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Dr.-Phil. Cristian Pasluosta

Pasluosta

Slider Pasluosta

Research

Dr. Pasluosta leads the Physiological Control System Group. Dr. Cristian Pasluosta´s research program focuses on applying pattern recognition and machine learning techniques for human motion analysis. His research has an emphasis on the recovery of motor functions and sensory feedback in amputee populations by stimulating the peripheral nervous system. His research program is divided into three major areas:

1. Analysis of the dynamics of neural and muscular signals in amputees and patients with neurological disorders.

2. Study of balance and postural control mechanisms in amputees and patients with neurological disorders.

3. Designing stimulation paradigms to restore partial motor functions and sensory feedback using neural interfaces.

CV

  • 2017-now Group Leader, Laboratory for Biomedical Microtechnology (IMTEK), Freiburg
  • 2014-2016 Postdoctoral Researcher, Pattern Recognition Laboratory, Friedrich-Alexander-University Erlangen-Nürnberg
  • 2011-2014 Postdoctoral Research Fellow, Lerner Research Institute, Cleveland Clinic, Cleveland, USA
  • 2011-2011 Research Associate, Department of Health Informatics and Information Management, Louisiana Tech University, Ruston, USA
  • 2006-2010 Ph.D. degree in Biomedical Engineering, Louisiana Tech University, Ruston, USA
  • 2008-2010 Master degree in Engineering, Louisiana Tech University, Ruston, USA
  • 2006-2006 Design Engineer, Lockheed Martin Aircraft Argentina, Córdoba, Argentina
  • 2000-2005 Bachelor degree in Electrical Engineering, Universidad Nacional de Córdoba, Argentina
GroupMembers
  • Thomas Krauskopf: Ph.D. candidate
  • Frederik Pelke: Master student
  • Laura Heiler: Master student
  • Marvin Beusterien: Master student
  • Britta Meyer: Research assistant
CurrentProjects
  • Intermuscular coupling and center of pressure adjustments during balance control in lower-limb amputees
  • Real-time visual feedback of load distribution asymmetry in lower-limb amputees
  • Corticomuscular coupling during upright balance in lower-limb amputees
  • Intelligent orthotics and prosthetics for an improved human-technology interaction (INOPRO)
Funding
  • B. Braun-Stiftung
  • Wissenschaftliche Gesellschaft Freiburg
Collaborators
  • Prof. Vinzenz von Tscharner (University of Calgary)
  • Dr. Brian Davis (Cleveland State University)
  • Prof. Dr. Georg W. Herget (Uniklinikum Freiburg)
  • Prof. Dr. Tonio Ball (Uniklinikum Freiburg)
  • Prof. Dr. Bjoern Eskofier (Friedrich-Alexander-Universität)
  • Prof. Dr. Jochen Klucken (Uniklinikum Erlangen)
  • Dr. Ines Bersch-Porada (Swiss Paraplegic Center)
  • Sanitätshaus Pfänder Freiburg
Publications
 
Five most important publications:
 
[1] Krauskopf, T, Lauck, T, Klein, L, Mueller, M, Von Tscharner, V, Mehring, C, Herget, GW, Stieglitz, T, Pasluosta, C. Unilateral transfemoral amputees exhibit altered strength and dynamics of muscular co-activation modulated by visual feedback, Journal of Neural Engineering, 2022;19(1):016024.
 
[2] Pasluosta, C, Kiele, P, Čvančara, P, Micera, S, Aszmann, OC, Stieglitz, T. Bidirectional bionic limbs: A perspective bridging technology and physiology, Journal of Neural Engineering, 2022;19(1):013001.
 
[3] Fuchs, K, Krauskopf, T, Lauck, TB, Klein, L, Mueller, M, Herget, GW, Von Tscharner, V, Stutzig, N, Stieglitz, T, Pasluosta, C. Influence of augmented visual feedback on balance control in unilateral transfemoral amputees, Frontiers in Neuroscience, 2021, 15: 727527.
 
[4] Ramos Claret, C, Herget, GW, Kouba, L, Wiest, D, Adler, J, Von Tscharner, V, Stieglitz, T, Pasluosta, C.  Neuromuscular adaptations and sensorimotor integration following a unilateral transfemoral amputation, Journal of NeuroEngineering and Rehabilitation, 2019, 16.
 
[5] Pasluosta, C, Kiele, P and Stieglitz, T. Paradigms for Restoration of Somatosensory Feedback via Stimulation of the Peripheral Nervous System, Clinical Neurophysiology, 2018, 129; pp. 851- 862.
 
Contact
Dr. Cristian Pasluosta
Research Group Leader
E-Mail: cristian.pasluosta@imtek.uni-freiburg.de
Telephone: +49 (0)761 203 7251
 
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