4 results match your criteria: "University of Applied Sciences Würzburg-Schweinfurt (FHWS)[Affiliation]"
Simultaneous measurements of 3D wall shear stress and pulse wave velocity in the murine aortic arch.
J Cardiovasc Magn Reson
March 2021
Experimental Physiks V, University of Würzburg, Am Hubland, 97074, Würzburg, Germany.
Purpose: Wall shear stress (WSS) and pulse wave velocity (PWV) are important parameters to characterize blood flow in the vessel wall. Their quantification with flow-sensitive phase-contrast (PC) cardiovascular magnetic resonance (CMR), however, is time-consuming. Furthermore, the measurement of WSS requires high spatial resolution, whereas high temporal resolution is necessary for PWV measurements.
View Article and Find Full Text PDFTactile Low Frequency Vibration in Dementia Management: A Scoping Review Protocol.
Int J Environ Res Public Health
February 2021
Institute for Applied Social Sciences, University of Applied Sciences Würzburg-Schweinfurt (FHWS), 97070 Würzburg, Germany.
Article Synopsis
- Dementia is increasingly recognized as a significant issue, prompting the use of non-drug therapies like music for symptom management.
- A proposed review aims to investigate how people with dementia respond to low frequency vibrations (LFV), which are similar to music but not well understood.
- The review will follow specific guidelines, involving thorough searches of various academic databases and independent assessments of the relevant studies to identify gaps and enhance understanding of LFV and its relationship to music in dementia care.
Smartphone-Based Indoor Localization within a 13th Century Historic Building.
Sensors (Basel)
November 2018
Institute of Medical Informatics, University of Lübeck, 23538 Lübeck, Germany.
Within this work we present an updated version of our indoor localization system for smartphones. The pedestrian's position is given by means of recursive state estimation using a particle filter to incorporate different probabilistic sensor models. Our recently presented approximation scheme of the kernel density estimation allows to find an exact estimation of the current position, compared to classical methods like weighted-average.
View Article and Find Full Text PDFThe Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and Future Work.
Sensors (Basel)
March 2017
MICA Institute (HUST-CNRS/UMI2954-Grenoble INP), Hanoi University of Science and Technology, 100000 Hanoi, Vietnam.
This paper presents the analysis and discussion of the off-site localization competition track, which took place during the Seventh International Conference on Indoor Positioning and Indoor Navigation (IPIN 2016). Five international teams proposed different strategies for smartphone-based indoor positioning using the same reference data. The competitors were provided with several smartphone-collected signal datasets, some of which were used for training (known trajectories), and others for evaluating (unknown trajectories).
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