Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Vincent Zalc"'
Publikováno v:
IEEE Access, Vol 9, Pp 9411-9428 (2021)
Microservice-based systems promote agility and rapid business development. Some features, such as fast time-to-market, scalability and optimal response times, have encouraged stakeholders to get more involved in the development and implementation of
Externí odkaz:
https://doaj.org/article/78d494ee032741abb2082e1cb10fe647
Autor:
Mouna Benchekroun, Pedro Elkind Velmovitsky, Dan Istrate, Vincent Zalc, Plinio Pelegrini Morita, Dominique Lenne
Publikováno v:
Sensors, Vol 23, Iss 4, p 1807 (2023)
Stress is an increasingly prevalent mental health condition across the world. In Europe, for example, stress is considered one of the most common health problems, and over USD 300 billion are spent on stress treatments annually. Therefore, monitoring
Externí odkaz:
https://doaj.org/article/ec94c5bf70b648cda047311e8ea99556
Publikováno v:
Sensors, Vol 22, Iss 5, p 1984 (2022)
Thanks to wearable devices joint with AI algorithms, it is possible to record and analyse physiological parameters such as heart rate variability (HRV) in ambulatory environments. The main downside to such setups is the bad quality of recorded data d
Externí odkaz:
https://doaj.org/article/1aec3b0c5367490fa4c6cd4591c68d9a
Autor:
Vincent Zalc, Pedro Velmovitsky, Dan Istrate, Mouna Benchekroun, Plinio Pelegrini Morita, Dominique Lenne
Publikováno v:
Sensors
Volume 23
Issue 4
Pages: 1807
Volume 23
Issue 4
Pages: 1807
Stress is an increasingly prevalent mental health condition across the world. In Europe, for example, stress is considered one of the most common health problems, and over USD 300 billion are spent on stress treatments annually. Therefore, monitoring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69ef719283f31415a31734b6e24e0f1a
Publikováno v:
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::539669afac03e0b58e31ef5704d7aa76
https://doi.org/10.5220/0011698100003414
https://doi.org/10.5220/0011698100003414
Autor:
Mouna Benchekroun, Baptiste Chevallier, Vincent Zalc, Dan Istrate, Dominique Lenne, Nicolas Vera
Publikováno v:
IRBM. 44:100776
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acc046a68e48d4a828aa239f615f0b17
https://doi.org/10.1016/j.irbm.2023.100776
https://doi.org/10.1016/j.irbm.2023.100776
Autor:
Mouna Benchekroun, Baptiste Chevallier, Hamza Beaouiss, Dan Istrate, Vincent Zalc, Mohamad Khalil, Dominique Lenne
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Stress has been classified as the health epidemic of the 21st century with an increasingly active research interest within the fields of psychology, neuroscience, medicine, and more recently affective computing. At present, stress is identified throu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57dd509ece9bf4a7833995cb51a88dc0
https://pubmed.ncbi.nlm.nih.gov/36086412
https://pubmed.ncbi.nlm.nih.gov/36086412
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
The study of stress and its implications has been the focus of interest in various fields of science. Many automated/semi-automated stress detection systems based on physiological markers have been gaining enormous popularity and importance in recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c05b0bd0fcb8cd44c8b02f6dc5b3c4b1
https://doi.org/10.1109/embc48229.2022.9871860
https://doi.org/10.1109/embc48229.2022.9871860
Autor:
Diego Robles, Mouna Benchekroun, Andrea Lira, Carla Taramasco, Vincent Zalc, Igor Irazzoky, Dan Istrate
Publikováno v:
2022 IEEE International Workshop on Metrology for Living Environment (MetroLivEn).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75e3c1f79913b87fedca5f02f7c3b560
https://doi.org/10.1109/metrolivenv54405.2022.9826927
https://doi.org/10.1109/metrolivenv54405.2022.9826927
Publikováno v:
Sensors; Volume 22; Issue 5; Pages: 1984
Thanks to wearable devices joint with AI algorithms, it is possible to record and analyse physiological parameters such as heart rate variability (HRV) in ambulatory environments. The main downside to such setups is the bad quality of recorded data d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9736b341d754ca309b57c82e7ecb1849