Wissenschaftliche Mitarbeiterin


Foto von Elisabeth Jensen

Dr. Ph.D. Elisabeth Jensen

Technische Universität München

Munich School of Robotics and Machine Intelligence (MSRM)

Postadresse

Postal:
Heßstr. 134
80797 München

Berufserfahrung

08/18 bis heute: Wissenschaftliche Mitarbeiterin, Munich School for Robotics and System Intelligence, TUM

09/16 bis 04/18: Leiterin der Forschung und Entwicklung, evalu GmbH, München, Deutschland

01/16 bis 09/17: Wissenschaftliche Mitarbeiterin, Novel GmbH, München, Deutschland

01/16 bis 05/18: Wissenschaftliche Auftragnehmerin, Mayo Clinic, Rochester, MN, USA

Ausbildung

Doctor of Philosophy (Ph.D.) in Biomedical Engineering, Mayo Graduate School, Rochester, MN, USA

Promotionsthema: In Vivo Quantification of Three Dimensional Volumetric Strain in the Human Tibialis Anterior

Doktorvater: Dr. Kenton Kaufman

Bachelor of Science (B.S.) in Mechanical Engineering, Montana State University, Bozeman, MT, USA

Bachelor of Arts (B.A.) in Modern Languages and Literature, German, Montana State University, Bozeman, MT, USA

Publikationen

1. Jensen, E, Morrow, D, Felmlee, J, Kaufman, K. Error Analysis of Cine Phase Contrast MRI Velocity Measurements used for Strain Calculation. Journal of Biomechanics. 2015 Jan 2; 48(1):95-103.

2. Jensen, E, Lugade, V, Crenshaw, J, Miller, E, Kaufman, K. A Principal Component Analysis Approach to Correcting the Knee Flexion Axis during Gait. Journal of Biomechanics. 2016 June 4; 49(9): 1698-704.

3. Jensen, E, Morrow, D, Murthy, N, Felmlee, J, Kaufman, K. Method of Quantifying Three Dimensional Strain Distribution in Skeletal Muscle Using Cine Phase Contrast MRI. Physiological Measurement. Physiological Measurement. 2015 Dec; 36(12): N135-46.

4. Jensen, E, Morrow, D, Murthy, N, Felmlee, J, Kaufman, K. Characterization of Three Dimensional Volumetric Strain Distribution during Passive Tension of the Human Tibialis Anterior. Journal of Biomechanics. 2016 Oct 3; 49(14): 3430-3436.

5. Go, S*, Jensen, E*, O’Connor, S, Evertz, L, Morrow, D, Ward, S, Lieber, R, Kaufman, K. Design Considerations of a Fiber Optic Pressure Sensor Protective Housing for Intramuscular Pressure Measurements. Annals of Biomedical Engineering. 2017 Mar; 45(3): 739-746.

6. Seiberl, W, Jensen, E, Merker, J, Leitel, M, Schwirtz, A. Accuracy and precision of loadsol® insole force-sensors for the quantification of ground reaction force-based biomechanical running parameters. European Journal of Sports Science. 2018 Sept; 18(8):1100-1109.

Forschungsinteressen

  • Intelligente Neuroprothesen
  • Wearable Sensorik für telemedizinische Anwendung
  • Bio- bzw neuromechanische Modellierung