Menrva Research Group, Schools of Mechatronic Systems & Engineering Science, Simon Fraser University, Metro Vancouver, BC V5A1S6, Canada.
Sensors (Basel). 2020 Feb 8;20(3):905. doi: 10.3390/s20030905.
Low back pain (LBP) is the most common work-related musculoskeletal disorder among healthcare workers and is directly related to long hours of working in twisted/bent postures or with awkward trunk movements. It has already been established that providing relevant feedback helps individuals to maintain better body posture during the activities of daily living. With the goal of preventing LBP through objective monitoring of back posture, this paper proposes a wireless, comfortable, and compact textile-based wearable platform to track trunk movements when the user bends forward. The smart garment developed for this purpose was prototyped with an inductive sensor formed by sewing a copper wire into an elastic fabric in a zigzag pattern. The results of an extensive simulation study showed that this unique design increases the inductance value of the sensor, and, consequently, improves its resolution. Furthermore, experimental evaluation on a healthy participant confirmed that the proposed wearable system with the suggested sensor design can easily detect forward bending movements. The evaluation scenario was then extended to also include twisting and lateral bending of the trunk, and it was observed that the proposed design can successfully discriminate such movements from forward bending of the trunk. Results of the magnetic interference test showed that, most notably, moving a cellphone towards the unworn prototype affects sensor readings, however, manipulating a cellphone, when wearing the prototype, did not affect the capability of the sensor in detecting forward bends. The proposed platform is a promising step toward developing wearable systems to monitor back posture in order to prevent or treat LBP.
下背痛(LBP)是医疗保健工作者中最常见的与工作相关的肌肉骨骼疾病,与长时间处于扭曲/弯曲姿势或躯干运动笨拙直接相关。已经确定,提供相关反馈有助于个人在日常生活活动中保持更好的身体姿势。本研究旨在通过对背部姿势进行客观监测来预防 LBP,提出了一种无线、舒适、紧凑的基于纺织的可穿戴平台,用于跟踪用户向前弯曲时的躯干运动。为此目的开发的智能服装采用感应传感器原型,该传感器通过将铜线以之字形缝制到弹性织物中制成。广泛的模拟研究结果表明,这种独特的设计增加了传感器的电感值,从而提高了其分辨率。此外,对健康参与者的实验评估证实,具有建议传感器设计的所提出的可穿戴系统可以轻松检测到向前弯曲运动。评估场景随后扩展到包括躯干的扭转和侧向弯曲,观察到所提出的设计可以成功区分躯干的这些运动与向前弯曲。磁场干扰测试的结果表明,特别值得注意的是,将手机移向未佩戴原型会影响传感器读数,但是,当佩戴原型时操纵手机不会影响传感器检测向前弯曲的能力。所提出的平台是朝着开发用于监测背部姿势以预防或治疗 LBP 的可穿戴系统迈出的有希望的一步。