Department of Information Technologies and Electrical Engineering, University of Naples 'Federico II', 80125 Naples, Italy.
Scientific Clinical Institutes ICS Maugeri SPA SB, 27100 Pavia (PV), Italy.
Sensors (Basel). 2020 Nov 23;20(22):6691. doi: 10.3390/s20226691.
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.
本文提出了一种新的基于可穿戴电子纺织品的系统，名为 SWEET Sock，用于生物医学信号的远程监测。该系统包括一个纺织传感袜子、一个用于数据传输的电子单元、一个定制的用于实时信号可视化的 Android 应用程序，以及一个用于高级数字信号处理的软件桌面。该设备允许采集下肢角速度和足底压力信号，这些信号经过后处理，可以全面而直观地了解患者的临床状况，包括步态和姿势评估。在这项工作中，通过评估原型机与用于步态分析的光电系统在一组自由行走采集上的一致性，验证了设备的性能。结果表明，两种系统在步态周期时间和步频的评估上具有良好的一致性，而在摆动和站立时间参数上存在系统和比例误差。在空间度量的比较中，结果较差。该系统的“可穿戴性”及其舒适的使用使其适用于在家庭环境中对出院患者进行连续远程健康监测，也适用于对健康工作者的工效学评估，这要归功于其低侵入性。
