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Dr.-Phil. Cristian Pasluosta

Pasluosta

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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
  • Patrick Kiele: Ph.D. candidate
  • Thomas Krauskopf: Ph.D. candidate
  • Britta Meyer: Master student
  • Frederik Pelke: Bachelor student
  • Laura Heiler: Bachelor student
  •  Katharina Fuchs: Research assistant
  • Marvin Beusterien: 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] Ramos Claret, C, Herget, G W, Kouba, L, Wiest, D, Adler, J, von Tschamer, V, Stieglitz, T, Pasluosta, C. Neuromuscular adaptions and sensorimotor integration following a unilateral transfemoral amputation, Journal of NeuroEngineering and Rehabilitation, 2019, 16.
 
[2] Pasluosta, C, Kiele, P, Stieglitz, T. Paradigms for Restoration of Somatosensory Feedback via Stimulation of the Peripheral Nervous System, Clinical Neurophysiology, 2018, 129; pp. 851-862.
 
[3] Kautz, T, Eskofier, B M, Pasluosta, C. Generic Performance Measure for Multiclass-Classifiers, Pattern Recognition, 2017, 68; pp. 111-125.
 
[4] Pasluosta, C, Gassner, H, Winkler, J, Klucken, J, Eskofier, B M. An Emerging Era in the Management of Pakinson´s disease: Wearable Technologies and the Internet of Things, IEEE Journal of Biomed Health Inform. 2015, 19(6); pp. 1873-81.
 
[5] Barth, J, Oberndorfer, C, Pasluosta, C, Schülein, S, Gassner, H, Reinfelder, S, Kugler, P, Schuldhaus, D, Winkler, J, Klucken, J, Eskofier, B M. Stride Segmentation During Free Walk Movements Using Multi-dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data, Sensors, 2015, 15(3); pp. 6419-40.
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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