Medtronic, Inc.

Medtronics, Inc.

Joel R Lauer

Yanina Grinberg

Robert T Sawchuk

Amy E Thompson-Nauman

Paul R Solheim

Douglas A Peterson

Karen J Kleckner

Vinod Sharma

Mary M Morris

Lonny V Cabelka

Michael W Heinks

Ruth N Klepfer

Timothy A Ebeling

Brian W Schousek

Joseph Ippolito

Craig W Dorma

Holly S Norman

Paul D Baker

James Vander Heyden

Yong Kyun Cho

Eduardo N Warman

Shantanu Sarkar

Tommy Dean Bennett

Kevin T Ousdigian

Robert T Taepke

Ekaterina M Ippolito

Kevin L Wong

Adam C Richardson

Robert W Sawchuk

Robert T Ii Taepke

An implantable cardioverter defibrillator (ICD) receives a cardiac electrical signal by a sensing circuit while operating in a sensing without pacing mode and detects asystole based on the cardiac electrical signal. The ICD determines, in response to detecting the asystole, if asystole backup pacing is enabled, and automatically switches to a temporary pacing mode in response to the asystole backup pacing being enabled. Other examples of detecting asystole and providing a response to detecting asystole by the ICD are described herein.

Asystole detection and response in an implantable cardioverter defibrillator

An extra-cardiovascular implantable cardioverter defibrillator (ICD) having a high voltage therapy module is configured to control a high voltage charging circuit to charge a capacitor to a pacing voltage amplitude to deliver charge balanced pacing pulses. The capacitor is chargeable to a shock voltage amplitude that is greater than the pacing voltage amplitude. The ICD is configured to enable switching circuitry of the high voltage therapy module to discharge the capacitor to deliver a first pulse having a first polarity and a leading voltage amplitude corresponding to the pacing voltage amplitude for pacing the patient's heart via a pacing electrode vector selected from extra-cardiovascular electrodes. The high voltage therapy module delivers a second pulse after the first pulse. The second pulse has a second polarity opposite the first polarity and balances the electrical charge delivered during the first pulse.

Charge balanced cardiac pacing from high voltage circuitry of an extra-cardiovascular implantable cardioverter defibrillator system

A method for monitoring a cardiovascular pressure in a patient includes measuring, by pressure sensing circuitry of an implantable pressure sensing device, the cardiovascular pressure of the patient. The method further includes transmitting, via wireless communication circuitry of the implantable pressure sensing device, the measured cardiovascular pressure to another device. The method further includes determining, by processing circuitry of the other device, whether a posture of the patient at a time of the measured cardiovascular pressure was a target posture for cardiovascular pressure measurements. The method further includes determining, by the processing circuitry of the other device, whether to store or discard the transmitted cardiovascular pressure based on determining whether the posture was the target posture.

Measuring cardiovascular pressure based on patient state

This disclosure is directed to devices, systems, and techniques for determining an efficacy of a treatment program. For example, a medical device system includes a medical device including one or more sensors configured to generate a signal that indicates a parameter of a patient. Additionally, the medical device system includes processing circuitry configured to receive data indicative of a user selection of a reference time; determine a plurality of parameter values of the parameter based on a portion of the signal corresponding to a period of time including the reference time. Additionally, the processing circuitry is configured to identify, based on a first set of parameter values, a reference parameter value, calculate a parameter change value, and determine, based on the parameter change value, whether an improvement or a worsening of the patient has occurred responsive to a treatment administered beginning at the reference time.

Determining an efficacy of a treatment program

A method for differentiating heart failure risk scores that includes receiving a current data transmission and acquiring patient metrics from a remote device, determining a daily heart failure risk score for each day occurring during a time period from a previous received data transmission to the current received data transmission based on the acquired patient metrics, determining a maximum daily heart failure risk score of the determined daily heart failure risk scores during a lookback window prior to the current received data transmission, determining a heart failure risk status alert for the received data transmission based on the temporal proximity of the determined maximum heart failure risk score and receipt of the current data transmission, selecting a type of notification based on the heart failure risk status differentiation, and indicating the transmission heart failure risk status and the heart failure risk status differentiation via the selected type of notification.

Differentiation of heart failure risk scores for heart failure monitoring

A method and device for differentiating heart failure risk scores that includes determining receipt of a current data transmission and acquiring patient metrics from a remote monitoring device, determining a daily heart failure risk score for each day occurring during a time period from a previous received data transmission to the current received data transmission based on the acquired patient metrics, and determining a maximum daily heart failure risk score of the determined daily heart failure risk scores during a lookback window prior to the current received data transmission. A heart failure risk score is determined for the received data transmission based on the determined maximum daily heart failure risk score, and a heart failure risk score alert is determined for the received data transmission based on the proximity of the determined maximum heart failure risk score and the current received data transmission. A display of at least one of the determined heart failure risk score and the determined heart failure risk score alert is generated, and the determined daily heart failure risk score for each day occurring during the time period and the generated display are stored.

Systems, devices disclosed provide example methods comprising determining that a triggering event has occurred based on statuses for a set of physiological parameters associated with the patient, the physiological parameters indicative of the patient engaging in a patient initiated physical activity, generating a trigger output signal in response to the determination that the triggering event has occurred, wirelessly transmitting the trigger output signal to a pressure sensing device implanted in a vessel of the patient, triggering, based on receiving the trigger output signal, the pressure sensing device to sense a cardiovascular pressure of the patient; and transmitting, by the pressure sensing device, a wireless signal comprising data corresponding to the sensed cardiovascular pressure of the patient.

Exercise triggered cardiovascular pressure measurement

Example techniques, systems, and devices select one or more portions of EGM signal data for presentation based on an identified cardiac episode type of the EGM signal data. For example, one or more processors are configured to receive cardiac electrogram (EGM) signal data collected from a medical device associated with a patient. The EGM signal data may include a detected cardiac episode identified as one of a plurality of episode types. The one or more processors may also be configured to select, based on the identified one of the plurality of episode types, one or more portions of the EGM signal data associated with the detected cardiac episode, and output the selected one or more portions of the EGM signal data.

Electrogram summary

Detection of volume depletion, particularly after an incidence of volume overload is disclosed. Various methods, systems, and devices are disclosed that sense and analyze a physiological parameter related to a patient's fluid level in order to warn patients of potentially dangerous volume depletion conditions while minimizing false notifications.

Volume depletion detection

Growing community of inventors

Clearwater, MN, United States of America

Joel R Lauer