Folgen
Christina Salchow-Hömmen
Christina Salchow-Hömmen
Charite Universitätsmedizin Berlin / Technische Universität Berlin
Bestätigte E-Mail-Adresse bei tu-berlin.de
Titel
Zitiert von
Zitiert von
Jahr
A tangible solution for hand motion tracking in clinical applications
C Salchow-Hömmen, L Callies, D Laidig, M Valtin, T Schauer, T Seel
Sensors 19 (1), 208, 2019
532019
Modular finger and hand motion capturing system based on inertial and magnetic sensors
M Valtin, C Salchow, T Seel, D Laidig, T Schauer
Current Directions in Biomedical Engineering 3 (1), 19-23, 2017
262017
Rod driven frequency entrainment and resonance phenomena
C Salchow, D Strohmeier, S Klee, D Jannek, K Schiecke, H Witte, ...
Frontiers in human neuroscience 10, 413, 2016
242016
Emerging portable technologies for gait analysis in neurological disorders
C Salchow-Hömmen, M Skrobot, MCE Jochner, T Schauer, AA Kühn, ...
Frontiers in Human Neuroscience 16, 768575, 2022
222022
A new semi-automatic approach to find suitable virtual electrodes in arrays using an interpolation strategy
C Salchow, M Valtin, T Seel, T Schauer
European journal of translational myology 26 (2), 2016
152016
Rodent models for gait network disorders in Parkinson's disease–a translational perspective
N Wenger, A Vogt, M Skrobot, EL Garulli, B Kabaoglu, ...
Experimental Neurology 352, 114011, 2022
122022
User-centered practicability analysis of two identification strategies in electrode arrays for FES induced hand motion in early stroke rehabilitation
C Salchow-Hömmen, N Jankowski, M Valtin, L Schönijahn, S Böttcher, ...
Journal of NeuroEngineering and Rehabilitation 15, 1-19, 2018
102018
SparseIMU: Computational design of sparse IMU layouts for sensing fine-grained finger microgestures
A Sharma, C Salchow-Hömmen, VS Mollyn, AS Nittala, MA Hedderich, ...
ACM Transactions on Computer-Human Interaction 30 (3), 1-40, 2023
92023
Algorithms for automated calibration of transcutaneous spinal cord stimulation to facilitate clinical applications
C Salchow-Hömmen, T Schauer, P Müller, AA Kühn, US Hofstoetter, ...
Journal of Clinical Medicine 10 (22), 5464, 2021
82021
User-centred design as an important component of technological development: Improving stroke rehabilitation systems with user acceptance and satisfaction surveys
N Jankowski, L Schönijahn, C Salchow, E Ivanova, M Wahl
Current Directions in Biomedical Engineering 3 (1), 69-73, 2017
82017
Real-time detection of freezing motions in Parkinson's patients for adaptive gait phase synchronous cueing
A Dvorani, V Waldheim, MCE Jochner, C Salchow-Hömmen, ...
Frontiers in Neurology 12, 720516, 2021
72021
Characterization of optimal electrode configurations for transcutaneous spinal cord stimulation
C Salchow-Hömmen, C Dikau, P Müller, U Hofstötter, A Kühn, T Schauer, ...
52019
Development of a feedback-controlled hand neuroprosthesis: FES-supported mirror training
C Salchow, M Valtin, T Seel, T Schauer
Proceedings of the AUTOMED Workshop, Wismar, Germany, 22-23, 2016
52016
Adaptive hand neuroprosthesis using inertial sensors for real-time motion tracking
C Salchow-Hömmen, A Pedrocchi, T Keller
Technische Universität Berlin, 2020
42020
Inertial sensor based detection of freezing of gait for on-demand cueing in Parkinson’s disease
A Dvorani, MCE Jochner, T Seel, C Salchow-Hömmen, J Meyer-Ohle, ...
IFAC-PapersOnLine 53 (2), 16004-16009, 2020
32020
Intention recognition for FES in a grasp-and-release task using volitional EMG and inertial sensors
C Salchow, A Dorn, M Valtin, T Schauer
Current Directions in Biomedical Engineering 3 (2), 161-165, 2017
32017
Automatic control of grasping strength for functional electrical stimulation in forearm movements via electrode arrays
C Salchow-Hömmen, T Thomas, M Valtin, T Schauer
at-Automatisierungstechnik 66 (12), 1027-1036, 2018
22018
On-Demand Gait-Synchronous Electrical Cueing in Parkinson's Disease using Machine Learning and Edge Computing-A Pilot Study
A Dvorani, C Wiesener, C Salchow-Hömmen, M Jochner, L Spieker, ...
IEEE Open Journal of Engineering in Medicine and Biology, 2024
2024
Targeting Transcutaneous Spinal Cord Stimulation Using a Supervised Machine Learning Approach Based on Mechanomyography
EL Spieker, A Dvorani, C Salchow-Hömmen, C Otto, K Ruprecht, ...
Sensors 24 (2), 634, 2024
2024
Machine-learning based evaluation of mechanic muscle responses elicited by tSCS
EL Spieker, C Wiesener, A Dvorani, C Salchow-Hömmen, N Wenger, ...
Proceedings on Automation in Medical Engineering 2 (1), 729-729, 2023
2023
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20