Abstract
In this paper a HMM based method for analysing curves of amperometric biosensors is presented. In addition to our multi-HMM approach, we propose an enhanced single-HMM approach, which is used to detect the curve type, the end of the measurement and the correct measurement position. Besides, a problem-specific modified variant of the Baum-Welch algorithm is presented. The multi- and single-HMM approach yielded good accuracies and recognition rates. The modified Baum-Welch algorithm outperformed the standard Baum-Welch.
Supported by SensLab GmbH Leipzig, Germany, http://www.senslab.de
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Weitzenberg, J., Posch, S., Rost, M. (2002). Analysis of Amperometric Biosensor Curves Using Hidden-Markov-Models. In: Van Gool, L. (eds) Pattern Recognition. DAGM 2002. Lecture Notes in Computer Science, vol 2449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45783-6_23
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DOI: https://doi.org/10.1007/3-540-45783-6_23
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