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Christina Salchow-Hömmen

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Christina Salchow-Hömmen

Technische Universität Berlin
Fachgebiet Regelungssysteme
Sekretariat EN11
Einsteinufer 17
D-10587 Berlin
Germany

Office: EN 229 (Elektrotechnik Neubau)
Phone: +49 (0)30 314-24893
Fax: +49 (0)30 314-21137
Email: Salchow@control.TU-berlin.de


Brief Biography

I studied Biomedical Engineering at the Technische Universität Ilmenau, Germany, from 2008 to 2014. During my studies, I completed an internship as well as my bachelor thesis at the Washington University in St. Louis, USA. Since 10/2014, I am associated with the Control Systems Group headed by Prof. Dr.-Ing. Jörg Raisch at the Technische Universität Berlin working towards my PhD thesis in electrical engineering. Since 07/2018, I have been researching a new therapy for improving gait disturbances in Parkinson's disease at Charite Universitätsmedizin Berlin in cooperation with the Control Systems Group.


Research

Since 2014, I focus on neurorehabilitation and therapy via electrical stimulation for stroke patients, spinal cord injury, Morbus Parkinson patients and other diseases. My PhD thesis addresses feedback control strategies for neuroprostheses based on functional electrical stimulation for rehabilitation of the upper limbs. I was involved in the innovation cluster BeMobil.
Besides, I am interested in neuroscience, machine learning, and compressive sampling.


Teaching

Publications

Journal Articles

Salchow-Hömmen, C., Callies, L., Laidig, D., Valtin, M., Schauer, T., Seel, T. A Tangible Solution for Hand Motion Tracking in Clinical Applications. Sensors, 19 page 208, 2019.
Salchow-Hömmen, C., Jankowski, N., Valtin, M., Schönijahn, L., Böttcher, S., Dähne, F., Schauer, T. User-centered practicability analysis of two identification strategies in electrode arrays for FES induced hand motion in early stroke rehabilitation. J Neuroeng Rehabil, 15 page 123, 2018.
Salchow-Hömmen, C., Thomas, T., Valtin, M., Schauer, T. Automatic control of grasping strength for functional electrical stimulation in forearm movements via electrode arrays. at-Autom, 66 (12):1027–1036, 2018.
Salchow, C., Dorn, A., Valtin, M., Schauer, T. Intention recognition for FES in a grasp-and-release task using volitional EMG and inertial sensors. Current Directions in Biomedical Engineering, 3 (2):161–165, 2017.
Valtin, M., Salchow, C., Seel, T., Laidig, T., Schauer, T. Modular finger and hand motion capturing system based on inertial and magnetic sensors. Current Directions in Biomedical Engineering, 3 (1):19–23, 2017.
Jankowski, N., Schönijahn, L., Salchow, C., Ivanova, E., Wahl, M. User-centred design as an important component of technological development. Current Directions in Biomedical Engineering, 3 (1):69–73, 2017.
Salchow, C., Strohmeier, D., Klee, S., Jannek, D., Schiecke, K., Witte, H., Nehorai, A., Haueisen, J. Rod Driven Frequency Entrainment and Resonance Phenomena. Frontiers in Human Neuroscience, 10 (413) 2016.
Salchow, C., Valtin, M., Seel, T., Schauer, T. A new semi-automatic approach to find suitable virtual electrodes in arrays using an interpolation strategy. European Journal of Translational Myology, 26 (2) 2016.

Conference Articles and Abstracts

T. Thomas, C. Salchow, M. Valtin, T. Schauer. Automatic real-time adaptation of electrode positions for grasping with FES during forearm movements. In Automed Workshop, Villingen-Schwenningen, March 2018.
C. Salchow, M. Valtin, N. Jankowski, T. Schauer. Semi-Automatic Virtual Electrode Identification for Electrode Arrays in Clinical Practice. In IFESS conference at Rehab Week, London, UK, July 2017.
C. Salchow, M. Valtin, T. Seel, T. Schauer. Development of a Feedback-Controlled Hand Neuroprosthesis: FES-Supported Mirror Training. In Automed Workshop, Wismar, September 2016.
U. Graichen, C. Salchow, D. Strohmeier, P. Fiedler, R. Eichardt, J. Haueisen. Spatial harmonics for compressive sensing in electroencephalography. In World Congress on Medical Physics and Biomedical Engineering, Toronto, June 2015.
C. Salchow, D. Strohmeier, S. Klee, H. Witte, J. Haueisen. Rod driven alpha frequency entrainment and resonance. In Workshop Innovative Verarbeitung bioelektrischer und biomagnetischer Signale (BBS) 2014, April 2014.
J. Haueisen, C. Salchow, D. Strohmeier, S. Klee, D. Jannek, H. Witte, A. Nehorai. Low intensity intermittent photic stimulation. In 30th International Congress of Clinical Neurophysiology of the IFCN (ICCN 2014), Berlin, March 2014.

Supervised Theses

Leonie Callies. Development and Evaluation of Quaternion-based Methods for Hand Posture Estimation via Inertial Sensors. Master Thesis, TU Berlin, Germany, 2018.
Andreas Dorn. Sensor Fusion for Intention Recognition and FES-Control in a Hand Neuroprosthesis. Master Thesis, TU Berlin, Germany, 2017.
Robert Jirasek. Entwicklung und Evaluierung eines automatisierten Identifikationsverfahrens zur Regelung einer Handneuroprothese. Master Thesis, TU Berlin, Germany, 2016.
Humam Smadi. Optische Bewegungsanalyse und entkoppelte Regelung mit Einzelelektroden für eine Handneuroprothese. Bachelor Thesis, TU Berlin, Germany, 2016.
Aimee Bias. Design and Implementation of a Controlled, Manual Array Electrode Element Search, with Virtual Interface. Final Year Project, TU Berlin, Germany, 2016.

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