Conference
Asymmetric Three-dimensional Convolutions for Preterm Infants' Pose Estimation
| العنوان: | Asymmetric Three-dimensional Convolutions for Preterm Infants' Pose Estimation |
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| المؤلفون: | Migliorelli L., Berardini D., Rossini F., Frontoni E., Carnielli V., Moccia S. |
| المساهمون: | Migliorelli, L., Berardini, D., Rossini, F., Frontoni, E., Carnielli, V., Moccia, S. |
| بيانات النشر: | Institute of Electrical and Electronics Engineers Inc. |
| سنة النشر: | 2021 |
| المجموعة: | Università Politecnica delle Marche: IRIS |
| الوصف: | Computer-assisted tools for preterm infants' movement monitoring in neonatal intensive care unit (NICU) could support clinicians in highlighting preterm-birth complications. With such a view, in this work we propose a deep-learning framework for preterm infants' pose estimation from depth videos acquired in the actual clinical practice. The pipeline consists of two consecutive convolutional neural networks (CNNs). The first CNN (inherited from our previous work) acts to roughly predict joints and joint-connections position, while the second CNN (Asy-regression CNN) refines such predictions to trace the limb pose. Asy-regression relies on asymmetric convolutions to temporally optimize both the training and predictions phase. Compared to its counterpart without asymmetric convolutions, Asy-regression experiences a reduction in training and prediction time of 66% , while keeping the root mean square error, computed against manual pose annotation, merely unchanged. Research mostly works to develop highly accurate models, few efforts have been invested to make the training and deployment of such models time-effective. With a view to make these monitoring technologies sustainable, here we focused on the second aspect and addressed the problem of designing a framework as trade-off between reliability and efficiency. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/wos/WOS:000760910502210; ispartofbook:Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021; volume:2021; firstpage:3021; lastpage:3024; numberofpages:4; serie:IEEE ENGINEERING IN MEDICINE AND BIOLOGY . ANNUAL CONFERENCE PROCEEDINGS; https://hdl.handle.net/11566/328158; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85122510481 |
| DOI: | 10.1109/EMBC46164.2021.9630216 |
| الاتاحة: | https://hdl.handle.net/11566/328158 https://doi.org/10.1109/EMBC46164.2021.9630216 |
| رقم الانضمام: | edsbas.472D17B4 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1109/EMBC46164.2021.9630216 |
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