Naranjo-Hernandez David, Roa Laura M, Reina-Tosina Javier, Estudillo-Valderrama Miguel Angel
Biomedical Engineering Group, University of Seville, Seville 41092, Spain.
IEEE Trans Inf Technol Biomed. 2012 Mar;16(2):264-71. doi: 10.1109/TITB.2012.2185851. Epub 2012 Jan 27.
The main objective of this paper is to present a distributed processing architecture that explicitly integrates capabilities for its continuous adaptation to the medium, the context, and the user. This architecture is applied to a falling detection system through: 1) an optimization module that finds the optimal operation parameters for the detection algorithms of the system devices; 2) a distributed processing architecture that provides capabilities for remote firmware update of the smart sensors. The smart sensor also provides an estimation of activities of daily living (ADL), which results very useful in monitoring of the elderly and patients with chronic diseases. The developed experiments have demonstrated the feasibility of the system and specifically, the accuracy of the proposed algorithms and procedures (100% success for impact detection, 100% sensitivity and 95.68% specificity rates for fall detection, and 100% success for ADL level classification). Although the experiments have been developed with a cohort of young volunteers, the personalization and adaption mechanisms of the proposed architecture related to the concepts of "design for all" and "design space" will significantly ease the adaptation of the system for its application to the elderly.
本文的主要目标是提出一种分布式处理架构，该架构明确集成了使其能够持续适应媒介、上下文和用户的能力。通过以下方式将此架构应用于跌倒检测系统：1）一个优化模块，用于为系统设备的检测算法找到最佳操作参数；2）一种分布式处理架构，为智能传感器提供远程固件更新功能。智能传感器还提供日常生活活动（ADL）的估计，这在监测老年人和慢性病患者方面非常有用。所开展的实验证明了该系统的可行性，具体而言，所提出算法和程序的准确性（撞击检测成功率为100%，跌倒检测灵敏度为100%，特异性率为95.68%，ADL水平分类成功率为100%）。尽管实验是针对一群年轻志愿者开展的，但所提出架构与“通用设计”和“设计空间”概念相关的个性化和适应机制将显著简化该系统应用于老年人的适配过程。
