| An adaptive spatial filter for user-independent single trial detection of event-related potentials H Woehrle, MM Krell, S Straube, SK Kim, EA Kirchner, F Kirchner IEEE Transactions on Biomedical Engineering 62 (7), 1696-1705, 2015 | 67 | 2015 |
| pySPACE—a signal processing and classification environment in Python MM Krell, S Straube, A Seeland, H Wöhrle, J Teiwes, JH Metzen, ... Frontiers in Neuroinformatics 7, 40, 2013 | 60 | 2013 |
| Modular Design and Decentralized Control of the Recupera Exoskeleton for Stroke Rehabilitation S Kumar, H Wöhrle, M Trampler, M Simnofske, H Peters, M Mallwitz, ... Applied Sciences 9 (4), 626, 2019 | 51 | 2019 |
| On the applicability of brain reading for predictive human-machine interfaces in robotics EA Kirchner, SK Kim, S Straube, A Seeland, H Wöhrle, MM Krell, M Tabie, ... PLoS One 8 (12), e81732, 2013 | 51 | 2013 |
| A hybrid FPGA-based system for EEG-and EMG-based online movement prediction H Wöhrle, M Tabie, SK Kim, F Kirchner, EA Kirchner Sensors 17 (7), 1552, 2017 | 47 | 2017 |
| A survey on modularity and distributivity in series-parallel hybrid robots S Kumar, H Wöhrle, J de Gea Fernández, A Müller, F Kirchner Mechatronics 68, 102367, 2020 | 42 | 2020 |
| An intelligent man-machine interface—multi-robot control adapted for task engagement based on single-trial detectability of p300 EA Kirchner, SK Kim, M Tabie, H Wöhrle, M Maurus, F Kirchner Frontiers in human neuroscience 10, 291, 2016 | 40 | 2016 |
| Towards operator monitoring via brain reading–an EEG-based approach for space applications EA Kirchner, H Woehrle, C Bergatt, SK Kim, JH Metzen, D Feess, ... Proceedings of the 10th international symposium on artificial intelligence …, 2010 | 29 | 2010 |
| Online movement prediction in a robotic application scenario A Seeland, H Woehrle, S Straube, EA Kirchner 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 41-44, 2013 | 28 | 2013 |
| Recupera-reha: Exoskeleton technology with integrated biosignal analysis for sensorimotor rehabilitation EA Kirchner, N Will, M Simnofske, LV Benitez, B Bongardt, MM Krell, ... Technische Unterstützungssysteme, die die Menschen wirklich wollen, 535, 2016 | 22 | 2016 |
| A Multimodal Brain-arm Interface for Operation of Complex Robotic Systems and Upper Limb Motor Recovery. M Folgheraiter, EA Kirchner, A Seeland, SK Kim, M Jordan, H Woehrle, ... BIODEVICES, 150-162, 2011 | 21 | 2011 |
| Learning in compressed space A Fabisch, Y Kassahun, H Wöhrle, F Kirchner Neural networks 42, 83-93, 2013 | 18 | 2013 |
| A framework for high performance embedded signal processing and classification of psychophysiological data H Woehrle, J Teiwes, E Kirchner, F Kirchner APCBEE procedia 7, 60-66, 2013 | 13 | 2013 |
| Online classifier adaptation for the detection of p300 target recognition processes in a complex teleoperation scenario H Woehrle, EA Kirchner Physiological Computing Systems: First International Conference, PhyCS 2014 …, 2014 | 12 | 2014 |
| New one-class classifiers based on the origin separation approach MM Krell, H Wöhrle Pattern Recognition Letters 53, 93-99, 2015 | 11 | 2015 |
| Reconfigurable hardware-based acceleration for machine learning and signal processing H Woehrle, F Kirchner Formal Modeling and Verification of Cyber-Physical Systems: 1st …, 2015 | 10 | 2015 |
| A Dataflow-based Mobile Brain Reading System on Chip with Supervised Online Calibration-For Usage without Acquisition of Training Data H Woehrle, J Teiwes, MM Krell, EA Kirchner, F Kirchner International Congress on Neurotechnology, Electronics and Informatics 2, 46-53, 2013 | 10 | 2013 |
| Memory and processing efficient formula for moving variance calculation in EEG and EMG signal processing MM Krell, M Tabie, H Wöhrle, EA Kirchner International Congress on Neurotechnology, Electronics and Informatics 2, 41-45, 2013 | 9 | 2013 |
| CAEMO-A Flexible and scalable high performance matrix algebra coprocessor for embedded reconfigurable computing systems H Woehrle, F Kirchner Microprocessors and Microsystems 56, 47-63, 2018 | 8 | 2018 |
| Prediction of Movements by Online Analysis of Electroencephalogram with Dataflow Accelerators. H Wöhrle, J Teiwes, M Tabie, A Seeland, EA Kirchner, F Kirchner NEUROTECHNIX, 31-37, 2014 | 8 | 2014 |
Frank KirchnerProfessor für Robotik, Universität Bremen, DFKIVerified email at dfki.de
