Chebbi Aida, Robinson Rachel M, Donahue Seth R, Hahn Michael E
Knight Campus for Accelerating Scientific Impact, University of Oregon, Eugene, OR, USA.
Department of Human Physiology, University of Oregon, Eugene, OR, USA.
Wearable Technol. 2025 Feb 28;6:e14. doi: 10.1017/wtc.2025.4. eCollection 2025.
This study introduces a novel method for gait analysis using a single inertial measurement unit placed on the sacrum. This method is valid not only on level ground but also on incline and decline conditions. The method leverages the "crackle" function, the third derivative of the sacral resultant acceleration, to identify right and left gait events. This approach is particularly effective in capturing the initial peak in acceleration data during foot impact with the ground, often overlooked by other methods. The study aimed to demonstrate the method's accuracy in identifying the right- and left-side impacts during level ground, incline, and decline runs across a range of speeds. Additionally, the algorithm was applied in outdoor running scenarios, where it performed very well, further validating its robustness and reliability. The results are compared with other existing methods to highlight the effectiveness of this approach.
本研究介绍了一种使用置于骶骨上的单个惯性测量单元进行步态分析的新方法。该方法不仅在平地上有效，在斜坡和下坡条件下也有效。该方法利用“噼啪”函数，即骶骨合成加速度的三阶导数，来识别左右步态事件。这种方法在捕捉足部与地面接触时加速度数据中的初始峰值方面特别有效，而这一峰值常被其他方法忽略。该研究旨在证明该方法在识别不同速度下平地、斜坡和下坡跑步过程中左右侧冲击的准确性。此外，该算法应用于户外跑步场景，表现非常出色，进一步验证了其稳健性和可靠性。将结果与其他现有方法进行比较，以突出这种方法的有效性。
