Publikationen

Autor	Kraft, Dimitri; Bader, Rainer; Bieber, Gerald
Datum	2020
Art	Conference Paper
Abstrakt	Natural and artificial joints of a human body are emitting vibration and sound during the movement. The sound and vibration pattern of a joint is characteristic and changes due to damage, uneven tread wear, injuries, or other influences. Hence, the vibration and sound analysis enables an estimation of the joint condition. This kind of analysis, vibroarthrography (VAG), allows the analysis of diseases like arthritis or osteoporosis and might determine trauma, inflammation, or misalignment. The classification of the vibration and sound data is very challenging and needs a comprehensive annotated data base. Current existing data bases are very limited and insufficient for deep learning or artificial intelligent approaches. In this paper, we describe a new concept of the design of a vibroarthrography system using a sensor network. We discuss the possible improvements and we give an outlook for the future work and application fields of VAG.
Konferenz	International Conference on Sensor Networks (SENSORNETS) 2020
Projekt	MOREBA
Url	https://publica.fraunhofer.de/handle/publica/407669

Enhancing Vibroarthrography by using Sensor Fusion