Member of the Research Training Group, 1.11.2010 - 31.10.2013,

PhD Defence 25.10.2013, Summa Cum Laude

(Joachim-Jungius-Förderpreis 2014 for an outstanding dissertation from the Gesellschaft der Förderer der Universität Rostock e.V.)

Uncertainty quantification in a computationally optimised volume conductor model for deep brain stimulation

welisa Post-Doc position 16.02.2015-30.09.2015

• Development of finite-element models of the human brain for the investigation of the mechanisms of action of neurostimulation methods such as Deep Brain Stimulation
• Modeling of electrical dynamics in neurons and biological neural networks
• Stochastic methods for uncertainty quantification and propagation for complex systems including Polynomial Chaos and sparse grids
• Robust optimization processes

Joachim-Jungius-Förderpreis 2014 for an outstanding dissertation from the Gesellschaft der Förderer der Universität Rostock e.V. link

Peer-reviewed Journal Papers:

SCHMIDT, C., FLISGEN, T. and VAN RIENEN, U., 2016. Efficient Computation of the Neural Activation during Deep Brain Stimulation for Dispersive Electrical Properties of Brain Tissue. IEEE Transactions on Magnetics, 52 (3), pp. 1-4, DOI: 10.1109/TMAG.2015.2498098.
SCHMIDT, C., WAGNER, S., BURGER, M., VAN RIENEN, U. and WOLTERS, C. H. 2015. Impact of Uncertain Head Tissue Conductivity in the Optimization of Trancranial Direct Current Stimulation for an Auditory Target.Journal of Neural Engineering, 12 (4), art. no. 046028, DOI: 10.1088/1741-2560/12/4/046028.
SCHMIDT, C., ZIMMERMANN, U. and VAN RIENEN, U. 2015. Modeling of an Optimized Electro-Stimulative Hip Revision System Under Consideration of Uncertainty in the Conductivity of Bone Tissue. IEEE Journal of Biomedical and Health Informatics, 19 (4), pp. 1321 - 1330. DOI: 10.1109/JBHI.2015.2423705.
PETERSEN, S., ZIMMERMANN, U., SCHMIDT, C., SCHWABE, L., WARKENTIN, M. and TEIPEL, S., 2014. Linking a Neural Mass Model with a 3D Model of the Human Brain to Reproduce EEG Signals. Biomedical Engineering/Biomedizinische Technik, 59 (3), pp. 231-240, DOI: 10.1515/bmt-2013-0062.
SCHMIDT, C., GRANT, P., LOWERY, M. and van RIENEN, U., 2013. Influence of Uncertainties in the Material Properties of Brain Tissue on the Probabilistic Volume of Tissue Activated. Biomedical Engineering, IEEE Transactions, 60 (5), pp. 1378-1387, doi: 10.1109/TBME.2012.2235835. (Cover Issue: IEEE Transaction on BIOMEDICAL ENGINEERING, May 13, V 60).
SCHMIDT, C. and VAN RIENEN, U., 2012. Modelling the Field Distribution in Deep Brain Stimulation: The Influence of Anisotropy of Brain Tissue. IEEE Transactions on Biomedical Engineering, 59 (6), pp. 1583 - 1592. DOI: 10.1109/TBME.2012.2189885.

Peer-reviewed Conference Papers:

SCHMIDT, C., FLISGEN, T. and VAN RIENEN, U., Jun 2015. Efficient Computation of the Neural Activation during Deep Brain Stimulation for Dispersive Electrical Properties of Brain Tissue. Conference on the Computation of Electromagnetic Fields (COMPUMAG), Montreal, CA, accepted.
HELLER, J., FLISGEN, T., SCHMIDT, C. and VAN RIENEN, U. Jun 2015. Uncertainty Quantification for Complex RF-Structures using the State-Space Concatenation Approach. 36th Progress in Electromagnetics Research Symposium (PIERS), Prague, CZ, accepted.
SCHMIDT, C., DUNN, E., LOWERY, M. and VAN RIENEN, U. 2015. Simulating the Therapeutic Effects of Deep Brain Stimulation in Rodents Using a Cortico-Basal Ganglia Network and Volume Conductor Model. Proceedings of the 7th International IEEE EMBS Conference on Neural Engineering (NER), Montpellier, FR, pp. 852 - 855, DOI: 10.1109/NER.2015.7146757.
SCHMIDT, C., ZIMMERMANN, U. and VAN RIENEN, U., Aug 2014. Uncertainty Quantification of the Optimal Stimulation Area in an Electro-Stimulative Hip Revision System. Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 824-827, DOI:10.1109/EMBC.2014.6943718.
SCHMIDT, C., FLISGEN, T., HELLER, J. and VAN RIENEN, U., Aug 2014. Comparison of Techniques for Uncertainty Quantification of Superconducting Radio Frequency Cavities. Proceedings of the International Conference on Electromagnetics in Advanced Applications (ICEAA), Palm Beach, Aruba, pp. 117-120, DOI:10.1109/ICEAA.2014.6903838.
HELLER, J., FLISGEN, T., SCHMIDT, C. and VAN RIENEN, U., Jun 2014. Quantification of Geometric Uncertainties in Single Cell Cavities for BESSY VSR Using Polynomial Chaos. 5th International Particle Accelerator Conference (IPAC), pp. 415-417, ISBN 978-3-95450-132-8
SCHMIDT, C. and VAN RIENEN, U., 2013. Single Frequency Approximation of Volume Conductor Models for Deep Brain Stimulation Using Equivalent  Circuits. BIOSIGNALS 2013, pp. 38-47, DOI:10.5220/000422370038004.
SCHMIDT, C. and VAN RIENEN, U., 2013. Modelling the probabilistic neural activation in deep brain stimulation: Influence of uncertainty in the parameters of the electrode-tissue-interface. Electromagnetic Theory (EMTS), Proceedings of 2013 URSI International Symposium on, pp. 365 - 368, 20-24 May 2013
APPALI, R., SCHMIDT, C. and VAN RIENEN, U., 2013. Some Uncertainty Aspects in Models for Neural Engineering. International Conference on Electromagnetics in Advanced Applications (ICEAA), pp. 289-292, DOI: 10.1109/ICEAA.2013.6632239.
SCHMIDT, C. and VAN RIENEN, U. Global Sensitivity Analysis of the Probabilistic Volume of Tissue Activated in a Volume Conductor Model for Deep Brain Stimulation. 6th International IEEE EMBS Conference on Neural Engineering (NER), pp. 1218-1221, DOI: 10.1109/NER.2013.6696159
SCHMIDT, C., VAN RIENEN, U., 2012. Quantification of uncertainties in brain tissue conductivity in a heterogeneous model of deep brain stimulation using a non-intrusive projection approach. 34th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp.4136-4139, DOI: 10.1109/EMBC.2012.6346877.

Conference Abstracts:

BÖHME, A., SCHMIDT, C. and VAN RIENEN, U. 2015. Partial Anisotropy in an Anatomically Realistic Volume Conductor Model of Deep Brain Stimulation in the Hemiparkinsonian Rat. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milano, Italy, accepted.
BÖHME, A., SCHMIDT, C. and VAN RIENEN, U. 2015. Numerical Simulation of the Electric Field Distribution of Deep Brain Stimulation in a Realistic Rat Brain Model. 5th International Symposium Interface Biology of Implants, Rostock.
SCHMIDT, C. and VAN RIENEN, U. 2015. Impact of Parametric Uncertainties in Computational Models for Deep Brain Stimulation. 11th Meeting of the German Neuroscience Society, Göttingen.
SCHMIDT, C. and VAN RIENEN, U., 2012. Sensitivity analysis of the field distribution in Deep Brain Stimulation with respect to the anisotropic conductivity of brain tissue. Proceedings BMT 2012 in Biomedical Engineering, 57. DOI: 10.1515/bmt-2012-4266.
SCHMIDT, C., PETERSEN, S. and VAN RIENEN, U., 2011. Influence of the Electric Double Layer on the Field Distribution in Deep Brain Stimulation. Biomedizinische Technik. 56 (1) pp. 103. DOI: 10.1515/bmt.2011.860.

Other Publications:

APPALI, R., BADSTÜBNER, K., GRÜNBAUM, A., KRÖGER, T., NISSEN, M., REIMER, T., SCHMIDT, C., WARMUTH, R., BAUMANN, W., BENECKER, R., GIMSA, J., GIMSA, U., MIX, E., PAU, H-W., VAN RIENEN, U.,SALOMON, R. and WEBER, I., 2012. Implantate zur Stimulation des Hörnervs und des tiefen Hirns. Traditio et Innovatio. Vol. 17(2). pp. 19-25.