A new method of lung sounds filtering using modulated least mean square

Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
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"A new method of lung sounds filtering using modulated least mean square—Adaptive noise cancellation"
written by Noman Qaid Al-Naggar,
published by Journal of Biomedical Science and Engineering, Vol.6 No.9, 2013

has been cited by the following article(s):

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[1]	HEART SOUND NOISE SEPARATION FROM LUNG SOUND BASED ON ENHANCED VARIATIONAL MODE DECOMPOSITION FOR DIAGNOSING PULMONARY …
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[2]	Elimination of heart sound from respiratory sound using adaptive variational mode decomposition for pulmonary diseases diagnosis
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[3]	Lung Sounds Ventilation Cycle Segmentation and Classify Healthy, Asthma and COPD
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[4]	Source separation for single channel thoracic cardio-respiratory sounds applying Non-negative Matrix Factorization (NMF) using a focused strategy on heart sound …
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[6]	Reference free auscultation quality metric and its trends
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[7]	Empirical Mode Decomposition, S-method and Steepest Gradient-based Reconstruction Algorithm for Denoising Lung Sound
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[8]	EFFICIENT DENOISING, ALIGMENT AND SEGMENTATION ALGORITHM FOR MULTIVARIATE HEART SOUND DIAGNOSTIC
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[9]	Performance Metrics Analysis of Adaptive threshold Empirical Mode Decomposition Denoising method for suppression of noise in Lung sounds
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[10]	Design and comparative performance of a robust lung auscultation system for noisy clinical settings
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[11]	An objective measure of signal quality for pediatric lung auscultations
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[12]	IMPROVING THE QUALITY, ANALYSIS AND INTERPRETATION OF BODY SOUNDS ACQUIRED IN CHALLENGING CLINICAL SETTINGS
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[13]	Performance of Adaptive Noise Cancellation with Normalized Last Mean Square based on the Signal-to-noise Ratio of Lung and Heart Sound Separation
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[14]	Performance of Adaptive Noise Cancellation with Normalized Last-Mean-Square Based on the Signal-to-Noise Ratio of Lung and Heart Sound Separation
	Journal of Healthcare Engineering, 2018

[15]	Computerized lung sound screening for pediatric auscultation in noisy field environments
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[16]	LUNG SOUND DENOISING STETHOSCOPE, ALGORITHM, AND RELATED METHODS
	2016/01/21/

[17]	Design Two-channel Instrument to Record Lung and Heart Sounds at the Same Time, and Separate Them Using ANC-NLMS Algorithm
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[18]	Adaptive noise suppression of pediatric lung auscultations with real applications to noisy clinical settings in developing countries
	IEEE Transactions on Biomedical Engineering, 2015

[19]	Signal Domain in Respiratory Sound Analysis: Methods, Application and Future Development
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[20]	Design of a Two-channel Instrument to Record Lung and Heart Sounds Simultaneously and Separate Them Using ANC–NLMS Algorithm
	International Journal of Advanced Research in Electrical,Electronics and Instrumentation Engineering, 2015

[21]	Signal Domain in Respiratory Sound Analysis: Methods, Application and Future Development.
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[22]	Smartphone Noise Supression
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[23]	REAL TIME HEART AND LUNG SOUND SEPARATION USING ADAPTIVE LINE ENHANCER WITH NLMS.
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[24]	A software library for computerized clinical health decision support system focusing on acoustic respiratory data acquisition and analysis

[1]	HEART SOUND NOISE SEPARATION FROM LUNG SOUND BASED ON ENHANCED VARIATIONAL MODE DECOMPOSITION FOR DIAGNOSING PULMONARY DISEASES Biomedical Engineering: Applications, Basis and Communications, 2024 DOI:10.4015/S1016237223500357

[2]	Reference free auscultation quality metric and its trends Biomedical Signal Processing and Control, 2023 DOI:10.1016/j.bspc.2023.104852

[3]	Reference free auscultation quality metric and its trends Biomedical Signal Processing and Control, 2023 DOI:10.1016/j.bspc.2023.104852

[4]	Reference free auscultation quality metric and its trends Biomedical Signal Processing and Control, 2023 DOI:10.1016/j.bspc.2023.104852

[5]	Empirical Mode Decomposition, S-method and Steepest Gradient-based Reconstruction Algorithm for Denoising Lung Sound 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022 DOI:10.1109/I2CT54291.2022.9824380

[6]	Performance Metrics Analysis of Adaptive threshold Empirical Mode Decomposition Denoising method for suppression of noise in Lung sounds 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII), 2021 DOI:10.1109/ICBSII51839.2021.9445164

[7]	Design and Comparative Performance of a Robust Lung Auscultation System for Noisy Clinical Settings IEEE Journal of Biomedical and Health Informatics, 2021 DOI:10.1109/JBHI.2021.3056916

[8]	An objective measure of signal quality for pediatric lung auscultations 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020 DOI:10.1109/EMBC44109.2020.9176539

[9]	Computerized Lung Sound Screening for Pediatric Auscultation in Noisy Field Environments IEEE Transactions on Biomedical Engineering, 2018 DOI:10.1109/TBME.2017.2717280

[10]	Performance of Adaptive Noise Cancellation with Normalized Last-Mean-Square Based on the Signal-to-Noise Ratio of Lung and Heart Sound Separation Journal of Healthcare Engineering, 2018 DOI:10.1155/2018/9732762

[11]	Adaptive Noise Suppression of Pediatric Lung Auscultations With Real Applications to Noisy Clinical Settings in Developing Countries IEEE Transactions on Biomedical Engineering, 2015 DOI:10.1109/TBME.2015.2422698

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