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Christina Salchow-Hömmen

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Dr.-Ing. Christina Salchow-Hömmen

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

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


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. In 2014, I started my PhD with the Control Systems Group headed by Prof. Dr.-Ing. Jörg Raisch at the Technische Universität Berlin. In 2020, I defended my dissertation entitled "Adaptive hand neuroprosthesis using inertial sensors for real-time motion tracking", which had been evaluated by Prof. Alessandra Pedrocchi, Dr. Thierry Keller, and Prof. Dr. Jörg Raisch. Since 07/2018, I am researching new interventions with electrical stimulation (e.g., transcutaneous spinal cord stimulation) for various neurological disorders, such as Mb. Parkinson, or Multiple Sclerosis, at Charité-Universitätsmedizin Berlin together with Dr. med. univ. Nikolaus Wenger, PhD, and Prof. Dr. med. Andrea Kühn. Furthermore, I am developing motion tracking techniques with body-worn sensors for objective assessment and real-time control of motion in cooperation with the Control Systems Group. Since 2021, I hold an external lectureship at the TU Berlin.



Journal Articles

Salchow-Hömmen, C., Schauer, T., Müller, P., Kühn, A. A., Hofstoetter, U. S., Wenger, N.. Algorithms for Automated Calibration of Transcutaneous Spinal Cord Stimulation to Facilitate Clinical Applications. Journal of Clinical Medicine, 10 page 5464, 2021.
Dvorani, A., Jochner, M. C. E., Seel, T., Salchow-Hömmen, C., Meyer-Ohle, J., Wiesener, C., Voigt, H., Kühn, A., Wenger, N., Schauer, T.. Inertial Sensor Based Detection of Freezing of Gait for On-Demand Cueing in Parkinson’s Disease. 53 (2):16004–16009, 2020. 21st IFAC World Congress, Berlin, Germany.
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

C. Salchow-Hömmen, J. Meyer-Ohle, M. Jochner, A. A. Kühn, N. Wenger. Automatic Segmentation of a Freezing Provoking Task in Parkinson’s Disease Using Inertial Sensors. In DGBMT, October 2021.
C. Salchow-Hömmen, P. Müller, C. Wiesener, T. Schauer, A. A. Kühn, N. Wenger. Modulation of the Motor System by Transcutaneous Spinal Cord Stimulation. In Workshop Innovative processing of bioelectric and biomagnetic signals (BBS), March 2020.
A. Dvorani, M. C. E. Jochner, C. Salchow-Hömmen, A. A. Kühn, N. Wenger, T. Schauer. Is there a preferred foot side for IMU-based freezing of gait detection in Parkinson's disease?. In Automed Workshop, March 2020.
C. Salchow-Hömmen, C. Dikau, P. Müller, U. Hofstötter, A. Kühn, T. Schauer, N. Wenger. Characterization of Optimal Electrode Configurations for Transcutaneous Spinal Cord Stimulation. In IFESS conference at Rehab Week, Toronto, ON, Canada, June 2019.
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

Aiko Johannes Weber. Klassifikation von Freezing of Gait Subtypen bei Mb. Parkinson anhand von Inertialsensoren und Supervised Machine Learning. Bachelor Thesis, Charité-Universitätsmedizin Berlin & TU Berlin, Germany, 2021.
Johannes Bernd Lipka. Development of a standalone application for automatic analysis of gait-related electromyography. Bachelor Thesis, Charité-Universitätsmedizin Berlin & TU Berlin, Germany, 2021.
Till Thomas. Sensor based assessment of gait and balance parameters as outcome measure of tSCS therapy for Morbus Parkinson. Master Thesis, Charité-Universitätsmedizin Berlin & TU Berlin, Germany, 2020.
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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