Cardiac Pacemakers, Inc.

Boston Scientific Neuromodulation Corporation

David L Perschbacher

Deepa Mahajan

James O Gilkerson

Sunipa Saha

Pramodsingh Hirasingh Thakur

David J Ternes

Yanting Dong

James Kalgren

Bryan Allen Clark

Jianwen Gu

Elizabeth Mary Annoni

Yinghong Yu

Dan Li

Gary Thomas Seim

Keith L Herrmann

Kenneth L Baker

Jeffrey E Stahmann

Krzysztof Z Siejko

Vickie L Conley

Kyle Harish Srivastava

Andrew P Kramer

David Arthur Casavant

Kenneth Paul Hoyme

Allan Charles Shuros

Qi An

Rosana Esteller

Ron A Balczewski

Christopher L Pulliam

Craig Michael Stolen

Sandra Nagale

Derek Daniel Bohn

Keith R Maile

William J Linder

Jaeho Kim

John D Hatlestad

Yi Zhang

Joseph M Bocek

Ramesh Wariar

Stephen John Hahn

Donald Lee Hopper

Abhilash Patangay

Doug M Birkholz

Arjun D Sharma

James John Kleinedler

Les Norman Peterson

Jason Humphrey

Adam MacEwen

Jonathan Walter Krueger

Michael James Dufresne

Karin K Roof

Rebecca Bloomfield

Howard D Simms, Jr

Richard Milon Dujmovic, Jr

Ankur Garg

Mitchell D Lanz

LeAnne M Eberle

Paul W Jones

Milan Seth

Julie Stephenson

Kira Q Stolen

Phillip Dewey Foshee, Jr

Amy Jean Brisben

Harley G White

Jonathan Bennett Shute

Thomas J Harris

Jonathan H Kelly

Anthony Harrington

Lorenzo A DiCarlo

Bhaskar Sen

JoAnna Trapp Simpson

Jeffry V Marshik

Randall L McPherson

Pratik K Pandya

Jason McCarthy

Efdal Elferri

Vijay Aditya Tadipatri

Weiguang Shao

Alicia Elaine Byrnes

Keith Mattson

James R Kalgren

Chen Yee Wong

Howard D Simms Jr

Les N Peterson

Systems and methods for detecting cardiac events in a patient are described herein. An embodiment of a medical system includes a detection circuit configured to detect cardiac events of the patient at different detection settings using physiologic information of the patient and a control circuit to determine a priority for each detected cardiac event based on the detection setting used to detect the respective cardiac event and to prioritize system resources for the detected cardiac event according to the determined priorities, wherein to prioritize system resources comprises to allocate memory space for the detected cardiac events or to prioritize data transmission of the detected cardiac events to an external system based on the determined priority for each respective cardiac event.

Cardiac event resource allocation

Systems and methods for managing machine-generated alert notifications of medical events detected from one or more patients are described herein. An embodiment of a data management system may receive an adjudication of a medical event episode including an episode characterization. A storage unit stores an association between one or more episode characterizations and corresponding detection algorithms for detecting a medical event having respective episode characterizations. An episode management circuit may detect from a subsequent episode, using the stored association, a medical event having an episode characterization of at least one medical event episode presented for adjudication, and schedule presenting at least a portion of the subsequent episode based on the detection.

Systems and methods for presenting arrhythmia episodes

This document discusses, among other things, systems and methods to receive cardiac electrical information of a subject, detect a premature ventricular contraction (PVC) event in a first detection window using the received cardiac electrical information, determine a count of detected PVC events in the first detection window, remove cardiac electrical information associated with the detected PVC event from the first detection window based on the determined count of detected PVC events, and detect an indication of atrial fibrillation of the subject for the first detection window using remaining cardiac electrical information in the first detection window.

PVC adjusted AF detection

Systems and methods for detecting cardiac arrhythmia are discussed. An exemplary arrhythmia detection system can receive physiologic information of the patient, measure a first signal metric using a first portion of the received physiologic information, and determine an arrhythmia detection duration using a comparison between the measured first signal metric and a reference signal metric value. The system includes an arrhythmia detector to detect an AT episode using a second portion of the physiologic information corresponding to the determined arrhythmia detection duration.

Systems and methods for detecting arrhythmias

Systems and methods for managing cardiac arrhythmias are discussed. A data management system receives a first detection algorithm including a detection criterion for detecting a cardiac arrhythmia. An arrhythmia detector detects arrhythmia episodes from a physiologic signal using a second detection algorithm that is different from and has a higher sensitivity for detecting the cardiac arrhythmia than the first detection algorithm. The arrhythmia detector assigns a detection indicator to each of the detected arrhythmia episodes. The detection indicator indicates a likelihood that the detected arrhythmia episode satisfies the detection criterion of the first detection algorithm. The system prioritizes the detected arrhythmia episodes according to the assigned detection indicators, and outputs the arrhythmia episodes to a user or a process according to the episode prioritization.

Systems and methods for detecting and reporting arrhythmias

This document discusses, among other things, systems and methods for managing pain in a subject. A system may include one or more sensors configured to sense from the subject information corresponding to emotional reaction to pain, such as emotional expression. The emotional expression includes facial or vocal expression. A pain analyzer circuit may generate a pain score using signal metrics of facial or vocal expression extracted from the sensed information. The pain score may be output to a user or a process. The system may additionally include a neurostimulator that can adaptively control the delivery of pain therapy by automatically adjusting stimulation parameters based on the pain score.

Pain management based on emotional expression measurements

Systems and methods for pacing cardiac conductive tissue are described. An embodiment of a medical system includes an electrostimulation circuit to generate His-bundle pacing (HBP) pulses to stimulate a His bundle, and a cardiac event detector to detect a His-bundle activity within a time window following an atrial activity. The cardiac event detector may use a cross-chamber blanking, or an adjustable His-bundle sensing threshold, to avoid or reduce over-sensing of far-field atrial activity and inappropriate inhibition of HBP therapy. The electrostimulation circuit may deliver HBP in the presence of the His-bundle activity. The system may further recognize the detected His-bundle activity as either a FFPW or a valid inhibitory event, and deliver or withhold HBP therapy based on the recognition of the His-bundle activity.

Adjustable sensing in a his-bundle pacemaker

Systems and methods for calibrating an orientation of an implantable device in a patient is described. An exemplary system includes a calibration circuit that can receive acceleration information sensed from an implantable medical device (IMD) implanted in a patient, and receive reference acceleration information sensed from a reference device associated with the patient. The acceleration information and the reference acceleration information are acquired when the patient assumes a first posture or in a first position. The calibration circuit determines a spatial relationship between an orientation of the IMD and a reference orientation of the reference device using the received acceleration information and the received reference acceleration information, and calibrate subsequent acceleration information sensed from the IMD using the determined spatial relationship to correct for the orientation of the IMD.

Calibration of implantable device orientation

Systems and methods for managing pain in patient are described. A system may include sensors configured to sense physiological or functional signals, and a pain analyzer to generate signal metrics from the physiological or functional signals. The pain analyzer also generates weight factors corresponding to the signal metrics. The weight factors may indicate the signal metrics reliability in representing an intensity of the pain. The pain analyzer generates a pain score using a plurality of signal metrics and a plurality of weight factors. The pain score may be output to a user or a process. The system may additionally include an electrostimulator to generate and deliver closed-loop pain therapy according to the pain score.

Systems and methods for closed-loop pain management

Systems and methods for detecting an arrhythmic event and storing physiological information associated with the detected arrhythmic event are described. A system may include a first detector to detect an arrhythmic event from a physiological signal sensed from a subject, and generate a confidence indicator indicating a confidence level of the detection of the arrhythmic event. If the confidence indicator indicates a relatively high confidence of arrhythmia detection, the system may provide the detected arrhythmic event to a first process for storing the detected arrhythmic event or generating an alert. If the confidence indicator indicates a relatively low confidence of arrhythmia detection, the system may provide the detected arrhythmic event to at least a second process including confirming or rejecting the detected arrhythmic event.

Confidence of arrhythmia detection

Systems and methods for detecting physiologic events in a patient are described herein. An embodiment of a medical system includes a memory circuit to store physiologic event episodes detected and recorded by a medical device. The system includes a control circuit to analyze the stored physiologic event episodes, and determine a presence of a target cardiac event under a plurality of detection settings. Using the determined presence of the target cardiac event from the stored physiologic event episodes, and user adjudication of the stored event episodes, the control circuit may select, from the plurality of detection settings, a detection setting to detect a subsequent target cardiac event. The control circuit may also prioritize the physiologic event episodes for storage in the memory circuit.

Supervised cardiac event detection

An example of a system for managing pain may include a pain monitoring circuit, a pain relief device, and a control circuit. The pain monitoring circuit may include a parameter analyzer and a pain score generator. The parameter analyzer may be configured to receive and analyze at least two parameters selected from a physiological parameter indicative of a physiological function or state of a patient, a functional parameter indicative of a physical activity or state of the patient, or a patient parameter including subjective information provided by the patient. The pain score generator may be configured to compute a composite pain score using an outcome of the analysis. The composite pain score may indicate a degree of the pain. The pain relief device may be configured to deliver a pain-relief therapy. The control circuit may be configured to control the delivery of the pain-relief therapy using the composite pain score.

Method and apparatus for pain management using objective pain measure

This document discusses, among other things, systems and methods to detect an initial arrhythmia event indication and, after a threshold amount of detection window intervals detecting the initial arrhythmia event indication, adjust a set of arrhythmia parameters or at least one of a respective set of parameter thresholds to increase sensitivity of an extended arrhythmia event indication detection.

Long-duration arrhythmia detection

Systems and methods for pacing cardiac conductive tissue are described. In an embodiment, a medical system includes an electrostimulation circuit to generate pacing pulses to stimulate a His bundle or a bunch branch. A sensing circuit senses a far-field ventricular activation, determines a cardiac synchrony indicator using the far-field ventricular activation in response to His bundle or bundle branch pacing, and verifies His-bundle capture status using the determined cardiac synchrony indicator. The system can determine a pacing threshold using the capture status under different stimulation strength values. The electrostimulation circuit can deliver stimulation pulses in accordance with the determined pacing threshold.

His-bundle or bundle branch pacing capture verification

Systems and methods for managing medical information storage and transmission are discussed. A data management system may include a receiver circuit to receive information about a physiological event sensed from a patient, and an event prioritizer circuit to assign a priority to the received information. A control circuit may perform data reduction of the received information according to the assigned priority. Data reduction at a higher reduction rate is performed on the received information if a lower priority is assigned than if a higher priority is assigned. The system may include an output circuit to output the received information to a user or a process, or to transmit the received information to an external device, according to the assigned priority.

Priority-based medical data management system

Growing community of inventors

Coon Rapids, MN, United States of America

David L Perschbacher