Zobrazeno 1 - 10
of 197
pro vyhledávání: '"Lemay Mathieu"'
Autor:
Annaheim Simon, Braun Fabian, Bernhard Leah, Pfammatter Amarin, Proença Martin, Bonnier Guillaume, Ferrario Damien, Lemay Mathieu, Rossi René M.
Publikováno v:
Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 121-124 (2022)
Optical fibres enable to design of new textile-based sensors for an unobtrusive, continuous, and long-term acquisition of photoplethysmography (PPG) signals. However, no research has been done about the accuracy of measuring blood oxygen saturation (
Externí odkaz:
https://doaj.org/article/aec7e46d80a2499d954c86597b0a99f2
Autor:
Solà Josep, Proença Martin, Braun Fabian, Pierrel Nicolas, Degiorgis Yan, Verjus Christophe, Lemay Mathieu, Bertschi Mattia, Schoettker Patrick
Publikováno v:
Current Directions in Biomedical Engineering, Vol 2, Iss 1, Pp 267-271 (2016)
Routine monitoring of blood pressure during general anaesthesia relies on intermittent measurements with a non-invasive brachial cuff every five minutes. This manuscript provides first experimental evidence that a physiology-based pulse wave analysis
Externí odkaz:
https://doaj.org/article/371a9c6057cc4458a70274e65e34790b
Autor:
Gaudilliere, Pierre Louis, Sigurthorsdottir, Halla, Aguet, Clémentine, Van Zaen, Jérôme, Lemay, Mathieu, Delgado-Gonzalo, Ricard
ECG heartbeat classification plays a vital role in diagnosis of cardiac arrhythmia. The goal of the Physionet/CinC 2021 challenge was to accurately classify clinical diagnosis based on 12, 6, 4, 3 or 2-lead ECG recordings in order to aid doctors in t
Externí odkaz:
http://arxiv.org/abs/2110.04071
We developed a convolutional recurrent neural network to classify 12-lead ECG signals for the challenge of PhysioNet/ Computing in Cardiology 2020 as team Pink Irish Hat. The model combines convolutional and recurrent layers, takes sliding windows of
Externí odkaz:
http://arxiv.org/abs/2009.13320
Publikováno v:
IEEE Engineering in Medicine and Biology Conference 2019 (EMBC '19)
Medical data belongs to whom it produces it. In an increasing manner, this data is usually processed in unauthorized third-party clouds that should never have the opportunity to access it. Moreover, recent data protection regulations (e.g., GDPR) pav
Externí odkaz:
http://arxiv.org/abs/1907.12242
Autor:
Van Zaen, Jérôme, Chételat, Olivier, Lemay, Mathieu, Calvo, Enric M., Delgado-Gonzalo, Ricard
While most heart arrhythmias are not immediately harmful, they can lead to severe complications. In particular, atrial fibrillation, the most common arrhythmia, is characterized by fast and irregular heart beats and increases the risk of suffering a
Externí odkaz:
http://arxiv.org/abs/1907.01513
Autor:
Segarra, Carlos, Delgado-Gonzalo, Ricard, Lemay, Mathieu, Aublin, Pierre-Louis, Pietzuch, Peter, Schiavoni, Valerio
Publikováno v:
In: Pereira J., Ricci L. (eds) Distributed Applications and Interoperable Systems. DAIS 2019. Pages 91-107. Lecture Notes in Computer Science, vol 11534. Springer, Cham
Processing sensitive data, such as those produced by body sensors, on third-party untrusted clouds is particularly challenging without compromising the privacy of the users generating it. Typically, these sensors generate large quantities of continuo
Externí odkaz:
http://arxiv.org/abs/1906.07072
Akademický článek
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Akademický článek
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Autor:
Aeberhard, Jasmin Leonie, Radan, Anda-Petronela, Soltani, Ramin Abolfazl, Strahm, Karin Maya, Schneider, Sophie, Carrié, Adriana, Lemay, Mathieu, Krauss, Jens, Delgado-Gonzalo, Ricard, Surbek, Daniel
Publikováno v:
Methods & Protocols; Feb2024, Vol. 7 Issue 1, p5, 12p