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Information Processing and Optimization for Smart Health Monitoring Systems

Information Processing and Optimization for Smart Health Monitoring Systems
智能健康监测系统的信息处理和优化
批准号:
418666-2013
负责人:
Bui, Francis
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
The need to manage physiological data is prevalent in many engineering systems, especially those in healthcare. There have also been recent advances in intertwined research areas, leading to the emergence of a technological platform with far-reaching implications: the body-area network (BAN), which represents the convergence of many fields, including instrumentation, computer science, and communications. However, since inception, a major challenge of the platform has been the resource constraints, e.g., energy, bandwidth and computational complexity. The human factor associated with BANs also carries unique implications with respect to security and privacy, since personalized medical data are often involved. In addition, to target the limited energy resource, renewable strategies such as energy harvesting and storage have been explored. While rechargeable devices allow for the potential of improved resource efficiency, this possibility is only fully realized if the underlying information processing algorithms are optimized accordingly.** In response to these challenges, we propose novel information processing strategies conducive to a "smart" health monitoring system (SHMS) embodying these design principles: (i) resource efficiency, to alleviate limited resources; (ii) variable quality of service provision, to cope with varying application scenarios; (iii) recharging regime, to exploit the renewable energy potential; (iv) security and privacy, to prevent unauthorized access. Due to its adaptivity, the SHMS platform is also applicable to other contexts besides healthcare, including workplace safety, multimedia education and entertainment, as well as law enforcement and military operations. In this research program, the focus will be first on healthcare, with other contexts considered as future extensions. This is a logical and practical selection, since telemedicine and healthcare facilities offer high-impact application scenarios for SHMS. Indeed, providing an efficient healthcare environment, which directly affects human quality of life, has always been a challenging but worthy pursuit. The successful application of SHMS for healthcare would represent not only technical advances but also social progress.**
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Machine Learning Strategies for Augmented Health Informatics
  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2020
  • 负责人:
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  • 批准号:
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  • 项目类别:
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