Department of Information Engineering, DEI, University of Padova, 35131 Padova, Italy.
Department of Medicine, DIMED, University of Padova, 35131 Padova, Italy.
Sensors (Basel). 2021 Feb 19;21(4):1450. doi: 10.3390/s21041450.
The quantification of plantar pressure distribution is widely done in the diagnosis of lower limbs deformities, gait analysis, footwear design, and sport applications. To date, a number of pressure insole layouts have been proposed, with different configurations according to their applications. The goal of this study is to assess the validity of a 16-sensors (1.5 × 1.5 cm) pressure insole to detect plantar pressure distribution during different tasks in the clinic and sport domains. The data of 39 healthy adults, acquired with a Pedar-X system (Novel GmbH, Munich, Germany) during walking, weight lifting, and drop landing, were used to simulate the insole. The sensors were distributed by considering the location of the peak pressure on all trials: 4 on the hindfoot, 3 on the midfoot, and 9 on the forefoot. The following variables were computed with both systems and compared by estimating the Root Mean Square Error (RMSE): Peak/Mean Pressure, Ground Reaction Force (GRF), Center of Pressure (COP), the distance between COP and the origin, the Contact Area. The lowest (0.61%) and highest (82.4%) RMSE values were detected during gait on the medial-lateral COP and the GRF, respectively. This approach could be used for testing different layouts on various applications prior to production.
足底压力分布的量化在下肢畸形的诊断、步态分析、鞋类设计和运动应用中得到了广泛应用。迄今为止,已经提出了许多压力鞋垫的布局,根据其应用有不同的配置。本研究的目的是评估 16 个传感器(1.5×1.5cm)压力鞋垫在临床和运动领域的不同任务中检测足底压力分布的有效性。使用来自 39 名健康成年人的数据,这些数据是在行走、举重和落地时使用 Pedar-X 系统(德国慕尼黑 Novel GmbH)采集的,用于模拟鞋垫。传感器的分布考虑了所有试验中峰值压力的位置:后跟 4 个,中足 3 个,前足 9 个。使用两个系统计算了以下变量,并通过估计均方根误差(RMSE)进行比较:峰值/平均压力、地面反作用力(GRF)、压力中心(COP)、COP 与原点之间的距离、接触面积。在步态中,RMSE 的最低值(0.61%)和最高值(82.4%)分别出现在内侧-外侧 COP 和 GRF 上。这种方法可以在生产前用于测试各种应用中的不同布局。