A Two-Stage Regression Using Bioimpedance and Temperature for Hydration Assessment During Sports
Ring M, Lohmüller C, Rauh M, Eskofier B (2014)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2014
Pages Range: 4519 - 4524
Conference Proceedings Title: Proceedings of the 2014 22nd International Conference on Pattern Recognition (ICPR)
Event location: Stockholm
Abstract
Bioimpedance analysis (BIA) estimates the amount of total body water (TBW) in the human body. During sports, however, the increased skin temperature distorts bioimpedance measurements and, thus, prevents the application of BIA. In this paper, we propose a two-stage regression that includes temperature information in order to correct the temperature-distorted bioimpedance. In detail, the first regression stage corrects temperature-distored bioimpedance using information of skin and core temperature. The second regression stage estimates TBW loss on basis of the corrected bioimpedance. The two-stage regression was evaluated using data of an ongoing study. The results showed that estimations of TBW loss during sports can be considerably improved if temperature information is included. However, a remaining error was still observed. Therefore, additional measurements, e.g., skin blood flow, are discussed because they also influence bioimpedance and could further reduce the error.
Authors with CRIS profile
Matthias Ring
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Manfred Rauh
Medizinische Fakultät
Björn Eskofier
Related research project(s)
How to cite
APA:
Ring, M., Lohmüller, C., Rauh, M., & Eskofier, B. (2014). A Two-Stage Regression Using Bioimpedance and Temperature for Hydration Assessment During Sports. In IEEE (Eds.), Proceedings of the 2014 22nd International Conference on Pattern Recognition (ICPR) (pp. 4519 - 4524). Stockholm, SE.
MLA:
Ring, Matthias, et al. "A Two-Stage Regression Using Bioimpedance and Temperature for Hydration Assessment During Sports." Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), Stockholm Ed. IEEE, 2014. 4519 - 4524.
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