Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Stephan M. Jonas"'
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:
Flora P. Gittinger, Martin Lemos, Jan L. Neumann, Jürgen Förster, Daniel Dohmen, Birgit Berke, Anke Olmeo, Gisela Lucas, Stephan M. Jonas
Publikováno v:
BMC Medical Education, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background Reliable and objective assessment of psychomotor skills in physiotherapy students’ education is essential for direct feedback and skill improvement. The aim of this study is to determine the interrater reliability in the assessm
Externí odkaz:
https://doaj.org/article/6d18c1316b35407488f3d1c81bd6fb77
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:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-10 (2019)
Abstract Background Efficient planning of hospital bed usage is a necessary condition to minimize the hospital costs. In the presented work we deal with the problem of occupancy forecasting in the scale of several months, with a focus on personnel’
Externí odkaz:
https://doaj.org/article/118f9d8d18604ff28f9d678adbf723cd
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
Autor:
Ekaterina Kutafina, Anne Heiligers, Radomir Popovic, Alexander Brenner, Bernd Hankammer, Stephan M. Jonas, Klaus Mathiak, Jana Zweerings
Publikováno v:
Sensors, Vol 21, Iss 15, p 5205 (2021)
The aim of the present investigation was to assess if a mobile electroencephalography (EEG) setup can be used to track mental workload, which is an important aspect of learning performance and motivation and may thus represent a valuable source of in
Externí odkaz:
https://doaj.org/article/c77bcd8e98314e0f804ebfa7eeb100e2
Autor:
Constance G. Weismann, Anna Blice-Baum, Tangji Tong, Joyce Li, Brendan K. Huang, Stephan M. Jonas, Anthony Cammarato, Michael A. Choma
Publikováno v:
Biology Open, Vol 8, Iss 8 (2019)
Establishing connections between changes in linear DNA sequences and complex downstream mesoscopic pathology remains a major challenge in biology. Herein, we report a novel, multi-modal and multiscale imaging approach for comprehensive assessment of
Externí odkaz:
https://doaj.org/article/51bc798a70664f7e816df3e0b29d189f
Publikováno v:
Sensors, Vol 19, Iss 21, p 4792 (2019)
The authors wish to make the following erratum to this paper [...]
Externí odkaz:
https://doaj.org/article/dd820acf65e5450f89364a04fa77bad3
Publikováno v:
Sensors, Vol 16, Iss 8, p 1221 (2016)
In this paper, we propose a novel approach to eLearning that makes use of smart wearable sensors. Traditional eLearning supports the remote and mobile learning of mostly theoretical knowledge. Here we discuss the possibilities of eLearning to support
Externí odkaz:
https://doaj.org/article/2b34530961624d048ace38a643332215