Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Tomasz Grzywalski"'
Autor:
Honorata Hafke-Dys, Barbara Kuźnar-Kamińska, Tomasz Grzywalski, Adam Maciaszek, Krzysztof Szarzyński, Jędrzej Kociński
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Background: Effective and reliable monitoring of asthma at home is a relevant factor that may reduce the need to consult a doctor in person.Aim: We analyzed the possibility to determine intensities of pathological breath phenomena based on artificial
Externí odkaz:
https://doaj.org/article/91a5abcb5e0a496291bac5f6c0f4b45c
Autor:
Tomasz Grzywalski, Szymon Drgas
Publikováno v:
Sensors, Vol 22, Iss 7, p 2440 (2022)
Monaural speech enhancement aims to remove background noise from an audio recording containing speech in order to improve its clarity and intelligibility. Currently, the most successful solutions for speech enhancement use deep neural networks. In a
Externí odkaz:
https://doaj.org/article/d82d442f4b0c4cb5b2ddb4656a97b89a
Autor:
Tomasz Grzywalski, Szymon Drgas
Publikováno v:
Multimedia Tools and Applications. 81:18617-18639
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4300c9236f455dec1bf432d3d971b74
https://doi.org/10.1007/s11042-022-12632-6
https://doi.org/10.1007/s11042-022-12632-6
Autor:
Barbara Kuźniar-Kamińska, Jędrzej Kociński, Krzysztof Szarzynski, Tomasz Grzywalski, Adam Maciaszek, Honorata Hafke-Dys
Publikováno v:
Monitoring airway disease.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87959be907cab965ae69f9f206b58cae
https://doi.org/10.1183/13993003.congress-2021.oa1291
https://doi.org/10.1183/13993003.congress-2021.oa1291
Practical implementation of artificial intelligence algorithms in pulmonary auscultation examination
Autor:
Anna Pastusiak, Tomasz Grzywalski, Honorata Hafke-Dys, Mateusz Piecuch, Jędrzej Kociński, Anna Bręborowicz, Riccardo Belluzzo, Marcin Szajek
Publikováno v:
European Journal of Pediatrics
Lung auscultation is an important part of a physical examination. However, its biggest drawback is its subjectivity. The results depend on the experience and ability of the doctor to perceive and distinguish pathologies in sounds heard via a stethosc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fb1495718df9031cbfa5250782ce108
http://europepmc.org/articles/PMC6511356
http://europepmc.org/articles/PMC6511356
Autor:
Szymon Drgas, Tomasz Grzywalski
Publikováno v:
SPA
Scopus-Elsevier
Scopus-Elsevier
In recent years speech enhancement has shown great progress that was driven mostly by using bigger and more sophisticated neural networks. In this work we investigate the possibility to use state-of-the-art speech enhancement neural network and modif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f65db8ba2604724069e9dd99fe5bf0e8
https://doi.org/10.23919/spa50552.2020.9241307
https://doi.org/10.23919/spa50552.2020.9241307
Autor:
Tomasz Grzywalski, Honorata Hafke-Dys, Krzysztof Szarzynski, Adam Maciaszek, Mateusz Piecuch, Riccardo Belluzzo
Publikováno v:
IJCNN
In recent years, many approaches have been proposed for automated heart sound analysis. However, most of these algorithms separate the two steps required for an accurate detection of abnormal cardiac sounds: segmentation of stethoscope recording into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70a1e8fcc09d76e9fb97c5c42cdc946a
https://doi.org/10.1109/ijcnn48605.2020.9207315
https://doi.org/10.1109/ijcnn48605.2020.9207315
Autor:
Anna Pastusiak, Tomasz Grzywalski, Marcin Szajek, Honorata Hafke-Dys, Anna Bręborowicz, Riccardo Belluzzo, Jędrzej Kociński
Publikováno v:
M-health/e-health.
A stethoscope, introduced more than two centuries ago, is still a tool providing potentially valuable information gained during one of the most common examinations. However, the biggest drawback of auscultation is its subjectivity. It depends mainly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc063b4f9caeb785384b0525e21e5c25
https://doi.org/10.1183/13993003.congress-2019.pa2231
https://doi.org/10.1183/13993003.congress-2019.pa2231
Autor:
Riccardo Belluzzo, Honorata Hafke-Dys, Tomasz Grzywalski, Mateusz Piecuch, Marcin Szajek, Jędrzej Kociński, Anna Bręborowicz, Anna Pastusiak
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783030216412
AIME
AIME
Performing an auscultation of respiratory system normally requires the presence of an experienced doctor, but the most recent advances in artificial intelligence (AI) open up a possibility for the laymen to perform this procedure by himself in home e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18d7093e00563d06ba985e64d94c85e4
https://doi.org/10.1007/978-3-030-21642-9_5
https://doi.org/10.1007/978-3-030-21642-9_5
Autor:
Tomasz Grzywalski, Adam Biniakowski, Krzysztof Szarzynski, Jakub Ptaszynski, Mateusz Piecuch, Szymon Drgas, Adam Maciaszek, Krzysztof Joachimiak, Riccardo Belluzzo, Jan Orwat, Dawid Niemiec
Publikováno v:
IEEE BigData
In this article a DNN-based system for detection of three common voice disorders (vocal nodules, polyps and cysts; laryngeal neoplasm; unilateral vocal paralysis) is presented. The input to the algorithm is (at least 3-second long) audio recording of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae9043ee467d56de2b20cc943f7653d6
https://doi.org/10.1109/bigdata.2018.8622012
https://doi.org/10.1109/bigdata.2018.8622012