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Heinrich, Simon

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      • Capobianco, Giuseppe
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Heinrich, Simon

Simon Heinrich, M. Sc.

Simon Heinrich
Simon Heinrich
doctoral candidate

Department of Mechanical Engineering
Institute of Applied Dynamics (LTD, Prof. Leyendecker)

Room: Room 01.013
Immerwahrstrasse 1
D-91058 Erlangen
  • Phone number: +49 9131 85-61014
  • Fax number: +49 9131 85-61011
  • Email: simon96.heinrich@fau.de
  • Website: https://www.ltd.tf.fau.de

curriculum vitae

  • 2015 – 2019 B.Eng. in Mechanical Engineering, Ostbayerische Technische Hochschule Regensburg
  • 2019 – 2021 M.Sc. in Mechanical Engineering, Friedrich-Alexander Universität Erlangen-Nürnberg
  • 2021-   doctoral candidate, Institute of Applied Dynamics, Friedrich-Alexander Universität Erlangen-Nürnberg

publications

reviewed journal publications

No publications found.

conferences and proceedings

2022

  • Coppers B., Heinrich S., Phutane U., Berisha D., Tascilar K., Kleyer A., Simon D., Bräunig J., Penner J., Vossiek M., Schönau J., Bayat S., Schett G., Leyendecker S., Liphardt AM.:
    Feasibility of using optoelectronic measurement of hand movement for characterizing hand function in rheumatoid arthritis
    75th EULAR (European Alliance of Associations for Rheumatology), European Congress of Rheumatology 2022 (Copenhagen, 2022-06-01 - 2022-06-04)
  • Coppers B., Heinrich S., Phutane U., Berisha D., Tascilar K., Kleyer A., Simon D., Bräunig J., Penner J., Vossiek M., Schönau V., Bayat S., Schett G., Leyendecker S., Liphardt AM.:
    Evaluation of marker-based motion capturing to charactherize basic hand movements in rheumatic patients
    27th Congress of the European Society of Biomechanics (Porto, 2022-06-26 - 2022-06-29)
  • Coppers B., Phutane U., Berisha D., Tascilar K., Kleyer A., Simon D., Bräunig J., Penner J., Vossiek M., Schönau V., Heinrich S., Bayat S., Schett G., Leyendecker S., Liphardt AM.:
    Establishment and evaluation of a sensor-based method to assess hand function in patients with rheumatoid arthritis
    conference, World Biomechanics Congress 2022 (Taipei (online), 2022-07-10 - 2022-07-14)
  • Heinrich S., Leyendecker S.:
    Analysis of Degenerative Motion Impairments
    through Integration of Empathokinaesthetic Sensor
    Data in Biomechanical Human Models

    conference, EmpkinS GAP IX | Workshop (Erlangen, 2022-02-01)
  • Heinrich S., Phutane U., Coppers B., Liphardt AM., Leyendecker S.:
    Towards optimal control grasping simulations with the full hand
    conference, 9th GACM Colloquium on Computational Mechanics - for Young Scientists from Academia and Industry (Essen, 2022-09-21 - 2022-09-23)
  • Heinrich S., Phutane U., Penner J., Coppers B., Liphardt AM., Leyendecker S.:
    Comparison of different approaches for the personalization of a kinematic hand model
    conference, World Biomechanics Congress 2022 (Taipei (Online), 2022-07-10 - 2022-07-14)
    URL: https://www.wcb2022.com
  • Scheiterer ES., Heinrich S., Leyendecker S.:
    Considering epistemic uncertainty in optical marker based joint angle calculation during human gait
    conference, WCCM-APCOM 15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics (Yokohama, online, 2022-07-31 - 2022-08-05)

2021

  • Michaelis J., Reiher I., Heinrich S., Coppers B., Schett G., Kleyer A., Elewaut D., De Craemer M., Leyendecker S., Liphardt AM.:
    CyberGlove for clinical use?
    FAU-Networking Night Medizintechnik (Erlangen, 2021-10-27 - 2021-10-27)

further publications

research

  • Analysis of Degenerative Motion Impairments through Integration of Empathokinaesthetic Sensor Data in Biomechanical Human Models (C04)

    (Third Party Funds Group – Sub project)

    Overall project: Empatho-Kinaesthetic Sensor Technology
    Term: 2021-07-01 - 2025-06-30
    Funding source: DFG / Sonderforschungsbereich (SFB)
    URL: https://www.empkins.de/
    Abstract
    The focus of the work program is on the best possible integration of empathokinaesthetic sensor data in biomechanical models. Concretely, degenerative motion impairments of the hand are recorded by EmpkinS and reference sensors and the date is integrated optimally into the mathematical formulation of the optimal control problem, depending on the data type, measurement frequency and uncertainty, etc. Through movement tracking as well as via the prediction of movement, objective biomarkers are identified for healthy or impaired movement function.
    →More information

teaching

Friedrich-Alexander-Universität
Erlangen-Nürnberg

Schlossplatz 4
91054 Erlangen
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