Statistics-based technique for automated detection of gait events from accelerometer signals
Statistics-based technique for automated detection of gait events from accelerometer signals
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DOI：
10.1049/el.2010.2118
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发表时间：
2010-10-28
影响因子：
1.1
通讯作者：
Fernandez-Lopez, G.
中科院分区：
文献类型：
--
作者：
Torrealba, R. R.;Cappelletto, J.;Fernandez-Lopez, G.
为了控制膝上截肢者的智能膝关节假体，开发了一种算法来直接从假体上捕获的加速度计信号检测步态事件。使用这种技术，几个事件自动检测沿着步态周期。该技术的简单性和有效性的证明，显示自动适应性，即使在步态模式的幅度和频率变化，同时解决固有的校准问题，如偏移和比例因子。结果同样适用于完整的肢体和进一步的应用程序也有可能为事件检测周期性信号与尖峰。
To control an intelligent knee prosthesis for above-knee amputees, an algorithm is developed to detect gait events directly from accelerometer signals captured on the prosthesis. Using this technique, several events are automatically detected along the gait cycle. The simplicity and effectiveness of the technique is demonstrated, showing automated adaptability even for amplitude and frequency variations in gait pattern, while solving problems inherent to calibration such as offsets and scale factors. Results are equally applicable to intact limbs and further applications are also possible for events detection on periodic signals with spikes.