Medtronic, Inc.

Covidien LP

Other

Medtronics, Inc.

Medtronic Avecore Cardiovascular, Inc.

Richard J O'Brien

Can Cinbis

Jonathan L Kuhn

David A Anderson

James Kevin Carney

Avram Scheiner

Yong Kyun Cho

Michael F Mattes

James D Reinke

David A Ruben

Jonathon E Giftakis

Rodolphe Katra

Eric J Panken

Randal C Schulhauser

D Curtis Deno

Thomas J Mullen

Jonathan P Roberts

John Wainwright

Lilian Kornet

Richard N Cornelussen

Michael B Terry

George Patras

Kamal Deep Mothilal

Andrew J Ries

Saul E Greenhut

Jian L Cao

Eduardo N Warman

Amy E Thompson-Nauman

Vinod Sharma

Thomas A Anderson

Vladimir Pavlovich Nikolski

Melissa G T Christie

Mark R Boone

Todd M Zielinski

Brian Bruce Lee

Mohsen Askarinya

Patrick W Kinzie

Michael A Schugt

Paul F Gerrish

John K Day

Malcolm Grief

Ruth N Klepfer

Michael P Campbell

Raphael Schneider

Tom Dean Bennett

David Probst

Thomas D Brostrom

Douglas Dean Nippoldt

David R Bloem

Paul G Krause

Yaling Fan

Ekaterina M Ippolito

Scott J Davis

Amir R Zamiri

Ralph B Danzl

Anna J Malin

Alfonso Aranda Hernandez

Geoffrey DeWitt Batchelder

Clark B Norgaard

Nathalie Virag

Tyler Mueller

Eric M Christensen

Bushan K Purushothaman

Richard A Sorich

Aaron Gilletti

Alan Wirbisky

Scott DeFoe

Philip E Tracton

Taylor R Anderson

Lloyd E Graupman

Douglas J Zimmerman

Mark Phelps

Malcolm K Grief

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 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 implantable medical device, such as a sensor for monitoring a selected internally detectable physiological parameter of a patient, is attached to a fixation assembly that is deployable within the patient to position and orient the sensor to enable it to perform its function. The fixation assembly is formed having at least one flexible asymmetric connector where each fixation member includes a plurality of loops, wherein a first loop of the plurality of loops has a maximum pitch that is different from a maximum pitch of a second loop of the plurality of loops. The attachment of the housing and the fixation assembly includes providing a tubular member that is welded to the housing and crimped over a section of the fixation assembly.

Implantable medical sensor and fixation system

A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

Self-calibrating glucose monitor

In some examples, the disclosure describes an implantable medical device comprising a plurality of electrodes, sensing circuitry configured to sense a physiological electrical signal via the plurality of electrodes, and communication circuitry configured to transmit and/or receive a transconductance communication signal via the plurality of electrodes, wherein at least one electrode of the plurality of electrodes comprises a lower-capacitance portion and a higher-capacitance portion.

Implanted electrode configuration for physiological sensing and tissue conductance communication

A rechargeable cell of an implantable medical device is recharged by an external charging unit that includes a transmitting coil configured to emit an electromagnetic field and a near-field focusing plate having a subwavelength structure pattern that focuses the emitted electromagnetic field to a focal pattern. The implantable medical device includes a housing having a window of an electromagnetically transparent material and a receiving coil enclosed by the housing. The receiving coil extends adjacent to and is aligned with the window. The rechargeable cell is enclosed by the housing and is configured to be charged by current induced in the receiving coil when the receiving coil is exposed to the focal pattern. In some examples, the near-field focusing plate is configured to produce the focal pattern to have a size that is less than an outer dimension of the window and a focal length from the near-field focusing plate that at least reaches the window.

Focused power transfer for implantable medical device

The exemplary systems and methods may monitor one or more signals to be used to assess the hemodynamic status of a patient. The one or more signals may be used to calculate, or determine, a plurality of pulse transit times. The plurality of pulse transit times may be used to determine hemodynamic status values that may be indicative of a patient's aggregate hemodynamic status.

Systems and methods for monitoring hemodynamic status

A medical device system is configured to sense a physiological signal by a first device and generate a control signal by the first device in response to the physiological signal. An optical transducer is controlled by the first device to emit an optical trigger signal in response to the control signal. A second device receives the optical trigger signal and delivers an automatic therapy to a patient in response to detecting the optical trigger signal.

Optical trigger for therapy delivery

A pressure sensing system provides signals representative of a magnitude of pressure at a selected site. A sensor module includes a first transducer producing a first signal having an associated first response to pressure and strain applied to the sensor module and a second transducer producing a second signal having an associated second response to pressure and strain applied to the sensor module. A calculated pressure, a bending pressure error and a bend-compensated pressure are computed in response to the first signal and the second signal.

Strain compensation for pressure sensors

Communication power in a medical device system is managed by providing power from a power supply to a communication circuit in a sensing device according to a first communication wake up mode set for a first time period and according to a second communication wake up mode set for a second time period. The second communication wake-up mode is established by a second device.

Ultralow-power implantable hub-based wireless implantable sensor communication

This disclosure provides an extravascular ICD system and method for defibrillating a heart of a patient. The extravascular ICD system includes multiple extravascular electrical stimulation leads or lead segments located in close proximity to one another and having respective defibrillation electrodes. The ICD system utilizes the multiple defibrillation electrodes to form an extravascular electrode vector that may result a reduction in the shock impedance and/or a reduction in the DFT compared to extravascular ICD systems that include only a single extravascular defibrillation electrode. An ICD of the system may, for example, deliver a defibrillation shock using an electrode vector in which a first polarity of the electrode vector is formed by electrically coupling first and second defibrillation electrodes of first and second leads, respectively, to the therapy circuitry and a second polarity of the electrode vector is formed by electrically coupling a housing of the ICD to the therapy circuitry.

Implantable cardioverter-defibrillator (ICD) system having multiple common polarity extravascular defibrillation electrodes

A medical device system is configured to sense a physiological signal by a first device and generate a control signal by the first device in response to the physiological signal. An acoustical emitting device is controlled by the first device to emit an acoustical trigger signal in response to the control signal. A second device detects the acoustical trigger signal and delivers an automatic therapy to a patient in response to detecting the acoustical trigger signal.

Acoustically triggered therapy delivery

A medical device includes a first substrate, a second substrate, a control module, and an energy storage device. The first substrate includes at least one of a first semiconductor material and a first insulating material. The second substrate includes at least one of a second semiconductor material and a second insulating material. The second substrate is bonded to the first substrate such that the first and second substrates define an enclosed cavity between the first and second substrates. The control module is disposed within the enclosed cavity. The control module is configured to at least one of determine a physiological parameter of a patient and deliver electrical stimulation to the patient. The energy storage device is disposed within the cavity and is configured to supply power to the control module.

Wafer-scale package including power source

Growing community of inventors

Hugo, MN, United States of America

Richard J O'Brien