Design and Test of a Biomechanical Model for the Estimation of Knee Joint Angle During Indoor Rowing: Implications for FES-Rowing Protocols in Paraplegia
Design and Test of a Biomechanical Model for the Estimation of Knee Joint Angle During Indoor Rowing: Implications for FES-Rowing Protocols in Paraplegia
复制标题
室内划船时估计膝关节角度的生物力学模型的设计和测试：对截瘫 FES 划船方案的影响
DOI：
10.1109/tnsre.2018.2876634
复制
发表时间：
2018
影响因子：
4.9
通讯作者：
A. Botter
中科院分区：
文献类型：
--
作者：
T. Vieira;G. Cerone;L. Gastaldi;S. Pastorelli;L. Oliveira;M. Gazzoni;A. Botter
划船时下肢肌肉的功能性电刺激为截瘫患者的心血管调节提供了一种手段。根据膝盖角度的变化来塑造刺激轮廓的可能性，目前被认为是座位位置的变化，可能有助于避免与肌肉疲劳和运动协调相关的开放性问题。在这里，我们提出了一个受试者特定的生物力学模型，用于估计室内划船期间膝关节角度。人体测量和脚和座位的位置是输入到模型。我们在两个精英赛艇运动员样本上测试了我们的模型；15名健全的运动员和11名参加2016年残奥会的运动员。残奥会赛艇运动员表现出轻微的身体残疾（LTA-PD分类），使他们能够完成整个赛艇周期（腿部，躯干和手臂）。膝关节角度从划船机座椅位置估计，用线性编码器测量，并无线传输到计算机。关键结果表明，估计角度和测量角度之间的均方根误差（RMSE）不依赖于组和冲程速率（${p} > \textsf{0.267}$）。然而，在划船周期（${p} < \textsf{0.001}$）中观察到显著更大的RMSE值，在恢复中期平均达到8度。无论分组和卒中率如何，膝关节角度估计值和测量值之间的差异导致膝关节屈曲的检测稍早（5%）。我们的模型和惯性传感器都能很好地识别出膝关节伸展偏移量、接球时膝关节角度和膝关节运动范围。这些结果表明，我们的模型准确地描述了室内划船运动中膝关节的运动。
Functional electrical stimulation of lower limb muscles during rowing provides a means for the cardiovascular conditioning in paraplegia. The possibility of shaping stimulation profiles according to changes in knee angle, so far conceived as changes in seat position, may help circumventing open issues associated with muscle fatigue and movement coordination. Here, we present a subject-specific biomechanical model for the estimation of knee joint angle during indoor rowing. Anthropometric measurements and foot and seat positions are inputs to the model. We tested our model on two samples of elite rowers; 15 able-bodied, and 11 participants in the Rio 2016 Paralympic games. Paralympic rowers presented minor physical disabilities (LTA-PD classification), enabling them to perform the full rowing cycle (with legs, trunks, and arms). Knee angle was estimated from the rowing machine seat position, measured with a linear encoder, and transmitted wirelessly to a computer. Key results indicate the root mean square error (RMSE) between estimated and measured angles did not depend on group and stroke rate ( ${p} > \textsf {0.267}$ ). Significantly greater RMSE values were observed, however, within the rowing cycle ( ${p} < \textsf {0.001}$ ), reaching on average 8 deg in the mid-recovery phase. Differences between estimated and measured knee angle values resulted in slightly earlier (5%) detection of knee flexion, regardless of the group and stroke rate considered. Offset of knee extension, knee angle at catch and range of knee motion were identified equally well with our model and with inertial sensors. These results suggest our model describes accurately the movement of knee joint during indoor rowing.