Artículos de revistas sobre el tema "ECG DE-NOISING"
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Zhang, Sheng, Jie Gao, Jie Yang y Shun Yu. "A Mallat Based Wavelet ECG De-Noising Algorithm". Applied Mechanics and Materials 263-266 (diciembre de 2012): 2267–70. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2267.
Texto completoLakshmi, P. Sri y V. Lokesh Raju. "ECG De-noising using Hybrid Linearization Method". TELKOMNIKA Indonesian Journal of Electrical Engineering 15, n.º 3 (1 de septiembre de 2015): 504. http://dx.doi.org/10.11591/tijee.v15i3.1568.
Texto completoKrishna, Dr Battula Tirumala y Putti Siva Kameswaari. "ECG Denoising Methodology using Intrinsic Time Scale Decomposition and Adaptive Switching Mean Filter". Indian Journal of Signal Processing 1, n.º 2 (10 de mayo de 2021): 7–12. http://dx.doi.org/10.35940/ijsp.b1005.051221.
Texto completoKrishna, Dr Battula Tirumala y Putti Siva Kameswaari. "ECG Denoising Methodology using Intrinsic Time Scale Decomposition and Adaptive Switching Mean Filter". Indian Journal of Signal Processing 1, n.º 2 (10 de mayo de 2021): 7–12. http://dx.doi.org/10.54105/ijsp.b1005.051221.
Texto completoShi, Lei, Yu Juan Si, Liu Qi Lang, Cheng Yao y Li Li Liu. "A De-Noising Algorithm for ECG Signals Based on FIR Filter and Wavelet Transform". Advanced Materials Research 271-273 (julio de 2011): 247–52. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.247.
Texto completoAhmed, Asia Sh, Khalida Sh Rijab y Salwa A. Alagha. "A Study of Chosen an Optimum Type of Wavelet Filter for De-Noising an ECG signal". International Journal of Current Engineering and Technology 10, n.º 05 (1 de octubre de 2020): 749–56. http://dx.doi.org/10.14741/ijcet/v.10.5.9.
Texto completoZhang, Dengyong, Shanshan Wang, Feng Li, Jin Wang, Arun Kumar Sangaiah, Victor S. Sheng y Xiangling Ding. "An ECG Signal De-Noising Approach Based on Wavelet Energy and Sub-Band Smoothing Filter". Applied Sciences 9, n.º 22 (18 de noviembre de 2019): 4968. http://dx.doi.org/10.3390/app9224968.
Texto completoH.D., Praveena,, Sudha, K., Geetha, P. y Venkatanaresh, M. "Comprehensive Time-Frequency Analysis of Noisy ECG Signals – A Review". CARDIOMETRY, n.º 24 (30 de noviembre de 2022): 271–76. http://dx.doi.org/10.18137/cardiometry.2022.24.271275.
Texto completoHuang, Jian-Jia, Chung-Yu Chang, Jen-Kuang Lee y Hen-Wai Tsao. "RESOLVING SINGLE-LEAD ECG FROM EMG INTERFERENCE IN HOLTER RECORDING BASED ON EEMD". Biomedical Engineering: Applications, Basis and Communications 26, n.º 01 (febrero de 2014): 1450008. http://dx.doi.org/10.4015/s1016237214500082.
Texto completoXiong, Hui, Chunhou Zheng, Jinzhen Liu y Limei Song. "ECG Signal In-Band Noise De-Noising Base on EMD". Journal of Circuits, Systems and Computers 28, n.º 01 (15 de octubre de 2018): 1950017. http://dx.doi.org/10.1142/s0218126619500178.
Texto completoLAXMI, VANDANA, SWATHI J. y SASTRY D.V.L.N. "DE-NOISING OF ECG SIGNAL USING HYBRID ADAPTIVE FILTERS". i-manager's Journal on Digital Signal Processing 5, n.º 1 (2017): 1. http://dx.doi.org/10.26634/jdp.5.1.13525.
Texto completoV, Yogesh. "Investigation of Effective De Noising Techniques for ECG Signal". International Journal on Recent and Innovation Trends in Computing and Communication 3, n.º 4 (2015): 2261–68. http://dx.doi.org/10.17762/ijritcc2321-8169.1504108.
Texto completoGautam, Alka, Hoon-Jae Lee y Wan-Young Chung. "ECG Signal De-noising with Asynchronous Averaging and Filtering Algorithm". International Journal of Healthcare Information Systems and Informatics 5, n.º 2 (abril de 2010): 30–36. http://dx.doi.org/10.4018/jhisi.2010040104.
Texto completoPahadiya, Pallavi, Shivani Saxena y Ritu Vijay. "Optimisation of thresholding techniques in de-noising of ECG signals". International Journal of Intelligent Engineering Informatics 9, n.º 5 (2021): 487. http://dx.doi.org/10.1504/ijiei.2021.10044780.
Texto completoSaxena, Shivani, Ritu Vijay y Pallavi Pahadiya. "Optimisation of thresholding techniques in de-noising of ECG signals". International Journal of Intelligent Engineering Informatics 9, n.º 5 (2021): 487. http://dx.doi.org/10.1504/ijiei.2021.120695.
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 completoM.Hamad alhussainy, Aqeel y Ammar D. Jasim. "ECG signal de-noising based on deep learning auto encoder and discrete wavelet transform". International Journal of Engineering & Technology 9, n.º 2 (18 de abril de 2020): 415. http://dx.doi.org/10.14419/ijet.v9i2.30499.
Texto completoJaenul, Ariep, Shahad Alyousif, Ali Amer Ahmed Alrawi y Samer K. Salih. "Robust Approach of De-noising ECG Signal Using Multi-Resolution Wavelet Transform". International Journal of Engineering & Technology 7, n.º 4.11 (2 de octubre de 2018): 5. http://dx.doi.org/10.14419/ijet.v7i4.11.20678.
Texto completoXiao, Fang Yu, Wei Tang y Na Fu. "Wavelet Based De-Noising Using Self-Optimizing Method for ECG Signal". Applied Mechanics and Materials 416-417 (septiembre de 2013): 1214–19. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.1214.
Texto completoZHANG, ZHONG, HIROSHI TODA, HISANAGA FUJIWARA y FUJI REN. "TRANSLATION INVARIANT RI-SPLINE WAVELET AND ITS APPLICATION ON DE-NOISING". International Journal of Information Technology & Decision Making 05, n.º 02 (junio de 2006): 353–78. http://dx.doi.org/10.1142/s0219622006001976.
Texto completoKaviri, Vahid Makhdoomi, Masoud Sabaghi y Saeid Marjani. "De-Noising of ECG Signals by Design of an Optimized Wavelet". Circuits and Systems 07, n.º 11 (2016): 3746–55. http://dx.doi.org/10.4236/cs.2016.711314.
Texto completoHassan, Raaed Faleh y Sally Abdulmunem Shaker. "ECG Signal De-Noising and Feature Extraction using Discrete Wavelet Transform". International Journal of Engineering Trends and Technology 63, n.º 1 (25 de septiembre de 2018): 32–39. http://dx.doi.org/10.14445/22315381/ijett-v63p206.
Texto completoJoshi, Vivek, A. R. Verma y Y. Singh. "De-noising of ECG Signal Using Adaptive Filter Based on MPSO". Procedia Computer Science 57 (2015): 395–402. http://dx.doi.org/10.1016/j.procs.2015.07.354.
Texto completoT, Vijayakumar, Vinothkanna R y Duraipandian M. "Fusion based Feature Extraction Analysis of ECG Signal Interpretation - A Systematic Approach". March 2021 3, n.º 1 (11 de marzo de 2021): 1–16. http://dx.doi.org/10.36548/jaicn.2021.1.001.
Texto completoKumar, M. Suresh y S. Nirmala Devi. "Sparse Code Shrinkage Based ECG De-Noising in Empirical Mode Decomposition Domain". Journal of Medical Imaging and Health Informatics 5, n.º 5 (1 de septiembre de 2015): 1053–58. http://dx.doi.org/10.1166/jmihi.2015.1489.
Texto completoJain, Shweta, Varun Bajaj y Anil Kumar. "Effective de-noising of ECG by optimised adaptive thresholding on noisy modes". IET Science, Measurement & Technology 12, n.º 5 (1 de agosto de 2018): 640–44. http://dx.doi.org/10.1049/iet-smt.2017.0203.
Texto completoKuzilek, Jakub, Vaclav Kremen, Filip Soucek y Lenka Lhotska. "Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising". PLoS ONE 9, n.º 6 (6 de junio de 2014): e98450. http://dx.doi.org/10.1371/journal.pone.0098450.
Texto completoJagannaveen, V., K. Murali Krishna y K. Raja Rajeswari. "Noise reduction in ECG signals for bio-telemetry". International Journal of Electrical and Computer Engineering (IJECE) 9, n.º 2 (1 de abril de 2019): 1028. http://dx.doi.org/10.11591/ijece.v9i2.pp1028-1035.
Texto completoNaveen, V. Jagan, K. Murali Krishna y K. Raja Rajeswari. "Noise reduction in ECG Signals for Bio-telemetryb". International Journal of Electrical and Computer Engineering (IJECE) 9, n.º 1 (1 de febrero de 2019): 505. http://dx.doi.org/10.11591/ijece.v9i1.pp505-511.
Texto completoAra, Iffat, Md Najmul Hossain y S. M. Yahea Mahbub. "Baseline Drift Removal and De-Noising of the ECG Signal using Wavelet Transform". International Journal of Computer Applications 95, n.º 16 (18 de junio de 2014): 15–17. http://dx.doi.org/10.5120/16678-6783.
Texto completoShi, Guo Jie, Gang Zheng, Min Dai y Shan Ling Mou. "Study of Key Techniques on Electrocardiogram Printouts Digitizing". Key Engineering Materials 467-469 (febrero de 2011): 1979–84. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1979.
Texto completoXu, Yang, Mingzhang Luo, Tao Li y Gangbing Song. "ECG Signal De-noising and Baseline Wander Correction Based on CEEMDAN and Wavelet Threshold". Sensors 17, n.º 12 (28 de noviembre de 2017): 2754. http://dx.doi.org/10.3390/s17122754.
Texto completoBhogeshwar, Sande Seema, M. K. Soni y Dipali Bansal. "Study of structural complexity of optimal order digital filters for de-noising ECG signal". International Journal of Biomedical Engineering and Technology 29, n.º 2 (2019): 101. http://dx.doi.org/10.1504/ijbet.2019.097301.
Texto completoBansal, Dipali, Sande Seema Bhogeshwar y M. K. Soni. "Study of structural complexity of optimal order digital filters for de-noising ECG signal". International Journal of Biomedical Engineering and Technology 29, n.º 2 (2019): 101. http://dx.doi.org/10.1504/ijbet.2019.10018401.
Texto completoSahoo, Santanu, Prativa Biswal, Tejaswini Das y Sukanta Sabut. "De-noising of ECG Signal and QRS Detection Using Hilbert Transform and Adaptive Thresholding". Procedia Technology 25 (2016): 68–75. http://dx.doi.org/10.1016/j.protcy.2016.08.082.
Texto completoBarrios-Muriel, Jorge, Francisco Romero, Francisco Javier Alonso y Kostas Gianikellis. "A simple SSA-based de-noising technique to remove ECG interference in EMG signals". Biomedical Signal Processing and Control 30 (septiembre de 2016): 117–26. http://dx.doi.org/10.1016/j.bspc.2016.06.001.
Texto completoAhmed, Y. K. y A. R. Zubair. "Performance Evaluation of Wavelet De-Noising Schemes for Suppression of Power Line Noise in Electrocardiogram Signals". Nigerian Journal of Technological Development 18, n.º 2 (13 de agosto de 2021): 144–51. http://dx.doi.org/10.4314/njtd.v18i2.9.
Texto completoAlickovic, Emina y Abdulhamit Subasi. "Effect of Multiscale PCA De-noising in ECG Beat Classification for Diagnosis of Cardiovascular Diseases". Circuits, Systems, and Signal Processing 34, n.º 2 (14 de agosto de 2014): 513–33. http://dx.doi.org/10.1007/s00034-014-9864-8.
Texto completoJaware, Tushar H. "Performance Investigations of Electrocardiogram Signal Using Distributed Arithmetic Mixed Signal Filter". International Journal of Advanced Research in Computer Science and Software Engineering 7, n.º 7 (29 de julio de 2017): 64. http://dx.doi.org/10.23956/ijarcsse.v7i7.99.
Texto completoLakhera, Nidhi, A. R Verma, Bhumika Gupta y Surjeet Singh Patel. "A Novel Approach of ECG Signal Enhancement Using Adaptive Filter Based on Whale Optimization Algorithm". Biomedical and Pharmacology Journal 14, n.º 4 (30 de diciembre de 2021): 1895–903. http://dx.doi.org/10.13005/bpj/2288.
Texto completoShahbakhti, Mohammad, Hamed Bagheri, Babak Shekarchi, Somayeh Mohammadi y Mohsen Naji. "A New Strategy for ECG Baseline Wander Elimination Using Empirical Mode Decomposition". Fluctuation and Noise Letters 15, n.º 02 (junio de 2016): 1650017. http://dx.doi.org/10.1142/s0219477516500176.
Texto completoSumalatha, M., P. V. Naganjaneyulu y K. Satya Prasad. "Low power and low area VLSI implementation of vedic design FIR filter for ECG signal de-noising". Microprocessors and Microsystems 71 (noviembre de 2019): 102883. http://dx.doi.org/10.1016/j.micpro.2019.102883.
Texto completoAn-dong, Wang, Liu Lan y Wei Qin. "An Adaptive Morphologic Filter Applied to ECG De-noising and Extraction of R Peak at Real-time". AASRI Procedia 1 (2012): 474–79. http://dx.doi.org/10.1016/j.aasri.2012.06.074.
Texto completoAllali, Abdenour, Arres Bartil, Lahcene Ziet y Amar Hebibi. "Revealing and evaluating the influence of filters position in cascaded filter: application on the ECG de-noising performance disparity". Indonesian Journal of Electrical Engineering and Computer Science 21, n.º 2 (1 de febrero de 2021): 829. http://dx.doi.org/10.11591/ijeecs.v21.i2.pp829-838.
Texto completoKalaivani, V., R. Lakshmi Devi y V. Anusuyadevi. "Phonocardiographic Signal and Electrocardiographic Signal Analysis for the Detection of Cardiovascular Diseases". Biosciences, Biotechnology Research Asia 15, n.º 1 (25 de marzo de 2018): 79–89. http://dx.doi.org/10.13005/bbra/2610.
Texto completoPadmavathy, T. V., S. Saravanan y M. N. Vimalkumar. "Partial product addition in Vedic design-ripple carry adder design fir filter architecture for electro cardiogram (ECG) signal de-noising application". Microprocessors and Microsystems 76 (julio de 2020): 103113. http://dx.doi.org/10.1016/j.micpro.2020.103113.
Texto completoMohsen Alkanfery, Hadi y Ibrahim Mustafa Mehedi. "Fractional Order Butterworth Filter for Fetal Electrocardiographic Signal Feature Extraction". Signal & Image Processing : An International Journal 12, n.º 05 (31 de octubre de 2021): 45–56. http://dx.doi.org/10.5121/sipij.2021.12503.
Texto completoWu, Yin Chao, Seong Jin Noh y Suyun Ham. "Identification of Inundation Using Low-Resolution Images from Traffic-Monitoring Cameras: Bayes Shrink and Bayesian Segmentation". Water 12, n.º 6 (17 de junio de 2020): 1725. http://dx.doi.org/10.3390/w12061725.
Texto completoCui, Zhi y Xian-pu Cui. "Wireless Multimedia Sensor Network Image De-Noising via a Detail-Preserving Sparse Model". Cybernetics and Information Technologies 15, n.º 6 (1 de diciembre de 2015): 57–69. http://dx.doi.org/10.1515/cait-2015-0067.
Texto completoYang, Zhenjie, Chao Sun, Junwei Ye, Congying Gan, Yue Li, Lingyu Wang y Yujun Chen. "Spatio-Temporal Heterogeneity of Ecological Quality in Hangzhou Greater Bay Area (HGBA) of China and Response to Land Use and Cover Change". Remote Sensing 14, n.º 21 (7 de noviembre de 2022): 5613. http://dx.doi.org/10.3390/rs14215613.
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