Physician Preferences in Using Novel Digital Devices for the Management of Atrial Fibrillation-A DAS-CAM III Survey.

Autor: Manninger M; Department of Internal Medicine, Division of Cardiology, Medical University of Graz, Graz, Austria.; Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands., Zweiker D; Department of Internal Medicine, Division of Cardiology, Medical University of Graz, Graz, Austria.; Department of Cardiology and Intensive Care, Clinic Ottakring, Vienna, Austria., Hovakimyan T; Department of Cardiac Arrhythmology, Nork-Marash Medical Center, Yerevan, Armenia., Matusik PT; Department of Electrocardiology, Institute of Cardiology, Jagiellonian University Medical College, Faculty of Medicine, Kraków, Poland.; Department of Electrocardiology, The John Paul II Hospital, Kraków, Poland., Conti S; Department of Cardiac Electrophysiology, ARNAS Civico Hospital, Palermo, Italy., Ollitrault P; Electrophysiology Unit, Department of Cardiology, Caen University Hospital, Caen, France., Aro A; Division of Cardiology, Heart and Lung Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland., Mulder BA; Department of Cardiology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands., Dichtl W; Department of Internal Medicine III, Medical University of Innsbruck, Innsbruck, Austria., Heeger CH; Department of Rhythmology, University Heart Center Lübeck, University Hospital Schleswig-Holstein, Lübeck, Germany.; German Center for Cardiovascular Research (DZHK), Partner Site, Lübeck, Germany., Ter Bekke R; Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands., Gul EE; Division of Cardiac Electrophysiology, Madinah Cardiac Center, Madinah, Saudi Arabia.; Medicine Hospital, Istanbul Atlas University, Istanbul, Turkey., Weijs B; Clinic for Internal Medicine, Cardiology and Electrophysiology, Katholische Stiftung Marienhospital, Aachen, Germany., Rahm AK; Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany.; Heidelberg Center for Heart Rhythm Disorders (HCR), Heidelberg University Hospital, Heidelberg, Germany.; German Center for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, Germany., Darma A; Department of Electrophysiology, Heart Centre Leipzig, Leipzig, Germany., Evranos B; Department of Cardiology Faculty of Medicine, Hacettepe University, Ankara, Turkey., Sabbag A; Leviev Heart Center, Sheba Medical Center, Affiliated With Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel., Moroka K; Department of Cardiology, Universitas Academic Hospital, University of the Free State, Bloemfontein, South Africa., Traykov V; Department of Invasive Electrophysiology and Cardiac Pacing, Acibadem City Clinic Tokuda Hospital, Sofia, Bulgaria., Larsen JM; Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark.; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark., Amoroso GR; Dipartimento Medico Specialistico, Divisione di Cardiologia, Ospedale 'SS Annunziata', Savigliano, Italy., Evens S; Qompium, Hasselt, Belgium., McIntyre WF; Population Health Research Institute, Hamilton, Canada.; Department of Medicine, McMaster University, Hamilton, Canada., Linz D; Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands.; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Publikováno v: Clinical cardiology [Clin Cardiol] 2024 Dec; Vol. 47 (12), pp. e24331.

DNN-BP: a novel framework for cuffless blood pressure measurement from optimal PPG features using deep learning model.

Autor: Raju SMTU; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh. taslimuddinraju7864@gmail.com., Dipto SA; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Hossain MI; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Chowdhury MAS; Department of Biomedical Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Haque F; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Nashrah AT; Department of Biomedical Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Nishan A; Department of Business Administration, International American University, Los Angeles, CA, 90010, USA., Khan MMH; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh., Hashem MMA; Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh.

Publikováno v: Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Dec; Vol. 62 (12), pp. 3687-3708. Date of Electronic Publication: 2024 Jul 04.

Highly Sensitive Perovskite Photoplethysmography Sensor for Blood Glucose Sensing Using Machine Learning Techniques.

Autor: Zheng Y; Siyuan Laboratory, Guangdong Provincial Engineering Technology Research Center of Vacuum Coating Technologies and New Energy Materials, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, Guangdong, 510632, China., Zhan Z; Siyuan Laboratory, Guangdong Provincial Engineering Technology Research Center of Vacuum Coating Technologies and New Energy Materials, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, Guangdong, 510632, China., Chen Q; Department of Medical Devices, Guangdong Food and Drug Vocational College, Guangzhou, 510520, China., Chen J; Department of Cardiovascular Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, 510630, China., Luo J; Siyuan Laboratory, Guangdong Provincial Engineering Technology Research Center of Vacuum Coating Technologies and New Energy Materials, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, Guangdong, 510632, China., Cai J; Guangzhou Research Institute of Optical, Mechanical and Electronical Technologies Co.,Ltd, Guangzhou, Guangdong, 510663, China., Zhou Y; Siyuan Laboratory, Guangdong Provincial Engineering Technology Research Center of Vacuum Coating Technologies and New Energy Materials, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, Guangdong, 510632, China., Chen K; Siyuan Laboratory, Guangdong Provincial Engineering Technology Research Center of Vacuum Coating Technologies and New Energy Materials, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, Guangdong, 510632, China., Xie W; Siyuan Laboratory, Guangdong Provincial Engineering Technology Research Center of Vacuum Coating Technologies and New Energy Materials, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, Guangdong, 510632, China.; Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou, Guangdong, 510632, China.

Publikováno v: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2024 Nov; Vol. 11 (43), pp. e2405681. Date of Electronic Publication: 2024 Sep 20.

Quantitative Evaluation of Microcirculatory Alterations in Patients with COVID-19 and Bacterial Septic Shock through Remote Photoplethysmography and Automated Capillary Refill Time Analysis.

Autor: Klibus M; Department of Clinical Skills and Medical Technology, Rīga Stradiņš University, LV-1007 Riga, Latvia.; Department of Anaesthesiology and Reanimatology, Rīga Stradiņš University, LV-1007 Riga, Latvia.; Department of Anaesthesiology and Reanimatology, Pauls Stradins CUH, LV-1002 Riga, Latvia., Smirnova D; Department of Clinical Skills and Medical Technology, Rīga Stradiņš University, LV-1007 Riga, Latvia.; Department of Anaesthesiology and Reanimatology, Pauls Stradins CUH, LV-1002 Riga, Latvia., Marcinkevics Z; Faculty of Medicine and Life Sciences, University of Latvia, LV-1063 Riga, Latvia., Rubins U; Faculty of Science and Technology, University of Latvia, LV-1063 Riga, Latvia., Grabovskis A; Faculty of Science and Technology, University of Latvia, LV-1063 Riga, Latvia., Vanags I; Department of Anaesthesiology and Reanimatology, Rīga Stradiņš University, LV-1007 Riga, Latvia., Sabelnikovs O; Department of Clinical Skills and Medical Technology, Rīga Stradiņš University, LV-1007 Riga, Latvia.; Department of Anaesthesiology and Reanimatology, Rīga Stradiņš University, LV-1007 Riga, Latvia.; Department of Anaesthesiology and Reanimatology, Pauls Stradins CUH, LV-1002 Riga, Latvia.

Publikováno v: Medicina (Kaunas, Lithuania) [Medicina (Kaunas)] 2024 Oct 14; Vol. 60 (10). Date of Electronic Publication: 2024 Oct 14.

Exploration of the Conditions for Occurrence of Photoplethysmographic Signal Inversion above the Dorsalis Pedis Artery.

Autor: Jerve FW; Department of Electronic Systems, Norwegian University of Science and Technology, 7034 Trondheim, Norway., Hjelme DR; Department of Electronic Systems, Norwegian University of Science and Technology, 7034 Trondheim, Norway., Kalvøy H; Department of Clinical and Biomedical Engineering, Oslo University Hospital, 0372 Oslo, Norway., Allen J; Research Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5RW, UK., Tronstad C; Department of Clinical and Biomedical Engineering, Oslo University Hospital, 0372 Oslo, Norway.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Oct 10; Vol. 24 (20). Date of Electronic Publication: 2024 Oct 10.