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David B. Springer, Thomas Brennan, Ntobeko Ntusi, Hassan Y. Abdelrahman, Liesl J. Zühlke, Bongani M. Mayosi, Lionel Tarassenko & Gari D. Clifford. (2016) Automated signal quality assessment of mobile phone-recorded heart sound signals. Journal of Medical Engineering & Technology 40:7-8, pages 342-355.
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Mehrdad Javadi. (2013) Combining neural networks and ANFIS classifiers for supervised examining of electrocardiogram beats. Journal of Medical Engineering & Technology 37:8, pages 484-497.
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H. Naseri, M. R. Homaeinezhad & H. Pourkhajeh. (2013) An expert electrocardiogram quality evaluation algorithm based on signal mobility factors. Journal of Medical Engineering & Technology 37:4, pages 282-291.
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Articles from other publishers (25)
Davoud Shariat Panah, Andrew Hines & Susan McKeever. (2023) Exploring the impact of noise and degradations on heart sound classification models. Biomedical Signal Processing and Control 85, pages 104932.
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Davoud Shariat Panah, Andrew Hines, Joseph A. McKeever & Susan McKeever. (2022) An audio processing pipeline for acquiring diagnostic quality heart sounds via mobile phone. Computers in Biology and Medicine 145, pages 105415.
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E. Grooby, C. Sitaula, D. Fattahi, R. Sameni, K. Tan, L. Zhou, A. King, A. Ramanathan, A. Malhotra, G. A. Dumont & F. Marzbanrad. (2022) Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications. IEEE Access 10, pages 10934-10948.
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Ethan Grooby, Jinyuan He, Julie Kiewsky, Davood Fattahi, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy A. Dumont & Faezeh Marzbanrad. (2021) Neonatal Heart and Lung Sound Quality Assessment for Robust Heart and Breathing Rate Estimation for Telehealth Applications. IEEE Journal of Biomedical and Health Informatics 25:12, pages 4255-4266.
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Noemi Giordano, Samanta Rosati & Marco Knaflitz. (2021) Automated Assessment of the Quality of Phonocardographic Recordings through Signal-to-Noise Ratio for Home Monitoring Applications. Sensors 21:21, pages 7246.
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Hong Tang, Miao Wang, Yating Hu, Binbin Guo & Ting Li. (2021) Automated Signal Quality Assessment for Heart Sound Signal by Novel Features and Evaluation in Open Public Datasets. BioMed Research International 2021, pages 1-15.
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Sukanya Sudarsanan & J. Aravinth. (2020) Classification of Heart Murmur using CNN. Classification of Heart Murmur using CNN.
Mohamed Rouis, Salim Sbaa & Nasser Edinne Benhassine. (2020) The effectiveness of the choice of criteria on the stationary and non-stationary noise removal in the phonocardiogram (PCG) signal using discrete wavelet transform. Biomedical Engineering / Biomedizinische Technik 65:3, pages 353-366.
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Kilin Shi, Sven Schellenberger, Fabian Michler, Tobias Steigleder, Anke Malessa, Fabian Lurz, Christoph Ostgathe, Robert Weigel & Alexander Koelpin. (2020) Automatic Signal Quality Index Determination of Radar-Recorded Heart Sound Signals Using Ensemble Classification. IEEE Transactions on Biomedical Engineering 67:3, pages 773-785.
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Miguel Altuve, Luis Suárez & Jeyson Ardila. (2020) Fundamental heart sounds analysis using improved complete ensemble EMD with adaptive noise. Biocybernetics and Biomedical Engineering 40:1, pages 426-439.
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Miguel Martínez-Iniesta, Juan Ródenas, José J Rieta & Raúl Alcaraz. (2019) The stationary wavelet transform as an efficient reductor of powerline interference for atrial bipolar electrograms in cardiac electrophysiology. Physiological Measurement 40:7, pages 075003.
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Noemi Giordano & Marco Knaflitz. (2019) A Novel Method for Measuring the Timing of Heart Sound Components through Digital Phonocardiography. Sensors 19:8, pages 1868.
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Dawid Gradolewski, Giovanni Magenes, Sven Johansson & Wlodek Kulesza. (2019) A Wavelet Transform-Based Neural Network Denoising Algorithm for Mobile Phonocardiography. Sensors 19:4, pages 957.
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Abdulhamit Subasi. 2019. Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques. Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques
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A. Kishore Kumar & Goutam Saha. (2018) Improved computerized cardiac auscultation by discarding artifact contaminated PCG signal sub-sequence. Biomedical Signal Processing and Control 41, pages 48-62.
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Puneet Kumar Jain & Anil Kumar Tiwari. (2017) An adaptive thresholding method for the wavelet based denoising of phonocardiogram signal. Biomedical Signal Processing and Control 38, pages 388-399.
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Deepan Das, Rohan Banerjee, Anirban Dutta Choudhury, Sakyajit Bhattacharya, Parijat Deshpande, Arpan Pal & Kayapanda M. Mandana. (2017) Novel features from autocorrelation and spectrum to classify Phonocardiogram quality. Novel features from autocorrelation and spectrum to classify Phonocardiogram quality.
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D.B. Springer, T. Brennan, L. J. Zuhlke, H. Y. Abdelrahman, N. Ntusi, G.D. Clifford, B.M Mayosi & L. Tarassenko. (2014) Signal quality classification of mobile phone-recorded phonocardiogram signals. Signal quality classification of mobile phone-recorded phonocardiogram signals.
H. Naseri & M.R. Homaeinezhad. (2014) Improving measurement quality of a MEMS-based gyro-free inertial navigation system. Sensors and Actuators A: Physical 207, pages 10-19.
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Fatemeh Safara, Shyamala Doraisamy, Azreen Azman, Azrul Jantan & Asri Ranga Abdullah Ramaiah. (2013) Multi-level basis selection of wavelet packet decomposition tree for heart sound classification. Computers in Biology and Medicine 43:10, pages 1407-1414.
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H. Naseri, M.R. Homaeinezhad & H. Pourkhajeh. (2013) Noise/spike detection in phonocardiogram signal as a cyclic random process with non-stationary period interval. Computers in Biology and Medicine 43:9, pages 1205-1213.
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H. Naseri & M. R. Homaeinezhad. (2012) Detection and Boundary Identification of Phonocardiogram Sounds Using an Expert Frequency-Energy Based Metric. Annals of Biomedical Engineering 41:2, pages 279-292.
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