| Autor: |
Diaz, Rogelio Gamez, Laamarti, Fedwa, El Saddik, Abdulmotaleb |
| Zdroj: |
IEEE Instrumentation & Measurement Magazine; Sep2021, Vol. 24 Issue 6, p22-28, 7p |
| Abstrakt: |
A Digital Twin (DT) is a digital replica of a living or non-living entity, called “real twin.” Data is collected from the real twin and analyzed using Artificial Intelligence (AI), which subsequently provides the real twin with valuable feedback. One of the most promising applications for humans is the DT for health and well-being [1]. Although the DT technology has been widely adopted in industries such as the manufacturing industry, where it has proven highly beneficial, its use in the domain of health is in its infancy. Few researchers have addressed the DT for health. Such is the work in [2] where a DT is proposed for heart disease detection, or in [3] that presents an ecosystem of the DT in the domain of well-being where the real twin's physical activity is measured by the digital twin, which then provides feedback in real-time to the real twin. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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