Computational design and optimization of electro-physiological sensors

dc.bibliographicCitation.firstPage6351
dc.bibliographicCitation.journalTitleNature Communicationseng
dc.bibliographicCitation.volume12
dc.contributor.authorNittala, Aditya Shekhar
dc.contributor.authorKarrenbauer, Andreas
dc.contributor.authorKhan, Arshad
dc.contributor.authorKraus, Tobias
dc.contributor.authorSteimle, Jürgen
dc.date.accessioned2022-03-10T12:41:26Z
dc.date.available2022-03-10T12:41:26Z
dc.date.issued2021
dc.description.abstractElectro-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.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/8198
dc.identifier.urihttps://doi.org/10.34657/7236
dc.language.isoengeng
dc.publisher[London] : Nature Publishing Group UK
dc.relation.doihttps://doi.org/10.1038/s41467-021-26442-1
dc.relation.essn2041-1723
dc.rights.licenseCC BY 4.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc500
dc.subject.otherdetection methodeng
dc.subject.otherexperimental studyeng
dc.subject.otherintegrated approacheng
dc.subject.otheroptimizationeng
dc.subject.othersensoreng
dc.subject.otheralgorithmeng
dc.subject.otherbiologyeng
dc.subject.otherbiomedical engineeringeng
dc.subject.otherelectrodeeng
dc.subject.otherelectronic deviceeng
dc.subject.otherelectrophysiologyeng
dc.subject.otherheuristicseng
dc.subject.otherhumaneng
dc.subject.othersoftwareeng
dc.subject.otherAlgorithmseng
dc.subject.otherBiomedical Engineeringeng
dc.subject.otherComputational Biologyeng
dc.subject.otherElectrodeseng
dc.subject.otherElectrophysiological Phenomenaeng
dc.subject.otherHeuristicseng
dc.subject.otherHumanseng
dc.subject.otherSoftwareeng
dc.subject.otherWearable Electronic Deviceseng
dc.titleComputational design and optimization of electro-physiological sensorseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorINMger
wgl.subjectChemieger
wgl.subjectBiowissenschaften/Biologieger
wgl.typeZeitschriftenartikelger
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