A Novel Measurement Device for Volume Management in Lower Limb Amputees: A Technical Note.

David L Swartzendruber, Morgan T Redfield, Joan E Sanders
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Abstract

Many amputees suffer from irritation and wounds as a result of poor residual limb volume management. Reasons contributing to failure to maintain volume properly include peripheral neuropathy, cognitive impairment, and social/cultural issues. Amputees commonly use socks of various thicknesses to account for diurnal limb volume loss. However, data relating to sock compliance is lacking due to an absence of a reliable way to collect usage data. A device was fabricated utilizing wireless RFID and socket-limb interface force detection technology to track sock usage and activity of an amputee. Pilot data was collected through both in-lab and out-of-lab protocols. The collected data showed encouraging results tracking interface force data, however accurate sock data collection was difficult. Suggested solutions include designing a more effective antenna and using the interface force data to detect limb presence to start a tag accumulator algorithm. Clinical applications for the Sock Monitor include intervention through alerting the amputee of a need for a sock change before tissue damage occurs and evidence for prosthetists to justify insurance reimbursement for components and socket replacements. The next step is to use a new prototype with better hardware and firmware to collect real-world usage data from a large group of amputees. A predictive model will be made and implemented to determine if intervention in sock usage improves comfort and limb tissue health.

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用于下肢截肢者容量管理的新型测量设备:技术说明。
许多截肢者因残肢容量管理不善而受到刺激和造成伤口。导致残肢容量管理不善的原因包括周围神经病变、认知障碍和社会/文化问题。截肢者通常使用不同厚度的袜子来应对昼夜肢体容量的减少。然而,由于缺乏收集使用数据的可靠方法,有关袜子顺应性的数据十分匮乏。我们利用无线射频识别(RFID)和插座-肢体接口力检测技术制作了一种装置,用于跟踪截肢者的袜子使用情况和活动情况。试验数据是通过实验室内和实验室外协议收集的。收集到的数据显示,跟踪界面力数据的结果令人鼓舞,但准确收集袜子数据却很困难。建议的解决方案包括设计一个更有效的天线,并使用界面力数据检测肢体是否存在,以启动标签累加器算法。袜子监测器的临床应用包括:在组织损伤发生之前提醒截肢者需要更换袜子,从而进行干预;为假肢修复师提供证据,证明部件和插座更换的保险报销合理。下一步是使用硬件和固件更好的新原型,从一大批截肢者那里收集实际使用数据。我们将制作并实施一个预测模型,以确定对袜子使用的干预是否能改善舒适度和肢体组织健康。
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