This paper presents a new wearable e-textile based system, named SWEET Sock, for biomedical signals remote monitoring. The system includes a textile sensing sock, an electronic unit for data transmission, a custom-made Android application for real-time signal visualization, and a software desktop for advanced digital signal processing. The device allows the acquisition of angular velocities of the lower limbs and plantar pressure signals, which are postprocessed to have a complete and schematic overview of patient’s clinical status, regarding gait and postural assessment. In this work, device performances are validated by evaluating the agreement between the prototype and an optoelectronic system for gait analysis on a set of free walk acquisitions. Results show good agreement between the systems in the assessment of gait cycle time and cadence, while the presence of systematic and proportional errors are pointed out for swing and stance time parameters. Worse results were obtained in the comparison of spatial metrics. The “wearability” of the system and its comfortable use make it suitable to be used in domestic environment for the continuous remote health monitoring of de-hospitalized patients but also in the ergonomic assessment of health workers, thanks to its low invasiveness.

中文翻译：

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用于远程步态和姿势评估的基于电子纺织品的可穿戴袜子的设计和验证

本文提出了一种基于可穿戴电子纺织品的新型系统，名为 SWEET Sock，用于生物医学信号远程监控。该系统包括纺织传感袜、用于数据传输的电子单元、用于实时信号可视化的定制Android应用程序以及用于高级数字信号处理的软件桌面。该设备可以采集下肢的角速度和足底压力信号，并对这些信号进行后处理，以获得关于步态和姿势评估的患者临床状态的完整和示意性概述。在这项工作中，通过评估原型与用于对一组自由行走采集进行步态分析的光电系统之间的一致性来验证设备性能。结果表明，系统之间在步态周期时间和步频评估方面具有良好的一致性，同时指出摆动和站立时间参数存在系统误差和比例误差。在空间指标的比较中获得了更糟糕的结果。该系统的“可穿戴性”和使用舒适性使其适合在家庭环境中用于出院患者的持续远程健康监测，而且由于其低侵入性，也适用于卫生工作者的人体工学评估。