Tina Baykaner

Stanford University Academic Setting

Author of 6 ePosters

 eCatalog Module
Clinical Electrophysiology -> SCA Risk Assessment: -> Signal Processing Techniques (SAECG/TWA, HRV, QT interval) D-AB11 - Emerging Innovations to Predict Sudden Death (ID 18) Abstract Plus

D-AB11-03 - Machine Learning Of The ECG To Detect Clinical Phenotypes With Cardiac Implications (ID 741)

Authors
Disclosure
 A. Selvalingam: Nothing relevant to disclose.
Basic/Translational Science -> Intact Heart Electrophysiology (includes Pharmacology and Optical Mapping) D-PO01 - Featured Poster Session (ID 11) Poster
No eCatalog Preview Available

D-PO01-203 - Improving Atrial Fibrillation Ablation By Combining Epicardial ECGI Mapping And Endocardial Mapping Of Critical Regions (ID 142)

Authors
Disclosure

  M. Rodrigo: Stock or Stock Options - Non-Public (Including Start-up) - Corify Health Care S.L..

Video File Upload
Provocative Cases -> Teaching Case Reports D-PO02 - Poster Session II (ID 47) Poster

D-PO02-049 - Case Series Using Artificial Intelligence Of Cardiac Computed Tomography To Predict Success Of Atrial Fibrillation Ablation (ID 178)

Authors
Disclosure
 D. Galkina: Nothing relevant to disclose.
Catheter Ablation -> Atrial Fibrillation & Atrial Flutter: -> Ablation Techniques D-PO02 - Poster Session II (ID 47) Poster

D-PO02-132 - Safety And Efficacy Of Minimal Vs. Zero Fluoroscopy Radiofrequency Catheter Ablation For Atrial Fibrillation: A Multicenter Prospective Study (ID 1023)

Authors
Disclosure
 K.Q. Quadros: Nothing relevant to disclose.
Provocative Cases -> Teaching Case Reports D-PO04 - Poster Session IV (ID 15) Poster

D-PO04-022 - Body Surface Mapping Identifies Sites Where Ablation Terminates Post-Maze Atrial Fibrillation (ID 406)

Authors
Disclosure
 S.K. Purewal: Nothing relevant to disclose.
Basic/Translational Science -> Intact Heart Electrophysiology (includes Pharmacology and Optical Mapping) D-SP05 - Young Investigator Awards Competition (ID 34) Special Session
No eCatalog Preview Available

D-SP05-01 - Machine Learning Of Ventricular Monophasic Action Potentials Predicts 3 Year Arrhythmic And All-cause Mortality In Heart Failure (ID 719)

Authors
Disclosure
 A.J. Rogers: Nothing relevant to disclose.