Julia Sauer, M. Sc.

Research Associate
Institute for Electrical Engineering in Medicine
Universität zu Lübeck
Moislinger Allee 53-55
23558 Lübeck
Gebäude 19,
Email: | j.sauer(at)uni-luebeck.de |
Phone: | +49 451 3101 6217 |
Fax: |
Research
Research Interests
- Biomedical signal processing
- Signal quality estimation
- Source separation and noise removal
Current Projects
- Quality estimation and objectification of surface electromyographic measurements
Curriculum Vitae
Julia Sauer received the B.Sc. degree in 2016 and three years later the M.Sc. degree, both in Medical Engineering Science from Universität zu Lübeck, Germany. Between 2017 and 2018, she was an Intern with the development team at VisiConsult, Stockelsdorf, Germany. Since 2019, she has been working as a Research Associate with the Institute for Electrical Engineering in Medicine, University of Lübeck, Germany.
Publications
Journal Publications
2022
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Julia Sauer and Merle Streppel and Niklas M Carbon and Eike Petersen and Philipp Rostalski: Blind source separation of inspiration and expiration in respiratory sEMG signals. Physiological Measurement, no. 43, pp. 075007, IOP Publishing, jul, 2022
@article{Sauer_2022, doi = {10.1088/1361-6579/ac799c}, url = {https://e-pet.github.io/files/Blind%20source%20separation%20of%20inspiration%20and%20expiration%20in%20respiratory%20sEMG%20signals%20[accepted].pdf}, year = {2022}, month = {jul}, publisher = {{IOP} Publishing}, volume = {43}, number = {7}, pages = {075007}, author = {Julia Sauer and Merle Streppel and Niklas M Carbon and Eike Petersen and Philipp Rostalski}, title = {Blind source separation of inspiration and expiration in respiratory {sEMG} signals}, journal = {Physiological Measurement}, }
2020
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Petersen, Eike and Sauer, Julia and Graßhoff, Jan and Rostalski, Philipp: Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms. IEEE Access, no. 8, pp. 30905-30917, Institute of Electrical and Electronics Engineers (IEEE), 2020
@Article{PeSaGrRo20, author = {Petersen, Eike and Sauer, Julia and Graßhoff, Jan and Rostalski, Philipp}, url = {https://ieeexplore.ieee.org/abstract/document/8988257}, title = {Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms}, journal = {{IEEE} Access}, year = {2020}, volume = {8}, pages = {30905--30917}, doi = {10.1109/access.2020.2972731}, groups = {ECG Removal from EMG recordings}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})} }
Theses
2019
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Sauer, Julia: Model-based Approach to Estimate Lung Parameters and Respiratory Muscle Activity Using Electromyographic Signals and Ventilation Data. Master`s Thesis at the Institute for Electrical Engineering in Medicine, University of Lübeck, 2019
@phdthesis{Sa19, author = {Sauer, Julia}, abstract = {}, year = {2019}, title = {{Model-based Approach to Estimate Lung Parameters and Respiratory Muscle Activity Using Electromyographic Signals and Ventilation Data}}, school = {{Universit{\"a}t zu L{\"u}beck}}, publisher = {{Master's Thesis at the Institute for Electrical Engineering in Medicine, University of Lübeck}}, type = {{Master's Thesis}}, keyword = {ThesisAtIME; SupervisedByEPetersen; SupervisedByPRostalski}, keywords = {ThesisAtIME; SupervisedByEPetersen; SupervisedByPRostalski} }
2016
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Sauer, Julia: Cardiac Artefact Removal on Surface Electromyographic Signals of the Respiratory Muscles. Bachelor Thesis at the Institute for Electrical Engineering in Medicine, University of Lübeck, 2016
@phdthesis{Sa16, author = {Sauer, Julia}, abstract = {}, year = {2016}, title = {{Cardiac Artefact Removal on Surface Electromyographic Signals of the Respiratory Muscles}}, school = {{Universit{\"a}t zu L{\"u}beck}}, publisher = {{Bachelor Thesis at the Institute for Electrical Engineering in Medicine, University of Lübeck}}, type = {{Bachelor Thesis}}, keyword = {ThesisAtIME; SupervisedByEPetersen; SupervisedByPRostalski}, keywords = {ThesisAtIME; SupervisedByEPetersen; SupervisedByPRostalski} }

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