3D-printed epifluidic electronic skin for machine learning–powered multimodal health surveillance

The amalgamation of wearable technologies with physiochemical sensing capabilities promises to create powerful interpretive and predictive platforms for real-time health surveillance. However, the construction of such multimodal devices is difficult to be implemented wholly by traditional manufactur...

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Detalles Bibliográficos
Autores principales: Song, Yu, Tay, Roland Yingjie, Li, Jiahong, Xu, Changhao, Min, Jihong, Shirzaei Sani, Ehsan, Kim, Gwangmook, Heng, Wenzheng, Kim, Inho, Gao, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Physical and Materials Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499321/
https://www.ncbi.nlm.nih.gov/pubmed/37703361
http://dx.doi.org/10.1126/sciadv.adi6492

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499321/
https://www.ncbi.nlm.nih.gov/pubmed/37703361
http://dx.doi.org/10.1126/sciadv.adi6492

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