Research into Artifacts, Center for Engineering (RACE), The University of Tokyo, Chiba 277-8568, Japan.
Faculty of Nursing, Kanto Gakuin University, Yokohama 236-8501, Japan.
Sensors (Basel). 2018 Sep 6;18(9):2975. doi: 10.3390/s18092975.
Currently, due to shortages in the nursing faculty and low access to actual patients, it is difficult for students to receive feedback from teachers and practice with actual patients to obtain clinic experience. Thus, both evaluation systems and simulated patients have become urgent requirements. Accordingly, this study proposes a method to evaluate the nurse's transfer skill through observation from the patient. After verifying the proposed method, it will be integrated with a robotic patient as a future work. To verify if such an evaluation is practical, a checklist comprising 16 steps with correct and incorrect methods was proposed by the nursing teachers. Further, the evaluation parameters were determined as translational acceleration, rotational speed, and joint angle of patient. Inertial sensors and motion capture were employed to measure the translational acceleration, rotational speed, and joint angle. An experiment was conducted with two nursing teachers, who were asked to carry out both correct and incorrect methods. According to the results, three parameters reveal the difference for a patient under correct/incorrect methods and can further be used to evaluate the nurse's skill once the thresholds are determined. In addition, the applicability of inertial sensors is confirmed for the use of robot development.
目前，由于护理教师短缺，以及学生难以接触到实际患者，他们难以从教师那里获得反馈并通过实际患者练习来获得临床经验。因此，评估系统和模拟患者都成为了迫切的需求。有鉴于此，本研究提出了一种通过观察患者来评估护士转移动作的方法。在验证了所提出的方法后，它将与机器人患者集成作为未来的工作。为了验证这种评估的实用性，护理教师提出了一份包含 16 个步骤的检查表，其中列出了正确和错误的方法。此外，评估参数被确定为患者的平移加速度、旋转速度和关节角度。本研究使用惯性传感器和运动捕捉来测量平移加速度、旋转速度和关节角度。实验邀请了两位护理教师进行，要求他们分别执行正确和错误的方法。根据结果，三个参数可以揭示患者在正确/错误方法下的差异，并且一旦确定了阈值，就可以进一步用于评估护士的技能。此外，惯性传感器的适用性已经在机器人开发中得到了确认。
