Cristian Federico Pasluosta



Organisationseinheit


Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)
Molekular-Neurologische Abteilung in der Neurologischen Klinik


Preise / Auszeichnungen


2015 : Travel Award
2008 : Ph.D. Student Award for Outstanding Academic Achievement in the Biomedical Engineering Program
2007 : Brooks Scholarship


Mitarbeit in Forschungsprojekten


(E-Home-Center):
MotionLab@Home: Multimodales Bewegungsanalysesystem zum Therapiemonitoring
Prof. Dr. Björn Eskofier
(01.10.2015 - 31.12.2016)

EFIMoves: EFI Moves: Individualized Diagnosis and Treatment in motion
Prof. Dr. Jochen Klucken; Prof. Dr. Jürgen Winkler
(01.01.2014 - 31.12.2017)


Publikationen (Download BibTeX)

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Hannink, J., Kautz, T., Pasluosta, C.F., Barth, J., Schülein, S., Gassmann, K.-G.,... Eskofier, B. (2018). Mobile Stride Length Estimation with Deep Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics, 22(2), 354 - 362. https://dx.doi.org/10.1109/JBHI.2017.2679486
Timotius, I., Canneva, F., Minakaki, G., Pasluosta, C.F., Moceri, S., Casadei, N.,... Eskofier, B. (2018). Dynamic footprint based locomotion sway assessment in α-synucleinopathic mice using Fast Fourier Transform and Low Pass Filter. Journal of Neuroscience Methods, 296, 1-11. https://dx.doi.org/10.1016/j.jneumeth.2017.12.004
Timotius, I., Canneva, F., Minakaki, G., Pasluosta, C.F., Moceri, S., Casadei, N.,... Eskofier, B. (2018). Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis. Data in Brief, 17, 189-193. https://dx.doi.org/10.1016/j.dib.2017.12.067
Pasluosta, C.F., Steib, S., Klamroth, S., Gaßner, H., Goßler, J., Hannink, J.,... Eskofier, B. (2017). Acute Neuromuscular Adaptations in the Postural Control of Patients with Parkinson’s disease after Perturbed Walking. Frontiers in Aging Neuroscience, 9, 316. https://dx.doi.org/10.3389/fnagi.2017.00316
Kautz, T., Eskofier, B., & Pasluosta, C.F. (2017). Generic performance measure for multiclass-classifiers. Pattern Recognition, 68(8), 111 - 125. https://dx.doi.org/10.1016/j.patcog.2017.03.008
Hannink, J., Kautz, T., Pasluosta, C.F., Gaßmann, K.-G., Klucken, J., & Eskofier, B. (2017). Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics, 21(1), 85--93. https://dx.doi.org/10.1109/JBHI.2016.2636456
Steib, S., Klamroth, S., Gaßner, H., Pasluosta, C.F., Eskofier, B., Winkler, J.,... Pfeifer, K. (2017). Perturbation during treadmill training improves dynamic balance and gait in Par-kinson’s disease: A single-blind randomized controlled pilot trial. Neurorehabilitation and Neural Repair, 31(8), 758-768. https://dx.doi.org/10.1177/1545968317721976
Steib, S., Klamroth, S., Gaßner, H., Pasluosta, C.F., Eskofier, B., Winkler, J.,... Pfeifer, K. (2017). Laufbandtraining mit Perturbation verbessert Gang- und Gleichgewichtskontrolle bein Parkinsonpatienten: Eine randomisiert-kontrollierte Pilotstudie. In Schwirtz, A., Mess, F., Demetriou, Y. & Senner, V. (Hrsg.) (Eds.), Innovation & Technologie im Sport. Abstractband des 23. dvs-Hochschultags vom 13. bis 15. September 2017 in München (pp. 263). Hamburg: Feldhaus.
Kluge, F., Gaßner, H., Hannink, J., Pasluosta, C.F., Klucken, J., & Eskofier, B. (2017). Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters. Sensors, 17(7), 1522. https://dx.doi.org/10.3390/s17071522
Gaßner, H., Schlachetzki, J., Marxreiter, F., Kohl, Z., Barth, J., Goßler, J.,... Klucken, J. (2016). Wearable sensors provide objective gait parameters correlating to clinical scores in Parkinson’s disease. Paper presentation at 89th Congress of the Deutschen Gesellschaft für Neurologie mit Fortbildungsakademie (DGN), Mannheim.

Zuletzt aktualisiert 2016-22-07 um 02:01