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doi:10.22028/D291-35801
Titel: | Computational design and optimization of electro-physiological sensors |
VerfasserIn: | Nittala, Aditya Shekhar Karrenbauer, Andreas Khan, Arshad Kraus, Tobias Steimle, Jürgen |
Sprache: | Englisch |
Titel: | Nature Communications |
Bandnummer: | 12 |
Heft: | 1 |
Verlag/Plattform: | Springer Nature |
Erscheinungsjahr: | 2021 |
Freie Schlagwörter: | Biomedical engineering Computer science |
DDC-Sachgruppe: | 500 Naturwissenschaften |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Electro-physiological sensing devices are becoming increasingly common in diverse applications. However, designing such sensors in compact form factors and for high-quality signal acquisition is a challenging task even for experts, is typically done using heuristics, and requires extensive training. Our work proposes a computational approach for designing multi-modal electro-physiological sensors. By employing an optimization-based approach alongside an integrated predictive model for multiple modalities, compact sensors can be created which offer an optimal trade-off between high signal quality and small device size. The task is assisted by a graphical tool that allows to easily specify design preferences and to visually analyze the generated designs in real-time, enabling designer-in-the-loop optimization. Experimental results show high quantitative agreement between the prediction of the optimizer and experimentally collected physiological data. They demonstrate that generated designs can achieve an optimal balance between the size of the sensor and its signal acquisition capability, outperforming expert generated solutions. |
DOI der Erstveröffentlichung: | 10.1038/s41467-021-26442-1 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-358015 hdl:20.500.11880/32644 http://dx.doi.org/10.22028/D291-35801 |
ISSN: | 2041-1723 |
Datum des Eintrags: | 18-Mär-2022 |
Bezeichnung des in Beziehung stehenden Objekts: | Supplementary information |
In Beziehung stehendes Objekt: | https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-26442-1/MediaObjects/41467_2021_26442_MOESM1_ESM.pdf https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-26442-1/MediaObjects/41467_2021_26442_MOESM2_ESM.pdf https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-26442-1/MediaObjects/41467_2021_26442_MOESM3_ESM.xlsx https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-26442-1/MediaObjects/41467_2021_26442_MOESM4_ESM.mp4 https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-26442-1/MediaObjects/41467_2021_26442_MOESM5_ESM.mp4 https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-26442-1/MediaObjects/41467_2021_26442_MOESM6_ESM.mp4 |
Fakultät: | MI - Fakultät für Mathematik und Informatik NT - Naturwissenschaftlich- Technische Fakultät |
Fachrichtung: | MI - Informatik NT - Chemie |
Professur: | MI - Prof. Dr. Jürgen Steimle NT - Prof. Dr. Tobias Kraus |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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s41467-021-26442-1.pdf | 1,89 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons