Literatura académica sobre el tema "ECG DE-NOISING"
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Artículos de revistas sobre el tema "ECG DE-NOISING"
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 completoTesis sobre el tema "ECG DE-NOISING"
SNEKHA. "GENETIC ALGORITHM BASED ECG SIGNAL DE-NOISING USING EEMD AND FUZZY THRESHOLDING". Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15346.
Texto completoWang, G., Simon J. Shepherd, Clive B. Beggs, N. Rao y Y. Zhang. "The use of kurtosis de-noising for EEG analysis of patients suffering from Alzheimer's disease". 2015. http://hdl.handle.net/10454/9242.
Texto completoThe use of electroencephalograms (EEGs) to diagnose and analyses Alzheimer's disease (AD) has received much attention in recent years. The sample entropy (SE) has been widely applied to the diagnosis of AD. In our study, nine EEGs from 21 scalp electrodes in 3 AD patients and 9 EEGs from 3 age-matched controls are recorded. The calculations show that the kurtoses of the AD patients' EEG are positive and much higher than that of the controls. This finding encourages us to introduce a kurtosis-based de-noising method. The 21-electrode EEG is first decomposed using independent component analysis (ICA), and second sort them using their kurtoses in ascending order. Finally, the subspace of EEG signal using back projection of only the last five components is reconstructed. SE will be calculated after the above de-noising preprocess. The classifications show that this method can significantly improve the accuracy of SE-based diagnosis. The kurtosis analysis of EEG may contribute to increasing the understanding of brain dysfunction in AD in a statistical way.
Capítulos de libros sobre el tema "ECG DE-NOISING"
Germán-Salló, Zoltán, Márta Germán-Salló y Horaţiu-Ştefan Grif. "Empirical Mode Decomposition in ECG Signal De-noising". En 6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania, 151–55. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6207-1_24.
Texto completoLu, Dongxin, Qi Teng y Da Chen. "The Analysis of Wavelet De-Noising on ECG". En Lecture Notes in Electrical Engineering, 3197–203. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7618-0_411.
Texto completoSaxena, Shivani y Ritu Vijay. "Optimal Selection of Wavelet Transform for De-noising of ECG Signal on the Basis of Statistical Parameters". En Advances in Intelligent Systems and Computing, 731–39. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2475-2_67.
Texto completoGautam, Alka, Hoon-Jae Lee y Wan-Young Chung. "ECG Signal De-Noising with Asynchronous Averaging and Filtering Algorithm". En Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs, 199–205. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1755-1.ch014.
Texto completoNayak, Seema, Manoj Nayak y Pankaj Pathak. "A Review on FPGA-Based Digital Filters for De-Noising ECG Signal". En Sensor Network Methodologies for Smart Applications, 1–24. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-4381-8.ch001.
Texto completoZhang, Shaobai, Lihong Jiao y Ningning Zhou. "Investigation of a Method for EEG Signal De-Noising Based on the DIVA Model". En Fuzzy Systems and Data Mining VI. IOS Press, 2020. http://dx.doi.org/10.3233/faia200686.
Texto completoActas de conferencias sobre el tema "ECG DE-NOISING"
Sawant, Chitrangi y Harishchandra T. Patii. "Wavelet based ECG signal de-noising". En 2014 International Conference on Networks & Soft Computing (ICNSC). IEEE, 2014. http://dx.doi.org/10.1109/cnsc.2014.6906684.
Texto completoTang, Jingtian, Qing Zou, Yan Tang, Bin Liu y Xiao-kai Zhang. "Hilbert-Huang Transform for ECG De-Noising". En 2007 1st International Conference on Bioinformatics and Biomedical Engineering. IEEE, 2007. http://dx.doi.org/10.1109/icbbe.2007.173.
Texto completoAiboud, Youssef, Jamal El Mhamdi, Abdelilah Jilbab y Hamza Sbaa. "Review of ECG signal de-noising techniques". En 2015 Third World Conference on Complex Systems (WCCS). IEEE, 2015. http://dx.doi.org/10.1109/icocs.2015.7483313.
Texto completoTang, Guodong y Aina Qin. "ECG De-noising Based on Empirical Mode Decomposition". En 2008 9th International Conference for Young Computer Scientists (ICYCS). IEEE, 2008. http://dx.doi.org/10.1109/icycs.2008.178.
Texto completoLi Su y Guoliang Zhao. "De-Noising of ECG Signal Using Translation- Invariant Wavelet De-Noising Method with Improved Thresholding". En 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1615845.
Texto completoZou, Shenshen y Xiaohong Zhang. "Finger ECG De-noising Based on GA-wavelet Shrinkage". En 2016 International Conference on Electrical, Mechanical and Industrial Engineering. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/icemie-16.2016.1.
Texto completoGautam, Alka, Young-Dong Lee y Wan-Young Chung. "ECG Signal De-noising with Signal Averaging and Filtering Algorithm". En 2008 Third International Conference on Convergence and Hybrid Information Technology (ICCIT). IEEE, 2008. http://dx.doi.org/10.1109/iccit.2008.393.
Texto completoMakwana, Gaurav y Lalita Gupta. "De-noising of Electrocardiogram (ECG) with Adaptive Filter Using MATLAB". En 2015 Fifth International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2015. http://dx.doi.org/10.1109/csnt.2015.126.
Texto completoKuzilek, Jakub, Vaclav Kremen y Lenka Lhotska. "Comparison of JADE and Canonical Correlation Analysis for ECG de-noising". En 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944465.
Texto completoLuo, Yu, Fengjuan Zhang, Zedong Nie y Lei Wang. "ECG signal de-noising on node based a dedicated FFT circuit". En 2012 IEEE 10th International New Circuits and Systems Conference (NEWCAS). IEEE, 2012. http://dx.doi.org/10.1109/newcas.2012.6329056.
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