System for Central Venous Catheterization Training Using Computer Vision-Based Workflow Feedback.
System for Central Venous Catheterization Training Using Computer Vision-Based Workflow Feedback.
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DOI：
10.1109/tbme.2021.3124422
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发表时间：
2022-05
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开发一种不需要专业观察员的中心静脉导管插入术培训系统。我们提出了一个培训系统，使用基于视频的工作流程识别和电磁跟踪，为学员提供实时的指导和反馈。该系统为学员提供有关即将完成的任务的提示和有关工作流程错误的视觉提示。大多数任务都是使用卷积神经网络和递归神经网络的组合从网络摄像头视频中识别的。我们通过计算被识别的任务的百分比和系统与审阅者之间的平均签名过渡延迟来评估系统识别工作流中任务的能力。我们还评估了系统的可用性，使用参与者问卷调查。该系统能够识别工作流中86.2%的任务。平均有符号过渡延迟为-0.7s。调查问卷的平均可用性评分为4.7分（满分5分）。参与者发现交互式任务列表是该系统最有用的组成部分，平均得分为4.8分（满分5分）。总体而言，与会者对该系统的反应是积极的。与会者认为，该系统将是有用的中心静脉置管培训。我们的系统为学员提供有意义的指导和反馈，而不需要一个专家观察员在场。通过使用工作流程识别，我们能够为学员提供更多机会来获取指导和有意义的反馈。
To develop a system for training central venous catheterization that does not require an expert observer. We propose a training system that uses video-based workflow recognition and electromagnetic tracking to provide trainees with real-time instruction and feedback. The system provides trainees with prompts about upcoming tasks and visual cues about workflow errors. Most tasks are recognized from a webcam video using a combination of a convolutional neural network and a recurrent neural network. We evaluated the system’s ability to recognize tasks in the workflow by computing the percent of tasks that were recognized and the average signed transitional delay between the system and reviewers. We also evaluated the usability of the system using a participant questionnaire. The system was able to recognize 86.2% of tasks in the workflow. The average signed transitional delay was −0.7s. The average usability score on the questionnaire was 4.7 out of 5 for the system overall. The participants found the interactive task list to be the most useful component of the system with an average score of 4.8 out of 5. Overall, the participants’ response to the system was positive. Participants perceived that the system would be useful for central venous catheterization training. Our system provides trainees with meaningful instruction and feedback without needing an expert observer to be present. We are able to provide trainees with more opportunities to access instruction and meaningful feedback by using workflow recognition.