Information Processing and Optimization for Smart Health Monitoring Systems
Information Processing and Optimization for Smart Health Monitoring Systems
批准号:
418666-2013
负责人:
Bui, Francis
金额:
$1.82万
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
中文摘要
管理生理数据的需求在许多工程系统中很普遍,特别是在医疗保健系统中。最近在相互交织的研究领域也取得了进展,导致了一个具有深远影响的技术平台的出现:体域网络(BAN),它代表了许多领域的融合,包括仪器仪表、计算机科学和通信。然而,自成立以来,该平台面临的主要挑战是资源限制,例如能源、带宽和计算复杂性。与ban相关的人为因素在安全和隐私方面也具有独特的影响,因为经常涉及个性化的医疗数据。此外,针对有限的能源资源,探索了能量收集和储存等可再生策略。虽然可充电设备允许提高资源效率的潜力,但这种可能性只有在底层信息处理算法得到相应优化的情况下才能完全实现。**为了应对这些挑战,我们提出了新的信息处理策略,有助于实现体现以下设计原则的“智能”健康监测系统(SHMS):(i)资源效率,以缓解有限的资源;(ii)提供不同质素的服务,以应付不同的应用情况;(iii)充电制度,以发掘可再生能源的潜力;(iv)安全和隐私,以防止未经授权的访问。由于其适应性,SHMS平台还适用于除医疗保健之外的其他环境,包括工作场所安全,多媒体教育和娱乐,以及执法和军事行动。在这项研究计划中,重点将首先放在医疗保健上,其他背景将被视为未来的扩展。这是一个合乎逻辑且实用的选择,因为远程医疗和医疗保健设施为SHMS提供了高影响力的应用场景。事实上,提供一个直接影响人类生活质量的高效医疗环境一直是一个具有挑战性但值得追求的目标。SHMS在医疗领域的成功应用不仅代表着技术的进步,也代表着社会的进步
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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会议论文
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财政年份:2022
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依托单位:
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依托单位:
Information Processing and Optimization for Smart Health Monitoring Systems
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批准号:418666-2013
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.82万
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负责人:Bui, Francis
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依托单位:
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.82万
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财政年份:2013
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依托单位:
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国内基金
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