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Non-invasive determination of the human hydration levelThe aim of the research project is the development of an
embedded system for the determination of the human
hydration
level with non-invasive sensors. The combination of
non-invasive sensors and embedded systems enables the
determination of the hydration level in many new
situations.
For example, the hydration level of athletes could be
monitored to maintain their optimal performance or the
system could be connected to clinical warning systems in
hospitals to monitor the hydration level of patients.The research project is divided into six sub-projects:
1. Selection of appropriate non-invasive sensors
2. Collection of reference information using invasive
methods
3. Collection of empirical samples using non-invasive
methods
4. Usage of pattern recognition methods to determine the
hydration level in non-invasive sensor data
5. Implementation on an embedded system
6. Evaluation in a clinical study
| Project manager:
Prof. Dr. Björn Eskofier
Project participants:
Dr.-Ing. Matthias Ring
Keywords:
pattern recognition, embedded systems, classification, digital sports, biosignals
Duration: 1.1.2013 - 31.12.2017
Contact:
Ring, Matthias
Phone +49 9131 85 20285, Fax +49 9131 85 28980, E-Mail: matthias.ring@fau.de
| | Publications |
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Ring, Matthias ; Lohmüller, Clemens ; Rauh, Manfred ; Eskofier, Björn: A Two-Stage Regression Using Bioimpedance and Temperature for Hydration Assessment During Sports. In: IEEE Computer Society (Ed.) : Proceedings of the 2014 22nd International Conference on Pattern Recognition (2014 22nd International Conference on Pattern Recognition Stockholm, Sweden August 24-28, 2014). 2014, pp 4519-4524.
[doi>10.1109/ICPR.2014.773] | | Ring, Matthias ; Lohmüller, Clemens ; Rauh, Manfred ; Eskofier, Björn: On Sweat Analysis for Quantitative Estimation of Dehydration during Physical Exercise. In: IEEE Engineering in Medicine and Biology Society (Ed.) : Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Milan, Italy August, 25-29). 2015, pp 7011-7014. | | Ring, Matthias ; Lohmueller, Clemens ; Rauh, Manfred ; Mester, Joachim ; Eskofier, Björn: A Temperature-Based Bioimpedance Correction for Water Loss Estimation During Sports. In: IEEE Journal of Biomedical and Health Informatics 20 (2016), No. 6, pp 1477-1484 |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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