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Tytuł:
Ultra-high-frequency ECG volumetric and negative derivative epicardial ventricular electrical activation pattern.
Autorzy:
Leinveber P; International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic. .
Halamek J; Institute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic.
Curila K; Cardiocenter, Third Faculty of Medicine, Charles University and University Hospital Kralovske Vinohrady, Prague, Czech Republic.
Prinzen F; Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands.
Lipoldova J; International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic.; First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital Brno, Brno, Czech Republic.; Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Matejkova M; International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic.
Smisek R; Institute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic.; Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic.
Plesinger F; Institute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic.
Nagy A; International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic.; First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital Brno, Brno, Czech Republic.; Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Novak M; International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic.; First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital Brno, Brno, Czech Republic.; Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Viscor I; Institute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic.
Vondra V; Institute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic.
Jurak P; Institute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic.
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Źródło:
Scientific reports [Sci Rep] 2024 Mar 07; Vol. 14 (1), pp. 5681. Date of Electronic Publication: 2024 Mar 07.
Typ publikacji:
Journal Article
MeSH Terms:
Electrocardiography*/methods
Heart Ventricles*/diagnostic imaging
Humans ; Retrospective Studies ; Bundle-Branch Block/diagnosis ; Arrhythmias, Cardiac
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Person identification with arrhythmic ECG signals using deep convolution neural network.
Autorzy:
Al-Jibreen A; Computer Science Department, College of Computer and Information Sciences, King Saud University, 11543, Riyadh, Saudi Arabia. .
Al-Ahmadi S; Computer Science Department, College of Computer and Information Sciences, King Saud University, 11543, Riyadh, Saudi Arabia.
Islam S; Department of Computer Engineering, Faculty of Engineering, TED University, 06420, Ankara, Türkiye.
Artoli AM; Computer Science Department, College of Computer and Information Sciences, King Saud University, 11543, Riyadh, Saudi Arabia.
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Źródło:
Scientific reports [Sci Rep] 2024 Feb 23; Vol. 14 (1), pp. 4431. Date of Electronic Publication: 2024 Feb 23.
Typ publikacji:
Journal Article
MeSH Terms:
Electrocardiography*
Neural Networks, Computer*
Humans ; Arrhythmias, Cardiac/diagnosis ; Biometry ; Heart Rate ; Algorithms ; Signal Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Towards Flexible and Low-Power Wireless Smart Sensors: Reconfigurable Analog-to-Feature Conversion for Healthcare Applications.
Autorzy:
Manokhin M; C2S Team, ComElec Department, Laboratoire de Traitement et Communication de l'Information (LTCI), Télécom Paris, Institut Polytechnique de Paris, 19 Place Marguerite Perey, 91120 Palaiseau, France.
Chollet P; C2S Team, ComElec Department, Laboratoire de Traitement et Communication de l'Information (LTCI), Télécom Paris, Institut Polytechnique de Paris, 19 Place Marguerite Perey, 91120 Palaiseau, France.
Desgreys P; C2S Team, ComElec Department, Laboratoire de Traitement et Communication de l'Information (LTCI), Télécom Paris, Institut Polytechnique de Paris, 19 Place Marguerite Perey, 91120 Palaiseau, France.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Feb 03; Vol. 24 (3). Date of Electronic Publication: 2024 Feb 03.
Typ publikacji:
Journal Article
MeSH Terms:
Electrocardiography*/methods
Neural Networks, Computer*
Humans ; Arrhythmias, Cardiac
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Hybrid Deep Learning and Discrete Wavelet Transform-Based ECG Biometric Recognition for Arrhythmic Patients and Healthy Controls.
Autorzy:
Asif MS; Department of Computer Science, COMSATS University Islamabad, Attock City 43600, Pakistan.
Faisal MS; Department of Computer Science, COMSATS University Islamabad, Attock City 43600, Pakistan.
Dar MN; Department of Electrical and Computer Engineering, Air University, Islamabad 44000, Pakistan.
Hamdi M; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Elmannai H; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Rizwan A; Department of Computer Engineering, Jeju National University, Jejusi 63243, Republic of Korea.
Abbas M; Department of Computer and Software Engineering, National University of Sciences and Technology, Islamabad 44000, Pakistan.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 May 10; Vol. 23 (10). Date of Electronic Publication: 2023 May 10.
Typ publikacji:
Journal Article
MeSH Terms:
Electrocardiography*
Arrhythmias, Cardiac*/diagnosis
Humans ; Biometry ; Deep Learning ; Wavelet Analysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Precordial double transition pattern with inferior lead discordance in the accessory pathway and ventricular arrhythmias: Do all roads lead to Rome?
Autorzy:
Ozcan Cetin EH; Department of Cardiology, Ankara City Hospital, University of Health Sciences, Ankara, Turkey.
Kara M; Department of Cardiology, Ankara City Hospital, University of Health Sciences, Ankara, Turkey.
Korkmaz A; Department of Cardiology, Ankara City Hospital, University of Health Sciences, Ankara, Turkey.
Ozeke O; Department of Cardiology, Ankara City Hospital, University of Health Sciences, Ankara, Turkey.
Cay S; Department of Cardiology, Ankara City Hospital, University of Health Sciences, Ankara, Turkey.
Ozcan F; Department of Cardiology, Ankara City Hospital, University of Health Sciences, Ankara, Turkey.
Aras D; Department of Cardiology, İstanbul Medipol University, İstanbul, Turkey.
Topaloglu S; Department of Cardiology, Ankara City Hospital, University of Health Sciences, Ankara, Turkey.
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Źródło:
Journal of cardiovascular electrophysiology [J Cardiovasc Electrophysiol] 2022 Nov; Vol. 33 (11), pp. 2421-2422. Date of Electronic Publication: 2022 Oct 05.
Typ publikacji:
Letter; Comment
MeSH Terms:
Electrocardiography*
Arrhythmias, Cardiac*/diagnosis
Humans ; Rome
Opinia redakcyjna
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Sex-specific repolarization heterogeneity in mouse left ventricle: Optical mapping combined with mathematical modeling predict the contribution of specific ionic currents.
Autorzy:
Moussavi-Torshizi SE; Institute of Neural and Sensory Physiology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany.; Cardiovascular Research Institute Düsseldorf (CARID), Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany.
Amin E; Institute of Neural and Sensory Physiology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany.; Cardiovascular Research Institute Düsseldorf (CARID), Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany.
Klöcker N; Institute of Neural and Sensory Physiology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany.; Cardiovascular Research Institute Düsseldorf (CARID), Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany.
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Źródło:
Physiological reports [Physiol Rep] 2023 Jun; Vol. 11 (11), pp. e15670.
Typ publikacji:
Journal Article
MeSH Terms:
Heart Ventricles*/metabolism
Electrocardiography*
Female ; Male ; Animals ; Mice ; Arrhythmias, Cardiac/metabolism ; Pericardium ; Action Potentials
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Development and Validation of Embedded Device for Electrocardiogram Arrhythmia Empowered with Transfer Learning.
Autorzy:
Asif RN; School of Computer Science, National College of Business Administration and Economics, Lahore 54000, Pakistan.
Abbas S; School of Computer Science, National College of Business Administration and Economics, Lahore 54000, Pakistan.
Khan MA; Department of Software, Gachon University, Seongnam 13120, Republic of Korea.
Atta-Ur-Rahman; Department of Computer Science, College of Computer Science and Information Technology (CCSIT), Imam Abdulrahman Bin Faisal University (IAU), P.O Box 1982, Dammam 31441, Saudi Arabia.
Sultan K; Department of CIT, The Applied College, King Abdulaziz University, Jeddah, Saudi Arabia.
Mahmud M; Department of Management, College of Business Administration, University of Bahrain, Zallaq, Bahrain.
Mosavi A; Slovak University of Technology in Bratislava, Bratislava 81107, Slovakia.; Obuda University, Budapest 1034, Hungary.; TU-Dresden, Dresden 01062, Germany.
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Źródło:
Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Oct 07; Vol. 2022, pp. 5054641. Date of Electronic Publication: 2022 Oct 07 (Print Publication: 2022).
Typ publikacji:
Journal Article
MeSH Terms:
Electrocardiography*/methods
Arrhythmias, Cardiac*/diagnosis
Humans ; Cloud Computing ; Machine Learning ; Software
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
An End-to-End Cardiac Arrhythmia Recognition Method with an Effective DenseNet Model on Imbalanced Datasets Using ECG Signal.
Autorzy:
Ullah H; State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, China.
Bin Heyat MB; IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, Guangdong, China.; Centre for VLSI and Embedded System Technologies, International Institute of Information Technology, Hyderabad 500032, Telangana, India.; Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham 2770, NSW, Australia.
Akhtar F; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, China.
Sumbul; Department of Ilmul Qabalat wa Amraze Niswan (Gynecology and Obstetrics), National Institute of Unani Medicine, Rajiv Gandhi University of Health Sciences, Ministry of Ayush, Bengaluru, Karnataka, India.
Muaad AY; IT Department, Sana'a Community College, Sana'a 5695, Yemen.
Islam MS; College of Computer Science, Data Intelligence and Computing Art Lab, Sichuan University, Chengdu 610065, China.
Abbas Z; Centre for VLSI and Embedded System Technologies, International Institute of Information Technology, Hyderabad 500032, Telangana, India.
Pan T; State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, China.
Gao M; State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, China.
Lin Y; State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, China.; Medico-Engineering Corporation on Applied Medicine Research Center, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, China.
Lai D; Biomedical Imaging and Electrophysiology Laboratory, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, Sichuan, China.
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Źródło:
Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Sep 29; Vol. 2022, pp. 9475162. Date of Electronic Publication: 2022 Sep 29 (Print Publication: 2022).
Typ publikacji:
Journal Article
MeSH Terms:
Arrhythmias, Cardiac*/diagnosis
Electrocardiography*/methods
Algorithms ; Databases, Factual ; Heart Rate ; Humans ; Neural Networks, Computer ; Signal Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Classification of ECG signal using FFT based improved Alexnet classifier.
Autorzy:
Kumar M A; Department of ECE, Karpagam Academy of Higher Education, Coimbatore, India.
Chakrapani A; Department of ECE, Karpagam College of Engineering, Coimbatore, India.
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Źródło:
PloS one [PLoS One] 2022 Sep 27; Vol. 17 (9), pp. e0274225. Date of Electronic Publication: 2022 Sep 27 (Print Publication: 2022).
Typ publikacji:
Journal Article
MeSH Terms:
Arrhythmias, Cardiac*/diagnosis
Electrocardiography*/methods
Algorithms ; Fourier Analysis ; Humans ; Neural Networks, Computer ; Signal Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Arrhythmia Classification Algorithm Based on a Two-Dimensional Image and Modified EfficientNet.
Autorzy:
Zhao CF; College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua 321004, China.
Yao WY; College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua 321004, China.
Yi MJ; College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua 321004, China.
Wan C; College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua 321004, China.
Tian YL; College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua 321004, China.
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Źródło:
Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Aug 27; Vol. 2022, pp. 8683855. Date of Electronic Publication: 2022 Aug 27 (Print Publication: 2022).
Typ publikacji:
Journal Article
MeSH Terms:
Arrhythmias, Cardiac*/diagnosis
Electrocardiography*/methods
Algorithms ; Heart Rate ; Humans ; Neural Networks, Computer
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Detection of Heart Arrhythmia on Electrocardiogram using Artificial Neural Networks.
Autorzy:
Badr M; The University of Mashreq, Research Center, Baghdad, Iraq.; Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad 10021, Iraq.
Al-Otaibi S; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh 11671, Saudi Arabia.
Alturki N; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh 11671, Saudi Arabia.
Abir T; Department of Business Administration, Faculty of Business and Entrepreneurship, Daffodil International University, Dhaka, Bangladesh.
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Źródło:
Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Aug 05; Vol. 2022, pp. 1094830. Date of Electronic Publication: 2022 Aug 05 (Print Publication: 2022).
Typ publikacji:
Journal Article; Retracted Publication
MeSH Terms:
Arrhythmias, Cardiac*
Electrocardiography*
Algorithms ; Humans ; Neural Networks, Computer ; ROC Curve ; Signal Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
The influence of electrocardiogram (ECG) filters on the heights of R and T waves in children.
Autorzy:
Hirokawa J; Department of Anesthesia, Miyazaki Dental Welfare Center, Miyazaki City Dental Association, Miyazaki, Miyazaki, Japan.
Hitosugi T; Section of Dental Anesthesiology, Division of Maxillofacial Diagnostic & Surgical Sciences, Faculty of Dental Science, Kyushu University, Fukuoka, Fukuoka, Japan. .
Miki Y; School of Interdisciplinary Science and Innovation, Faculty of Arts and Science, Kyushu University, Nishi, Fukuoka, Japan.
Tsukamoto M; Department of Dental Anesthesiology, Kyushu University Hospital, Fukuoka, Fukuoka, Japan.
Yamasaki F; Department of Clinical Laboratory, Kochi Medical School, Nankoku, Japan.
Kawakubo Y; Department of Clinical Engineering, School of Medical Sciences, Jikei University of Health Care Sciences, Osaka, Osaka, Japan.
Yokoyama T; Section of Dental Anesthesiology, Division of Maxillofacial Diagnostic & Surgical Sciences, Faculty of Dental Science, Kyushu University, Fukuoka, Fukuoka, Japan.
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Źródło:
Scientific reports [Sci Rep] 2022 Aug 02; Vol. 12 (1), pp. 13279. Date of Electronic Publication: 2022 Aug 02.
Typ publikacji:
Journal Article
MeSH Terms:
Arrhythmias, Cardiac*
Electrocardiography*
Child ; Humans ; Monitoring, Intraoperative ; Noise
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
The relationship between vitamin B12 levels and electrocardiographic ventricular repolarization markers.
Autorzy:
Yılmaz E; Department of Cardiology. Giresun University Medical School.
Kurt D; Department of Cardiology. Giresun University.
Vural A; Department of Cardiology. Giresun University.
Aydın E; Department of Cardiology. Giresun University.
Çamcı S; Department of Cardiology. Giresun University.
Aydın E; Trabzon Kanuni Training and Research Hospital Cardiology Clinic.
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Transliterated Title:
La relación entre los niveles de vitamina B12 y los marcadores electrocardiográficos de repolarización ventricular.
Źródło:
Nutricion hospitalaria [Nutr Hosp] 2022 Jun 24; Vol. 39 (3), pp. 588-593.
Typ publikacji:
Journal Article
MeSH Terms:
Arrhythmias, Cardiac*/etiology
Electrocardiography*
Adult ; Biomarkers ; Echocardiography/adverse effects ; Heart Rate ; Humans ; Vitamin B 12
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Using a Smartwatch to Record Precordial Electrocardiograms: A Validation Study.
Autorzy:
van der Zande J; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, F-33600 Pessac, France.; Cardio-Thoracic Unit, Bordeaux University Hospital (CHU), F-33600 Pessac, France.; Cardiovascular and Respiratory Physiology, TechMed Centre, University of Twente, 7522 NB Enschede, The Netherlands.
Strik M; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, F-33600 Pessac, France.; Cardio-Thoracic Unit, Bordeaux University Hospital (CHU), F-33600 Pessac, France.
Dubois R; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, F-33600 Pessac, France.; Cardio-Thoracic Unit, Bordeaux University Hospital (CHU), F-33600 Pessac, France.
Ploux S; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, F-33600 Pessac, France.; Cardio-Thoracic Unit, Bordeaux University Hospital (CHU), F-33600 Pessac, France.
Alrub SA; Cardio-Thoracic Unit, Bordeaux University Hospital (CHU), F-33600 Pessac, France.; Cardiology Department, Clermont Universite, Université d'Auvergne, Cardio Vascular Interventional Therapy and Imaging (CaVITI), Image Science for Interventional Techniques (ISIT), UMR6284, CHU Clermont-Ferrand, F-63003 Clermont-Ferrand, France.
Caillol T; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, F-33600 Pessac, France.; Cardio-Thoracic Unit, Bordeaux University Hospital (CHU), F-33600 Pessac, France.
Nasarre M; Cardio-Thoracic Unit, Bordeaux University Hospital (CHU), F-33600 Pessac, France.
Donker DW; Cardiovascular and Respiratory Physiology, TechMed Centre, University of Twente, 7522 NB Enschede, The Netherlands.
Oppersma E; Cardiovascular and Respiratory Physiology, TechMed Centre, University of Twente, 7522 NB Enschede, The Netherlands.
Bordachar P; IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, F-33600 Pessac, France.; Cardio-Thoracic Unit, Bordeaux University Hospital (CHU), F-33600 Pessac, France.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Feb 25; Vol. 23 (5). Date of Electronic Publication: 2023 Feb 25.
Typ publikacji:
Journal Article
MeSH Terms:
Electrocardiography*
Heart Diseases*
Humans ; Reproducibility of Results ; Arrhythmias, Cardiac ; Thorax
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Feasibility and Reliability of Smartwatch to Obtain Precordial Lead Electrocardiogram Recordings.
Autorzy:
Sprenger N; Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, 04289 Leipzig, Germany.
Sepehri Shamloo A; Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, 04289 Leipzig, Germany.; Leipzig Heart Digital, Leipzig Heart Institute, 04289 Leipzig, Germany.
Schäfer J; Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, 04289 Leipzig, Germany.
Burkhardt S; Institute of Therapy and Organizational Development, 10961 Berlin, Germany.
Mouratis K; Leipzig Heart Digital, Leipzig Heart Institute, 04289 Leipzig, Germany.
Hindricks G; Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, 04289 Leipzig, Germany.
Bollmann A; Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, 04289 Leipzig, Germany.; Leipzig Heart Digital, Leipzig Heart Institute, 04289 Leipzig, Germany.
Arya A; Department of Electrophysiology, Heart Center Leipzig, University of Leipzig, 04289 Leipzig, Germany.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Feb 05; Vol. 22 (3). Date of Electronic Publication: 2022 Feb 05.
Typ publikacji:
Journal Article
MeSH Terms:
Arrhythmias, Cardiac*
Electrocardiography*
Aged ; Feasibility Studies ; Humans ; Male ; Middle Aged ; Reproducibility of Results
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
ECG monitoring of post-stroke occurring arrhythmias: an observational study using 7-day Holter ECG.
Autorzy:
Carrarini C; Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy. .
Di Stefano V; Department of Biomedicine, Neuroscience and Advanced Diagnostic (BIND), University of Palermo, Palermo, Italy.
Russo M; Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.
Dono F; Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.
Di Pietro M; Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.
Furia N; Department of Cardiology and Cardiac Surgery, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.
Onofrj M; Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.
Bonanni L; Department of Medicine and Aging Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.
Faustino M; Department of Cardiology and Cardiac Surgery, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.
De Angelis MV; Department of Neurology, 'SS Annunziata' Hospital, Chieti, Italy.
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Źródło:
Scientific reports [Sci Rep] 2022 Jan 07; Vol. 12 (1), pp. 228. Date of Electronic Publication: 2022 Jan 07.
Typ publikacji:
Journal Article; Observational Study
MeSH Terms:
Arrhythmias, Cardiac/*diagnosis
Electrocardiography/*methods
Stroke/*complications
Adult ; Aged ; Arrhythmias, Cardiac/etiology ; Arrhythmias, Cardiac/physiopathology ; Female ; Heart/physiopathology ; Humans ; Male ; Middle Aged
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Same family, same mutation, different ECG.
Autorzy:
Akbuğa K; Cardiology Department, Faculty of Medicine, TOBB ETU, Ankara, Turkey.
Karanfil M; Cardiology Clinic, Ankara City Hospital, Ankara, Turkey.
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Źródło:
Molecular genetics & genomic medicine [Mol Genet Genomic Med] 2023 Jan; Vol. 11 (1), pp. e2079. Date of Electronic Publication: 2022 Oct 28.
Typ publikacji:
Journal Article
MeSH Terms:
Electrocardiography*
Long QT Syndrome*/diagnosis
Long QT Syndrome*/genetics
Humans ; Genotype ; Arrhythmias, Cardiac ; Mutation
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Remote Arrhythmia Detection for Eldercare in Malaysia.
Autorzy:
Chew KT; Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching 93350, Sarawak, Malaysia.
Raman V; Department of AI and DS, Coimbatore Institute of Technology, Coimbatore 641014, Tamil Nadu, India.
Then PHH; Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching 93350, Sarawak, Malaysia.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Dec 08; Vol. 21 (24). Date of Electronic Publication: 2021 Dec 08.
Typ publikacji:
Journal Article
MeSH Terms:
Arrhythmias, Cardiac*/diagnosis
Electrocardiography*
Aged ; Algorithms ; Databases, Factual ; Humans ; Malaysia ; Signal Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Non-Standard Electrode Placement Strategies for ECG Signal Acquisition.
Autorzy:
Metshein M; Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia.
Krivošei A; Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia.
Abdullayev A; Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia.
Annus P; Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia.
Märtens O; Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Dec 01; Vol. 22 (23). Date of Electronic Publication: 2022 Dec 01.
Typ publikacji:
Journal Article
MeSH Terms:
Electrocardiography*/methods
Wearable Electronic Devices*
Humans ; Arrhythmias, Cardiac ; Electrodes ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Robust R-peak detection in an electrocardiogram with stationary wavelet transformation and separable convolution.
Autorzy:
Yun D; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Lee HC; Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Korea.
Jung CW; Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Korea.
Kwon S; Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Lee SR; Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Kim K; Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Korea.
Kim YS; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Han SS; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea. .
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Źródło:
Scientific reports [Sci Rep] 2022 Nov 16; Vol. 12 (1), pp. 19638. Date of Electronic Publication: 2022 Nov 16.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Electrocardiography*
Humans ; Wavelet Analysis ; Arrhythmias, Cardiac/diagnosis ; Databases, Factual
Czasopismo naukowe
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