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Research

Explore our publications and presentations to learn more about the research efforts of the Cardiovascular Research and Artificial Intelligence Center at KU Medical Center.

 Abstracts

  1. Abstract 12722: Cardiac Resynchronization Therapy in Pacing Induced Cardiomyopathy: A Higher Right Ventricle Pacing Percentage Predicts Greater Improvement in Left Ventricle Ejection Fraction Sean Lacy, Jonathan Chandler, Nachiket M Apte, Seth Sheldon, Madhu Reddy, Raghuveer Dendi, Rhea C Pimentel, Loren D Berenbom, Martin Emert, Rigoberto Ramirez, Amit Noheria Circulation 2020 https://dx.doi.org/10.1161/circ.142.suppl_3.12722
  2. A NOVEL SIGNAL PROCESSING METHOD TO FILTER OUT PACING ARTIFACTS FROM ECG: IMPROVING MEASUREMENT OF QRS VOLTAGE TIME INTEGRAL AFTER CARDIAC RESYNCHRONIZATION THERAPY Christopher Harvey, Amit Noheria Journal of the American College of Cardiology 2021 https://dx.doi.org/10.1016/s0735-1097(21)01730-7
  3. 3D QRS AREA CALCULATION FROM X, Y, Z VECTORCARDIOGRAPHIC LEADS: AREA SUBTENDED BY NEGATIVE DEFLECTIONS SHOULD BE ADDED AND NOT SUBTRACTED Uzair Mahmood, Christopher J. Harvey, Nikhil Parimi, Amit Noheria Journal of the American College of Cardiology 2021 https://dx.doi.org/10.1016/s0735-1097(21)01723-x
  4. QRS 3D VOLTAGE TIME INTEGRAL (3D QRS AREA) IN CARDIOMYOPATHY AND NARROW QRS COMPLEX Uzair Mahmood, Nikhil Parimi, Christopher J. Harvey, Seth Sheldon, Madhu Reddy, Amit Noheria Journal of the American College of Cardiology 2021 https://dx.doi.org/10.1016/s0735-1097(21)01707-1
  5. QRS 3D VOLTAGE TIME INTEGRAL (3D QRS AREA) IN HEALTHY SUBJECTS Uzair Mahmood, Nikhil Parimi, Christopher J. Harvey, Seth Sheldon, Madhu Reddy, Amit Noheria Journal of the American College of Cardiology 2021 https://dx.doi.org/10.1016/s0735-1097(21)01713-7
  6. STEREOTACTIC CARDIAC RADIOTHERAPY FOR REFRACTORY VENTRICULAR TACHYCARDIA: A METAANALYSIS Farhad Sami, John Anderson, Moghniuddin Mohammed, Habeeb Saleh, David Akhavan, Seth Sheldon, Madhu Reddy, Amit Noheria Journal of the American College of Cardiology 2021 https://dx.doi.org/10.1016/s0735-1097(21)01747-2
  7. CHANGE IN QRS 3D VOLTAGE TIME INTEGRAL (3D QRS AREA) WITH CARDIAC RESYNCHRONIZATION THERAPY PREDICTS SUBSEQUENT LEFT VENTRICULAR REVERSE REMODELING AND HEART FAILURE HOSPITALIZATIONS Tucker Morey, Christopher J. Harvey, Uzair Mahmood, Nikhil Parimi, Sean Lacy, Ashley DeBauge, Seth Sheldon, Madhu Reddy, Amit Noheria Journal of the American College of Cardiology 2021 https://dx.doi.org/10.1016/s0735-1097(21)01718-6
  8. ONLY THE Z-AXIS COMPONENT OF QRS 3D VOLTAGE TIME INTEGRAL (3D QRS AREA) IS PREDICTIVE OF CARDIAC RESYNCHRONIZATION THERAPY BENEFIT Tucker Morey, Christopher J. Harvey, Uzair Mahmood, Nikhil Parimi, Sean Lacy, Ashley DeBauge, Seth Sheldon, Madhu Reddy, Amit Noheria Journal of the American College of Cardiology 2021 https://dx.doi.org/10.1016/s0735-1097(21)01716-2
  9. REDUCTION IN QRS 3D VOLTAGE TIME INTERVAL (3D QRS AREA) IS ASSOCIATED WITH IMPROVEMENT IN LEFT VENTRICLUAR EJECTION FRACTION AMONG HEART FAILURE PATIENTS ON SACUBITRIL-VALSARTAN Nikhil Parimi, Uzair Mahmood, Anas Abudan, Farhad Sami, Christopher Harvey, Colton Schwarz, Michael Pierpoline, Andrew Sauer, Bhanu Gupta, Madhu Reddy, Seth Sheldon, Amit Noheria Journal of the American College of Cardiology 2021 https://dx.doi.org/10.1016/s0735-1097(21)01724-1
  10. ELECTRICAL REVERSE REMODELING WITH SACUBITRIL-VALSARTAN FOR HEART FAILURE: REDUCTION IN QRS 3D VOLTAGE TIME INTERVAL (3D QRS AREA) Nikhil Parimi, Uzair Mahmood, Anas Abudan, Farhad Sami, Christopher Harvey, Colton Schwarz, Michael Pierpoline, Andrew Sauer, Bhanu Gupta, Madhu Reddy, Seth Sheldon, Amit Noheria Journal of the American College of Cardiology 2021 https://dx.doi.org/10.1016/s0735-1097(21)01710-1
  11. EFFECT OF SACUBITRIL/VALSARTAN ON ELECTRICAL AND STRUCTURAL REVERSE REMODELING IN PATIENTS WITH HEART FAILURE WITH REDUCED EJECTION FRACTION Anas Abudan, Farhad Sami, Uzair Mahmood, Nikhil Parimi, Colton Schwarz, Michael Pierpoline, Moghniuddin Mohammed, Raghuveer Dendi, Rhea Pimentel, Loren Berenbom, Martin Emert, Rigoberto Ramirez, Amit Noheria, Madhu Reddy, Andrew Sauer, Bhanu Gupta, Seth Sheldon Journal of the American College of Cardiology 2021 https://dx.doi.org/10.1016/s0735-1097(21)02018-0

Publications

  1. Artificial intelligence in cardiovascular medicine Sagar Ranka, Madhu Reddy, Amit Noheria Artificial intelligence is a broad set of sophisticated computer-based statistical tools that have become widely available. Cardiovascular medicine with its large data repositories, need for operational efficiency and growing focus on precision care is set to be transformed by artificial intelligence. Applications range from new pathophysiologic discoveries to decision support for individual patient care to optimization of system-wide logistical processes. Current Opinion in Cardiology 2020 https://dx.doi.org/10.1097/hco.0000000000000812
  2. Automated Pacing Artifact Removal in Electrocardiograms Harvey, A. Noheria, D. Tahmoush Electrocardiogram (ECG) is a basic and ubiquitous clinical tool to evaluate the electrical activity of the heart. Research and commercial software make automated calculations and interpretations from ECGs that have clinical value. An artificial pacemaker can however change the ECG and invalidate routine interpretation. Automated evaluation of paced ECGs is further hampered by electrical pacing artifacts that distort the physiological electrical signal. Sophisticated pacing systems like cardiac resynchronization therapy further complicate the problem by introducing pacing artifacts that are not only preceding but are also within the relevant ECG signal where they simply cannot be ignored. The pacing spike generates outliers that skews results and hinders both regression analysis and principal component analysis of the physiological signal. This is the first paper to show effective elimination of pacing spike outliers in ECGs. In order to eliminate pacing spikes, this paper proposes a novel filter and compares to prior techniques used in alternate fields. This filter uses modified Z-scores calculated from detrended data to locate outliers and replaces the spikes with a hyperbolic cosine function that connects the gap created from removing the spikes. The filtering improves the QRS area measurement by over 46% compared to median filtering and 65.2 % compared to unfiltered ECGs. The filter is fast (7.53 ms) and inexpensive. 2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) 2020 https://dx.doi.org/10.1109/spmb50085.2020.9353644
KU School of Medicine

University of Kansas Medical Center
Cardiovascular Medicine
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Kansas City, KS 66160