Artículos de revistas sobre el tema "ECG diagnostic systems"
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 "ECG diagnostic systems".
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.
Vijendra, V. y Meghana Kulkarni. "Fuzzy Controlled ID Interpretation Based ECG Diagnostic Systems". Advanced Science Letters 23, n.º 3 (1 de marzo de 2017): 1734–40. http://dx.doi.org/10.1166/asl.2017.8553.
Texto completoSatija, Udit, Barathram Ramkumar y M. Sabarimalai Manikandan. "An automated ECG signal quality assessment method for unsupervised diagnostic systems". Biocybernetics and Biomedical Engineering 38, n.º 1 (2018): 54–70. http://dx.doi.org/10.1016/j.bbe.2017.10.002.
Texto completoZywietz, Chr, J. H. van Bemmel y R. Degani. "Evaluation of ECG Interpretation Systems: Signal Analysis". Methods of Information in Medicine 29, n.º 04 (1990): 298–307. http://dx.doi.org/10.1055/s-0038-1634795.
Texto completoVimal, C. y B. Sathish. "Random Forest Classifier Based ECG Arrhythmia Classification". International Journal of Healthcare Information Systems and Informatics 5, n.º 2 (abril de 2010): 1–10. http://dx.doi.org/10.4018/jhisi.2010040101.
Texto completoNikolsky, A. V., V. M. Levanov, D. V. Drozdov y A. A. Kozlov. "Patients’ selfoperated telemedical solutions for ecg screening". Medical alphabet 2, n.º 12 (26 de noviembre de 2019): 25–28. http://dx.doi.org/10.33667/2078-5631-2019-2-12(387)-25-28.
Texto completoEpstein, Richard H., Yuel-Kai Jean, Roman Dudaryk, Robert E. Freundlich, Jeremy P. Walco, Dorothee A. Mueller y Shawn E. Banks. "Natural Language Mapping of Electrocardiogram Interpretations to a Standardized Ontology". Methods of Information in Medicine 60, n.º 03/04 (septiembre de 2021): 104–9. http://dx.doi.org/10.1055/s-0041-1736312.
Texto completoKhalid Ibrahim, Mohammed, Ahmed A. Hamad, Murad Obaid Abed y Riyadh Abdulhamza Mohammed. "Review: Recent Directions in ECG-FPGA Researches". Journal of University of Babylon for Engineering Sciences 27, n.º 2 (10 de junio de 2019): 242–51. http://dx.doi.org/10.29196/jubes.v27i2.2344.
Texto completoÜbeyli, Elif Derya. "Usage of eigenvector methods in implementation of automated diagnostic systems for ECG beats". Digital Signal Processing 18, n.º 1 (enero de 2008): 33–48. http://dx.doi.org/10.1016/j.dsp.2007.05.005.
Texto completoWilson, Fiona, Cliodhna McHugh, Caroline MacManus, Aaron Baggish, Christopher Tanayan, Satyajit Reddy, Meagan M. Wasfy y Richard B. Reilly. "Diagnostic Accuracy of a Portable ECG Device in Rowing Athletes". Diagnostics 12, n.º 10 (20 de septiembre de 2022): 2271. http://dx.doi.org/10.3390/diagnostics12102271.
Texto completoCervigón, Raquel, Brian McGinley, Darren Craven, Martin Glavin y Edward Jones. "The Effects of Compression on the Detection of Atrial Fibrillation in ECG Signals". Applied Sciences 11, n.º 13 (25 de junio de 2021): 5908. http://dx.doi.org/10.3390/app11135908.
Texto completovan Herpen, G., J. H. van Bemmel y J. A. Kors. "Methodology of the Modular ECG Analysis System MEANS". Methods of Information in Medicine 29, n.º 04 (1990): 346–53. http://dx.doi.org/10.1055/s-0038-1634805.
Texto completoМинина, E. Minina, Файнзильберг y L. Faynzilberg. "Phase Portrait of Single-Channel Ecg in Asseessment of Functional Reserves of Cardiovascular System". Journal of New Medical Technologies 21, n.º 3 (5 de septiembre de 2014): 22–27. http://dx.doi.org/10.12737/5891.
Texto completoGüler, İnan y Elif Derya Übeyli. "Feature saliency using signal-to-noise ratios in automated diagnostic systems developed for ECG beats". Expert Systems with Applications 28, n.º 2 (febrero de 2005): 295–304. http://dx.doi.org/10.1016/j.eswa.2004.10.008.
Texto completoGeorgieva-Tsaneva, G. "Application of Mathematical Methods for Analysis of Digital ECG Data". Information Technologies and Control 14, n.º 2 (1 de junio de 2016): 35–44. http://dx.doi.org/10.1515/itc-2017-0005.
Texto completoYin, Ming, Ru Tang, Miao Liu, Ke Han, Xiao Lv, Maolin Huang, Ping Xu, Yongdeng Hu, Baobao Ma y Yanrong Gai. "Influence of Optimization Design Based on Artificial Intelligence and Internet of Things on the Electrocardiogram Monitoring System". Journal of Healthcare Engineering 2020 (26 de octubre de 2020): 1–8. http://dx.doi.org/10.1155/2020/8840910.
Texto completoMonedero, Iñigo. "A novel ECG diagnostic system for the detection of 13 different diseases". Engineering Applications of Artificial Intelligence 107 (enero de 2022): 104536. http://dx.doi.org/10.1016/j.engappai.2021.104536.
Texto completoSong, Weibo. "A New Method for Refined Recognition for Heart Disease Diagnosis Based on Deep Learning". Information 11, n.º 12 (28 de noviembre de 2020): 556. http://dx.doi.org/10.3390/info11120556.
Texto completoLe, Trung Q., Vibhuthi Chandra, Kahkashan Afrin, Sanjay Srivatsa y Satish Bukkapatnam. "A Dynamic Systems Approach for Detecting and Localizing of Infarct-Related Artery in Acute Myocardial Infarction Using Compressed Paper-Based Electrocardiogram (ECG)". Sensors 20, n.º 14 (17 de julio de 2020): 3975. http://dx.doi.org/10.3390/s20143975.
Texto completoJortveit, Jarle, Andreas Früh y Hans Henrik Odland. "Paroxysmal Tachycardia Diagnosed by ECG247 Smart Heart Sensor in a Previously Healthy Child". Case Reports in Pediatrics 2022 (27 de marzo de 2022): 1–4. http://dx.doi.org/10.1155/2022/9027255.
Texto completoGautham, A. y V. Karthik Raj. "DESIGNING OF A SINGLE ARM SINGLE LEAD ECG SYSTEM FOR WET AND DRY ELECTRODE: A COMPARISON WITH TRADITIONAL SYSTEM". Biomedical Engineering: Applications, Basis and Communications 28, n.º 03 (junio de 2016): 1650021. http://dx.doi.org/10.4015/s1016237216500216.
Texto completoKjeldsen, Sofie Troest, Sarah Dalgas Nissen, Rikke Buhl y Charlotte Hopster-Iversen. "Paroxysmal Atrial Fibrillation in Horses: Pathophysiology, Diagnostics and Clinical Aspects". Animals 12, n.º 6 (10 de marzo de 2022): 698. http://dx.doi.org/10.3390/ani12060698.
Texto completoShyam Kumar, Prashanth, Mouli Ramasamy, Kamala Ramya Kallur, Pratyush Rai y Vijay K. Varadan. "Personalized LSTM Models for ECG Lead Transformations Led to Fewer Diagnostic Errors Than Generalized Models: Deriving 12-Lead ECG from Lead II, V2, and V6". Sensors 23, n.º 3 (26 de enero de 2023): 1389. http://dx.doi.org/10.3390/s23031389.
Texto completoChoi, Sunho, Hyung Joon Joo, Yoojoong Kim, Jong-Ho Kim y Junhee Seok. "Conversion of Automated 12-Lead Electrocardiogram Interpretations to OMOP CDM Vocabulary". Applied Clinical Informatics 13, n.º 04 (agosto de 2022): 880–90. http://dx.doi.org/10.1055/s-0042-1756427.
Texto completoZhu, Wenliang, Lishen Qiu, Wenqiang Cai, Jie Yu, Deyin Li, Wanyue Li, Jun Zhong, Yan Wang y Lirong Wang. "A novel method to reduce false alarms in ECG diagnostic systems: capture and quantification of noisy signals". Physiological Measurement 42, n.º 7 (1 de julio de 2021): 075001. http://dx.doi.org/10.1088/1361-6579/abf9f4.
Texto completoHussein, Ahmed F., Warda R. Mohammed, Mustafa Musa Jaber y Osamah Ibrahim Khalaf. "An Adaptive ECG Noise Removal Process Based on Empirical Mode Decomposition (EMD)". Contrast Media & Molecular Imaging 2022 (17 de agosto de 2022): 1–9. http://dx.doi.org/10.1155/2022/3346055.
Texto completoRibeiro, Pedro, João Alexandre Lobo Marques y Pedro Miguel Rodrigues. "COVID-19 Detection by Means of ECG, Voice, and X-ray Computerized Systems: A Review". Bioengineering 10, n.º 2 (3 de febrero de 2023): 198. http://dx.doi.org/10.3390/bioengineering10020198.
Texto completoShi, Jiguang, Zhoutong Li, Wenhan Liu, Huaicheng Zhang, Qianxi Guo, Sheng Chang, Hao Wang, Jin He y Qijun Huang. "Optimized Solutions of Electrocardiogram Lead and Segment Selection for Cardiovascular Disease Diagnostics". Bioengineering 10, n.º 5 (18 de mayo de 2023): 607. http://dx.doi.org/10.3390/bioengineering10050607.
Texto completoWasimuddin, Muhammad, Khaled Elleithy, Abdelshakour Abuzneid, Miad Faezipour y Omar Abuzaghleh. "Multiclass ECG Signal Analysis Using Global Average-Based 2-D Convolutional Neural Network Modeling". Electronics 10, n.º 2 (14 de enero de 2021): 170. http://dx.doi.org/10.3390/electronics10020170.
Texto completoFloriano, Pierre N., Nicolaos Christodoulides, Craig S. Miller, Jeffrey L. Ebersole, John Spertus, Beate G. Rose, Denis F. Kinane et al. "Use of Saliva-Based Nano-Biochip Tests for Acute Myocardial Infarction at the Point of Care: A Feasibility Study". Clinical Chemistry 55, n.º 8 (1 de agosto de 2009): 1530–38. http://dx.doi.org/10.1373/clinchem.2008.117713.
Texto completoTimofeev, E. V. "INTERNET ELECTROCARDIOGRAPHY IN PEDIATRICS". Juvenis Scientia 7, n.º 6 (2021): 17–27. http://dx.doi.org/10.32415/jscientia_2021_7_6_17-27.
Texto completoKirakosyan, E. V. y M. M. Lokhmatov. "Therapeutic and diagnostic enteroscopy in children: 15 years of experience". Experimental and Clinical Gastroenterology, n.º 1 (2 de mayo de 2020): 102–10. http://dx.doi.org/10.31146/1682-8658-ecg-173-1-102-110.
Texto completoNeycheva, Tatyana, Dobromir Dobrev y Vessela Krasteva. "Common-Mode Driven Synchronous Filtering of the Powerline Interference in ECG". Applied Sciences 12, n.º 22 (8 de noviembre de 2022): 11328. http://dx.doi.org/10.3390/app122211328.
Texto completoVasudeva, Shrivathsa Thokur, Shrikantha Sasihithlu Rao, Navin Karanth Panambur, Arun Kumar Shettigar, Chakrapani Mahabala, Padmanabh Kamath, Manjunath Patel Gowdru Chandrashekarappa y Emanoil Linul. "Development of a Convolutional Neural Network Model to Predict Coronary Artery Disease Based on Single-Lead and Twelve-Lead ECG Signals". Applied Sciences 12, n.º 15 (31 de julio de 2022): 7711. http://dx.doi.org/10.3390/app12157711.
Texto completoKrasteva, Vessela, Ivaylo Christov, Stefan Naydenov, Todor Stoyanov y Irena Jekova. "Application of Dense Neural Networks for Detection of Atrial Fibrillation and Ranking of Augmented ECG Feature Set". Sensors 21, n.º 20 (15 de octubre de 2021): 6848. http://dx.doi.org/10.3390/s21206848.
Texto completoSandberg, Edvard Liljedahl, Bjørnar Leangen Grenne, Trygve Berge, Jostein Grimsmo, Dan Atar, Sigrun Halvorsen, Rune Fensli y Jarle Jortveit. "Diagnostic Accuracy and Usability of the ECG247 Smart Heart Sensor Compared to Conventional Holter Technology". Journal of Healthcare Engineering 2021 (2 de noviembre de 2021): 1–8. http://dx.doi.org/10.1155/2021/5230947.
Texto completoKhan, Ali Haider, Muzammil Hussain y Muhammad Kamran Malik. "Arrhythmia Classification Techniques Using Deep Neural Network". Complexity 2021 (20 de abril de 2021): 1–10. http://dx.doi.org/10.1155/2021/9919588.
Texto completoJoseph Michael Jerard, V., M. Thilagaraj, K. Pandiaraj, M. Easwaran, Petchinathan Govindan y V. Elamaran. "Reconfigurable Architectures with High-Frequency Noise Suppression for Wearable ECG Devices". Journal of Healthcare Engineering 2021 (22 de diciembre de 2021): 1–12. http://dx.doi.org/10.1155/2021/1552641.
Texto completoRəşadət qızı Bəşirova, Rəşidə. "A new approach to the analysis of electrocardiological signals studied in athletes under stress". SCIENTIFIC WORK 76, n.º 3 (18 de marzo de 2022): 173–77. http://dx.doi.org/10.36719/2663-4619/76/168-173-177.
Texto completoSatheesh Pandian, C. y A. M. Kalpana. "HybDeepNet: ECG Signal Based Cardiac Arrhythmia Diagnosis Using a Hybrid Deep Learning Model". Information Technology and Control 52, n.º 2 (15 de julio de 2023): 416–32. http://dx.doi.org/10.5755/j01.itc.52.2.33302.
Texto completoQin, Jing, Fujie Gao, Zumin Wang, Lu Liu y Changqing Ji. "Arrhythmia Detection Based on WGAN-GP and SE-ResNet1D". Electronics 11, n.º 21 (23 de octubre de 2022): 3427. http://dx.doi.org/10.3390/electronics11213427.
Texto completoAttin, Mina, Lu Wang, S. M. Reza Soroushmehr, Chii-Dean Lin, Hector Lemus, Maxwell Spadafore y Kayvan Najarian. "Digitization of Electrocardiogram From Telemetry Prior to In-hospital Cardiac Arrest". Biological Research For Nursing 18, n.º 2 (27 de agosto de 2015): 230–36. http://dx.doi.org/10.1177/1099800415602092.
Texto completoHe, Yan, Bin Fu, Jian Yu, Renfa Li y Rucheng Jiang. "Efficient Learning of Healthcare Data from IoT Devices by Edge Convolution Neural Networks". Applied Sciences 10, n.º 24 (15 de diciembre de 2020): 8934. http://dx.doi.org/10.3390/app10248934.
Texto completoRayavarapu, Swarajya Madhuri, Tammineni Shanmukha Prashanthi, Gottapu Santosh Kumar, Yenneti Laxmi Lavanya y Gottapu Sasibhushana Rao. "A Generative Adversarial Network Based Approach for Synthesis of Deep Fake Electrocardiograms". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 3 (4 de abril de 2023): 223–27. http://dx.doi.org/10.17762/ijritcc.v11i3.6340.
Texto completoHossain, Parwez, Abdo Karim Tourkmani, Dimitri Kazakos, Mark Jones y David Anderson. "Emergency corneal grafting in the UK: a 6-year analysis of the UK Transplant Registry". British Journal of Ophthalmology 102, n.º 1 (11 de mayo de 2017): 26–30. http://dx.doi.org/10.1136/bjophthalmol-2016-309870.
Texto completoМинина y E. Minina. "A New Approach to Examine the Relationship between Functional Preparedness and Electrogenesis in the Athletes Using the Etalon Cardiocycle". Journal of New Medical Technologies. eJournal 8, n.º 1 (5 de noviembre de 2014): 1–5. http://dx.doi.org/10.12737/5950.
Texto completoSimoliuniene, R., M. Tamosiunas, V. Saferis, A. Vainoras, L. Gargasas y A. Krisciukaitis. "Efficiency Evaluation of Autonomic Heart Control by Using the Principal Component Analysis of ECG P-Wave". Methods of Information in Medicine 49, n.º 02 (2010): 161–67. http://dx.doi.org/10.3414/me9306.
Texto completoAli, Hassan, Hein Htet Naing y Raziq Yaqub. "An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection". Electronics 10, n.º 16 (4 de agosto de 2021): 1871. http://dx.doi.org/10.3390/electronics10161871.
Texto completoSharma, Manish, Jaypal Singh Rajput, Ru San Tan y U. Rajendra Acharya. "Automated Detection of Hypertension Using Physiological Signals: A Review". International Journal of Environmental Research and Public Health 18, n.º 11 (29 de mayo de 2021): 5838. http://dx.doi.org/10.3390/ijerph18115838.
Texto completoJaveed, Ashir, Shafqat Ullah Khan, Liaqat Ali, Sardar Ali, Yakubu Imrana y Atiqur Rahman. "Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions". Computational and Mathematical Methods in Medicine 2022 (3 de febrero de 2022): 1–30. http://dx.doi.org/10.1155/2022/9288452.
Texto completoGori, O., R. Raggini, R. Sant’Angelo, G. Tricomi, G. De Paoli, S. Grittani y G. Piraccini. "Improve health care access is possible. A case report". European Psychiatry 64, S1 (abril de 2021): S791. http://dx.doi.org/10.1192/j.eurpsy.2021.2092.
Texto completo