Mayo Foundation for Medical Education and Research

Boston Scientific Scimed, Inc.

Cardiac Pacemakers, Inc.

Anumana, Inc.

Biosig Technologies, Inc.

Suraj Kapa

Samuel J Asirvatham

Paul A Friedman

Francisco Lopez-Jimenez

Itzhak Zachi Attia

James P Rohl

Sarah Melissa Gruba

Douglas Dean Pagoria

Chance M Witt

Peter A Noseworthy

Murali Aravamudan

Stephen John Hahn

David R Wulfman

David R Holmes, Iii

Joel T Eggert

Venkataramanan Soundararajan

Adeniyi O Aremu

Douglas Pennington

Todd College

Christopher V DeSimone

James A Klos

Tyler Wagner

Matthew Hein

Samir Awasthi

Alexander David Wissner-Gross

Douglas L Packer

Corinne Carpenter

Katherine Carlson

Ammar M Killu

Hilary M Dubrock

Niyada Naksuk

Deepak Padmanabhan

Kenneth L Londoner

Natalia Drapeau

Desmond B Keenan

James Y Lee

Ammar Killu

Provided herein are methods, systems, and computer program products for the detection of pulmonary hypertension comprising receiving voltage-time data of a plurality of leads of an electrocardiograph of a subject; generating a feature vector from the voltage-time data; providing the feature vector to a pretrained learning system; and receiving from the pretrained learning system an indication of the presence or absence of pulmonary hypertension in the subject.

Noninvasive methods for detection of pulmonary hypertension

Systems, methods, devices, and techniques for estimating a heart disease prediction of a mammal. An electrocardiogram (ECG) procedure is performed on a mammal, and a computer system obtains ECG data that describes results of the ECG over a period of time. The system provides a predictive input that is based on the ECG data to a predictive model, such as a neural network or other machine-learning model. In response, the predictive model processes the input to generate an estimated heart disease predictive characteristic of the mammal. The system outputs the estimated heart disease prediction of the mammal for presentation to a user.

ECG-based cardiac ejection-fraction screening

Systems, methods, devices, and techniques for estimating an ejection-fraction characteristic of a mammal. An electrocardiogram (ECG) procedure is performed on a mammal, and a computer system obtains ECG data that describes results of the ECG over a period of time. The system provides a predictive input that is based on the ECG data to an ejection-fraction predictive model, such as a neural network or other machine-learning model. In response, the ejection-fraction predictive model processes the input to generate an estimated ejection-fraction characteristic of the mammal. The system outputs the estimated ejection-fraction characteristic of the mammal for presentation to a user.

Apparatuses and methods are provided to predict or diagnose an ischemic event, such as a stroke or a transient ischemic attack (TIA). A machine-learning model such as a neural network is generated that allows for recognition of an ECG consistent with an ischemic event. A system is trained and used to process a recording of ECG data from a patient to generate a prediction indicating a likelihood that the patient will experience a stroke. In other examples, a system is trained and used to process a recording of ECG data from a patient and detect an ischemic event for the patient who did not appear to have such an ischemic event.

Predicting transient ischemic events using ECG data

In various aspects, the present disclosure provides methods for applying ablation therapy to a target tissue region within a patient, which methods include: (a) navigating a catheter to a target tissue region within the patient, the catheter including an elongate body having a proximal portion and a distal portion and a balloon structure positioned at the distal portion of the elongate body, which balloon structure may be permeable to a calcium-ion-containing solution that comprises one or more calcium salts; (b) positioning the balloon structure at the target tissue region; (c) delivering energy to the target tissue region; and (d) eluting the calcium-ion-containing solution from the balloon structure before, during, and/or after delivering the energy to the target tissue region. In various other aspects, the present disclosure provides apparatuses that can be used for performing such methods, among others.

Calcium electroporation delivery apparatus and method

Particle or hadron therapy is used on abnormal tissue using carbon atoms, protons, or helium atoms run through a linear accelerator and then directed at the target in the body. This can be used to treat, for example, atrial fibrillation, ventricular tachycardia, hypertension, seizures, gastrointestinal maladies, etc. Contouring and gating may be used to account for cardiac and respiratory motion, helping reduce collateral damage.

System and method for carbon particle therapy for treatment of cardiac arrhythmias and other diseases

Methods, systems, and media are disclosed for reconstructing bioelectronic lead placement. In some embodiments, the disclosed system can include a processor configured to determine relationships between EP signals of one or more pairs of a plurality of electrodes over one or more sampling time periods, wherein the plurality electrodes are separately placed on a patient's body for collecting the EP signals, and to reconstruct geometry of the plurality of electrodes based on the relationships between the EP signals.

Methods, systems and media for reconstructing bioelectronic lead placement

Embodiments of the present disclosure relate to treating diseased tissue with ablation therapy. In an embodiment, an apparatus comprises a catheter having an elongate body extending between a proximal end and a distal end. The apparatus further includes a balloon structure arranged proximal to the distal end of the catheter, wherein the balloon structure has a first portion with a first permeability and a second portion with a second permeability such that the first permeability is different than the second permeability. In addition, the apparatus includes a first electrode arranged on or within the balloon structure and configured to: transmit current through the first portion, receive current transmitted through the first portion or both.

Ablation delivery using a catheter having a semipermeable inflatable balloon structure

The present disclosure relates generally to electroporation systems and utilizing algorithms for electroporation pulse delivery including a patient's EKG/EGM monitoring. In some embodiments, an electroporation delivery system may include an electrocardiogram operatively connected to a processing device and a memory. One or more sensors may be operatively connected to the electrocardiogram for measuring electrical activity QRS complex of a patient's heart. One or more electrodes for treatment may be disposed in, at, or near the patient's heart, the one or more electrodes operatively connected to a pulse delivery mechanism. The electroporation delivery system may be configured to determine whether an electroporation pulse is deliverable to a patient based on the electrocardiogram.

Electroporation delivery systems and methods of using electroporation delivery systems

Various aspects of the present disclosure are directed toward apparatuses, systems, and methods for applying ablation therapy to a tissue region. The apparatuses, systems, and methods may include a balloon structure and one or more electrodes arranged on or within the balloon structure and configured to deliver energy to the tissue region.

Stenosis prevention and ablation delivery system

Growing community of inventors

Rochester, MN, United States of America

Suraj Kapa