المؤلفون: Pessoa, Diogo, Petmezas, Georgios, Papageorgiou, Vasileios E., Rocha, Bruno M., Stefanopoulos, Leandros, Kilintzis, Vassilis, Maglaveras, Nicos, Frerichs, Inez, de Carvalho, Paulo, Pedro Paiva, Rui

المصدر: 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS) Biomedical Circuits and Systems Conference (BioCAS), 2023 IEEE. :1-5 Oct, 2023

Relation: 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)

المؤلفون: Fernandes, Tiago, Rocha, Bruno M., Pessoa, Diogo, de Carvalho, Paulo, Paiva, Rui Pedro

المصدر: 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) Biomedical and Health Informatics (BHI), 2022 IEEE-EMBS International Conference on. :01-05 Sep, 2022

Relation: 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

المؤلفون: Arunkumar Ram, Ghanshyam Jindal, Uttam Bagal, Gajanan Nagare

المصدر: Frontiers in Biomedical Technologies, Vol 11, Iss 2 (2024)

مصطلحات موضوعية: Respiratory Sounds, Adventitious Respiratory Sounds (ARS), Datasets, Spectral Analysis, Time Frequency Analysis, Review., Medical technology, R855-855.5

وصف الملف: electronic resource

Relation: https://fbt.tums.ac.ir/index.php/fbt/article/view/586; https://doaj.org/toc/2345-5837

URL الوصول: https://doaj.org/article/13587c5343864010a957c41433112cac

المؤلفون: Beatriz Herrero-Cortina, Marina Francín-Gallego, Juan Antonio Sáez-Pérez, Marta San Miguel-Pagola, Laura Anoro-Abenoza, Cristina Gómez-González, Jesica Montero-Marco, Marta Charlo-Bernardos, Elena Altarribas-Bolsa, Alfonso Pérez-Trullén, Cristina Jácome

المصدر: Journal of Clinical Medicine, Vol 11, Iss 24, p 7509 (2022)

مصطلحات موضوعية: bronchiectasis, adventitious respiratory sounds, crackles, wheezes, reliability, validity, Medicine

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2077-0383/11/24/7509; https://doaj.org/toc/2077-0383

URL الوصول: https://doaj.org/article/fe2c9f6196b74376906a28d50f722c18

المؤلفون: Rocha, B. M.^Aff9, Mendes, L.^Aff9, Chouvarda, I.^Aff10, Carvalho, P.^Aff9, Paiva, R. P.^Aff9

المساهمون: Magjarevic, Ratko, Series Editor^Aff1, Ładyżyński, Piotr, Associate Editor^Aff2, Ibrahim, Fatimah, Associate Editor^Aff3, Lackovic, Igor, Associate Editor^Aff4, Rock, Emilio Sacristan, Associate Editor^Aff5, Maglaveras, Nicos, editor^Aff6, Chouvarda, Ioanna, editor^Aff7, de Carvalho, Paulo, editor^Aff8

المصدر: Precision Medicine Powered by pHealth and Connected Health : ICBHI 2017, Thessaloniki, Greece, 18-21 November 2017. 66:51-55

المؤلفون: Le Cam, S., Belghith, A., Collet, Ch., Salzenstein, F.

المصدر: 2009 IEEE International Conference on Acoustics, Speech and Signal Processing Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on. :541-544 Apr, 2009

Relation: ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing

المؤلفون: Bruno Machado Rocha, Diogo Pessoa, Alda Marques, Paulo Carvalho, Rui Pedro Paiva

المصدر: Sensors, Vol 21, Iss 1, p 57 (2020)

مصطلحات موضوعية: adventitious respiratory sounds, experimental design, machine learning, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/21/1/57; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/95290e1481d44416966d36578d852f02

المؤلفون: Fernandes, Tiago Ferreira

المساهمون: Carvalho, Paulo Fernando Pereira de, Paiva, Rui Pedro Pinto de Carvalho e

مصطلحات موضوعية: Aprendizagem Profunda, Machine Learning, Adventitious Respiratory Sounds, Sons Respiratórios Adventícios, Deep Learning, Segmentation, Segmentação, Aprendizagem Computacional, Classificação, Classification

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______1271::c05513a7245b71004cd369080e583ad8
https://hdl.handle.net/10316/102160

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المؤلفون: Lebreiro, Ana Sofia Besteiro

المساهمون: Paiva, Rui Pedro Pinto de Carvalho e

مصطلحات موضوعية: Aprendizagem Profunda, Adventitious Respiratory Sounds, Sons Respiratórios Adventícios, Segmentation, Deep Learning, Segmentação, Classificação, Classification, Features Engineering

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______1271::c8d07cd726a00a1be034932a15e585a4
https://hdl.handle.net/10316/97987