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  • 标题:A Review of Ambient Intelligence Assisted Healthcare Monitoring
  • 本地全文:下载
  • 作者:Abdelhamid Salih ; Mohamed Salih ; Ajith Abraham
  • 期刊名称:International Journal of Computer Information Systems and Industrial Management Applications
  • 印刷版ISSN:2150-7988
  • 电子版ISSN:2150-7988
  • 出版年度:2013
  • 卷号:5
  • 页码:741-750
  • 出版社:Machine Intelligence Research Labs (MIR Labs)
  • 摘要:There is growing need to supply constant Health Care Monitoring (HCM) and support to patients with Chronic Diseases (CD) especially the disabled, and elderly. Ambient Intelligence (AmI) for healthcare monitoring and personalized healthcare is a promising solution to provide efficient medical services, which could significantly lower down the healthcare cost. The aim of this review paper is to summarize recent developments in the field of AmI for HCM. The paper focused on the concepts of AmI and Artificial Intelligence (AI) methods and data mining techniques used in AmI applications of wearable sensors technology to monitor older, adults and patient with CD in the home and community settings. A short description of key enabling technologies Wireless sensor networks (WSNs), wearable sensor technology, and communication technology, that have allowed researchers to implement wearable systems is followed by a detailed description have been reviewed. Applications described in this review paper include those that focus on health and wellness, home rehabilitation, assessment of treatment. Various architectures and platforms of AmI application have been reviewed. The integration of wearable and ambient sensors is discussed in the context of achieving home monitoring of older adults and patient with chronic diseases. We aim with this review paper not to criticize, but to serve as a reference for researchers and developers in this scientific area and to provide direction for future research improvements.
  • 关键词:Ambient intelligence; artificial intelligence; ; Healthcare monitoring ; wearable sensors Network
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