemble of candidate beats, perform a morphology-based comparison between the P-wave segment ensemble and at least one of a monophasic or biphasic template, declare a valid P-wave to be present within the CA signals based on the morphology-based comparison, and utilize the valid P-wave in an arrhythmia detection process to determine at least one of an arrhythmia entry, arrhythmia presence or arrhythmia exit.

Method and system to detect P-waves in cardiac arrhythmic patterns

Computer implemented methods, systems and devices are provided to monitor for potential heart failure (HF). Cardiac activity (CA) data is obtained and filtered to obtain respiration data indicative of a respiration pattern. The respiration data is analyzed to determine one or more respiration characteristics of interest (COI) that are recorded along with collection time information to form an HF monitoring log. Additionally or alternatively, the CA data is analyzed to detect an event of interest. The cardiac activity data is filtered to obtain respiration data indicative of a respiration pattern, and the respiration data is analyzed for respiration induced under detection of the event of interest from the CA data.

Heart failure monitoring and reduction of respiration induced under sensing of cardiac events

Computer implemented methods and systems for detecting arrhythmias in cardiac activity are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains a far field cardiac activity (CA) data set that includes far field CA signals for beats. The method applies a feature enhancement function to the CA signals to form an enhanced feature in the CA data set. The method calculates an adaptive sensitivity level and sensitivity limit based on the enhanced feature from one or more beats within the CA data set and automatically iteratively analyzes a beat segment of interest by comparing the beat segment of interest to the current sensitivity level to determine whether one or more R-waves are present within the beat segment of interest. The method repeats the iterative analyzing operation while progressively adjusting the current sensitivity level until i) the one or more R-waves are detected in the beat segment of interest and/or ii) the current sensitivity level reaches the sensitivity limit. The method detects an arrhythmia within the beat segment of interest based on a presence or absence of the one or more R-waves and records results of the detecting of the arrhythmia.

Method and system to detect r-waves in cardiac arrhythmic patterns

A computer implemented method and system for detecting arrhythmias in cardiac activity are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains far field cardiac activity (CA) signals and applies a direction related responsiveness (DRR) filter to the CA signals to produce DRR filtered signals. The method compares a current sample from the CA signals to a prior sample from the DRR filtered signals to identify a direction characteristic of the CA signals and defines the DRR filter based on a timing constant that is set based on the direction characteristic identified. The method analyzes the CA signals in connection with the DRR filtered signals to identify a peak characteristic of the CA signals and determines peak to peak intervals between successive peak characteristic. The method detects at least one of noise or an arrhythmia based on the peak to peak intervals and records results of the detecting.

Method and system to detect R-waves in cardiac activity signals

A computer implemented method and system are provided for detecting premature ventricular contractions (PVCs) in cardiac activity. The method and system obtain cardiac activity (CA) signals for a series of beats, and, for at least a portion of the series of beats, calculate QRS scores for corresponding QRS complex segments from the CA signals. The method and system calculate a variability metric for QRS scores across the series of beats, calculate a QRS complex template using QRS segments from the series of beats, calculate correlation coefficients between the QRS complex template and the QRS complex segments, compare the variability metric to a variability threshold and the correlation coefficients to a correlation threshold, and designate the CA signals to include a predetermined level of PVC burden based on the determining.

Method and system to detect premature ventricular contractions in cardiac activity signals

A computer implemented method and system for confirming a device documented arrhythmia in cardiac activity are provided. The method is under control of one or more processors configured with executable instructions. The method obtains a cardiac activity (CA) data set that includes CA signals for a series of cardiac events and includes device documented (DD) markers within the series of cardiac events. The device documented markers are indicative of atrial fibrillation (AF) detected by the ICM utilizing an on-board R-R interval irregularity (ORI) process to analyze the CA signals. The method applies a feature enhancement function to the CA signals to form modified CA signals with enhanced sinus features and analyzes the enhanced sinus features in the modified CA signals. The method utilized a confirmatory feature detection process to identify false AF detection by the ORI process. The method records a result of the analysis identifying false AF detection by the ORI process.

Method and system for second pass confirmation of detected cardiac arrhythmic patterns

Growing community of inventors

Castaic, CA, United States of America

Stuart Rosenberg