Instrumenting gait with an accelerometer: a system and algorithm examination.
Instrumenting gait with an accelerometer: a system and algorithm examination.
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DOI：
10.1016/j.medengphy.2015.02.003
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发表时间：
2015-04
影响因子：
2.2
通讯作者：
Rochester L
中科院分区：
文献类型：
--
作者：
Godfrey A;Del Din S;Barry G;Mathers JC;Rochester L
详细调查解释加速度计和仪器人行道之间差的可变性/不对称一致性。在选择验证研究的参考系统时，应谨慎行事。加速度计有潜力收集连续和健壮的时空步态数据，代表正常生活。需要进一步改进步态算法。步态是一项重要的临床评估工具，因为步态的变化可以反映一般健康状况的变化。步态测量是一个复杂的过程，直到最近才局限于实验室。具有适当步态算法（BWM）的廉价体戴传感器的应用是一种有吸引力的替代方案，并提供了在任何环境下评估步态的潜力。在这项研究中，我们调查了低成本BWM的使用，与使用稳健测试方案的实验室参考在年轻人和老年人中进行比较。我们观察到BWM是估计总步数和平均时空步态特征的有效工具，但变异性和不对称性结果的一致性较差。我们进行了详细的调查，以解释系统之间的一致性差，并确定这是由于系统之间的固有差异，而不是传感器无法测量步态特征。结果强调了在验证研究中选择参考系统的谨慎性。本研究中使用的BWM具有收集纵向（现实世界）时空步态数据的潜力，这些数据可以很容易地用于大型基于生活方式的干预研究，但需要进一步改进算法。
Detailed investigation to explain poor variability/asymmetry agreement between accelerometers and instrumented walkway. Caution is urged in the choice of reference system for validation studies. Accelerometers have potential to gather continuous and robust spatio-temporal gait data, representative of normal living. Further refinement of the gait algorithms are required. Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to the laboratory until relatively recently. The application of an inexpensive body worn sensor with appropriate gait algorithms (BWM) is an attractive alternative and offers the potential to assess gait in any setting. In this study we investigated the use of a low-cost BWM, compared to laboratory reference using a robust testing protocol in both younger and older adults. We observed that the BWM is a valid tool for estimating total step count and mean spatio-temporal gait characteristics however agreement for variability and asymmetry results was poor. We conducted a detailed investigation to explain the poor agreement between systems and determined it was due to inherent differences between the systems rather than inability of the sensor to measure the gait characteristics. The results highlight caution in the choice of reference system for validation studies. The BWM used in this study has the potential to gather longitudinal (real-world) spatio-temporal gait data that could be readily used in large lifestyle-based intervention studies, but further refinement of the algorithm(s) is required.