Artículos de revistas sobre el tema "Electrocardiogram decomposition"
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REDIF, Soydan. "Fetal electrocardiogram estimation using polynomial eigenvalue decomposition". TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 24 (2016): 2483–97. http://dx.doi.org/10.3906/elk-1401-19.
Texto completoSameni, R., C. Jutten y M. B. Shamsollahi. "Multichannel Electrocardiogram Decomposition Using Periodic Component Analysis". IEEE Transactions on Biomedical Engineering 55, n.º 8 (agosto de 2008): 1935–40. http://dx.doi.org/10.1109/tbme.2008.919714.
Texto completoMalhotra, Vikas y MandeepKaur Sandhu. "Electrocardiogram signals denoising using improved variational mode decomposition". Journal of Medical Signals & Sensors 11, n.º 2 (2021): 100. http://dx.doi.org/10.4103/jmss.jmss_17_20.
Texto completoSuppappola, Seth, Ying Sun y Salvatore A. Chiaramida. "Gaussian pulse decomposition: An intuitive model of electrocardiogram waveforms". Annals of Biomedical Engineering 25, n.º 2 (marzo de 1997): 252–60. http://dx.doi.org/10.1007/bf02648039.
Texto completoSUCHETHA, M. y N. KUMARAVEL. "CLASSIFICATION OF ARRHYTHMIA IN ELECTROCARDIOGRAM USING EMD BASED FEATURES AND SUPPORT VECTOR MACHINE WITH MARGIN SAMPLING". International Journal of Computational Intelligence and Applications 12, n.º 03 (septiembre de 2013): 1350015. http://dx.doi.org/10.1142/s1469026813500156.
Texto completoProskurin, S. G. "Trigeminy electrocardiogram spectral characteristics study". CARDIOMETRY, n.º 27 (4 de mayo de 2023): 75–79. http://dx.doi.org/10.18137/cardiometry.2023.27.7679.
Texto completoZhang, Xiaohong, Huiling Tong, Yanjun Deng, Mengjiao Lv y Zhidong Zhao. "Electrocardiogram Human Identification System Based on Block Sparse Bayesian Decomposition". Journal of Medical Imaging and Health Informatics 7, n.º 1 (1 de febrero de 2017): 264–72. http://dx.doi.org/10.1166/jmihi.2017.2017.
Texto completoJannah, N., S. Hadjiloucas, F. Hwang y R. K. H. Galvão. "Smart-phone based electrocardiogram wavelet decomposition and neural network classification". Journal of Physics: Conference Series 450 (26 de junio de 2013): 012019. http://dx.doi.org/10.1088/1742-6596/450/1/012019.
Texto completoKUMARI, R. SHANTHA SELVA y V. SADASIVAM. "DE-NOISING AND BASELINE WANDERING REMOVAL OF ELECTROCARDIOGRAM USING DOUBLE DENSITY DISCRETE WAVELET". International Journal of Wavelets, Multiresolution and Information Processing 05, n.º 03 (mayo de 2007): 399–415. http://dx.doi.org/10.1142/s0219691307001823.
Texto completoPadhy, Sibasankar y Samarendra Dandapat. "Exploiting multi‐lead electrocardiogram correlations using robust third‐order tensor decomposition". Healthcare Technology Letters 2, n.º 5 (septiembre de 2015): 112–17. http://dx.doi.org/10.1049/htl.2015.0020.
Texto completoGupta, Praveen, Kamalesh Kumar Sharma y Shiv Dutt Joshi. "Baseline wander removal of electrocardiogram signals using multivariate empirical mode decomposition". Healthcare Technology Letters 2, n.º 6 (26 de noviembre de 2015): 164–66. http://dx.doi.org/10.1049/htl.2015.0029.
Texto completoHan, G., B. Lin y Z. Xu. "Electrocardiogram signal denoising based on empirical mode decomposition technique: an overview". Journal of Instrumentation 12, n.º 03 (10 de marzo de 2017): P03010. http://dx.doi.org/10.1088/1748-0221/12/03/p03010.
Texto completoXue, Joel. "New morphology features of pediatric long-QT electrocardiogram by signal decomposition". Journal of Electrocardiology 38, n.º 4 (octubre de 2005): 38–39. http://dx.doi.org/10.1016/j.jelectrocard.2005.06.053.
Texto completoToulni, Youssef, Nsiri Benayad y Belhoussine Drissi Taoufiq. "Electrocardiogram signals classification using discrete wavelet transform and support vector machine classifier". IAES International Journal of Artificial Intelligence (IJ-AI) 10, n.º 4 (1 de diciembre de 2021): 960. http://dx.doi.org/10.11591/ijai.v10.i4.pp960-970.
Texto completoTian, Xiaoying, Yongshuai Li, Huan Zhou, Xiang Li, Lisha Chen y Xuming Zhang. "Electrocardiogram Signal Denoising Using Extreme-Point Symmetric Mode Decomposition and Nonlocal Means". Sensors 16, n.º 10 (25 de septiembre de 2016): 1584. http://dx.doi.org/10.3390/s16101584.
Texto completoBarbosa, P. R. B., J. Barbosa-Filho, C. A. M. de Sa, E. C. Barbosa y J. Nadal. "Reduction of electromyographic noise in the signal-averaged electrocardiogram by spectral decomposition". IEEE Transactions on Biomedical Engineering 50, n.º 1 (enero de 2003): 114–17. http://dx.doi.org/10.1109/tbme.2002.805465.
Texto completoYao, Wen Po, Jun Chang Zhao, Zheng Zhong Zheng, Tie Bing Liu, Hong Xing Liu y Jun Wang. "Fetal Electrocardiogram Extraction Based on Modified Robust Independent Component Analysis". Advanced Materials Research 749 (agosto de 2013): 250–53. http://dx.doi.org/10.4028/www.scientific.net/amr.749.250.
Texto completoLi, Guo Jun, Xiao Jie Hao, Hui Zhong y Xiao Na Zhou. "Separating Nonstationary Powerline Interference from ECG Using Empirical Mode Decomposition". Applied Mechanics and Materials 155-156 (febrero de 2012): 736–40. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.736.
Texto completoChung, Iau-Quen, Jen-Te Yu y Wei-Chi Hu. "Estimating Heart Rate and Respiratory Rate from a Single Lead Electrocardiogram Using Ensemble Empirical Mode Decomposition and Spectral Data Fusion". Sensors 21, n.º 4 (8 de febrero de 2021): 1184. http://dx.doi.org/10.3390/s21041184.
Texto completoAchamma T Varghese. "Integrating Morphological Characteristics with Empirical Mode Decomposition for Robust ECG Signal Classification". Communications on Applied Nonlinear Analysis 31, n.º 2s (1 de junio de 2024): 532–45. http://dx.doi.org/10.52783/cana.v31.665.
Texto completoSuchetha, M. y N. Kumaravel. "Empirical Mode Decomposition-based Subtraction Techniques for 50 Hz Interference Reduction from Electrocardiogram". IETE Journal of Research 59, n.º 1 (2013): 55. http://dx.doi.org/10.4103/0377-2063.110631.
Texto completoFernandes, Dylan Royce y Suchetha M. "FIELD-PROGRAMMABLE GATE ARRAY IMPLEMENTATION OF EMPIRICAL MODE DECOMPOSITION ALGORITHM FOR ELECTROCARDIOGRAM PROCESSING". Asian Journal of Pharmaceutical and Clinical Research 10, n.º 13 (1 de abril de 2017): 77. http://dx.doi.org/10.22159/ajpcr.2017.v10s1.19569.
Texto completoS, Jerritta, M. Murugappan, Khairunizam Wan y Sazali Yaacob. "Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete Fourier transform". Expert Systems 31, n.º 2 (13 de marzo de 2013): 110–20. http://dx.doi.org/10.1111/exsy.12014.
Texto completoCenteno-Bautista, Manuel A., Angel H. Rangel-Rodriguez, Andrea V. Perez-Sanchez, Juan P. Amezquita-Sanchez, David Granados-Lieberman y Martin Valtierra-Rodriguez. "Electrocardiogram Analysis by Means of Empirical Mode Decomposition-Based Methods and Convolutional Neural Networks for Sudden Cardiac Death Detection". Applied Sciences 13, n.º 6 (10 de marzo de 2023): 3569. http://dx.doi.org/10.3390/app13063569.
Texto completoThakran, Snekha. "A hybrid GPFA-EEMD_Fuzzy threshold method for ECG signal de-noising". Journal of Intelligent & Fuzzy Systems 39, n.º 5 (19 de noviembre de 2020): 6773–82. http://dx.doi.org/10.3233/jifs-191518.
Texto completoMohguen, W. y S. Bouguezel. "Denoising the ECG Signal Using Ensemble Empirical Mode Decomposition". Engineering, Technology & Applied Science Research 11, n.º 5 (12 de octubre de 2021): 7536–41. http://dx.doi.org/10.48084/etasr.4302.
Texto completoHao, Jingyu, Yuyao Yang, Zhuhuang Zhou y Shuicai Wu. "Fetal Electrocardiogram Signal Extraction Based on Fast Independent Component Analysis and Singular Value Decomposition". Sensors 22, n.º 10 (12 de mayo de 2022): 3705. http://dx.doi.org/10.3390/s22103705.
Texto completoMathur, Mridul Kumar y Gyan Prakash Bissa. "Combined Principal Component Analysis and Compression of Lead Electrocardiogram signal using Singular Value Decomposition". International Journal of Computer Trends and Technology 45, n.º 1 (25 de marzo de 2017): 4–9. http://dx.doi.org/10.14445/22312803/ijctt-v45p102.
Texto completoJebaraj, Jenitta y Rajeswari Arumugam. "Ensemble empirical mode decomposition‐based optimised power line interference removal algorithm for electrocardiogram signal". IET Signal Processing 10, n.º 6 (agosto de 2016): 583–91. http://dx.doi.org/10.1049/iet-spr.2015.0292.
Texto completoYi, G. "Predictive value of wavelet decomposition of the signal-averaged electrocardiogram in idiopathic dilated cardiomyopathy". European Heart Journal 21, n.º 12 (15 de junio de 2000): 1015–22. http://dx.doi.org/10.1053/euhj.1999.2009.
Texto completoBanerjee, Soumyendu y Girish Kumar Singh. "Quality Aware Compression of Multilead Electrocardiogram Signal using 2-mode Tucker Decomposition and Steganography". Biomedical Signal Processing and Control 64 (febrero de 2021): 102230. http://dx.doi.org/10.1016/j.bspc.2020.102230.
Texto completoYu, Wei, Qiang Han, Jing Jing Ma y Pei Xie. "A New Method for Biomedical Signal Processing with EMD and ICA Approach". Advanced Materials Research 546-547 (julio de 2012): 548–52. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.548.
Texto completoRao, Dr B. Rama. "EMD AND WAVELET-BASED ECG SIGNAL DENOISING AND QRS COMPLEX DETECTION". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 04 (11 de abril de 2024): 1–5. http://dx.doi.org/10.55041/ijsrem30586.
Texto completoSarangi, Animesh, Bal Gopal Mishra y Satyabhama Dash. "Singular Spectrum Analysis Based EMG Artifact Removal from ECG Signal". YMER Digital 21, n.º 08 (11 de agosto de 2022): 400–407. http://dx.doi.org/10.37896/ymer21.08/36.
Texto completoBelle, Ashwin, Rosalyn Hobson Hargraves y Kayvan Najarian. "An Automated Optimal Engagement and Attention Detection System Using Electrocardiogram". Computational and Mathematical Methods in Medicine 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/528781.
Texto completoLiu, Shing-Hong, Cheng-Hsiung Hsieh, Wenxi Chen y Tan-Hsu Tan. "ECG Noise Cancellation Based on Grey Spectral Noise Estimation". Sensors 19, n.º 4 (15 de febrero de 2019): 798. http://dx.doi.org/10.3390/s19040798.
Texto completoAhmad Khorsheed, Eman. "Detection of Abnormal electrocardiograms Based on Various Feature Extraction methods". Academic Journal of Nawroz University 12, n.º 3 (2 de julio de 2023): 111–19. http://dx.doi.org/10.25007/ajnu.v12n3a1818.
Texto completoLiu, Qingze, Aiping Liu, Xu Zhang, Xiang Chen, Ruobing Qian y Xun Chen. "Removal of EMG Artifacts from Multichannel EEG Signals Using Combined Singular Spectrum Analysis and Canonical Correlation Analysis". Journal of Healthcare Engineering 2019 (31 de diciembre de 2019): 1–13. http://dx.doi.org/10.1155/2019/4159676.
Texto completoPradhan, Bikash K., Maciej Jarzębski, Anna Gramza-Michałowska y Kunal Pal. "Automated Detection of Caffeinated Coffee-Induced Short-Term Effects on ECG Signals Using EMD, DWT, and WPD". Nutrients 14, n.º 4 (19 de febrero de 2022): 885. http://dx.doi.org/10.3390/nu14040885.
Texto completoGuaragnella, Cataldo, Maria Rizzi y Agostino Giorgio. "Marginal Component Analysis of ECG Signals for Beat-to-Beat Detection of Ventricular Late Potentials". Electronics 8, n.º 9 (6 de septiembre de 2019): 1000. http://dx.doi.org/10.3390/electronics8091000.
Texto completoZiani, Said, Mohamed El Ghmary y Achmad Rizal. "Integration of Time-Frequency Analysis and Regularization Technique for Improved Identification of Fetal Electrocardiogram". International Journal of Online and Biomedical Engineering (iJOE) 19, n.º 17 (15 de diciembre de 2023): 170–77. http://dx.doi.org/10.3991/ijoe.v19i17.42141.
Texto completoBanerjee, Soumyendu y Girish Kumar Singh. "Agent-based beat-by-beat compression of 12-lead electrocardiogram signal using adaptive Fourier decomposition". Biomedical Signal Processing and Control 75 (mayo de 2022): 103628. http://dx.doi.org/10.1016/j.bspc.2022.103628.
Texto completoManikandan, Suchetha y Kumaravel Natesan. "A Novel Approach for the Reduction of 50Hz Noise in Electrocardiogram Using Variational Mode Decomposition". Current Signal Transduction Therapy 12, n.º 1 (8 de mayo de 2017): 39–48. http://dx.doi.org/10.2174/1574362412666170307092351.
Texto completoSaini, Indu, Dilbag Singh y Arun Khosla. "Electrocardiogram beat classification using empirical mode decomposition and multiclass directed acyclic graph support vector machine". Computers & Electrical Engineering 40, n.º 5 (julio de 2014): 1774–87. http://dx.doi.org/10.1016/j.compeleceng.2014.04.004.
Texto completoMandala, Satria, Annisa Rizki Pratiwi Wibowo, Adiwijaya, Suyanto, Mohd Soperi Mohd Zahid y Ardian Rizal. "The Effects of Daubechies Wavelet Basis Function (DWBF) and Decomposition Level on the Performance of Artificial Intelligence-Based Atrial Fibrillation (AF) Detection Based on Electrocardiogram (ECG) Signals". Applied Sciences 13, n.º 5 (27 de febrero de 2023): 3036. http://dx.doi.org/10.3390/app13053036.
Texto completoPATIL, G. M., K. SUBBA RAO, U. C. NIRANJAN y K. SATYANARAYAN. "EVALUATION OF QRS COMPLEX BASED ON DWT COEFFICIENTS ANALYSIS USING DAUBECHIES WAVELETS FOR DETECTION OF MYOCARDIAL ISCHAEMIA". Journal of Mechanics in Medicine and Biology 10, n.º 02 (junio de 2010): 273–90. http://dx.doi.org/10.1142/s0219519410003356.
Texto completoOh, Seungrok y Young-Seok Choi. "Detection of Ventricular Fibrillation Using Ensemble Empirical Mode Decomposition of ECG Signals". Electronics 13, n.º 4 (8 de febrero de 2024): 695. http://dx.doi.org/10.3390/electronics13040695.
Texto completoSchanze, Thomas. "On the use of singular value decomposition for QRS detection and ECG denoising". Current Directions in Biomedical Engineering 8, n.º 2 (1 de agosto de 2022): 77–80. http://dx.doi.org/10.1515/cdbme-2022-1021.
Texto completoAqil, Mounaim, Atman Jbari y Abdennasser Bourouhou. "ECG Signal Denoising by Discrete Wavelet Transform". International Journal of Online Engineering (iJOE) 13, n.º 09 (22 de septiembre de 2017): 51. http://dx.doi.org/10.3991/ijoe.v13i09.7159.
Texto completoDosko, S. I., S. A. Sheptunov, V. M. Utencov, A. Yu Spasenov y K. V. Kucherov. "Modern modal analysis methods of biomedical signals for biomedical-engineering data-measuring systems". Quality. Innovation. Education, n.º 4 (2020): 40–52. http://dx.doi.org/10.31145/1999-513x-2020-4-40-52.
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