Cargando…
An IoT-Enabled Stroke Rehabilitation System Based on Smart Wearable Armband and Machine Learning
Surface electromyography signal plays an important role in hand function recovery training. In this paper, an IoT-enabled stroke rehabilitation system was introduced which was based on a smart wearable armband (SWA), machine learning (ML) algorithms, and a 3-D printed dexterous robot hand. User comf...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
IEEE
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5957264/ https://www.ncbi.nlm.nih.gov/pubmed/29805919 http://dx.doi.org/10.1109/JTEHM.2018.2822681 |
Ejemplares similares
-
An IoT-Enabled Information System for Smart Navigation in Museums
por: Khan, Muhammad Nawaz, et al.
Publicado: (2021) -
Blockchain and smart contract for IoT enabled smart agriculture
por: Pranto, Tahmid Hasan, et al.
Publicado: (2021) -
A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System
por: Li, Wei, et al.
Publicado: (2021) -
Smart healthcare analytics in IoT enabled environment
por: Pattnaik, Prasant Kumar, et al.
Publicado: (2020) -
IoT-Enabled Smart Cities: Evolution and Outlook
por: Bauer, Martin, et al.
Publicado: (2021)