SBIR Phase I: Robotic Scrub Technician

SBIR 第一阶段：机器人擦洗技术员

• 批准号: 0319860
• 负责人: Michael Treat
• 金额: $ 9.49万
• 依托单位: ROBOTIC SURGICAL TECH, INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-01 至 2003-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0319860&HistoricalAwards=false
• 关键词: SBIR; Phase; Robotic; Scrub; Technician

This Small Business Innovation Research (SBIR) Phase I project proposes to develop the initial component of a cognitive structure for a robotic scrub technician in the operating room. The scrub technician will maintain a tray of instruments, handing an instrument to the surgeon when requested and retrieving the instrument when the surgeon is finished with it. The opportunity is to reduce hospital personnel costs and alleviate a critical nursing shortage problem. The problem is to provide the robot with situational awareness comparable to an experienced human scrub technician, particularly in the ability to anticipate the surgeon's next request. The objective of the project is to determine the feasibility of using artificial intelligence and statistical techniques to provide this ability. The research method will compare selected techniques for time series prediction and classification, using data sets from actual surgeries. The candidate techniques will include first to third order Markov methods, N-sequence matching, neural networks and fuzzy set based inference. The end product is expected to be a prediction engine that will enable the clinical version of the robot to perform as well or better than an experienced human scrub technician. The commercial application of this project is in the area of biomedical devices and instrumentation.

这个小企业创新研究（SBIR）第一阶段项目建议为手术室中的机器人擦洗技术人员开发认知结构的初始组件。擦洗技术员将维护一个器械托盘，在需要时将器械交给外科医生，并在外科医生使用完器械后取回器械。这样做可以降低医院的人力成本，缓解严重的护理短缺问题。问题是为机器人提供与经验丰富的人类擦洗技术人员相当的态势感知能力，特别是预测外科医生下一个请求的能力。该项目的目标是确定使用人工智能和统计技术来提供这种能力的可行性。该研究方法将使用来自实际手术的数据集比较用于时间序列预测和分类的选定技术。候选技术将包括第一至第三阶马尔可夫方法，N序列匹配，神经网络和基于模糊集的推理。最终产品预计将是一个预测引擎，使机器人的临床版本能够与经验丰富的人类擦洗技术人员一样或更好地执行。该项目的商业应用是在生物医学设备和仪器领域。