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首页> 外文会议>International Conference on Ambient Intelligence for Health >Fully-Wireless Sensor Insole as Non-invasive Tool for Collecting Gait Data and Analyzing Fall Risk
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Fully-Wireless Sensor Insole as Non-invasive Tool for Collecting Gait Data and Analyzing Fall Risk

机译：全无线传感器鞋垫作为非侵入性工具，用于收集步态数据和分析跌倒风险

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This paper presents the final results and future projection of the European project WIISEL (Wireless Insole for Independent and Safe Elderly Living), that reached to build the first full-wireless insole (that include both wireless communication and wireless charging). These insoles provide a new set of non-invasive tools that can be used either at the clinical installations or at home. That solution improves the usability and user experience compared with traditional tools (smart carpets, wired insoles, etc.) that are oriented to clinical installations. And hence, provide a powerful tool for Ambient Intelligent for Health, especially for elderly people, increasing their autonomy and providing means for long term monitoring. Health parameters analysed are fall risk and gait analysis. Both are assessed on the establishment of clinical parameters such as fall risk index, and gait pattern and fall detection and algorithms. All those can be obtained thanks to our fully-wireless flexible insole that contains the sensors, embedded processing and wireless communications and charging. Pressure and inertial sensors are embedded into the insoles and a smartphone collects data utilizing Bluetooth Low Energy that is later sent to a main server analysis for its management, analysis and storage. This provides the selected information to the corresponding platform users being either end-users/patients, their relatives or caregivers and the related clinicians.
机译：本文介绍了欧洲项目WIISEL（无线鞋底为独立和安全的老年人生活）的最终结果和未来投影，该项目达成了建立了第一项全无线鞋垫（包括无线通信和无线充电）。这些鞋垫提供了一组新的非侵入性工具，可以在临床安装或家中使用。与临床安装的传统工具（智能地毯，有线鞋垫等）相比，该解决方案提高了可用性和用户体验。因此，为健康提供了一个强大的环境智能工具，特别是对于老年人来说，增加他们的自主权并提供长期监测的手段。分析的健康参数是风险和步态分析。两者都在建立临床参数等临床参数，如坠落风险指数，以及步态模式和跌落检测和算法。所有这些都可以通过我们的完全灵活的鞋垫获得，其中包含传感器，嵌入式处理和无线通信和充电。压力和惯性传感器嵌入到鞋垫中，并且智能手机利用蓝牙低能量收集数据，后来被发送到主服务器分析，以获得其管理，分析和存储。这向相应的平台用户提供了最终用户/患者，他们的亲属或护理人员以及相关临床医生的所选信息。

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