The Northeast Center for Occupational Health and Safety: Agriculture, Forestry and Fishing, Bassett Healthcare Network Research Institute, Cooperstown, New York.
Am J Ind Med. 2019 Oct;62(10):883-892. doi: 10.1002/ajim.23020. Epub 2019 Jul 22.
Falls overboard are the most common cause of fatalities in commercial fishing. As a result, interventions aimed at increasing and measuring the use of personal flotation devices (PFDs) are a high priority. The focus of this study was to explore the use of accelerometers as a means for objectively measuring PFD use on lobster fishing vessels.
For participating vessels, researchers attached an accelerometer to a PFD worn by a crewmember and another to the vessel's wheelhouse. GoPro videos were also employed to record crewmember activities so these could be synchronized with accelerometer outputs. Accelerometer outputs included two distinct measures, the proportional integration mode (PIM) and zero crossing mode (ZCM). Data were fitted to various equations to identify the best method for predicting PFD use.
Seven lobster fishing vessels participated in the trial. Data indicated that accelerometers could predict PFD use with a fairly high degree of accuracy. In particular, a logistic equation incorporating PIM values from the PFD and the absolute value of the difference between the PFD PIM readings and the PIM readings from the stationary accelerometer demonstrated the highest degree of accuracy, with correct classifications for 73.3% to 77.6% of the 10-second data intervals. Accuracy was highest when crew members were moving versus stationary. The predictive value of ZCM was comparatively limited.
PIM accelerometer readings can be used to measure PFD use with a considerably high degree of accuracy, especially for sternmen who are moving regularly and have the highest risk for falling overboard.
落水是商业捕鱼中最常见的致命原因。因此，增加和衡量个人漂浮装置（PFD）使用的干预措施是当务之急。本研究的重点是探讨使用加速度计作为客观测量龙虾捕捞船上 PFD 使用情况的一种手段。
对于参与的船只，研究人员将一个加速度计附在船员佩戴的 PFD 上，另一个附在船只的驾驶室上。还使用了 GoPro 视频来记录船员的活动，以便与加速度计输出同步。加速度计输出包括两种不同的测量方式，比例积分模式（PIM）和零交叉模式（ZCM）。数据拟合了各种方程，以确定预测 PFD 使用的最佳方法。
七艘龙虾捕捞船参与了试验。数据表明，加速度计可以相当准确地预测 PFD 的使用情况。特别是，将 PFD 的 PIM 值与 PFD 的 PIM 值读数与静止加速度计的 PIM 值读数之间的绝对值之差相结合的逻辑方程表现出最高的准确性，对 10 秒数据间隔的 73.3%至 77.6%的正确分类。当船员移动时，准确性最高。ZCM 的预测值相对有限。
PIM 加速度计读数可以用于非常准确地测量 PFD 的使用情况，特别是对于经常移动且有落水风险最高的尾板人员。
