Active Prosthetics

Studiengang
  • Master's program Medical Technologies
Kennzahl der Lehrveranstaltung
  • MSE-M-2-ILV-MHW
Niveau der Lehrveranstaltung laut Lehrplan
  • Master
Semester in dem die Lehrveranstaltung angeboten wird
  • 2
Anzahl der zugewiesenen ECTS-Credits
  • 5.0
Name des/der Vortragenden
  • FH-Prof. Kim Yeongmi, PhD
  • Dr. Veneman Jan
Lernergebnisse der Lehrveranstaltung
  • Students
    • Understand principles of sensors and actuators especially utilized in medical applications
    • Are familiar with the physical basis, design, production and uses of sensors and actors
    • Are capable of selecting sensors and actors for specific requirements
    • Are capable of interpreting and processing input signals and integrating sensors and actors in a specific medical application.
    • Understand types of prosthetics devices for assisting appropriate aids
    • Are capable of understanding and analyzing mechanism of active prosthetics
    • Understand and are able to apply the theoretical foundations of applied medical robotics. They
     Know different representations of position and orientation in 2- and 3-dimensional Cartesian space and are able to implement them in software
     Are able to describe and implement time-varying relative poses and trajectories in software
    • Are capable of applying the basics of medical robotics programming. They
     Know the setup and components of medical robotics system
     Understand the according safety regulations
     Are able to manually jog a robot
     Are able to define tools and coordinate frames
     Are able to realize a medical robot application by means of offline programming
     Are able to debug programs and to detect/ resolve problems
Art der Veranstaltung
  • face-to-face
Voraussetzungen laut Lehrplan
  • none
Lehrinhalte
  • - Serial/parallel Limb exoskeleton
    - Upper limb exoskeleton for assistance or rehabilitation
    - Lower limb exoskeleton for assistance or rehabilitation
    - Prosthetics hands
    - Prosthetic legs
    - Control algorithm for Prosthetics
    - Sensing and actuating Prosthetics
empfohlene Fachliteratur
  • - M.-H. Bao, Micro mechanical transducers: Pressure sensors, accelerometers and gyroscopes. Amsterdam: Elsevier, 2000.
    - R. H. Bishop, Ed., The mechatronics handbook, 2nd ed. Boca Raton: CRC Press, 2008.
    - R. Colombo and V. Sanguineti, Eds., Rehabilitation robotics: Technology and application. London: Academic Press, 2018.
    - P. Corke, Robotics, vision and control: Fundamental Algorithms In MATLAB®. Cham: Springer, 2017.
    - J. J. Craig, Introduction to robotics: Mechanics and control, 4th ed. London: Pearson, 2018.
    - H. Herr, "Exoskeletons and orthoses: classification, design challenges and future directions,"Journal of neuroengineering and rehabilitation, vol. 6, Art. 21, 2009.
    - K. Iniewski, Biological and medical sensor technologies. Boca Raton: CRC Press, 2017.
    - R. N. Jazar, Theory of applied robotics: Kinematics, dynamics, and control, 2nd ed. New York: Springer, 2010.
    - C.-M. Kyung, H. Yasuura, Y. Liu, and Y.-L. Lin, Eds., Smart sensors and systems: Innovations for medical, environmental, and IoT applications. Cham: Springer, 2017.
    - C. T. Leondes, MEMS/NEMS: Handbook Techniques and Applications. Boston: Springer, 2006.
    - M. J. McGrath, Sensor technologies: Healthcare, wellness, and environmental applications. New York: ApressOpen, 2014.
    - S. C. Mukhopadhyay and T. Islam, Eds., Wearable sensors: Applications, design and implementation. Bristol: IOP Publishing, 2017.
    - R. M. Murray, Z. Li, and S. Sastry, A mathematical introduction to robotic manipulation. Boca Raton: CRC Press, 1994.
    - B. Siciliano and O. Khatib, Eds., Springer Handbook of Robotics, 2nd ed. Cham: Springer, 2016.
    - B. Siciliano, L. Sciavicco, L. Villani, and G. Oriolo, Robotics: Modelling, planning and control. London: Springer, 2010.
    - M. W. Spong, S. Hutchinson, and M. Vidyasagar, Robot modeling and control. Hoboken: Wiley, 2006.
    - M. Taya, Bioinspired actuators and sensors. Cambridge: Cambridge University Press, 2016.
    - B. Tucker, Handbook of smart actuators and smart sensors. Forest Hills: NY Research Press, 2015.
    - Verl, A. Albu-Schäffer, O. Brock, and A. Raatz, Eds., Soft robotics: Transferring theory to application. Berlin: Springer, 2015.
Lehr- und Lernformen
  • The course comprises an interactive mix of lectures, discussions and individual and group work.
Prüfungsmethode
  • To monitor the students’ learning this course will provide ongoing assignments as a basis for feedback and grading (formative assessment) and/or will evaluate the students learning at the end of the course or an instructional unit via exams, final project reports, essays or seminar papers (summative assessment).
Unterrichtssprache
  • English