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Safety analysis and control of a robotic spinal surgical system

机译:机器人脊柱外科手术系统的安全性分析与控制

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摘要

Screw path drilling is one of the most common and high-risk operations in many kinds of orthopedic surgery, especially in spinal surgeries. During spinal surgery, the bone screws are inserted into the vertebral body from the narrow vertebral pedicles. Any failures in this process will hurt important vessels and nerves of the patient. In this paper two aspects of the safety issues with using the Robotic Spinal Surgery System (RSSS) are analyzed: movement control and real-time operation control. For the safety motion control of the RSSS, two modes are developed: the cooperative control mode for positioning and the fine adjustment mode for precisely adjusting orientation. An automatic calibration algorithm for force/torque sensors is proposed to eliminate gravity effects. Guidance Virtual Fixtures (GVFs) and Forbidden Region Virtual Fixtures (FRVFs) are used to limit the movement of the RSSS. Damping Region Virtual Fixtures (DRVFs) are proposed to prevent the RSSS from crossing the constraint surface and harming the patient's body. In the path drilling process, a state recognition algorithm is proposed to simulate the feeling in the hand of the surgeon during surgery. Based on force feature extraction and state recognition algorithm, 5 states in the drilling process are recognized, and the control point, which is the stop point of drilling, is found. Experiments are carried out to verify the DRVFs effects in the motion control of RSSS, the state recognition and safety control of the pedicle drilling.
机译:在许多整形外科手术中,特别是在脊柱外科手术中,螺旋路径钻孔是最常见且高风险的操作之一。在脊柱外科手术期间,将骨螺钉从狭窄的椎弓根插入椎体。此过程中的任何故障都会伤害患者的重要血管和神经。本文分析了使用机器人脊柱外科手术系统(RSSS)的两个安全问题:运动控制和实时操作控制。对于RSSS的安全运动控制,开发了两种模式:用于定位的协作控制模式和用于精确调整方向的微调模式。提出了一种用于力/转矩传感器的自动校准算法,以消除重力影响。指导虚拟固定装置(GVF)和禁区虚拟固定装置(FRVF)用于限制RSSS的移动。为了防止RSSS越过约束面并伤害患者的身体,建议使用阻尼区域虚拟固定装置(DRVF)。在路径钻进过程中,提出了一种状态识别算法来模拟手术过程中外科医生的手感。基于力特征提取和状态识别算法,识别出钻孔过程中的5种状态,并找到控制点,即钻孔的停止点。进行实验以验证DRVFs在RSSS的运动控制,椎弓根钻孔的状态识别和安全控制中的作用。

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