Staff

M. Sc. Samuel Zeising

Contact

  • Mail:
  • Phone: 09131/85-27188
  • Fax: 09131/85-28730
  • Room: 03.242
  • Cauerstraße 9
    91058 Erlangen

About Samuel Zeising

Biography

Samuel holds a Bachelor degree in Medical Engineering and a Master degree in Electronics and Information Technology. He studied at the FAU Erlangen-Nürnberg. Since October 2019, he has been employed at the Institute for Electronics Engineering as a research assistant in the group for Medical Electronics & Multiphysical Systems (MEMPS). His research interests inlcude the design and the simulation of medical systems.

Areas of Interest

  • Medical Engineering
  • High Frequency Technology
  • Numerical Simulations

Open thesis projetcs

Just let me know, if you are interested!

Lectures Summer term 2020

Publications

2020

  • S. Zeising, J. Kirchner, H. Fazeli Khalili, D. Ahmed, M. Lübke, A. Thalmayer, and G. Fischer, "Towards Realisation of a Non-Invasive Blood Glucose Sensor Using Microstripline" in International Instrumentation and Measurement Technology Conference (I2MTC), Dubrovnik, Croatia, 2020 (to be published). [Bibtex]
    @inproceedings{zeising2020,
    author = {Zeising, Samuel and Kirchner, Jens and Fazeli Khalili, Hossein and Ahmed, Doaa and Lübke, Maximilian and Thalmayer, Angelika and Fischer, Georg},
    language = {English},
    booktitle = {International Instrumentation and Measurement Technology Conference (I2MTC)},
    cris = {https://cris.fau.de/converis/publicweb/publication/234417549},
    year = {2020},
    month = {05},
    day = {25},
    eventdate = {2020-05-25/2020-05-28},
    faupublication = {yes},
    note = {unpublished},
    peerreviewed = {unknown},
    title = {Towards Realisation of a Non-Invasive Blood Glucose Sensor Using Microstripline},
    type = {Konferenzschrift},
    venue = {Dubrovnik, Croatia},
    }
  • A. Thalmayer, S. Zeising, G. Fischer, and J. Kirchner, "A Robust and Real-Time Capable Envelope-Based Algorithm for Heart Sound Classification: Validation under Different Physiological Conditions", Sensors, vol. 20, iss. 4, 2020. [DOI] [Bibtex]
    @article{thalmayer2020,
    abstract = {This paper proposes a robust and real-time capable algorithm for classification of the first
    and second heart sounds. The classification algorithm is based on the evaluation of the envelope curve
    of the phonocardiogram. For the evaluation, in contrast to other studies, measurements on twelve
    probands were conducted in different physiological conditions. Moreover, for each measurement the
    auscultation point, posture and physical stress were varied. The proposed envelope-based algorithm
    is tested with two different methods for envelope curve extraction: the Hilbert transform and
    the short-time Fourier transform. The performance of the classification of the first heart sounds
    is evaluated by using a reference electrocardiogram. Overall, by using the Hilbert transform,
    the algorithm has a better performance regarding the F1-score and computational effort. The
    proposed algorithm achieves for the S1 classification an F1-score up to 95.7% and in average 90.5 %.
    The algorithm is robust against the age, BMI, posture, heart rate and auscultation point (except
    measurements on the back) of the subjects. The ECG and PCG records are available from the authors.
    }, author = {Thalmayer, Angelika and Zeising, Samuel and Fischer, Georg and Kirchner, Jens}, language = {English}, cris = {https://cris.fau.de/converis/publicweb/publication/234137709}, year = {2020}, month = {02}, day = {11}, doi = {10.3390/S20040972}, faupublication = {yes}, issn = {1424-8220}, journaltitle = {Sensors}, number = {4}, peerreviewed = {Yes}, shortjournal = {SENSORS-BASEL}, title = {A Robust and Real-Time Capable Envelope-Based Algorithm for Heart Sound Classification: Validation under Different Physiological Conditions}, type = {undefined}, url = {https://www.mdpi.com/1424-8220/20/4/972}, volume = {20}, }

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