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Статті в журналах з теми "ECG DE-NOISING"
Zhang, Sheng, Jie Gao, Jie Yang, and Shun Yu. "A Mallat Based Wavelet ECG De-Noising Algorithm." Applied Mechanics and Materials 263-266 (December 2012): 2267–70. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2267.
Повний текст джерелаLakshmi, P. Sri, and V. Lokesh Raju. "ECG De-noising using Hybrid Linearization Method." TELKOMNIKA Indonesian Journal of Electrical Engineering 15, no. 3 (September 1, 2015): 504. http://dx.doi.org/10.11591/tijee.v15i3.1568.
Повний текст джерелаKrishna, Dr Battula Tirumala, and Putti Siva Kameswaari. "ECG Denoising Methodology using Intrinsic Time Scale Decomposition and Adaptive Switching Mean Filter." Indian Journal of Signal Processing 1, no. 2 (May 10, 2021): 7–12. http://dx.doi.org/10.35940/ijsp.b1005.051221.
Повний текст джерелаKrishna, Dr Battula Tirumala, and Putti Siva Kameswaari. "ECG Denoising Methodology using Intrinsic Time Scale Decomposition and Adaptive Switching Mean Filter." Indian Journal of Signal Processing 1, no. 2 (May 10, 2021): 7–12. http://dx.doi.org/10.54105/ijsp.b1005.051221.
Повний текст джерелаShi, Lei, Yu Juan Si, Liu Qi Lang, Cheng Yao, and Li Li Liu. "A De-Noising Algorithm for ECG Signals Based on FIR Filter and Wavelet Transform." Advanced Materials Research 271-273 (July 2011): 247–52. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.247.
Повний текст джерелаAhmed, Asia Sh, Khalida Sh Rijab, and 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, no. 05 (October 1, 2020): 749–56. http://dx.doi.org/10.14741/ijcet/v.10.5.9.
Повний текст джерелаZhang, Dengyong, Shanshan Wang, Feng Li, Jin Wang, Arun Kumar Sangaiah, Victor S. Sheng, and Xiangling Ding. "An ECG Signal De-Noising Approach Based on Wavelet Energy and Sub-Band Smoothing Filter." Applied Sciences 9, no. 22 (November 18, 2019): 4968. http://dx.doi.org/10.3390/app9224968.
Повний текст джерелаH.D., Praveena,, Sudha, K., Geetha, P., and Venkatanaresh, M. "Comprehensive Time-Frequency Analysis of Noisy ECG Signals – A Review." CARDIOMETRY, no. 24 (November 30, 2022): 271–76. http://dx.doi.org/10.18137/cardiometry.2022.24.271275.
Повний текст джерелаHuang, Jian-Jia, Chung-Yu Chang, Jen-Kuang Lee, and Hen-Wai Tsao. "RESOLVING SINGLE-LEAD ECG FROM EMG INTERFERENCE IN HOLTER RECORDING BASED ON EEMD." Biomedical Engineering: Applications, Basis and Communications 26, no. 01 (February 2014): 1450008. http://dx.doi.org/10.4015/s1016237214500082.
Повний текст джерелаXiong, Hui, Chunhou Zheng, Jinzhen Liu, and Limei Song. "ECG Signal In-Band Noise De-Noising Base on EMD." Journal of Circuits, Systems and Computers 28, no. 01 (October 15, 2018): 1950017. http://dx.doi.org/10.1142/s0218126619500178.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаWang, G., Simon J. Shepherd, Clive B. Beggs, N. Rao, and 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.
Повний текст джерелаThe 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.
Частини книг з теми "ECG DE-NOISING"
Germán-Salló, Zoltán, Márta Germán-Salló, and Horaţiu-Ştefan Grif. "Empirical Mode Decomposition in ECG Signal De-noising." In 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.
Повний текст джерелаLu, Dongxin, Qi Teng, and Da Chen. "The Analysis of Wavelet De-Noising on ECG." In Lecture Notes in Electrical Engineering, 3197–203. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7618-0_411.
Повний текст джерелаSaxena, Shivani, and Ritu Vijay. "Optimal Selection of Wavelet Transform for De-noising of ECG Signal on the Basis of Statistical Parameters." In Advances in Intelligent Systems and Computing, 731–39. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2475-2_67.
Повний текст джерелаGautam, Alka, Hoon-Jae Lee, and Wan-Young Chung. "ECG Signal De-Noising with Asynchronous Averaging and Filtering Algorithm." In 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.
Повний текст джерелаNayak, Seema, Manoj Nayak, and Pankaj Pathak. "A Review on FPGA-Based Digital Filters for De-Noising ECG Signal." In Sensor Network Methodologies for Smart Applications, 1–24. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-4381-8.ch001.
Повний текст джерелаZhang, Shaobai, Lihong Jiao, and Ningning Zhou. "Investigation of a Method for EEG Signal De-Noising Based on the DIVA Model." In Fuzzy Systems and Data Mining VI. IOS Press, 2020. http://dx.doi.org/10.3233/faia200686.
Повний текст джерелаТези доповідей конференцій з теми "ECG DE-NOISING"
Sawant, Chitrangi, and Harishchandra T. Patii. "Wavelet based ECG signal de-noising." In 2014 International Conference on Networks & Soft Computing (ICNSC). IEEE, 2014. http://dx.doi.org/10.1109/cnsc.2014.6906684.
Повний текст джерелаTang, Jingtian, Qing Zou, Yan Tang, Bin Liu, and Xiao-kai Zhang. "Hilbert-Huang Transform for ECG De-Noising." In 2007 1st International Conference on Bioinformatics and Biomedical Engineering. IEEE, 2007. http://dx.doi.org/10.1109/icbbe.2007.173.
Повний текст джерелаAiboud, Youssef, Jamal El Mhamdi, Abdelilah Jilbab, and Hamza Sbaa. "Review of ECG signal de-noising techniques." In 2015 Third World Conference on Complex Systems (WCCS). IEEE, 2015. http://dx.doi.org/10.1109/icocs.2015.7483313.
Повний текст джерелаTang, Guodong, and Aina Qin. "ECG De-noising Based on Empirical Mode Decomposition." In 2008 9th International Conference for Young Computer Scientists (ICYCS). IEEE, 2008. http://dx.doi.org/10.1109/icycs.2008.178.
Повний текст джерелаLi Su and Guoliang Zhao. "De-Noising of ECG Signal Using Translation- Invariant Wavelet De-Noising Method with Improved Thresholding." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1615845.
Повний текст джерелаZou, Shenshen, and Xiaohong Zhang. "Finger ECG De-noising Based on GA-wavelet Shrinkage." In 2016 International Conference on Electrical, Mechanical and Industrial Engineering. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/icemie-16.2016.1.
Повний текст джерелаGautam, Alka, Young-Dong Lee, and Wan-Young Chung. "ECG Signal De-noising with Signal Averaging and Filtering Algorithm." In 2008 Third International Conference on Convergence and Hybrid Information Technology (ICCIT). IEEE, 2008. http://dx.doi.org/10.1109/iccit.2008.393.
Повний текст джерелаMakwana, Gaurav, and Lalita Gupta. "De-noising of Electrocardiogram (ECG) with Adaptive Filter Using MATLAB." In 2015 Fifth International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2015. http://dx.doi.org/10.1109/csnt.2015.126.
Повний текст джерелаKuzilek, Jakub, Vaclav Kremen, and Lenka Lhotska. "Comparison of JADE and Canonical Correlation Analysis for ECG de-noising." In 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.
Повний текст джерелаLuo, Yu, Fengjuan Zhang, Zedong Nie, and Lei Wang. "ECG signal de-noising on node based a dedicated FFT circuit." In 2012 IEEE 10th International New Circuits and Systems Conference (NEWCAS). IEEE, 2012. http://dx.doi.org/10.1109/newcas.2012.6329056.
Повний текст джерела