IEEE Trans Neural Syst Rehabil Eng. 2018 Nov;26(11):2145-2152. doi: 10.1109/TNSRE.2018.2876634. Epub 2018 Oct 17.
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 ( ). Significantly greater RMSE values were observed, however, within the rowing cycle ( ), 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.
下肢肌肉功能性电刺激在截瘫患者的心血管功能训练中提供了一种手段。根据膝关节角度的变化(迄今为止被认为是座位位置的变化)来塑造刺激模式的可能性,可能有助于解决与肌肉疲劳和运动协调相关的未解决问题。在这里,我们提出了一个用于估计室内划船时膝关节角度的特定于个体的生物力学模型。人体测量学测量值和脚及座位位置是模型的输入。我们在两个样本的精英划艇运动员中测试了我们的模型:15 名健全人,和 11 名参加 2016 年里约残奥会的运动员。残奥会运动员患有轻度身体残疾(LTA-PD 分类),使他们能够完成整个划船周期(使用腿、躯干和手臂)。膝关节角度是根据划船机座位位置估算的,座位位置用线性编码器测量,并通过无线传输到计算机。主要结果表明,估计角度和测量角度之间的均方根误差(RMSE)不依赖于组和划桨率()。然而,在划船周期内观察到显著更大的 RMSE 值(),平均在中恢复阶段达到 8 度。估计和测量的膝关节角度值之间的差异导致膝关节弯曲的检测时间提前了 5%(无论考虑的组和划桨率如何)。无论考虑的组和划桨率如何,我们的模型和惯性传感器都能同样准确地识别出膝关节伸展的起始点、膝关节角度在抓水时的位置和膝关节运动的范围。这些结果表明,我们的模型准确地描述了室内划船时膝关节的运动。