Zago Matteo, Sforza Chiarella, Pacifici Ilaria, Cimolin Veronica, Camerota Filippo, Celletti Claudia, Condoluci Claudia, De Pandis Maria Francesca, Galli Manuela
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, MI, Italy; Fondazione Istituto Farmacologico Filippo Serpero Viale Luigi, Majno 40, 20122 Milano, Italy.
Department of Biomedical Sciences for Health, Università degli Studi di Milano, via Mangiagalli 31, 20133 Milan, MI, Italy; Institute of Molecular Bioimaging and Physiology, National Research Council, via Fratelli Cervi, 20090 Segrate, MI, Italy.
J Electromyogr Kinesiol. 2018 Oct;42:44-48. doi: 10.1016/j.jelekin.2018.06.009. Epub 2018 Jun 18.
We investigated whether a wearable system based on a commercial Inertial Measurement Unit (IMU) can reliably provide the main spatiotemporal gait parameters in subjects with Parkinson's disease (PD), compared to a gold-standard optoelectronic motion capture system. The gait of 22 subjects with PD (Age: 69.4 (6.1) years; UPDRS-III: 28.0 (9.2)) was recorded simultaneously with an optoelectronic system and a commercial IMU-based wearable system. Eight spatiotemporal parameters describing the step cycle (cadence, velocity, stride length, stride duration, step length, stance, swing and double support duration) were compared between the two systems. The IMU and the optical system reported comparable gait parameters, with the exception of walking velocity (optical system, 0.72 (0.27) m∙s vs. IMU: 0.86 (0.26) m∙s, p < 0.05). Although most parameters detected by the two systems were not statistically different, some of them like stride length, double support and step duration showed notable root mean square and mean absolute errors. In conclusion, the algorithm embedded in the current release of the commercial IMU requires further improvements to be properly used with subjects with PD. Overall, the IMU system was sufficiently accurate in the assessment of fundamental gait spatiotemporal parameters. The fast and simplified data recording process allowed by wearables makes this technology appealing and represents a possible solution for the quantification of gait in the clinical context, especially when using a traditional 3D optoelectronic gait analysis is not possible, and when subjects are not fully cooperative.
我们研究了一种基于商用惯性测量单元（IMU）的可穿戴系统，与金标准光电运动捕捉系统相比，能否可靠地提供帕金森病（PD）患者的主要时空步态参数。使用光电系统和基于商用IMU的可穿戴系统同时记录了22例PD患者（年龄：69.4（6.1）岁；统一帕金森病评定量表第三部分（UPDRS-III）评分：28.0（9.2））的步态。比较了两个系统之间描述步周期的八个时空参数（步频、速度、步幅长度、步幅持续时间、步长、站立期、摆动期和双支撑持续时间）。除步行速度外（光电系统，0.72（0.27）m∙s，而IMU为：0.86（0.26）m∙s，p<0.05），IMU和光学系统报告的步态参数具有可比性。虽然两个系统检测到的大多数参数在统计学上没有差异，但其中一些参数，如步幅长度、双支撑和步持续时间显示出显著的均方根误差和平均绝对误差。总之，当前商用IMU版本中嵌入的算法需要进一步改进，以便能在PD患者中正确使用。总体而言，IMU系统在评估基本步态时空参数方面足够准确。可穿戴设备允许的快速且简化的数据记录过程使这项技术具有吸引力，并且代表了在临床环境中量化步态的一种可能解决方案，特别是在无法使用传统的3D光电步态分析以及患者不完全配合的情况下。
