المؤلفون: Fernando, Tharindu, Sridharan, Sridha, Denman, Simon, Ghaemmaghami, Houman, Fookes, Clinton

المصدر: IEEE Journal of Biomedical and Health Informatics

مصطلحات موضوعية: Adventitious Sound, Computer architecture, Convolution, Convolutional neural networks, Electronic Stethoscope, Event detection, Feature extraction, Lung, Lung Sound Event Detection, Respiratory Monitor, Segmentation, Spectrogram, Temporal Convolution Networks

العلاقة: Fernando, Tharindu, Sridharan, Sridha, Denman, Simon, Ghaemmaghami, Houman, & Fookes, Clinton (2022) Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings. IEEE Journal of Biomedical and Health Informatics, 26(7), pp. 2898-2908.; https://eprints.qut.edu.au/232373Test/; Centre for Data Science; Centre for Biomedical Technologies; Faculty of Science; Faculty of Engineering; School of Electrical Engineering & Robotics

الإتاحة: https://doi.org/10.1109/JBHI.2022.3144314Test
https://eprints.qut.edu.au/232373Test/

المؤلفون: Bilir S., Öztürk S.

مصطلحات موضوعية: Classification, Crackle, Filters, Lung Disease, Lung Sounds, Pneumonia, Wavelet Transform, Bandpass filters, Biological organs, Butterworth filters, Chebyshev filters, Nearest neighbor search, Support vector machines, Abnormal sounds, Butterworth, Classification algorithm, Electronic stethoscope, Filter, Filter algorithm, Wavelets transform, Wavelet transforms

العلاقة: https://doi.org/10.23919/ELECO54474.2021.9677851Test

الإتاحة: https://doi.org/10.23919/ELECO54474.2021.9677851Test

المؤلفون: Polley C., Andreozzi E., Bifulco P., Esposito D., Naik G., Gunawardana U., Gargiulo G.

المساهمون: Polley, C., Andreozzi, E., Bifulco, P., Esposito, D., Naik, G., Gunawardana, U., Gargiulo, G.

مصطلحات موضوعية: Electronic Stethoscope, Low-Cost, Piezoelectric, Pre-Amplifier, Silicone

العلاقة: info:eu-repo/semantics/altIdentifier/isbn/978-1-7281-6657-5; info:eu-repo/semantics/altIdentifier/wos/WOS:000533879400007; ispartofbook:2019 International Conference on Electrical Engineering Research and Practice, iCEERP 2019; 2019 International Conference on Electrical Engineering Research and Practice, iCEERP 2019; firstpage:1; lastpage:6; numberofpages:6; http://hdl.handle.net/11588/837088Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85078919715

الإتاحة: https://doi.org/10.1109/ICEERP49088.2019.8956972Test
http://hdl.handle.net/11588/837088Test

المؤلفون: Ghaemmaghami, Houman, Hussain, Nayyar, Tran, Khoa, Carey, Aiden, Hussain, Shamile, Syed, Farhan, Sinskey, Anthony, O'Hashi, Kevin, Sperling, John

المساهمون: Sawan, M, Antani, S

المصدر: Proceedings of the 1st IEEE Life Sciences Conference (LSC)

مصطلحات موضوعية: Feature extraction, Heart, Medical services, Neural networks, Standards, Stethoscope, Training

العلاقة: Ghaemmaghami, Houman, Hussain, Nayyar, Tran, Khoa, Carey, Aiden, Hussain, Shamile, Syed, Farhan, Sinskey, Anthony, O'Hashi, Kevin, & Sperling, John (2017) Automatic segmentation and classification of cardiac cycles using deep learning and a wireless electronic stethoscope. In Sawan, M & Antani, S (Eds.) Proceedings of the 1st IEEE Life Sciences Conference (LSC). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 210-213.; https://eprints.qut.edu.au/130548Test/; Institute for Future Environments; Science & Engineering Faculty

الإتاحة: https://doi.org/10.1109/LSC.2017.8268180Test
https://eprints.qut.edu.au/130548Test/

المؤلفون: Altan, Gökhan, Kutlu, Yakup

المساهمون: Mühendislik ve Doğa Bilimleri Fakültesi -- Bilgisayar Mühendisliği Bölümü, Kutlu, Yakup

مصطلحات موضوعية: Crackles, Machine learning, Oscultation, Respiratory sounds, Wheeze, Solunum sesleri, Oskülyaston, Makine öğrenmesi, Çıtırtı, Hırıltı, Engineering, Biomedical, Respiratory Sounds | Auscultation | Stethoscopes, Lung sounds, Classification, Stethoscope, Artificial intelligence, Biomedical engineering, Computer aided analysis, Computer aided diagnosis, Learning systems, Computer-aided systems, Diagnosis systems, Systematic Review, Learning algorithms

وصف الملف: application/pdf

العلاقة: 2016 20th National Biomedical Engineering Meeting, BIYOMUT 2016; Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; Web of Science - Scopus; Web of Science Core Collection - Conference Proceedings Citation Index- Science; https://doi.org/10.1109/BIYOMUT.2016.7849379Test; https://hdl.handle.net/20.500.12508/506Test

الإتاحة: https://doi.org/20.500.12508/506Test
https://doi.org/10.1109/BIYOMUT.2016.7849379Test
https://hdl.handle.net/20.500.12508/506Test

المصدر: IEEE Journal of Biomedical and Health Informatics

مصطلحات الفهرس: Adventitious Sound, Computer architecture, Convolution, Convolutional neural networks, Electronic Stethoscope, Event detection, Feature extraction, Lung, Lung Sound Event Detection, Respiratory Monitor, Segmentation, Spectrogram, Temporal Convolution Networks, Contribution to Journal

URL: doi:10.1109/JBHI.2022.3144314
Fernando, Tharindu, Sridharan, Sridha, Denman, Simon, Ghaemmaghami, Houman, & Fookes, Clinton (2022) Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings. IEEE Journal of Biomedical and Health Informatics, 26(7), pp. 2898-2908.

مصطلحات الفهرس: lung, abnormal respiratory sound, article, auscultation, binary classification, breathing rate, classifier, controlled study, feature selection, heart rate, human, infant, leave one out cross validation, newborn, pediatrics, phonocardiography, quality control, reliability, sensitivity and specificity, stethoscope, telehealth, thorax, Article

URL: https://repository.monashhealth.org/monashhealthjspui/handle/1/28671Test
IEEE Journal of Biomedical and Health Informatics
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مصطلحات الفهرس: lung, abnormal respiratory sound, article, auscultation, binary classification, breathing rate, classifier, controlled study, feature selection, heart rate, human, infant, leave one out cross validation, newborn, pediatrics, phonocardiography, quality control, reliability, sensitivity and specificity, stethoscope, telehealth, thorax, Article

URL: https://repository.monashhealth.org/monashhealthjspui/handle/1/28671Test
IEEE Journal of Biomedical and Health Informatics
LibKey Link

المصدر: Proceedings of the 1st IEEE Life Sciences Conference (LSC)

مصطلحات الفهرس: Feature extraction, Heart, Medical services, Neural networks, Standards, Stethoscope, Training, Chapter in Book, Report or Conference volume

URL: doi:10.1109/LSC.2017.8268180
Ghaemmaghami, Houman, Hussain, Nayyar, Tran, Khoa, Carey, Aiden, Hussain, Shamile, Syed, Farhan, Sinskey, Anthony, O'Hashi, Kevin, & Sperling, John (2017) Automatic segmentation and classification of cardiac cycles using deep learning and a wireless electronic stethoscope. In Sawan, M & Antani, S (Eds.) Proceedings of the 1st IEEE Life Sciences Conference (LSC). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 210-213.