Medtronic, Inc.

Medtronic Xomed, Inc.

Warsaw Orthopedic, Inc.

Medtronic Minimed, Inc.

Covidien LP

Medtronic Vascular, Inc.

Medtronic Monitoring, Inc.

Randal C Schulhauser

Richard L Brown

Patrick W Kinzie

Avram Scheiner

Matthew M Morrison

Kevin Lee McFarlin

Mohsen Askarinya

Jeff R Justis

Colin A Chong

Eric J Panken

James B Hissong

John Wainwright

James Kevin Carney

Mark D Breyen

Thomas P Miltich

Rafael Bikovsky

Brian Bruce Lee

Michael F Mattes

Akhil Srinivasan

Jadin C Jackson

Todd A Kallmyer

Eduardo N Warman

Jonathon E Giftakis

Shantanu Sarkar

Zhongping C Yang

David C Hacker

David A Anderson

Mark R Boone

Richard J O'Brien

Nicolas Coulombe

Rajiv Shah

Robert W Stadler

Peter Nicholas Braido

Joe Don Sartor

Andrew J Ries

Yong Kyun Cho

Saul E Greenhut

Jean-Pierre Lalonde

Jian L Cao

Erik R Scott

David Probst

Tyler S Stevenson

John G Pollock

Daniel Hahn

Santhisagar Vaddiraju

Jeff M Cherry

Emily Clare Byrne

Jeffrey R VanRaaphorst

Rebecca J Haag

Paul G Krause

Linnea R Lentz

Jennifer Lorenz Marckmann

Eric M Christensen

Alejo Chavez Gaxiola

Ekaterina M Ippolito

Julia Slopsema

Aaron Gilletti

Sneha Saikia

David A Ruben

Bradley Chi Liang

Anthony W Rorvick

Michael D Eggen

Kathryn Hilpisch

Kamal Deep Mothilal

Larry Earl Tyler

Charles R Gordon

Paul F Gerrish

James R Wasson

William C Harding

Brian T Kannard

David J Miller

John K Day

Patrick P Senarith

Ralph B Danzl

Becky L Dolan

Kenneth W Cooper

Maneesh Shrivastav

Eric M Rieder

Kris R Holtzclaw

Nathalie Virag

Clark B Norgaard

Jason C Lee

Matthew L Plante

ShaileshKumar V Musley

Bruce C Fleischhauer

Jeffrey O York

William Cope

Tho V Huynh

Osvaldo Andres Barrera

Eric C Maass

Gerard A Bast

Stacie Vilendrer

Dorothy Dominiack

Per Klype

Sharon Kohanna Murray

Scott Wayne Haskin

Gary Stefanov

Jon S Tracy

Mark Son

Novel tools and techniques are provided for implementing intelligent assistance ('IA') or extended intelligence (“EI”) ecosystem for pulmonary procedures. In various embodiments, a computing system might analyze received one or more first layer input data (i.e., room content-based data) and received one or more second layer input data (i.e., patient and/or tool-based data), and might generate one or more recommendations for guiding a medical professional in guiding a surgical device(s) toward and within a lung of the patient to perform a pulmonary procedure, based at least in part on the analysis, the generated one or more recommendations comprising 3D or 4D mapped guides toward, in, and around the lung of the patient. The computing system might then generate one or more XR images, based at least in part on the generated one or more recommendations, and might present the generated one or more XR images using a UX device.

Extended intelligence for pulmonary procedures

This disclosure is directed to systems and techniques for detecting change in patient health based upon patient data. In one example, a medical system comprising processing circuitry communicably coupled to a glucose sensor and configured to generate continuous glucose sensor measurements of a patient. The processing circuitry is further configured to: extract at least one feature from the continuous glucose sensor measurements over at least one time period, wherein the at least one feature comprises one or more of an amount of time within a pre-determined glucose level range, a number of hypoglycemia events, a number of hyperglycemia events, or one or more statistical metrics corresponding to the continuous glucose sensor measurements; apply a machine learning model to the at least one extracted feature to produce data indicative of a risk of a cardiovascular event; and generate output data based on the risk of the cardiovascular event.

Detection of changes in patient health based on glucose data

An implantable medical device (IMD) includes therapy delivery circuitry, sensing circuitry, and processing circuitry. The processing circuitry is configured to determine one or more sleep apnea therapy parameters, control the therapy delivery circuitry to deliver sleep apnea therapy via a first set of electrodes implantable within the patient in accordance with the one or more sleep apnea therapy parameters, and at least one of: (1) monitor a cardiac signal sensed with the sensing circuitry, or (2) determine one or more cardiac therapy parameters, and control the therapy delivery circuitry to deliver cardiac therapy via a second set of electrodes implantable within the patient in accordance with the one or more cardiac therapy parameters.

Integrated sleep apnea and at least one of cardiac monitoring and cardiac therapy

A system for detecting strokes includes a sensor device configured to obtain physiological data from a patient, for example brain activity data. The sensor device can include electrodes configured to be disposed at the back of the patient's neck or base of the skull. The electrodes can detect electrical signals corresponding to brain activity in the P3, Pz, and/or P4 brain regions or other brain regions. A computing device communicatively coupled to the sensor device is configured to receive the physiological data and analyze it to indicate whether the patient has suffered a stroke.

Systems and methods for detecting strokes

In some examples, a device includes at least three electrodes a first pair of electrodes and a second pair of electrodes. The device also includes circuitry configured to generate a first cardiac signal based on a first differential signal received across the first pair, generate a first brain signal based on the first differential signal received across the first pair, generate a second cardiac signal based on a second differential signal received across the second pair, and generate a second brain signal based on the second differential signal received across the second pair. The circuitry is also configured to output a composite cardiac signal based on the first cardiac signal and the second cardiac signal and to output a composite brain signal based on the first brain signal and the second brain signal.

Determining composite signals from at least three electrodes

A system including a range of motion, quality of sleep, overall, and control modules. The range of motion module, prior to a procedure being performed on a patient, determines a first range of motion score of the patient based on a first signal generated by a sensor. The quality of sleep module, prior to the procedure being performed on the patient, determines a first quality of sleep score or a first pain score based on the first signal. The overall module determines a combined score based on the first range of motion score and the first quality of sleep score or the first pain score. The control module compares the combined score to a predetermined threshold and predicts an outcome of the procedure based on the comparison. The control module, based on the combined score, determines whether to perform the procedure, adjust the procedure or refrain from performing the procedure.

Systems and methods for pre-operative procedure determination and outcome predicting

A system comprises a sensor device and processing circuitry. The sensor device comprises a housing configured to be disposed above shoulders of a patient, a plurality of electrodes on the housing, a motion sensor, and sensing circuitry configured to sense a brain electrical signal and a cardiac electrical signal via the electrodes, and a motion signal via the motion sensor. The processing circuitry is configured to determine values over time of one or more parameters from the brain electrical signal, determine values over time of one or more parameters from the cardiac electrical signal, and generate at least one of a detection, prediction, or a classification a condition of the patient based on the values and the motion signal.

Detection of patient conditions using signals sensed on or near the head

An embodiment of a sensor device includes a base substrate, a circuit pattern formed overlying the interior surface of the substrate, a physiological characteristic sensor element on the exterior surface of the substrate, conductive plug elements located in vias formed through the substrate, each conductive plug element having one end coupled to a sensor electrode, and having another end coupled to the circuit pattern, a multilayer component stack carried on the substrate and connected to the circuit pattern, the stack including features and components to provide processing and wireless communication functionality for sensor data obtained in association with operation of the sensor device, and an enclosure structure coupled to the substrate to enclose the interior surface of the substrate, the circuit pattern, and the stack.

Waferscale physiological characteristic sensor package with integrated wireless transmitter

A nerve integrity monitoring device includes a control module and a physical layer module. The control module is configured to generate a payload request. The payload request (i) requests a data payload from a sensor in a wireless nerve integrity monitoring network, and (ii) indicates whether a stimulation probe device is to generate a stimulation pulse. The physical layer module is configured to (i) wirelessly transmit the payload request to the sensor and the stimulation probe device, or (ii) transmit the payload request to a console interface module. The physical layer module is also configured to, in response to the payload request, (i) receive the data payload from the sensor, and (ii) receive stimulation pulse information from the stimulation probe device. The data payload includes data corresponding to an evoked response of a patient. The evoked response is generated based on the stimulation pulse.

Wireless nerve integrity monitoring systems and devices

A biocompatible medical device may include an electrochemical sensor including a common reference electrode; at least one counter electrode; and a work electrode platform comprising a plurality of respective work electrodes, each respective work electrode electrically coupled to the common reference electrode and comprising a respective reagent substrate configured to react with a respective analyte to produce a respective signal indicative of a concentration of the respective analyte; and processing circuitry operatively coupled to the electrochemical sensor, and configured to receive from the electrochemical sensor a plurality of signals from the plurality of respective work electrodes; identify the respective signal corresponding to a respective selected work electrode; and process the identified signal to determine the concentration of the respective analyte associated with the respective selected work electrode.

Electrochemical sensor including multiple work electrodes and common reference electrode

A method of implanting a lead includes inserting a needle through tissue near a chin of a patient and through a tongue of the patient, inserting an introducer through an opening created by the needle, and inserting the lead through the introducer, the lead comprising an elongated member and one or more electrodes in a distal portion of the elongated member such that the one or more electrodes are implantable proximate to one or more motor points of a protrusor muscle within the tongue of the patient, wherein inserting the lead comprises inserting the lead to have a shape of one of a helix, a compound helix, a wave shape, or saw-tooth shape, or to have a loop in the lead.

Medical lead for treating obstructive sleep apnea (OSA) with electrical stimulation

An example method includes receiving one or more physiological signals; detecting an apnea event based on the one or more physiological signals; determining that the apnea event cannot be characterized as one of a normal, OSA (obstructive sleep apnea), CSA (central sleep apnea), or combination OSA/CSA event; and outputting an electrical stimulation as a default based on determining that the apnea event cannot be characterized as a normal event, an OSA event, a CSA event, or combination OSA/CSA events.

Obstructive and central sleep apnea combination therapy control

A sensor including electrodes, a control module and a physical layer module. The electrodes are configured to (i) attach to a patient, and (ii) receive a first electromyographic signal from the patient. The control module is connected to the electrodes. The control module is configured to (i) detect the first electromyographic signal, and (ii) generate a first voltage signal. The physical layer module is configured to: receive a payload request from a console interface module or a nerve integrity monitoring device; and based on the payload request, (i) upconvert the first voltage signal to a first radio frequency signal, and (ii) wirelessly transmit the first radio frequency signal from the sensor to the console interface module or the nerve integrity monitoring device.

Wireless sensors for nerve integrity monitoring systems

Growing community of inventors

Phoenix, AZ, United States of America

Randal C Schulhauser