Yanting Dong - Shoreview MN, US Scott A. Meyer - Rochester MN, US Kevin John Stalsberg - White Bear Lake MN, US
Assignee:
Cardiac Pacemakers, Inc. - St. Paul MN
International Classification:
A61N 1/368
US Classification:
607 28, 607 15
Abstract:
Multi-chamber pacing may result in capture of one chamber, capture of multiple chambers, fusion, or non-capture. Approaches for detecting various capture conditions during multi-chamber pacing are described. Pacing pulses are delivered to left and right heart chambers during a cardiac cycle. A cardiac electrogram signal is sensed following the delivery of the pacing pulses. Left chamber capture only, right chamber capture only, and bi-chamber capture may be distinguished based on characteristics of the cardiac electrogram signal. Multi-chamber capture detection may be implemented using detection windows having dimensions of time and amplitude. The detection windows are associated with expected features, such as expected signal peaks, under a particular capture condition. The cardiac electrogram signal features are compared to detection windows to determine the capture condition.
Pacing Output Determination Based On Selected Capture Threshold Values
John Michael Voegele - Bethel MN, US Clayton Scott Foster - Andover MN, US David William Yost - Brooklyn Park MN, US Scott A. Meyer - Rochester MN, US Yanting Dong - Shoreview MN, US Kevin John Stalsberg - White Bear Lake MN, US Derek Daniel Bohn - Woodbury MN, US Eric Keith Enrooth - Lino Lakes MN, US
Assignee:
Cardiac Pacemakers, Inc. - St. Paul MN
International Classification:
A61N 1/365 A61N 1/08
US Classification:
607 28
Abstract:
Adjusting the pacing energy involves performing a plurality of capture threshold tests, each capture threshold test measuring a capture threshold of the heart. One or more measured captured thresholds are selected, including at least one capture threshold that is higher relative to other measured capture thresholds acquired by the plurality of capture threshold tests. The pacing energy is adjusted based on the one or more selected capture thresholds.
Cardiac Signal Template Generation Using Waveform Clustering
Scott A. Meyer - Rochester MN, US Yanting Dong - Shoreview MN, US
Assignee:
Cardiac Pacemakers, Inc. - St. Paul MN
International Classification:
A61N 1/08
US Classification:
607 28, 607 11, 607 27, 600510
Abstract:
Cardiac devices and methods using cardiac waveform clustering for template generation are described. A method of characterizing a cardiac response involves delivering pacing pulses to heart, the pulses having an energy greater than a capture threshold. Cardiac signals are sensed following the pulses. Cardiac signal characteristics, waveforms, and/or features are clustered into a plurality of clusters. A cardiac response template is formed using one or more of the plurality of clusters.
Yanting Dong - Shoreview MN, US Scott A. Meyer - Rochester MN, US Qingsheng Zhu - Wexford PA, US
Assignee:
Cardiac Pacemakers, Inc. - St. Paul MN
International Classification:
A61B 5/04
US Classification:
600510
Abstract:
Methods and systems involve classifying the cardiac response to pacing using a multi-channel approach. Multiple cardiac response signals are sensed via multiple sense channels. Each sense channel comprises a distinct combination of electrodes and sensing circuitry. The cardiac response to the pacing pulse is classified based on the morphology of the cardiac response signals. Classifying the cardiac response involves discriminating between capture, fusion, non-capture, and non-capture with intrinsic activity.
Adaptive Windowing For Cardiac Waveform Discrimination
Kevin John Stalsberg - White Bear Lake MN, US Yanting Dong - Shoreview MN, US Scott A. Meyer - Rochester MN, US Eric Keith Enrooth - Lino Lakes MN, US Derek Daniel Bohn - Woodbury MN, US
Assignee:
Cardiac Pacemakers, Inc. - St. Paul MN
International Classification:
A61B 5/04 A61N 1/08
US Classification:
607 28, 600509, 607 27
Abstract:
Cardiac devices and methods provide adaptation of detection windows used to determine a cardiac response to pacing. Adapting a detection window involves sensing a cardiac signal indicative of a particular type of cardiac pacing response, and detecting a feature of the sensed cardiac signal. The cardiac response detection window associated with the type of cardiac pacing response is preferentially adjusted based on the location of the detected cardiac feature. Preferential adjustment of the detection window may involve determining a direction of change between the detection window and the detected feature. The detection window may be adapted more aggressively in a more preferred direction and less aggressively in a less preferred direction.
Systems And Methods For Improving Heart Rate Kinetics In Heart Failure Patients
Donald L. Hopper - Maple Grove MN, US Yinghong Yu - Shoreview MN, US Yanting Dong - Shoreview MN, US
Assignee:
Cardiac Pacemakers, Inc. - St. Paul MN
International Classification:
A61N 1/365
US Classification:
607 19, 607 9, 607 17, 607 18, 607 20
Abstract:
Adaptive rate pacing for improving heart rate kinetics in heart failure patients involves determining onset and sustaining of patient activity. The patient's heart rate response to the sustained activity is evaluated during a time window defined between onset of the activity and a steady-state exercise level. If the patient's heart rate response to the sustained activity is determined to be slow, a pacing therapy is delivered at a rate greater than the patient's intrinsic heart rate based on a profile of the patient's heart rate response to varying workloads. If determined not to be slow, the pacing therapy is withheld. Monitoring-only configurations provide for acquisition and organization of physiological data for heart failure patients. These data can be acquired on a per-patient basis and used to assess the HF status of the patient.
Selection Of Cardiac Signal Features Detected In Multiple Classification Intervals For Cardiac Pacing Response Classification
Scott A. Meyer - Rochester MN, US Yanting Dong - Shoreview MN, US Kevin John Stalsberg - White Bear Lake MN, US
Assignee:
Cardiac Pacemakers, Inc. - St. Paul MN
International Classification:
A61N 1/362 A61N 1/365
US Classification:
607 27, 607 28, 600510
Abstract:
Cardiac devices and methods involve the detection of cardiac signals features in adjacent classification intervals. Portions of the cardiac signal features detected in adjacent classification intervals are associated and are used to classify the cardiac response to a pacing pulse. Associating the portions of the cardiac signal features may be based on expected signal morphology.
Pacing Management During Cardiopulmonary Resuscitation
Quan Ni - Shoreview MN, US Yanting Dong - Shoreview MN, US
Assignee:
Cardiac Pacemakers, Inc. - St. Paul MN
International Classification:
A61N 1/36 A61N 1/39
US Classification:
607 3, 607 4, 607 17, 600515
Abstract:
Systems and methods provide for coordinated cardiac pacing with delivery of cardiopulmonary resuscitation (CPR) to a patient. Managing cardiac pacing in a patient during a cardiac arrhythmia involves detecting a cardiac arrhythmia using a patient implantable medical device, prompting a cardiopulmonary resuscitation compression, and delivering, using the patient implantable medical device, a pacing pulse to a heart chamber in coordination with the compression prompt.
Humana
Data Science Fellow
Humana Sep 2014 - Sep 2015
Strategic Consultant
Humana Jan 2013 - Aug 2014
Program Manager
Humana Oct 2011 - Dec 2012
Predictive Modeling and Data Mining Scientist
Boston Scientific Oct 2006 - Oct 2011
Prin Research Scientist
Education:
Duke University
Tianjin University
Skills:
Medical Devices Biomedical Engineering R&D Machine Learning Data Mining Data Analysis Fda Signal Processing Clinical Trials Science Clinical Research Statistics Project Management Biotechnology Validation Lifesciences Algorithms Image Processing Clinical Development Electrophysiology Patents
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