Pepley David F, Yovanoff Mary A, Mirkin Katelin A, Miller Scarlett R, Han David C, Moore Jason Z
Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA 16802.
Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802.
J Med Device. 2018 Mar;12(1):0145011-145015. doi: 10.1115/1.4038562. Epub 2017 Dec 5.
Accurate force simulation is essential to haptic simulators for surgical training. Factors such as tissue inhomogeneity pose unique challenges for simulating needle forces. To aid in the development of haptic needle insertion simulators, a handheld force sensing syringe was created to measure the motion and forces of needle insertions. Five needle insertions were performed into the neck of a cadaver using the force sensing syringe. Based on these measurements a piecewise exponential needle force characterization, was implemented into a haptic central venous catheterization (CVC) simulator. The haptic simulator was evaluated through a survey of expert surgeons, fellows, and residents. The maximum needle insertion forces measured ranged from 2.02 N to 1.20 N. With this information, four characterizations were created representing average, muscular, obese, and thin patients. The median survey results showed that users statistically agreed that "the robotic system made me sensitive to how patient anatomy impacts the force required to advance needles in the human body." The force sensing syringe captured force and position information. The information gained from this syringe was able to be implemented into a haptic simulator for CVC insertions, showing its utility. Survey results showed that experts, fellows, and residents had an overall positive outlook on the haptic simulator's ability to teach haptic skills.
精确的力模拟对于用于手术训练的触觉模拟器至关重要。诸如组织不均匀性等因素给模拟针插入力带来了独特的挑战。为了辅助触觉针插入模拟器的开发,制作了一种手持式力传感注射器来测量针插入的运动和力。使用力传感注射器对一具尸体的颈部进行了五次针插入操作。基于这些测量结果,在触觉中心静脉置管(CVC)模拟器中实现了分段指数针力特征描述。通过对专家外科医生、住院医师和实习医生的调查对触觉模拟器进行了评估。测得的最大针插入力范围为2.02牛至1.20牛。利用这些信息,创建了四种特征描述,分别代表平均体型、肌肉发达、肥胖和消瘦的患者。调查结果的中位数显示,用户在统计学上一致认为“机器人系统让我意识到患者解剖结构如何影响在人体中推进针所需的力”。力传感注射器捕获了力和位置信息。从该注射器获得的信息能够应用于CVC插入的触觉模拟器中,显示出其效用。调查结果表明,专家、住院医师和实习医生对触觉模拟器教授触觉技能的能力总体持积极看法。