Artículos de revistas sobre el tema "ARRHYTHMIA DATABASE"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "ARRHYTHMIA DATABASE".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
CHIU, CHUANG-CHIEN, TONG-HONG LIN y BEN-YI LIAU. "USING CORRELATION COEFFICIENT IN ECG WAVEFORM FOR ARRHYTHMIA DETECTION". Biomedical Engineering: Applications, Basis and Communications 17, n.º 03 (25 de junio de 2005): 147–52. http://dx.doi.org/10.4015/s1016237205000238.
Texto completoZhai, Yuyun, Jinwei Li y Quan Zhang. "Network pharmacology and molecular docking analyses of the potential target proteins and molecular mechanisms underlying the anti-arrhythmic effects of Sophora Flavescens". Medicine 102, n.º 30 (28 de julio de 2023): e34504. http://dx.doi.org/10.1097/md.0000000000034504.
Texto completoDeal, Barbara J., Constantine Mavroudis, Jeffrey Phillip Jacobs, Melanie Gevitz y Carl Lewis Backer. "Arrhythmic complications associated with the treatment of patients with congenital cardiac disease: consensus definitions from the Multi-Societal Database Committee for Pediatric and Congenital Heart Disease". Cardiology in the Young 18, S2 (diciembre de 2008): 202–5. http://dx.doi.org/10.1017/s104795110800293x.
Texto completoMoreland-Head, Lindsay N., James C. Coons, Amy L. Seybert, Matthew P. Gray y Sandra L. Kane-Gill. "Use of Disproportionality Analysis to Identify Previously Unknown Drug-Associated Causes of Cardiac Arrhythmias Using the Food and Drug Administration Adverse Event Reporting System (FAERS) Database". Journal of Cardiovascular Pharmacology and Therapeutics 26, n.º 4 (6 de enero de 2021): 341–48. http://dx.doi.org/10.1177/1074248420984082.
Texto completoZeng, Yuni, Hang Lv, Mingfeng Jiang, Jucheng Zhang, Ling Xia, Yaming Wang y Zhikang Wang. "Deep arrhythmia classification based on SENet and lightweight context transform". Mathematical Biosciences and Engineering 20, n.º 1 (2022): 1–17. http://dx.doi.org/10.3934/mbe.2023001.
Texto completoKapoor, Ankita, Samarthkumar Thakkar, Lucas Battel, Harsh P. Patel, Nikhil Agrawal, Shipra Gandhi, Pritika Manaktala et al. "The Prevalence and Impact of Arrhythmias in Hospitalized Patients with Sickle Cell Disorders: A Large Database Analysis". Blood 136, Supplement 1 (5 de noviembre de 2020): 5–6. http://dx.doi.org/10.1182/blood-2020-142099.
Texto completoOTHMAN, MOHD AFZAN y NORLAILI MAT SAFRI. "CHARACTERIZATION OF VENTRICULAR ARRHYTHMIAS USING A SEMANTIC MINING ALGORITHM". Journal of Mechanics in Medicine and Biology 12, n.º 03 (junio de 2012): 1250049. http://dx.doi.org/10.1142/s0219519412004946.
Texto completoXu, Gang, Guangxin Xing, Juanjuan Jiang, Jian Jiang y Yongsheng Ke. "Arrhythmia Detection Using Gated Recurrent Unit Network with ECG Signals". Journal of Medical Imaging and Health Informatics 10, n.º 3 (1 de marzo de 2020): 750–57. http://dx.doi.org/10.1166/jmihi.2020.2928.
Texto completoN. S. V Rama Raju, N., V. Malleswara Rao y I. Srinivasa Rao. "Automatic detection and classification of cardiac arrhythmia using neural network". International Journal of Engineering & Technology 7, n.º 3 (11 de julio de 2018): 1482. http://dx.doi.org/10.14419/ijet.v7i3.14084.
Texto completoHerman, Jeffrey N., Richard I. Fogel, Philip J. Podrid y Gary R. Garber. "Entropy: A cardiac arrhythmia multimedia database". Journal of the American College of Cardiology 17, n.º 2 (febrero de 1991): A10. http://dx.doi.org/10.1016/0735-1097(91)91008-3.
Texto completoUmapathi, Krishna Kishore, Aravind Thavamani, Harshitha Dhanpalreddy y Hoang H. Nguyen. "Prevalence of cardiac arrhythmias in cannabis use disorder related hospitalizations in teenagers from 2003 to 2016 in the United States". EP Europace 23, n.º 8 (16 de marzo de 2021): 1302–9. http://dx.doi.org/10.1093/europace/euab033.
Texto completoGiriprasad Gaddam, P., A. Sanjeeva reddy y R. V. Sreehari. "Automatic Classification of Cardiac Arrhythmias based on ECG Signals Using Transferred Deep Learning Convolution Neural Network". Journal of Physics: Conference Series 2089, n.º 1 (1 de noviembre de 2021): 012058. http://dx.doi.org/10.1088/1742-6596/2089/1/012058.
Texto completoSoniwala, Mujtaba, Saadia Sherazi, Susan Schleede, Scott McNitt, Tina Faugh, Jeremiah Moore, Justin Foster et al. "Arrhythmia Burden in Patients with Indolent Lymphoma". Blood 136, Supplement 1 (5 de noviembre de 2020): 6–7. http://dx.doi.org/10.1182/blood-2020-140053.
Texto completoHammad, Mohamed, Souham Meshoul, Piotr Dziwiński, Paweł Pławiak y Ibrahim A. Elgendy. "Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification". Sensors 22, n.º 23 (1 de diciembre de 2022): 9347. http://dx.doi.org/10.3390/s22239347.
Texto completoKozieł, Paweł, Maria Grodkiewicz, Klaudia Artykiewicz, Kamila Gorczyca, Marcin Czarkowski, Aleksandra Słupczyńska, Weronika Urbaś, Klaudia Podgórska, Aleksandra Puła y Urszula Krzysiek. "Does the watch can detect cardiac arrhythmias?" Journal of Education, Health and Sport 13, n.º 2 (8 de enero de 2023): 293–98. http://dx.doi.org/10.12775/jehs.2023.13.02.042.
Texto completoDeCamilla, J., X. Xia, M. Wang, J. Wade, B. Mykins, W. Zareba y J. P. Couderc. "The multiple arrhythmia dataset evaluation database (M.A.D.A.E.)". Journal of Electrocardiology 51, n.º 6 (noviembre de 2018): S106—S112. http://dx.doi.org/10.1016/j.jelectrocard.2018.08.005.
Texto completoLinghu, Rongqian y Ke Zhang. "Real-time Automatic Arrhythmia Detection System based on Extreme Gradient Boosting and Neural Network Algorithm". Journal of Physics: Conference Series 2449, n.º 1 (1 de marzo de 2023): 012033. http://dx.doi.org/10.1088/1742-6596/2449/1/012033.
Texto completoCintra, Fatima Dumas, Marcia Regina Pinho Makdisse, Wercules Antônio Alves de Oliveira, Camila Furtado Rizzi, Francisco Otávio de Oliveira Luiz, Sergio Tufik, Angelo Amato Vincenzo de Paola y Dalva Poyares. "Exercise-induced ventricular arrhythmias: analysis of predictive factors in a population with sleep disorders". Einstein (São Paulo) 8, n.º 1 (marzo de 2010): 62–67. http://dx.doi.org/10.1590/s1679-45082010ao1469.
Texto completoLiu, Feifei, Chengyu Liu, Xinge Jiang, Zhimin Zhang, Yatao Zhang, Jianqing Li y Shoushui Wei. "Performance Analysis of Ten Common QRS Detectors on Different ECG Application Cases". Journal of Healthcare Engineering 2018 (2018): 1–8. http://dx.doi.org/10.1155/2018/9050812.
Texto completoKhalaf, Akram Jaddoa y Samir Jasim Mohammed. "Verification and comparison of MIT-BIH arrhythmia database based on number of beats". International Journal of Electrical and Computer Engineering (IJECE) 11, n.º 6 (1 de diciembre de 2021): 4950. http://dx.doi.org/10.11591/ijece.v11i6.pp4950-4961.
Texto completoLin, Shih-Yi, Wu-Huei Hsu, Cheng-Chieh Lin, Cheng-Li Lin, Chun-Hao Tsai, Chih-Hsueh Lin, Der-Cherng Chen, Tsung-Chih Lin, Chung-Y. Hsu y Chia-Hung Kao. "Association of Arrhythmia in Patients with Cervical Spondylosis: A Nationwide Population-Based Cohort Study". Journal of Clinical Medicine 7, n.º 9 (23 de agosto de 2018): 236. http://dx.doi.org/10.3390/jcm7090236.
Texto completoAbdou, Abdoul-Dalibou, Ndeye Fatou Ngom y Oumar Niang. "Arrhythmias Prediction Using an Hybrid Model Based on Convolutional Neural Network and Nonlinear Regression". International Journal of Computational Intelligence and Applications 19, n.º 03 (septiembre de 2020): 2050024. http://dx.doi.org/10.1142/s1469026820500248.
Texto completoBae, Tae Wuk, Sang Hag Lee y Kee Koo Kwon. "An Adaptive Median Filter Based on Sampling Rate for R-Peak Detection and Major-Arrhythmia Analysis". Sensors 20, n.º 21 (29 de octubre de 2020): 6144. http://dx.doi.org/10.3390/s20216144.
Texto completoMoody, G. B. y R. G. Mark. "The impact of the MIT-BIH Arrhythmia Database". IEEE Engineering in Medicine and Biology Magazine 20, n.º 3 (2001): 45–50. http://dx.doi.org/10.1109/51.932724.
Texto completoShen, Qin, Hongxiang Gao, Yuwen Li, Qi Sun, Minglong Chen, Jianqing Li y Chengyu Liu. "An Open-Access Arrhythmia Database of Wearable Electrocardiogram". Journal of Medical and Biological Engineering 40, n.º 4 (22 de julio de 2020): 564–74. http://dx.doi.org/10.1007/s40846-020-00554-3.
Texto completokamil, Sarah y Lamia Muhammed. "Arrhythmia Classification Using One Dimensional Conventional Neural Network". International Journal of Advances in Soft Computing and its Applications 13, n.º 3 (28 de noviembre de 2021): 43–58. http://dx.doi.org/10.15849/ijasca.211128.04.
Texto completoMa, Shuai, Jianfeng Cui, Weidong Xiao y Lijuan Liu. "Deep Learning-Based Data Augmentation and Model Fusion for Automatic Arrhythmia Identification and Classification Algorithms". Computational Intelligence and Neuroscience 2022 (11 de agosto de 2022): 1–17. http://dx.doi.org/10.1155/2022/1577778.
Texto completoQin, Qin, Jianqing Li, Yinggao Yue y Chengyu Liu. "An Adaptive and Time-Efficient ECG R-Peak Detection Algorithm". Journal of Healthcare Engineering 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/5980541.
Texto completoHamarsheh, Qadri. "Autoregressive Modeling based ECG Cardiac Arrhythmias’ Database System". International Journal of Circuits, Systems and Signal Processing 16 (26 de julio de 2022): 1074–83. http://dx.doi.org/10.46300/9106.2022.16.130.
Texto completoChintalapati, Usha Kumari, Md Aqeel Manzar, Tarun Varma N, Reethika A, Priya Samhitha B, Rohitha Sivani J, Kamran Ali Mirza y Pranav Kumar S. "Automated Detection of Depolarization and Repolarization of Cardiac Signal for Arrhythmia Classification". International Journal of Online and Biomedical Engineering (iJOE) 17, n.º 02 (12 de febrero de 2021): 173. http://dx.doi.org/10.3991/ijoe.v17i02.18955.
Texto completoMathunjwa, Bhekumuzi M., Yin-Tsong Lin, Chien-Hung Lin, Maysam F. Abbod, Muammar Sadrawi y Jiann-Shing Shieh. "ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features". Sensors 22, n.º 4 (20 de febrero de 2022): 1660. http://dx.doi.org/10.3390/s22041660.
Texto completoAnwar, Syed Muhammad, Maheen Gul, Muhammad Majid y Majdi Alnowami. "Arrhythmia Classification of ECG Signals Using Hybrid Features". Computational and Mathematical Methods in Medicine 2018 (12 de noviembre de 2018): 1–8. http://dx.doi.org/10.1155/2018/1380348.
Texto completoZHANG, JIA-WEI, XIA LIU y JUN DONG. "CCDD: AN ENHANCED STANDARD ECG DATABASE WITH ITS MANAGEMENT AND ANNOTATION TOOLS". International Journal on Artificial Intelligence Tools 21, n.º 05 (octubre de 2012): 1240020. http://dx.doi.org/10.1142/s0218213012400209.
Texto completoSoni, Ekta, Arpita Nagpal, Puneet Garg y Plácido Rogerio Pinheiro. "Assessment of Compressed and Decompressed ECG Databases for Telecardiology Applying a Convolution Neural Network". Electronics 11, n.º 17 (29 de agosto de 2022): 2708. http://dx.doi.org/10.3390/electronics11172708.
Texto completoZhou, Haiying, Xiancheng Zhu, Sishan Wang, Kui Zhou, Zheng Ma, Jian Li, Kun-Mean Hou y Christophe De Vaulx. "A Novel Cardiac Arrhythmias Detection Approach for Real-Time Ambulatory ECG Diagnosis". International Journal of Pattern Recognition and Artificial Intelligence 31, n.º 10 (9 de marzo de 2017): 1758004. http://dx.doi.org/10.1142/s0218001417580046.
Texto completoShadhon Chandra Mohonta y Md. Firoj Ali. "A Novel Approach to Detect Cardiac Arrhythmia Based on Continuous Wavelet Transform and Convolutional Neural Network". MIST INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY 10 (29 de diciembre de 2022): 37–41. http://dx.doi.org/10.47981/j.mijst.10(03)2022.341(37-41).
Texto completoQi, Meng, Hongxiang Shao, Nianfeng Shi, Guoqiang Wang y Yifei Lv. "Arrhythmia classification detection based on multiple electrocardiograms databases". PLOS ONE 18, n.º 9 (27 de septiembre de 2023): e0290995. http://dx.doi.org/10.1371/journal.pone.0290995.
Texto completoYan, Wei y Zhen Zhang. "Online Automatic Diagnosis System of Cardiac Arrhythmias Based on MIT-BIH ECG Database". Journal of Healthcare Engineering 2021 (16 de diciembre de 2021): 1–9. http://dx.doi.org/10.1155/2021/1819112.
Texto completoMeng, Yang, Guoxin Liang y Mei Yue. "Deep Learning-Based Arrhythmia Detection in Electrocardiograph". Scientific Programming 2021 (13 de mayo de 2021): 1–7. http://dx.doi.org/10.1155/2021/9926769.
Texto completoWang, Liang-Hung, Ze-Hong Yan, Yi-Ting Yang, Jun-Ying Chen, Tao Yang, I.-Chun Kuo, Patricia Angela R. Abu, Pao-Cheng Huang, Chiung-An Chen y Shih-Lun Chen. "A Classification and Prediction Hybrid Model Construction with the IQPSO-SVM Algorithm for Atrial Fibrillation Arrhythmia". Sensors 21, n.º 15 (1 de agosto de 2021): 5222. http://dx.doi.org/10.3390/s21155222.
Texto completoXiao, Qiao, Khuan Lee, Siti Aisah Mokhtar, Iskasymar Ismail, Ahmad Luqman bin Md Pauzi, Qiuxia Zhang y Poh Ying Lim. "Deep Learning-Based ECG Arrhythmia Classification: A Systematic Review". Applied Sciences 13, n.º 8 (14 de abril de 2023): 4964. http://dx.doi.org/10.3390/app13084964.
Texto completoMANDAL, SAURAV y NABANITA SINHA. "ARRHYTHMIA DIAGNOSIS FROM ECG SIGNAL ANALYSIS USING STATISTICAL FEATURES AND NOVEL CLASSIFICATION METHOD". Journal of Mechanics in Medicine and Biology 21, n.º 03 (18 de marzo de 2021): 2150025. http://dx.doi.org/10.1142/s0219519421500251.
Texto completoSarshar, Nazanin Tataei y Mohammad Mirzaei. "Premature Ventricular Contraction Recognition Based on a Deep Learning Approach". Journal of Healthcare Engineering 2022 (26 de marzo de 2022): 1–7. http://dx.doi.org/10.1155/2022/1450723.
Texto completoUllah, Wusat, Imran Siddique, Rana Muhammad Zulqarnain, Mohammad Mahtab Alam, Irfan Ahmad y Usman Ahmad Raza. "Classification of Arrhythmia in Heartbeat Detection Using Deep Learning". Computational Intelligence and Neuroscience 2021 (19 de octubre de 2021): 1–13. http://dx.doi.org/10.1155/2021/2195922.
Texto completoBen Itzhak, Sagi, Shir Sharony Ricon, Shany Biton, Joachim A. Behar y Jonathan A. Sobel. "Effect of temporal resolution on the detection of cardiac arrhythmias using HRV features and machine learning". Physiological Measurement 43, n.º 4 (28 de abril de 2022): 045002. http://dx.doi.org/10.1088/1361-6579/ac6561.
Texto completoWilly, Kevin, Julia Köbe, Florian Reinke, Benjamin Rath, Christian Ellermann, Julian Wolfes, Felix K. Wegner et al. "Usefulness of the MADIT-ICD Benefit Score in a Large Mixed Patient Cohort of Primary Prevention of Sudden Cardiac Death". Journal of Personalized Medicine 12, n.º 8 (28 de julio de 2022): 1240. http://dx.doi.org/10.3390/jpm12081240.
Texto completoYang, Xiong, Xin Yu Jin y Jian Feng Shen. "A PVC Identification Method of ECG Signal Based on Improved BPNN". Applied Mechanics and Materials 738-739 (marzo de 2015): 578–81. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.578.
Texto completoIlbeigipour, Sadegh, Amir Albadvi y Elham Akhondzadeh Noughabi. "Real-Time Heart Arrhythmia Detection Using Apache Spark Structured Streaming". Journal of Healthcare Engineering 2021 (22 de abril de 2021): 1–13. http://dx.doi.org/10.1155/2021/6624829.
Texto completoTejedor, Javier, David G. Marquez, Constantino A. Garcia y Abraham Otero. "A Tandem Feature Extraction Approach for Arrhythmia Identification". Electronics 10, n.º 8 (19 de abril de 2021): 976. http://dx.doi.org/10.3390/electronics10080976.
Texto completoSATHYAMANGALAM NATARAJAN, SHIVAPPRIYA, ARUN KUMAR SHANMUGAM, JUDE HEMANTH DURAISAMY y HARIKUMAR RAJAGURU. "PREDICTION OF CARDIAC ARRHYTHMIA USING MULTI CLASS CLASSIFIERS BY INCORPORATING WAVELET TRANSFORM BASED FEATURES". DYNA 97, n.º 4 (1 de julio de 2022): 418–24. http://dx.doi.org/10.6036/10458.
Texto completo