Cargando…
An Edge Computing and Ambient Data Capture System for Clinical and Home Environments
The non-contact patient monitoring paradigm moves patient care into their homes and enables long-term patient studies. The challenge, however, is to make the system non-intrusive, privacy-preserving, and low-cost. To this end, we describe an open-source edge computing and ambient data capture system...
Autores principales: | Suresha, Pradyumna Byappanahalli, Hegde, Chaitra, Jiang, Zifan, Clifford, Gari D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003543/ https://www.ncbi.nlm.nih.gov/pubmed/35408127 http://dx.doi.org/10.3390/s22072511 |
Ejemplares similares
-
Rett syndrome severity estimation with the BioStamp nPoint using interactions between heart rate variability and body movement
por: Suresha, Pradyumna Byappanahalli, et al.
Publicado: (2023) -
Ambient Intelligence Environment for Home Cognitive Telerehabilitation
por: Oliver, Miguel, et al.
Publicado: (2018) -
Local Scheduling in KubeEdge-Based Edge Computing Environment
por: Kim, Seong-Hyun, et al.
Publicado: (2023) -
An investigation of privacy preservation in deep learning-based eye-tracking
por: Seyedi, Salman, et al.
Publicado: (2022) -
A Blockchain-Based Trusted Edge Platform in Edge Computing Environment
por: Zhang, Jinnan, et al.
Publicado: (2021)