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938 results on '"Halperin, Henry"'

3. Virtual Heart Models Help Elucidate the Role of Border Zone in Sustained Monomorphic Ventricular Tachycardia

Author

Castañeda, Eduardo, Suzuki, Masahito, Ashikaga, Hiroshi, Lluch, Èric, Meister, Felix, Mihalef, Viorel, Audigier, Chloé, Maier, Andreas, Halperin, Henry, Passerini, Tiziano, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Greenspan, Hayit, editor, Madabhushi, Anant, editor, Mousavi, Parvin, editor, Salcudean, Septimiu, editor, Duncan, James, editor, Syeda-Mahmood, Tanveer, editor, and Taylor, Russell, editor

Published
2023
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4. Graph convolutional regression of cardiac depolarization from sparse endocardial maps

Author

Meister, Felix, Passerini, Tiziano, Audigier, Chloé, Lluch, Èric, Mihalef, Viorel, Ashikaga, Hiroshi, Maier, Andreas, Halperin, Henry, and Mansi, Tommaso

Subjects
Physics - Medical Physics, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, Quantitative Biology - Quantitative Methods, Quantitative Biology - Tissues and Organs
Abstract

Electroanatomic mapping as routinely acquired in ablation therapy of ventricular tachycardia is the gold standard method to identify the arrhythmogenic substrate. To reduce the acquisition time and still provide maps with high spatial resolution, we propose a novel deep learning method based on graph convolutional neural networks to estimate the depolarization time in the myocardium, given sparse catheter data on the left ventricular endocardium, ECG, and magnetic resonance images. The training set consists of data produced by a computational model of cardiac electrophysiology on a large cohort of synthetically generated geometries of ischemic hearts. The predicted depolarization pattern has good agreement with activation times computed by the cardiac electrophysiology model in a validation set of five swine heart geometries with complex scar and border zone morphologies. The mean absolute error hereby measures 8 ms on the entire myocardium when providing 50\% of the endocardial ground truth in over 500 computed depolarization patterns. Furthermore, when considering a complete animal data set with high density electroanatomic mapping data as reference, the neural network can accurately reproduce the endocardial depolarization pattern, even when a small percentage of measurements are provided as input features (mean absolute error of 7 ms with 50\% of input samples). The results show that the proposed method, trained on synthetically generated data, may generalize to real data., Comment: Accepted at the MICCAI 2020 Workshop Statistical Atlases and Computational Modeling of the Heart (STACOM)

Published
2020

9. Cardiac‐gated spectroscopic photoacoustic imaging for ablation‐induced necrotic lesion visualization.

Author

Gao, Shang, Ashikaga, Hiroshi, Suzuki, Masahito, Mansi, Tommaso, Kim, Young‐Ho, Ghesu, Florin‐Cristian, Kang, Jeeun, Boctor, Emad M., Halperin, Henry R., and Zhang, Haichong K.

Abstract

Radiofrequency (RF) ablation is a minimally invasive therapy for atrial fibrillation. Conventional RF procedures lack intraoperative monitoring of ablation‐induced necrosis, complicating assessment of completeness. While spectroscopic photoacoustic (sPA) imaging shows promise in distinguishing ablated tissue, multi‐spectral imaging is challenging in vivo due to low imaging quality caused by motion. Here, we introduce a cardiac‐gated sPA imaging (CG‐sPA) framework to enhance image quality using a motion‐gated averaging filter, relying on image similarity. Necrotic extent was calculated based on the ratio between spectral unmixed ablated tissue contrast and total tissue contrast, visualizing as a continuous color map to highlight necrotic area. The validation of the concept was conducted in both ex vivo and in vivo swine models. The ablation‐induced necrotic lesion was successfully detected throughout the cardiac cycle through CG‐sPA imaging. The results suggest the CG‐sPA imaging framework has great potential to be incorporated into clinical workflow to guide ablation procedures intraoperatively. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps

Author

Meister, Felix, Passerini, Tiziano, Audigier, Chloé, Lluch, Èric, Mihalef, Viorel, Ashikaga, Hiroshi, Maier, Andreas, Halperin, Henry, Mansi, Tommaso, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Anton, Esther, editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Campello, Victor, editor, Lalande, Alain, editor, Lekadir, Karim, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, and Young, Alistair, editor

Published
2021
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11. Submillimeter diffusion tensor imaging and late gadolinium enhancement cardiovascular magnetic resonance of chronic myocardial infarction

Author

Pashakhanloo, Farhad, Herzka, Daniel A, Mori, Susumu, Zviman, Muz, Halperin, Henry, Gai, Neville, Bluemke, David A, Trayanova, Natalia A, and McVeigh, Elliot R

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Biomedical Imaging, Cardiovascular, Heart Disease, Heart Disease - Coronary Heart Disease, Bioengineering, Aged, 80 and over, Animals, Anisotropy, Chronic Disease, Contrast Media, Diffusion Tensor Imaging, Disease Models, Animal, Female, Fibrosis, Gadolinium DTPA, Humans, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Myocardial Infarction, Myocardium, Predictive Value of Tests, Sus scrofa, Ventricular Remodeling, Myocardial infarction, Fiber structure, Microstructural remodeling, Diffusion tensor imaging, Late gadolinium enhancement, Cardiorespiratory Medicine and Haematology, Nuclear Medicine & Medical Imaging, Cardiovascular medicine and haematology
Abstract

BackgroundKnowledge of the three-dimensional (3D) infarct structure and fiber orientation remodeling is essential for complete understanding of infarct pathophysiology and post-infarction electromechanical functioning of the heart. Accurate imaging of infarct microstructure necessitates imaging techniques that produce high image spatial resolution and high signal-to-noise ratio (SNR). The aim of this study is to provide detailed reconstruction of 3D chronic infarcts in order to characterize the infarct microstructural remodeling in porcine and human hearts.MethodsWe employed a customized diffusion tensor imaging (DTI) technique in conjunction with late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) on a 3T clinical scanner to image, at submillimeter resolution, myofiber orientation and scar structure in eight chronically infarcted porcine hearts ex vivo. Systematic quantification of local microstructure was performed and the chronic infarct remodeling was characterized at different levels of wall thickness and scar transmurality. Further, a human heart with myocardial infarction was imaged using the same DTI sequence.ResultsThe SNR of non-diffusion-weighted images was >100 in the infarcted and control hearts. Mean diffusivity and fractional anisotropy (FA) demonstrated a 43% increase, and a 35% decrease respectively, inside the scar tissue. Despite this, the majority of the scar showed anisotropic structure with FA higher than an isotropic liquid. The analysis revealed that the primary eigenvector orientation at the infarcted wall on average followed the pattern of original fiber orientation (imbrication angle mean: 1.96 ± 11.03° vs. 0.84 ± 1.47°, p = 0.61, and inclination angle range: 111.0 ± 10.7° vs. 112.5 ± 6.8°, p = 0.61, infarcted/control wall), but at a higher transmural gradient of inclination angle that increased with scar transmurality (r = 0.36) and the inverse of wall thickness (r = 0.59). Further, the infarcted wall exhibited a significant increase in both the proportion of left-handed epicardial eigenvectors, and in the angle incoherency. The infarcted human heart demonstrated preservation of primary eigenvector orientation at the thinned region of infarct, consistent with the findings in the porcine hearts.ConclusionsThe application of high-resolution DTI and LGE-CMR revealed the detailed organization of anisotropic infarct structure at a chronic state. This information enhances our understanding of chronic post-infarction remodeling in large animal and human hearts.

Published
2017

12. A cell-penetrating PHLPP peptide improves cardiac arrest survival in murine and swine models

Author

Li, Jing, Zhu, Xiangdong, Oberdier, Matt T., Lee, Chunpei, Lin, Shaoxia, Fink, Sarah J., Justice, Cody N., Qin, Kevin, Begeman, Andrew W., Damen, Frederick C., Kim, Hajwa, Chen, Jiwang, Cai, Kejia, Halperin, Henry R., and Hoek, Terry L. Vanden

Subjects
Prognosis -- Genetic aspects, Cellular control mechanisms -- Genetic aspects -- Health aspects, Cardiac arrest -- Genetic aspects -- Care and treatment, Peptides -- Health aspects, Health care industry
Abstract

Out-of-hospital cardiac arrest is a leading cause of death in the US, with a mortality rate over 90%. Preclinical studies demonstrate that cooling during cardiopulmonary resuscitation (CPR) is highly beneficial, but can be challenging to implement clinically. No medications exist for improving long-term cardiac arrest survival. We have developed a 20- amino acid peptide, TAT-PHLPP9c, that mimics cooling protection by enhancing AKT activation via PH domain leucine-rich repeat phosphatase 1 (PHLPP1) inhibition. Complementary studies were conducted in mouse and swine. C57BL/6 mice were randomized into blinded saline control and peptide-treatment groups. Following a 12-minute asystolic arrest, TAT- PHLPP9c was administered intravenously during CPR and significantly improved the return of spontaneous circulation, mean arterial blood pressure and cerebral blood flow, cardiac and neurological function, and survival (4 hour and 5 day). It inhibited PHLPP-NHERF1 binding, enhanced AKT but not PKC phosphorylation, decreased pyruvate dehydrogenase phosphorylation and sorbitol production, and increased ATP generation in heart and brain. TAT-PHLPP9c treatment also reduced plasma taurine and glutamate concentrations after resuscitation. The protective benefit of TAT-PHLPP9c was validated in a swine cardiac arrest model of ventricular fibrillation. In conclusion, TAT-PHLPP9c may improve neurologically intact cardiac arrest survival without the need for physical cooling., Introduction Out-of-hospital cardiac arrest (CA) affects 350,000 people annually, with an overall survival rate of less than 10% (1). Cardiopulmonary resuscitation (CPR), defibrillation, and targeted temperature management (TTM) using active [...]

Published
2023
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24. Accuracy of prediction of infarct-related arrhythmic circuits from image-based models reconstructed from low and high resolution MRI

Author

Deng, Dongdong, Arevalo, Hermenegild, Pashakhanloo, Farhad, Prakosa, Adityo, Ashikaga, Hiroshi, McVeigh, Elliot, Halperin, Henry, and Trayanova, Natalia

Subjects
Biochemistry and Cell Biology, Medical Physiology, Biomedical and Clinical Sciences, Biological Sciences, Biomedical Imaging, Heart Disease, Cardiovascular, Bioengineering, MRI reconstruction, arrhythmia, computational modeling, myocardial infarction, reentry, Physiology, Psychology, Biochemistry and cell biology, Medical physiology
Abstract

Identification of optimal ablation sites in hearts with infarct-related ventricular tachycardia (VT) remains difficult to achieve with the current catheter-based mapping techniques. Limitations arise from the ambiguities in determining the reentrant pathways location(s). The goal of this study was to develop experimentally validated, individualized computer models of infarcted swine hearts, reconstructed from high-resolution ex-vivo MRI and to examine the accuracy of the reentrant circuit location prediction when models of the same hearts are instead reconstructed from low clinical-resolution MRI scans. To achieve this goal, we utilized retrospective data obtained from four pigs ~10 weeks post infarction that underwent VT induction via programmed stimulation and epicardial activation mapping via a multielectrode epicardial sock. After the experiment, high-resolution ex-vivo MRI with late gadolinium enhancement was acquired. The Hi-res images were downsampled into two lower resolutions (Med-res and Low-res) in order to replicate image quality obtainable in the clinic. The images were segmented and models were reconstructed from the three image stacks for each pig heart. VT induction similar to what was performed in the experiment was simulated. Results of the reconstructions showed that the geometry of the ventricles including the infarct could be accurately obtained from Med-res and Low-res images. Simulation results demonstrated that induced VTs in the Med-res and Low-res models were located close to those in Hi-res models. Importantly, all models, regardless of image resolution, accurately predicted the VT morphology and circuit location induced in the experiment. These results demonstrate that MRI-based computer models of hearts with ischemic cardiomyopathy could provide a unique opportunity to predict and analyze VT resulting for from specific infarct architecture, and thus may assist in clinical decisions to identify and ablate the reentrant circuit(s).

Published
2015

33. Personalized virtual-heart technology for guiding the ablation of infarct-related ventricular tachycardia

Author

Prakosa, Adityo, Arevalo, Hermenegild J., Deng, Dongdong, Boyle, Patrick M., Nikolov, Plamen P., Ashikaga, Hiroshi, Blauer, Joshua J. E., Ghafoori, Elyar, Park, Carolyn J., Blake, III, Robert C., Han, Frederick T., MacLeod, Rob S., Halperin, Henry R., Callans, David J., Ranjan, Ravi, Chrispin, Jonathan, Nazarian, Saman, and Trayanova, Natalia A.

Published
2018
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34. Out-of-hospital cardiac arrest with onset witnessed by emergency medical services: Implications for improvement in overall survival

Author

Holmström, Lauri, Reinier, Kyndaron, Toft, Lorrel, Halperin, Henry, Salvucci, Angelo, Jui, Jonathan, and Chugh, Sumeet S.

Subjects
Survival Rate, Emergency Medical Services, Emergency Medicine, Humans, Registries, Emergency Nursing, Cardiology and Cardiovascular Medicine, Article, Cardiopulmonary Resuscitation, Out-of-Hospital Cardiac Arrest
Abstract

Out-of-hospital cardiac arrest (OHCA) remains a major public health problem. Even in high-income countries, survival rates have plateaued in the range of ten percent, stimulating an ongoing interest in developing novel approaches to resuscitation. Emergency Medical Services (EMS)-witnessed OHCAs constitute a subgroup of overall OHCA that occur after the arrival of EMS, leading to rapid initiation of resuscitation and significantly improved survival. In this narrative review we summarize and interpret recent developments in knowledge of EMS-witnessed OHCA regarding prevalence, demographics, location, circumstances, survival outcomes and clinical profile. We examine the possibility of informing novel resuscitation approaches and enhancing mechanistic knowledge by studying EMS-witnessed OHCA, with the goal of improving overall survival from OHCA.

Published
2022

35. Electrocardiogram Monitoring Wearable Devices and Artificial-Intelligence-Enabled Diagnostic Capabilities: A Review

Author

Neri, Luca, primary, Oberdier, Matt T., additional, van Abeelen, Kirsten C. J., additional, Menghini, Luca, additional, Tumarkin, Ethan, additional, Tripathi, Hemantkumar, additional, Jaipalli, Sujai, additional, Orro, Alessandro, additional, Paolocci, Nazareno, additional, Gallelli, Ilaria, additional, Dall’Olio, Massimo, additional, Beker, Amir, additional, Carrick, Richard T., additional, Borghi, Claudio, additional, and Halperin, Henry R., additional

Published
2023
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36. A Framework for the Pre-clinical Validation of LBM-EP for the Planning and Guidance of Ventricular Tachycardia Ablation

Author

Mansi, Tommaso, Beinart, Roy, Zettinig, Oliver, Rapaka, Saikiran, Georgescu, Bogdan, Kamen, Ali, Dori, Yoav, Zviman, M. Muz, Herzka, Daniel A., Halperin, Henry R., Comaniciu, Dorin, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Camara, Oscar, editor, Mansi, Tommaso, editor, Pop, Mihaela, editor, Rhode, Kawal, editor, Sermesant, Maxime, editor, and Young, Alistair, editor

Published
2014
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38. Contributors

Author

Aagaard, Philip, primary, Abrams, Dominic James, additional, Abriel, Hugues, additional, Adkisson, Wayne O., additional, Agullo-Pascual, Esperanza, additional, Alvarado, Francisco J., additional, Amin, Ahmad S., additional, Antzelevitch, Charles, additional, Anumonwo, Justus M.B., additional, Armaganijan, Luciana, additional, Arya, Arash, additional, Asirvatham, Samuel, additional, Atienza, Felipe, additional, Backx, Peter H., additional, Ballou, Lisa M., additional, Balse, Elise, additional, Balulad, Sujata, additional, Barbuti, Andrea, additional, Bardy, Gust H., additional, Bassil, Guillaume, additional, Benditt, David G., additional, Berenfeld, Omer, additional, Bers, Donald M., additional, Binah, Ofer, additional, Bogun, Frank, additional, Bongianino, Rossana, additional, Boyle, Noel G., additional, Boyle, Patrick M., additional, Breithardt, Günter, additional, Brini, Marisa, additional, Brink, Peter R., additional, Brugada, Pedro, additional, Buch, Eric, additional, Bukauskas, Feliksas F., additional, Calkins, Hugh, additional, Callans, David J., additional, Caples, Sean M., additional, Carafoli, Ernesto, additional, Catterall, William A., additional, Cerrone, Marina, additional, Chaumeil, Arnaud, additional, Chen, Caressa, additional, Chen, Lan S., additional, Chen, Peng-Sheng, additional, Cheng, Jianding, additional, Chiamvimonvat, Nipavan, additional, Christini, David J., additional, Chugh, Aman, additional, Climent, Andreu M., additional, Cohen, Ira S., additional, Connolly, Stuart J., additional, Cooper, Lebron, additional, Crespo, Eric M., additional, Crotti, Lia, additional, Csepe, Thomas A., additional, Cuoco, Frank, additional, Curtis, Anne B., additional, Damiano, Ralph J., additional, Darbar, Dawood, additional, Das, Mithilesh K., additional, d’Avila, Andre, additional, Delmar, Mario, additional, Delpón, Eva, additional, Denegri, Marco, additional, Denis, Arnaud, additional, Derval, Nicolas, additional, Deschênes, Isabelle, additional, Deshmukh, Abhishek, additional, Di Biase, Luigi, additional, Dickfeld, Timm M., additional, Dierckx, Hans, additional, Dinov, Borislav, additional, Dixit, Sanjay, additional, Dobrev, Dobromir, additional, Dubois, Remi, additional, Eckardt, Lars, additional, Edwards, Andrew G., additional, Ellenbogen, Kenneth A., additional, Ellinor, Patrick T., additional, Estes, N.A. Mark, additional, Fabritz, Larissa, additional, Fedorov, Vadim V., additional, Fernandez, Antonio B., additional, Teijeira Fernández, Elvis, additional, Filgueiras-Rama, David, additional, Fishbein, Michael C., additional, Fishman, Glenn I., additional, Frankel, David S., additional, Friedman, Paul, additional, Frontera, Antonio, additional, Gami, Apoor S., additional, Garabelli, Paul, additional, George, Alfred L., additional, Gerstenfeld, Edward P., additional, Gizurarson, Sigfus, additional, Gold, Michael R., additional, Goldberger, Jeffrey J., additional, Grace, Andrew, additional, Grassi, Guido, additional, Greenfield, Ruth Ann, additional, Gross, Wendy L., additional, Grubb, Blair P., additional, Guillem, María S., additional, Györke, Sándor, additional, Haïssaguerre, Michel, additional, Hake, Johan, additional, Halperin, Henry R., additional, Hansen, Brian J., additional, Hatem, Stéphane, additional, Hayes, David L., additional, Heijman, Jordi, additional, Herron, Todd J., additional, Hindricks, Gerhard, additional, Hocini, Mélèze, additional, Hohnloser, Stefan H., additional, Holmes, David R., additional, Hoshijima, Masahiko, additional, Hund, Thomas J., additional, Hutchinson, Mathew D., additional, Ilkhanoff, Leonard, additional, Ingles, Jodie, additional, Ip, James E., additional, Jackman, Warren M., additional, Jackson, Nicholas, additional, Jaïs, Pierre, additional, Jalife, José, additional, Jhun, Bong Sook, additional, John, Roy M., additional, Jongbloed, Monique, additional, Jordaens, Luc, additional, Kalman, Jonathan M., additional, Kamp, Timothy J., additional, Kanj, Mohamed H., additional, Kapa, Suraj, additional, Karabin, Beverly, additional, Karakikes, Ioannis, additional, Katritsis, Demosthenes G., additional, Kaur, Kuljeet, additional, Kirchhof, Paulus, additional, Kléber, André G., additional, Klein, George J., additional, Kohl, Peter, additional, Koneru, Jayanthi N., additional, Koruth, Jacob S., additional, Krahn, Andrew D., additional, Krogh-Madsen, Trine, additional, Kuck, Karl Heinz, additional, Kumar, Saurabh, additional, Kushnir, Alexander, additional, Lakdawala, Neal K., additional, Laksman, Zachary W.M., additional, Latchamsetty, Rakesh, additional, Lau, Dennis H., additional, Lerman, Bruce B., additional, Lin, Richard Z., additional, Lin, Shien-Fong, additional, Link, Mark S., additional, Liu, Bin, additional, Liu, Christopher F., additional, Lockwood, Deborah J., additional, Lopatin, Anatoli N., additional, Lubitz, Steven A., additional, Mahajan, Rajiv, additional, Makielski, Jonathan C., additional, Malik, Marek, additional, Marchlinski, Francis E., additional, Markowitz, Steven M., additional, Maron, Barry J., additional, Maron, Martin S., additional, Marx, Steven O., additional, Massé, Stéphane, additional, McCulloch, Andrew D., additional, McKelvie-Sebileau, Pippa, additional, Melby, Spencer J., additional, Metzner, Andreas, additional, Michailova, Anushka P., additional, Michaud, Gregory F., additional, Miller, John M., additional, Mishra, Jyotsna, additional, Mitrani, Raul D., additional, Mohler, Peter J., additional, Morady, Fred, additional, Myerburg, Robert J., additional, Nakagawa, Hiroshi, additional, Nalliah, Chrishan Joseph, additional, Nanthakumar, Kumaraswamy, additional, Napolitano, Carlo, additional, Narayan, Sanjiv M., additional, Natale, Andrea, additional, Nattel, Stanley, additional, Nazarian, Saman, additional, Nguyen, Thao P., additional, Nogami, Akihiko, additional, Noujaim, Sami F., additional, Nubret Le Coniat, Karine, additional, Olshansky, Brian, additional, O-Uchi, Jin, additional, Oudit, Gavin Y., additional, Ouyang, Feifan, additional, Ozcan, Cevher, additional, Packer, Douglas L., additional, Pandit, Sandeep V., additional, Panfilov, Alexander V., additional, Park, David S., additional, Patocskai, Bence, additional, Pauza, Dainius H., additional, Pauziene, Neringa, additional, Piccini, Jonathan P., additional, Pitt, Geoffrey S., additional, Po, Sunny S., additional, Prasad, Abhiram, additional, Priori, Silvia G., additional, Radwański, Przemysław B., additional, Rappel, Wouter-Jan, additional, Reiser, Michelle, additional, Restrepo, Alejandro Jimenez, additional, Robinson, Richard B., additional, Roden, Dan M., additional, Rosen, Michael R., additional, Rosso, Raphael, additional, Rudy, Yoram, additional, Rysevaite-Kyguoliene, Kristina, additional, Sabbah, Hani N., additional, Sacher, Frederic, additional, Sachse, Frank B., additional, Saguner, Ardan M., additional, Sanders, Prashanthan, additional, Sanguinetti, Michael C., additional, Santangeli, Pasquale, additional, Sarraf, Mohammad, additional, Satin, Jonathan, additional, Schalij, Martin Jan, additional, Scherlag, Benjamin J., additional, Schill, Matthew R., additional, Schleifer, J. William, additional, Schuessler, Richard B., additional, Schwartz, Peter J., additional, Seeger, Timon, additional, Semsarian, Christopher, additional, Seravalle, Gino, additional, Shah, Ashok J., additional, Shaw, Robin M., additional, Shen, Mark J., additional, Shen, Win–Kuang, additional, Sheu, Shey-Shing, additional, Shivkumar, Kalyanam, additional, Silva, Jennifer N.A., additional, Skanes, Allan C., additional, Soejima, Kyoko, additional, Somers, Virend K., additional, Sorajja, Dan, additional, Stavrakis, Stavros, additional, Steinberg, Christian, additional, Stevenson, Lynne Warner, additional, Stevenson, William G., additional, Sweeney, Michael O., additional, Swerdlow, Charles, additional, Takigawa, Masateru, additional, Tamargo, Juan, additional, Tandri, Harikrishna, additional, Tedrow, Usha B., additional, Thompson, Nathaniel, additional, Thompson, Paul D., additional, Tomaselli, Gordon F., additional, Towbin, Jeffrey A., additional, Trayanova, Natalia A., additional, Tristani-Firouzi, Martin, additional, Tseng, Zian H., additional, Ueda, Akiko, additional, Valdivia, Héctor H., additional, Valiunas, Virginijus, additional, van der Werf, Christian, additional, Van Hare, George F., additional, Vidmar, David, additional, Viskin, Sami, additional, Voigt, Niels, additional, Walsh, Edward P., additional, Wang, Paul J., additional, Wehrens, Xander H.T., additional, Weiss, Mark S., additional, Wilde, Arthur A.M., additional, Wilkoff, Bruce L., additional, Woo, Y. Joseph, additional, Wu, Joseph C., additional, Yee, Raymond, additional, Zaman, Junaid A.B., additional, Zarzoso, Manuel, additional, Zeitler, Emily P., additional, Zeppenfeld, Katja, additional, Zghaib, Tarek, additional, Zhang, Xiao-Dong, additional, and Zipes, Douglas P., additional

Published
2018
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39. Algorithm for Mobile Platform-Based Real-Time QRS Detection

Author

Neri, Luca, primary, Oberdier, Matt T., additional, Augello, Antonio, additional, Suzuki, Masahito, additional, Tumarkin, Ethan, additional, Jaipalli, Sujai, additional, Geminiani, Gian Angelo, additional, Halperin, Henry R., additional, and Borghi, Claudio, additional

Published
2023
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40. Implantable Defibrillator System Shock Function, Mortality, and Cause of Death After Magnetic Resonance Imaging

Author

Ra, Joshua, primary, Oberdier, Matt T., additional, Suzuki, Masahito, additional, Vaidya, Dhananjay, additional, Liu, Yisi, additional, Hansford, Rozann, additional, McVeigh, Diana, additional, Weltin, Valeria, additional, Tao, Susumu, additional, Thiemann, David R., additional, Nazarian, Saman, additional, and Halperin, Henry R., additional

Published
2023
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44. A New Era of Lay Rescuer CPR Training

Author

Toft, Lorrel E.B., primary, Richie, Jamaal, additional, Wright, John M., additional, Amraotkar, Alok, additional, Katrapati, Praneeth, additional, Fulmer, Sara, additional, Dainty, Katie N., additional, Chugh, Sumeet S., additional, and Halperin, Henry, additional

Published
2022
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46. Quality assessment of cardiac magnetic resonance myocardial scar imaging prior to ventricular arrhythmia ablation

Author

Shah, Rushil, primary, Sharma, Apurva, additional, Assis, Fabrizio, additional, De Vasconcellos, Henrique Doria, additional, Alugubelli, Navya, additional, Pandey, Pallavi, additional, Akhtar, Tauseef, additional, Gasperetti, Alessio, additional, Zhou, Shijie, additional, Halperin, Henry, additional, Zimmerman, Stefan L., additional, Tandri, Harikrishna, additional, and Kolandaivelu, Aravindan, additional

Published
2022
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