Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Maximilian Kapsecker"'
Publikováno v:
SoftwareX, Vol 25, Iss , Pp 101608- (2024)
The computational detection of R-peaks in an electrocardiogram (ECG) is particularly important for assessing vital signs in ambulatory settings. Algorithmic approaches are mainly open source and available for research purposes, primarily in the Pytho
Externí odkaz:
https://doaj.org/article/88089b5808e0473a91dccaf760f021c1
Autor:
Maximilian Kapsecker, Daniel N. Nugraha, Christoph Weinhuber, Nicholas Lane, Stephan M. Jonas
Publikováno v:
SoftwareX, Vol 24, Iss , Pp 101533- (2023)
Federated learning (FL) enables the optimization of machine learning models on distributed clients without sharing local data. The integration of FL into a mobile environment is becoming more feasible due to increasing on-device processing capabiliti
Externí odkaz:
https://doaj.org/article/0765ba8b9bf04a018d48ae932935ce8b
Autor:
Fabian Starnecker, Lara Marie Reimer, Leon Nissen, Marko Jovanović, Maximilian Kapsecker, Susanne Rospleszcz, Moritz von Scheidt, Johannes Krefting, Nils Krüger, Benedikt Perl, Jens Wiehler, Ruoyu Sun, Stephan Jonas, Heribert Schunkert
Publikováno v:
JMIR Cardio, Vol 7, p e50813 (2023)
BackgroundIdentifying high-risk individuals is crucial for preventing cardiovascular diseases (CVDs). Currently, risk assessment is mostly performed by physicians. Mobile health apps could help decouple the determination of risk from medical resource
Externí odkaz:
https://doaj.org/article/d357fea41fb8479bacd4f519bfa9a49a
Autor:
Leon Nissen, Julia Hübner, Jens Klinker, Maximilian Kapsecker, Alexander Leube, Max Schneckenburger, Stephan M. Jonas
Publikováno v:
Sensors, Vol 23, Iss 9, p 4486 (2023)
There is a growing consensus in the global health community that the use of communication technologies will be an essential factor in ensuring universal health coverage of the world’s population. New technologies can only be used profitably if thei
Externí odkaz:
https://doaj.org/article/18e33148fd0848708c41cad177fe03d1
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 4806 (2022)
Computer-vision-based frameworks enable markerless human motion capture on consumer-grade devices in real-time. They open up new possibilities for application, such as in the health and medical sector. So far, research on mobile solutions has been fo
Externí odkaz:
https://doaj.org/article/6d61b23a9283450b845f1a3e77c1f072
Publikováno v:
2022 IEEE International Conference on Digital Health (ICDH).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a91b46290cac19ebf25b1d9b0cfe90c
https://doi.org/10.1109/icdh55609.2022.00022
https://doi.org/10.1109/icdh55609.2022.00022
Publikováno v:
Applied Sciences; Volume 12; Issue 10; Pages: 4806
Computer-vision-based frameworks enable markerless human motion capture on consumer-grade devices in real-time. They open up new possibilities for application, such as in the health and medical sector. So far, research on mobile solutions has been fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa22b5bdf8fcfb092aec24d8e1156357
https://doi.org/10.3390/app12104806
https://doi.org/10.3390/app12104806