Towards a Machine Learning-Based Digital Twin for Non-Invasive Human Bio-Signal Fusion

Human bio-signal fusion is considered a critical technological solution that needs to be advanced to enable modern and secure digital health and well-being applications in the metaverse. To support such efforts, we propose a new data-driven digital twin (DT) system to fuse three human physiological...

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Detalles Bibliográficos
Autores principales: Al-Zyoud, Izaldein, Laamarti, Fedwa, Ma, Xiaocong, Tobón, Diana, El Saddik, Abdulmotaleb
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9786606/
https://www.ncbi.nlm.nih.gov/pubmed/36560115
http://dx.doi.org/10.3390/s22249747

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9786606/
https://www.ncbi.nlm.nih.gov/pubmed/36560115
http://dx.doi.org/10.3390/s22249747

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