Novel methods to detect impacts within whole-body vibration time series data.

Novel methods to detect impacts within whole-body vibration time series data.
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检测全身振动时间序列数据影响的新方法。

DOI:
10.1080/00140139.2022.2041735
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发表时间:
2022
期刊:
影响因子:
2.4
通讯作者:
Fethke,NathanB
Fethke,NathanB
中科院分区:
工程技术3区
文献类型:
--
作者:
Roeder,ShamusK;Wilder,DavidG;Fethke,NathanB

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我们提出了三个候选数学模型,用于在全身振动(WBV)背景下检测时间序列加速度计数据中的影响。除了WBV,数据还包括在以前的研究中使用农业机器时收集的竖脊肌肌肉活动和躯干姿势的记录。对于每一个模型,我们评估了几个机械和生物力学变量之间的关联,在预测的影响开始的时间和随后观察到竖脊肌肌肉的双边反应的几率。对于所有的模型,躯干姿势在冲击发生时与观察到的双边肌肉反应密切相关,这些协会没有观察到随机分配的影响。结果提供了一个框架,用于描述的数量和幅度的影响,可能有助于克服目前的暴露指标,如振动剂量值的模糊性,并强调在职业WBV exposs.Practitioner摘要评价考虑姿势的重要性:常见的指标暴露于全身振动不量化的数量或幅度的影响内的时间序列加速度计数据。三个候选人的影响检测方法,并使用真实世界的数据收集在农业机器的使用过程中进行评估。结果强调了在评估振动暴露时考虑姿势的重要性。
We present three candidate mathematical models for detecting impacts within time series accelerometer data in the context of whole-body vibration (WBV). In addition to WBV, data included recordings of erector spinae muscle activity and trunk posture collected during use of agricultural machines in a previous study. For each model, we evaluated associations between several mechanical and biomechanical variables at the time of predicted impact onset and the odds of subsequently observing a bilateral response of the erector spinae muscles. For all models, trunk posture at the time of impact onset was strongly associated with an observed bilateral muscle response; these associations were not observed when impacts were randomly assigned. Results provide a framework for describing the number and magnitudes of impacts that may help overcome ambiguities in current exposure metrics, such as the vibration dose value, and highlight the importance of considering posture in the evaluation of occupational WBV exposures.Practitioner summary:Common metrics of exposure to whole-body vibration do not quantify the number or magnitudes of impacts within time series accelerometer data. Three candidate impact detection methods are presented and evaluated using real-world data collected during use of agricultural machines. Results highlight the importance of considering posture when evaluating vibration exposure.
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