IoT and big data technologies for monitoring and processing real-time healthcare data
| Autor: | Hamza Elkhoukhi, Steven Latre, Chris Blondia, Vincenzo De Florio, Mohamed Bakhouya, Moulay Driss El Ouadghiri, Y. NaitMalek, Abdelhak Kharbouch |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer. Automation
Computer Networks and Communications Event (computing) Wireless ad hoc network business.industry Computer science Big data Wearable computer 020206 networking & telecommunications Context (language use) 02 engineering and technology Data science Data acquisition Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Data analysis 020201 artificial intelligence & image processing The Internet business Engineering sciences. Technology |
| Zdroj: | International journal of distributed systems and technologies |
| ISSN: | 1947-3532 |
| Popis: | Recent advances in pervasive technologies, such as wireless, ad hoc networks, and wearable sensor devices, allow the connection of everyday things to the Internet, commonly denoted as the Internet of Things (IoT). The IoT is seen as an enabler to the development of intelligent and context-aware services and applications. However, handling dynamic and frequent context changes is a difficult task without a real-time event/data acquisition and processing platform. Big data technologies and data analytics have been recently proposed for timely analyzing information (i.e., data, events) streams. The main aim is to make users' life more comfortable according to their locations, current requirements, and ongoing activities. In this article, combining IoT techniques and Big data technologies into a holistic platform for continuous and real-time health-care data monitoring and processing is introduced. Real-testing experiments have been conducted and results are reported to show the usefulness of this platform in a real-case scenario. |
| Databáze: | OpenAIRE |
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