Unknown

Dataset Information

Computational design and optimization of electro-physiological sensors.


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

SUBMITTER: Nittala AS 

PROVIDER: S-EPMC8566494 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature