Medtronic, Inc.

Case Western Reserve University

Cardioinsight Technologies, Inc.

Medtronics, Inc.

Raja N Ghanem

Robert W Stadler

Xusheng Zhang

Karen J Kleckner

Paul Gordon Krause

Ping Jia

Troy Edward Jackson

Charulatha Ramanathan

Yoram Rudy

Todd Jon Sheldon

David L Thompson

Timothy G Laske

Saul E Greenhut

H Toby Markowitz

Douglas A Hettrick

Xiaohong Zhou

William J Combs

Walter H Olson

Qingguo Zeng

Paul J Degroot

Ryan M Bokan

Brian P George

Qing Lou

Raphael Schneider

Kevin A Wanasek

Jeffrey B Adair

Connor S Edel

Rahsean Ellis

Veerdhaval Mahajan

A method and system for use with an implantable medical device for subcutaneous implant within a patient to determine a likelihood of the patient experiencing a cardiac event that includes sensing a cardiac signal along a plurality of different sensing vectors, determining state information of each vector of the plurality of sensing vectors, determining a cross correlation of the determined state information of each vector of the plurality of sensing vectors, comparing the cross correlation of the determined state information of each vector of the plurality of sensing vectors to a threshold, and detecting the cardiac event in response to the comparing.

Method and apparatus for detecting arrhythmias in a subcutaneous medical device

For example, one or more non-transitory computer-readable media includes executable instructions to perform a method. The method includes defining a plurality of spatial regions distributed across a geometric surface. At least one wave front that propagates across the geometric surface is detected based on electrical data representing electrophysiological signals for each of a plurality of nodes distributed on the geometric surface over at least one time interval. An indication of conduction velocity of the wave front is determined for at least one spatial region of the plurality of spatial regions during the time interval based on a duration that the wave front resides within the at least one spatial region. Slow conduction activity is identified for the at least one spatial region based on comparing the indication of conduction velocity relative to a threshold. Conduction data is stored in memory to represent each slow conduction event.

Detection of regions exhibiting irregular electrophysiological activity

A subcutaneously implantable cardiac medical device and a method of sensing a cardiac signal therein that includes a plurality of electrodes to sense a cardiac signal along a plurality of sensing vectors to detect a first interval and a second interval associated with a first detected event, and a processor configured to determine whether the first interval and the second interval are shorter than a predetermined threshold, determine whether the first interval and the second interval are similar, and determine, in response to the first interval and the second interval being similar, whether the sensed cardiac signal is either a noisy signal or a QRS signal.

A method and apparatus for detecting a cardiac event in a medical device that includes sensing cardiac signals from a plurality of electrodes, determining a relationship between a plurality of characteristics associated with a morphology of the cardiac signals sensed during a predetermined sensing window, generating a threshold in response to the determined relationship, comparing a first characteristic of the plurality of characteristics with the threshold, and determining whether the sensed cardiac signals are associated with the cardiac event in response to the comparing of the first characteristic.

A method of detecting cardiac signals in a medical device that includes decomposing a cardiac signal using a wavelet function at a plurality of scales to form a corresponding wavelet transform, determining approximation coefficients in response to the plurality of scales, reconstructing a first wavelet representation of the wavelet transform using predetermined approximation coefficients of the determined approximation coefficients, and evaluating the detected cardiac signals in response to the reconstructing.

Method and apparatus for discriminating cardiac signals in a medical device based on wavelet decomposition analysis

An implantable medical device and associated method for classifying a patient's risk for arrhythmias by sensing a cardiac electrogram (EGM) signal and selecting a first pair of T-wave signals and a second pair of T-wave signals. A first difference between the two T-wave signals of the first pair is compared to a second difference between the two T-wave signals of the second pair. A T-wave alternans phase reversal is detected in response to comparing the first difference and the second difference, and the patient's arrhythmia risk is classified in response to detecting the phase reversal.

Detection of T-wave alternans phase reversal for arrhythmia prediction and sudden cardiac death risk stratification

A medical device system and method for monitoring a cardiac signal in a patient senses ventricular R-waves and computes a morphology metric of an R-wave and a corresponding preceding morphology metric of a preceding R-wave. One of a difference and a ratio of the R-wave morphology metric and the preceding R-wave morphology metric is compared to an established detection threshold for discriminating premature ventricular contractions from premature atrial contractions. A cardiac signal measurement is computed from the sensed R-waves in response to detecting a premature ventricular comparison based on the comparison.

Automatic detection of premature ventricular complexes for heart rate turbulence measurements

A method of detecting a cardiac event in a medical device that includes sensing cardiac signals from a plurality of electrodes forming a first sensing vector and a second sensing vector, determining whether a signal energy content metric of the sensed cardiac signals is within predetermined limits, determining whether a noise to signal ratio of the sensed cardiac signals is less than a signal to noise threshold, determining whether the sensed cardiac signals are associated with muscle noise, and determining whether a mean frequency corresponding to the sensed cardiac signals is less than a mean frequency threshold.

Method and apparatus for detecting arrhythmias in a medical device

System and method for assessing a likelihood of a patient to experience a cardiac arrhythmia. A biological sensor is configured to sense biological parameters of the patient. A processor is coupled to the biological sensor and is configured to determine the likelihood of the patient experiencing a cardiac arrhythmia based, at least in part, on a combination of the biological parameters, the combination dynamically weighting each of the plurality of biological parameters based on another one of the plurality of biological parameters.

Continuous monitoring of risk burden for sudden cardiac death risk stratification

A method of detecting a cardiac event that includes sensing cardiac signals from a plurality of electrodes, determining rates of change of the sensed cardiac signals, and determining a range of the sensed cardiac signals. The sensed cardiac signals are detected as being associated with the cardiac event in response to the determined rates of change and the determined range.

A method of detecting a cardiac event in a medical device that includes sensing cardiac signals from a plurality of electrodes forming a first sensing vector and a second sensing vector, and determining whether the sensing of cardiac signals along the first sensing vector and along the second sensing vector is corrupted by noise. If the cardiac signals sensed along both the first sensing vector and the second sensing vector are not corrupted by noise, a determination is made as to whether the cardiac signals sensed along the first sensing vector and along the second sensing vector are one of a first cardiac event and a second cardiac event. The determination of whether the cardiac signals sensed along the first sensing vector and along the second sensing vector are one of a first cardiac event and a second cardiac event is then confirmed.

A method and apparatus for detecting a cardiac event in a medical device determine an activity level count from an activity sensor signal for each of a number of time segments, store an activity level count for each of the time segments in a histogram, and accumulate the stored activity level counts to determine a percentage of time segments having an activity level count above a given activity level count.

Method and apparatus for enhancing treatable arrhythmia detection specificity by using accumulated patient activity

A method and apparatus for adjusting a sensing parameter in a medical device that includes a sensing electrode sensing cardiac signals, a processor to determine an adjusting characteristic associated with the cardiac signals sensed over a predetermined sensing window, and a control unit to update the sensing parameter in response to the determined adjusting characteristic.

A method and apparatus of updating a sensing parameter in a medical device that includes sensing cardiac signals, determining intervals in response to the sensed cardiac signals, determining interval patterns associated with the determined intervals, and updating the sensing parameter in response to the determined interval patterns.

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Edina, MN, United States of America

Raja N Ghanem