Medtronic, Inc.

Ryan D Wyszynski

Shantanu Sarkar

Jerry D Reiland

Grant Alan Neitzell

Hyun J Yoon

Charles R Gordon

Daniel L Hansen

Robert Michael Ecker

Nicholas C Wine

Matthew P Hanly

David Jerome Peichel

Paul Gordon Krause

Joseph C Green

Gary J Pauly

Wade M Demmer

Michael B Terry

Bo Zhang

Paul J DeGroot

Kevin T Ousdigian

Matthew R Yoder

Eric R Williams

Christopher D Koch

Jon E Thissen

Val D Eisele

Drew J Thwaites

Sudar Shields

James R Peichel

Robert W Stadler

Yong Kyun Cho

Daniel M Gelfman

Matthew J Hoffman

Gerald M Herman

Erin N Reisfeld

Stephen M Nelson

David R Walsh

John R Pohl

Melani G Sullivan

Matthew L Hanly

Patrick Gerrells

Evan S Johnson

Matthew P Hanley

Hyan J Yoon

Grant Alan Neitzel

Techniques and devices for implementing the techniques for adjusting atrial arrhythmia detection based on analysis of one or more P-wave sensing windows associated with one or more R-waves. An implantable medical device may determine signal characteristics of the cardiac signal within the P-wave sensing window, determine whether the cardiac signal within the sensing window corresponds to a P-wave based on the determined signal characteristics, determine a signal to noise ratio of the cardiac signal within the sensing window, update the arrhythmia score when the P-wave is identified in the sensing window and the determined signal to noise ratio satisfies a signal to noise threshold.

Method and apparatus for atrial arrhythmia episode detection

A system comprises processing circuitry and memory comprising program instructions that, when executed by the processing circuitry, cause the processing circuitry to: apply a first set of rules to first patient parameter data for a first determination of whether sudden cardiac arrest of a patient is detected; determine that a one or more context criteria of the first determination are satisfied; and in response to satisfaction of the context criteria, apply a second set of rules to second patient parameter data for a second determination of whether sudden cardiac arrest of the patient is detected. At least the second set of rules comprises a machine learning model, and the second patient parameter data comprises at least one patient parameter that is not included in the first patient parameter data.

Acute health event monitoring

Techniques for switching an implantable medical device (IMD) from a first mode to a second mode in relation to signals obtained from internal sensors are described. The internal sensors may include a temperature sensor and a biosensor. In some examples, processing circuitry of the IMD may make a first preliminary determination that the IMD is implanted based on a first signal from the temperature sensor. In response to the first preliminary determination being that the IMD is implanted, the processing circuitry may make a second preliminary determination that the IMD is implanted based on a second signal from the biosensor. The processing circuitry may switch the IMD from a first mode to a second mode based on both the first preliminary determination and the second preliminary determination being that the IMD is implanted.

Implantable medical device using internal sensors to determine when to switch operational modes

This disclosure is directed to devices, systems, and techniques for establishing a secure connection between two or more devices. In some examples, a device is configured for wireless communication. The device comprises signal reception circuitry configured to receive communications transmitted according to at least a first communication protocol, communication circuitry configured for wireless communication according to at least a second communication protocol, and processing circuitry electrically coupled to the signal reception circuitry and the communication circuitry. The processing circuitry is configured to receive, via the signal reception circuitry, a first signal according to the first communication protocol. In response to receiving the first signal, the processing circuitry is further configured to transmit, via the communication circuitry, a second signal according to the second communication protocol and establish a secure link according to the second communication protocol.

Establishing a secure communication link

A method comprises identifying P-waves within a cardiac signal stored by a medical device for a cardiac episode detected by the medical device, and calculating a gain factor for display of the cardiac signal based on the identified P-waves.

Electrocardiogram gain adjustment

An example device of a patient includes an antenna configured to wirelessly receive communication from a medical device; and processing circuitry coupled to the antenna and configured to: determine that the received communication indicates that a patient is experiencing an acute health event; in response to the determination, determine one or more physical states of the patient based on sensed data from one or more sensors; confirm that the patient is not experiencing the acute health event based on the determined one or more physical states; and output information based on the confirmation that the patient is not experiencing the acute health event.

Automatic alert control for acute health event

Techniques are disclosed for using a rate of wireless telemetry of an implantable medical device (IMD) to estimate a remaining longevity of a power source of the IMD. For example, the IMD sets a timer indicative of a remaining power capacity of the power source until a recommended replacement time (RRT) threshold. The IMD determines a power consumption of the IMD due to telemetry and updates, based on the power consumption of the IMD due to telemetry, the timer indicative of the remaining power capacity of the power source. The IMD determines, based on expiration of the timer indicative of the remaining power capacity of the power source, that the power source has reached the RRT threshold. In some examples, the IMD may output, to an external device and for display to a user, an indication that the power source has reached the RRT threshold.

Power source longevity

Techniques for facilitating telemetry between a medical device and an external device are provided. In one example, a medical device includes a classification component and a communication component. The classification component is configured to determine a classification for data generated by the medical device. The classification component is also configured to determine an urgency level for an advertising data packet based on the classification for the data. The communication component is also configured to broadcast the advertising data packet for the medical device at a defined beaconing rate based on the urgency level for the advertising data packet.

Facilitating urgency modulated beaconing rates for medical devices

Techniques and devices for implementing the techniques for adjusting atrial arrhythmia detection based on analysis of one or more P-wave sensing windows associated with one or more R-waves. An implantable medical device may determine signal characteristics of the cardiac signal within the P-wave sensing window, determine whether the cardiac signal within the sensing window corresponds to a P-wave based on the determined signal characteristics, determine a signal to noise ratio of the cardiac signal within the sensing window, update the arrhythmia score when the P wave is identified in the sensing window and the determined signal to noise ratio satisfies a signal to noise threshold.

An implantable medical device and method for determining an atrial arrhythmia event that includes a cardiac sensing device comprising a housing having circuitry positioned therein, a plurality of electrodes electrically coupled to the circuitry to sense a cardiac signal, and a processor configured to generate an initial detection of an atrial arrhythmia event in response to an atrial arrhythmia threshold, determine whether a P-wave occurs during the initial detection, determine an adaptive threshold in response to the P-wave being detected, adjust the atrial arrhythmia threshold in response to the adaptive threshold, and generate a subsequent initial detection of an atrial arrhythmia event using the adjusted atrial arrhythmia threshold.

Method and apparatus for adjusting a threshold during atrial arrhythmia episode detection in an implantable medical device

A system including a programmable implantable monitoring device and a programmer for programming the device and a method of use thereof. The programmer may be configured to transmit programming commands responsive to entry of a reason for monitoring to the implantable device including a prioritization of an arrhythmia storage criterion. The implantable may be configured to thereafter store and/or transmit records of the arrhythmia according to the prioritization. The programmer may be configured to transmit the patient's age to the implantable device and the implantable may be configured to thereafter apply arrhythmia detection criteria based upon the patient's age.

Method and apparatus for automatic configuration of implantable medical devices

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Oak Grove, MN, United States of America

Ryan D Wyszynski