David McManus to Ventricular Premature Complexes
This is a "connection" page, showing publications David McManus has written about Ventricular Premature Complexes.
Connection Strength
1.504
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McMANUS DD, Chong JW, Soni A, Saczynski JS, Esa N, Napolitano C, Darling CE, Boyer E, Rosen RK, Floyd KC, Chon KH. PULSE-SMART: Pulse-Based Arrhythmia Discrimination Using a Novel Smartphone Application. J Cardiovasc Electrophysiol. 2016 Jan; 27(1):51-7.
Score: 0.484
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Han D, Bashar SK, L?zaro J, Mohagheghian F, Peitzsch A, Nishita N, Ding E, Dickson EL, DiMezza D, Scott J, Whitcomb C, Fitzgibbons TP, McManus DD, Chon KH. A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac Arrhythmia. Biosensors (Basel). 2022 Jan 29; 12(2).
Score: 0.186
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Bashar SK, Han D, Zieneddin F, Ding E, Fitzgibbons TP, Walkey AJ, McManus DD, Javidi B, Chon KH. Novel Density Poincar? Plot Based Machine Learning Method to Detect Atrial Fibrillation From Premature Atrial/Ventricular Contractions. IEEE Trans Biomed Eng. 2021 02; 68(2):448-460.
Score: 0.174
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Han D, Bashar SK, Mohagheghian F, Ding E, Whitcomb C, McManus DD, Chon KH. Premature Atrial and Ventricular Contraction Detection using Photoplethysmographic Data from a Smartwatch. Sensors (Basel). 2020 Oct 05; 20(19).
Score: 0.170
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Bashar SK, Han D, Zieneddin F, Ding E, Walkey AJ, McManus DD, Chon KH. Preliminary Results on Density Poincare Plot Based Atrial Fibrillation Detection from Premature Atrial/Ventricular Contractions. Annu Int Conf IEEE Eng Med Biol Soc. 2020 07; 2020:2594-2597.
Score: 0.167
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Han D, Bashar SK, Zieneddin F, Ding E, Whitcomb C, McManus DD, Chon KH. Digital Image Processing Features of Smartwatch Photoplethysmography for Cardiac Arrhythmia Detection. Annu Int Conf IEEE Eng Med Biol Soc. 2020 07; 2020:4071-4074.
Score: 0.167
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Han D, Bashar SK, Lazaro J, Ding E, Whitcomb C, McManus DD, Chon KH. Smartwatch PPG Peak Detection Method for Sinus Rhythm and Cardiac Arrhythmia. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul; 2019:4310-4313.
Score: 0.156