Cardiac Pacemakers, Inc.

Boston Scientific Neuromodulation Corporation

Boston Scientific Scimed, Inc.

Cameron Health, Inc.

Deepa Mahajan

David L Perschbacher

Sunipa Saha

Yanting Dong

Keith L Herrmann

Krzysztof Z Siejko

Stephen John Hahn

Amy Jean Brisben

Pramodsingh Hirasingh Thakur

Allan Charles Shuros

Jeffrey E Stahmann

David J Ternes

Qi An

Dan Li

Venugopal Allavatam

Kevin G Wika

David Arthur Casavant

Arjun D Sharma

Clayton Scott Foster

Bhaskar Sen

Rosana Esteller

Shibaji Shome

Tianhe Zhang

Holly Elizabeth Rockweiler

Jonathan Walter Krueger

Keith R Maile

James O Gilkerson

Arthur J Foster

Aaron R McCabe

Viktoria A Averina

Abhilash Patangay

Christopher L Pulliam

Derek Daniel Bohn

Yayun Lin

Howard D Simms, Jr

David W Yost

Kenneth N Hayes

Gezheng Wen

Shijie Zhang

Chenguang Liu

Bruce R Forsyth

LeAnne M Eberle

Carolina Villarreal

Zhe Shen

Jeffry V Marshik

JoAnna Trapp Simpson

Paul Richard Holleran

Vijay Aditya Tadipatri

Muhammad A Ahmad

Abhijit Rajan

Kaith L Herrmann

Howard D Simms Jr

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

Systems and methods for cardiac pacing are described in this document. A medical system includes an electrostimulation circuit to generate His-bundle pacing (HBP) pulses to capture a His bundle, and LV pacing (LVP) pulses to capture a left ventricle. A sensing circuit may sense a cardiac activity, such as an atrial or an LV cardiac electrical activity. The system includes a control circuit controlling the delivery of HBP and LVP pulses. The HBP and LVP may be delivered concurrently or sequentially. In an example, the LVP pulses may be delivered based on a His-bundle capture status in response to the HBP pulse. The system may adjust one or more His-bundle stimulation parameters based on the His-bundle capture status.

His-bundle pacing system with left-ventricular pacing

A medical device system has a medical device interface configured to download data from an implanted medical device. Memory stores electrode location identification rules and display definitions. Each of the display definitions correspond to possible electrode placement locations of the implanted medical device. Processing circuitry is configured to compare the downloaded data from the implanted medical device to the electrode location identification rules to identify one or more actual electrode placement locations of the possible electrode placement locations of the implanted medical device. A user output interface is in communication with the processing circuitry. The processing circuitry is configured to cause the output to display the one or more actual electrode placement locations.

Identification of implanted electrode location

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

A system and method for extracting a cardiac signal from a spinal signal include measuring a spinal signal at one or more electrodes that are connected to a neurostimulator and implanted within a patient's spinal canal and processing the spinal signal to extract the cardiac signal, which includes features that are representative of the patient's cardiac activity. Processing the spinal signal to extract the cardiac signal can include filtering the spinal signal, or use of model reduction schemes such as independent component analysis. The extracted cardiac signal can include a number of features that correspond to an electrocardiogram and can be used to determine the patient's heart rate and/or to detect a cardiac anomaly. Cardiac features that are determined from the cardiac signal can additionally be used to adjust parameters of the stimulation that is provided by the neurostimulator.

System and methods for heart rate and electrocardiogram extraction from a spinal cord stimulation system

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 classifying a cardiac arrhythmia are discussed. An exemplary system includes a correlator circuit to generate autocorrelation sequences using information of cardiac activity of a subject, including signal segments taken from a cardiac signal at respective elapsed time with respect to reference time. The correlator circuit can generate a correlation image using the autocorrelation sequences. The correlation image may be constructed by stacking the autocorrelation sequences according to the elapsed time of signal segments. An arrhythmia classifier circuit can classify the cardiac activity of the subject as one of arrhythmia types using the correlation image.

Arrhythmia classification using correlation image

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

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 to determine an indication of patient dehydration are disclosed, including receiving first and second physiologic information of a patient, the first physiologic information including heart sound information of the patient and the second physiologic information different than the first physiologic information, and determining the indication of patient dehydration using the received first and second physiologic information.

Ambulatory dehydration monitoring during cancer therapy

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

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Roseville, MN, United States of America

Deepa Mahajan