Department of Mechanical Engineering, University of Canterbury, New Zealand; Auckland Bioengineering Institute, the University of Auckland, New Zealand.
Department of Mechanical Engineering, University of Canterbury, New Zealand; School Of Engineering, Monash University Malaysia, Malaysia.
Intensive Crit Care Nurs. 2016 Dec;37:52-61. doi: 10.1016/j.iccn.2016.05.003. Epub 2016 Jul 9.
Monitoring clinical activity at the bedside in the intensive care unit (ICU) can provide useful information to evaluate nursing care and patient recovery. However, it is labour intensive to quantify these activities and there is a need for an automated method to record and quantify these activities. This paper presents an automated system, Clinical Activity Tracking System (CATS), to monitor and evaluate clinical activity at the patient's bedside. The CATS uses four Microsoft Kinect infrared sensors to track bedside nursing interventions. The system was tested in a simulated environment where test candidates performed different motion paths in the detection area. Two metrics, 'Distance' and 'Dwell time', were developed to evaluate interventions or workload in the detection area. Results showed that the system can accurately track the intervention performed by individual or multiple subjects. The results of a 30-day, 24-hour preliminary study in an ICU bed space matched clinical expectations. It was found that the average 24-hour intervention is 22.0minutes/hour. The average intervention during the day time (7am-11pm) is 23.6minutes/hour, 1.4 times higher than 11pm-7am, 16.8minutes/hour. This system provides a unique approach to automatically collect and evaluate nursing interventions that can be used to evaluate patient acuity and workload demand.
在重症监护病房（ICU）床边监测临床活动可以提供有用的信息来评估护理和患者康复情况。然而，对这些活动进行量化是劳动密集型的，因此需要一种自动方法来记录和量化这些活动。本文提出了一种自动系统，即临床活动跟踪系统（CATS），用于监测和评估患者床边的临床活动。CATS 使用四个 Microsoft Kinect 红外传感器来跟踪床边护理干预。该系统在模拟环境中进行了测试，测试人员在检测区域执行不同的运动路径。开发了两个指标，“距离”和“停留时间”，以评估检测区域中的干预措施或工作量。结果表明，该系统可以准确地跟踪单个或多个对象执行的干预措施。在 ICU 床位空间进行的 30 天 24 小时初步研究的结果与临床预期相符。结果发现，平均 24 小时的干预时间为 22.0 分钟/小时。白天（7am-11pm）的平均干预时间为 23.6 分钟/小时，是夜间（11pm-7am）的 16.8 分钟/小时的 1.4 倍。该系统提供了一种自动收集和评估护理干预的独特方法，可用于评估患者的病情严重程度和工作量需求。
