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Integrative Upper-Limb Rehabilitation with BrightArm DuoTM in the Early Sub-Acute Phase of Recovery Post-Stroke 脑卒中后早期亚急性期康复的综合上肢康复
Pub Date : 2017-03-17 DOI: 10.1142/S2424905X17400049
G. House, G. Burdea, N. Grampurohit, K. Polistico, D. Roll, F. Damiani
The Bright Arm Duo is a low-friction robotic rehabilitation table that adaptably trains dual arm movement and grasp through interaction with serious games. In early sub-acute phase post-stroke, N=3 experimental group received conventional rehabilitation plus 12 BrightArm Duo sessions, each inducing up to 600 arm and hand repetitions. N=9 control group received conventional rehabilitation only. Improvement for the experimental group was better than controls across 11 of 12 functional metrics and activities of daily living (p=0.006).
Bright Arm Duo是一个低摩擦的机器人康复台,通过与严肃游戏的互动来适应训练双臂运动和抓握。在脑卒中后早期亚急性期,N=3实验组接受常规康复治疗加12次BrightArm Duo训练,每次训练600次手臂和手部重复。对照组仅接受常规康复治疗9例。实验组在12项功能指标和日常生活活动中的11项改善优于对照组(p=0.006)。
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引用次数: 3
Comparison of Optimization Algorithms for a Tubular Aspiration Robot for Maximum Coverage in Intracerebral Hemorrhage Evacuation 最大覆盖脑出血引流管式机器人优化算法比较
Pub Date : 2017-02-26 DOI: 10.1142/S2424905X17500040
J. Granna, Yi Guo, K. Weaver, J. Burgner-Kahrs
Intracerebral hemorrhage evacuation (ICH) using a tubular aspiration robot promises benefits over conventional approaches to release the pressure of an hemorrhage within the brain. The blood of the hemorrhage is evacuated through preplanned, coordinated motion of a flexible, curved, concentric tube that aspirates from within the hemorrhage. To achieve maximum decompression, the curvature of the inner aspirator tube has to be selected such that its workspace covers the hemorrhage. As the use of multiple aspiration tubes sequentially is advisable, one can perform an exhaustive search over all possible aspiration tube shapes as has been previously proposed in the literature. In this paper, we introduce a new optimization algorithm which is computationally more efficient and thus allows for quick optimization during surgery. To demonstrate its performance and compare it to the previously proposed exhaustive search algorithm, we present experimental evaluation results on 175 simulated patient trials.
使用管状抽吸机器人的脑出血清除(ICH)有望比传统方法更有效地释放颅内出血的压力。出血的血液通过一个灵活的、弯曲的同心管的预先计划的、协调的运动从出血中抽吸出来。为了达到最大程度的减压,必须选择内吸引管的曲率,使其工作空间覆盖出血。由于顺序使用多个抽吸管是可取的,因此可以像以前在文献中提出的那样,对所有可能的抽吸管形状进行详尽的搜索。在本文中,我们介绍了一种新的优化算法,该算法计算效率更高,从而允许在手术过程中快速优化。为了证明其性能并将其与先前提出的穷举搜索算法进行比较,我们给出了175个模拟患者试验的实验评估结果。
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引用次数: 9
Automated Task Load Detection with Electroencephalography: Towards Passive Brain-Computer Interfacing in Robotic Surgery 自动任务负荷检测与脑电图:迈向被动脑机接口在机器人手术
Pub Date : 2017-02-26 DOI: 10.1142/S2424905X17500039
T. Zander, K. Shetty, R. Lorenz, D. Leff, L. R. Krol, A. Darzi, K. Gramann, Guang-Zhong Yang
Automatic detection of the current task load of a surgeon in the theatre in real time could provide helpful information, to be used in supportive systems. For example, such information may enable the system to automatically support the surgeon when critical or stressful periods are detected, or to communicate to others when a surgeon is engaged in a complex maneuver and should not be disturbed. Passive brain–computer interfaces (BCI) infer changes in cognitive and affective state by monitoring and interpreting ongoing brain activity recorded via an electroencephalogram. The resulting information can then be used to automatically adapt a technological system to the human user. So far, passive BCI have mostly been investigated in laboratory settings, even though they are intended to be applied in real-world settings. In this study, a passive BCI was used to assess changes in task load of skilled surgeons performing both simple and complex surgical training tasks. Results indicate that the introduced methodo...
实时自动检测手术室中外科医生的当前任务负荷可以提供有用的信息,用于支持系统。例如,此类信息可使系统在检测到关键或紧张时期时自动支持外科医生,或在外科医生从事复杂操作且不应被打扰时与他人通信。被动脑机接口(BCI)通过监测和解释脑电图记录的持续大脑活动来推断认知和情感状态的变化。由此产生的信息可用于自动调整技术系统以适应人类用户。到目前为止,被动式脑机接口主要是在实验室环境中进行研究,尽管它们的目的是在现实环境中应用。在这项研究中,被动式脑机接口被用于评估熟练外科医生执行简单和复杂手术训练任务时任务负荷的变化。结果表明,所提出的方法具有良好的应用前景。
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引用次数: 27
Autonomous Control of Continuum Robot Manipulators for Complex Cardiac Ablation Tasks 复杂心脏消融任务连续统机器人的自主控制
Pub Date : 2017-02-26 DOI: 10.1142/S2424905X17500027
Michael C. Yip, Jake Sganga, David B. Camarillo
Continuum manipulators enable minimally-invasive surgery on the beating heart, but the challenges involved in manually controlling the manipulator’s tip position and contact force with the tissue result in failed procedures and complications. The objective of this work is to achieve autonomous robotic control of a continuum manipulator’s position and force in a beating heart model. We present a model-less hybrid control approach that regulates the tip position/force of manipulators with unknown kinematics/mechanics, under unknown constraints along the manipulator’s body. The algorithms estimate the Jacobian in the presence of heartbeat disturbances and sensor noise in real time, enabling closed-loop control. Using this model-less control approach, a robotic catheter autonomously traced clinically relevant paths on a simulated beating heart environment while regulating contact force. A gating procedure is used to tighten the treatment margins and improve precision. Experimental results demonstrate the capabilities of the robot (1.4±1.1mm–1.9±1.4mm tracking error) while user demonstrations show the difficulty of manually performing the same task (2.6±2.0mm–4.3±3.9mm tracking error). This new, robotically-enabled contiguous ablation method could reduce ablation path discontinuities, improve consistency of treatment, and therefore improve clinical outcomes.
连续机械臂可以对跳动的心脏进行微创手术,但手动控制机械臂尖端位置和与组织接触力的挑战导致手术失败和并发症。本研究的目的是实现连续体机械臂在心脏跳动模型中的位置和力的自主控制。我们提出了一种无模型的混合控制方法,该方法可以在未知约束条件下,调节具有未知运动学/力学的机械臂的尖端位置/力。该算法在存在心跳干扰和传感器噪声的情况下实时估计雅可比矩阵,实现闭环控制。利用这种无模型控制方法,机器人导管在模拟心脏搏动环境中自主追踪临床相关路径,同时调节接触力。浇注过程用于收紧处理余量并提高精度。实验结果证明了机器人的能力(1.4±1.1mm-1.9±1.4mm跟踪误差),而用户演示显示了手动执行相同任务的难度(2.6±2.0mm-4.3±3.9mm跟踪误差)。这种新的机器人连续消融方法可以减少消融路径的不连续性,提高治疗的一致性,从而改善临床结果。
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引用次数: 34
Intraoperative Manufacturing of Patient-Specific Instrumentation for Shoulder Arthroplasty: A Novel Mechatronic Approach 肩关节置换术中制造患者专用器械:一种新的机电一体化方法
Pub Date : 2016-11-30 DOI: 10.1142/S2424905X16500057
A. Darwood, R. Secoli, Stuart A. Bowyer, A. Leibinger, R. Richards, P. Reilly, A. Dawood, A. Tambe, R. Emery, F. Baena
Optimal orthopaedic implant placement is a major contributing factor to the long term success of all common joint arthroplasty procedures. Devices such as three-dimensional (3D) printed, bespoke guides and orthopaedic robots are extensively described in the literature and have been shown to enhance prosthesis placement accuracy. These technologies, however, have significant drawbacks, such as logistical and temporal inefficiency, high cost, cumbersome nature and difficult theatre integration. A new technology for the rapid intraoperative production of patient-specific instrumentation, which overcomes many of the disadvantages of existing technologies, is presented here. The technology comprises a reusable table side machine, bespoke software and a disposable element comprising a region of standard geometry and a body of moldable material. Anatomical data from computed tomography (CT) scans of 10 human scapulae was collected and, in each case, the optimal glenoid guidewire position was digitally planned and recorded. The achieved accuracy compared to the pre-operative bespoke plan was measured in all glenoids, from both a conventional group and a guided group (GG). The technology was successfully able to intraoperatively produce sterile, patient-specific guides according to a pre-operative plan in 5min, with no additional manufacturing required prior to surgery. Additionally, the average guidewire placement accuracy was 1.58mm and 6.82∘ in the manual group, and 0.55mm and 1.76∘ in the guided group, also demonstrating a statistically significant improvement.
最佳的骨科植入物放置是所有常见关节置换术长期成功的主要因素。诸如三维(3D)打印、定制导向器和骨科机器人等设备在文献中被广泛描述,并已被证明可以提高假体放置的准确性。然而,这些技术有明显的缺点,如后勤和时间效率低下、成本高、性质繁琐和战区一体化困难。本文介绍了一种术中快速生产患者专用器械的新技术,该技术克服了现有技术的许多缺点。该技术包括一个可重复使用的桌面机器、定制软件和一个由标准几何区域和可成型材料组成的一次性元素。我们收集了10例人体肩胛骨的计算机断层扫描(CT)解剖数据,并以数字方式规划和记录最佳肩胛导丝位置。与术前定制计划相比,测量了常规组和导引组(GG)所有关节盂的准确性。该技术成功地在术中根据术前计划在5分钟内生产出无菌的、患者特异性的导尿管,而无需在手术前额外制造。此外,手动组的平均导丝放置精度为1.58mm和6.82°,引导组的平均导丝放置精度为0.55mm和1.76°,也有统计学上的显著改善。
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引用次数: 0
A Four-DOF Laparo-Endoscopic Single Site Platform for Rapidly-Developing Next-Generation Surgical Robotics 用于快速发展的下一代手术机器人的四自由度腹腔镜内窥镜单点平台
Pub Date : 2016-11-30 DOI: 10.1142/S2424905X16500069
Lou Cubrich, Mark Reichenbach, Jay D. Carlson, Andrew Pracht, B. Terry, D. Oleynikov, S. Farritor
Minimally-invasive laparoscopic procedures have proven efficacy for a wide range of surgical procedures, but have notable shortcomings, including limited instrument motion and reduced dexterity. Endoscopic robots, like the intuitive surgical da Vinci system, have become an effective tool for many types of surgeries; however, these tools still have fundamental limitations with manipulator access, which reduces their effectiveness for many surgical procedures, like colectomy, cholecystectomy, and gynecologic oncology. Laparo-endoscopic single-site (LESS) robots operate in vivo, and overcome many of these limitations. Here, a four-degrees of freedom (DOF) surgical robot is presented as a tool to enable refinement of the LESS platform as a surgical tool, while also looking forward to applications in telesurgery and haptic feedback.
微创腹腔镜手术已被证明对广泛的外科手术有效,但也有明显的缺点,包括器械运动受限和灵活性降低。内窥镜机器人,就像直观的外科达芬奇系统,已经成为许多类型手术的有效工具;然而,这些工具在机械臂接触方面仍然存在基本的局限性,这降低了它们在许多外科手术中的有效性,如结肠切除术、胆囊切除术和妇科肿瘤学。腹腔镜内窥镜单位点(LESS)机器人在体内操作,克服了许多这些限制。本文提出了一种四自由度手术机器人作为一种工具,使LESS平台作为一种手术工具得到完善,同时也期待在远程手术和触觉反馈方面的应用。
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引用次数: 4
A Cognitive Robot Control Architecture for Autonomous Execution of Surgical Tasks 自主执行手术任务的认知机器人控制体系结构
Pub Date : 2016-11-30 DOI: 10.1142/S2424905X16500082
Nicola Preda, F. Ferraguti, G. Rossi, C. Secchi, R. Muradore, P. Fiorini, M. Bonfè
The research on medical robotics is starting to address the autonomous execution of surgical tasks, without effective intervention of humans apart from supervision and task configuration. This paper addresses the complete automation of a surgical robot by combining advanced sensing, cognition and control capabilities, developed according to rigorous assessment of surgical requirements, formal specification of robotic system behavior and software design and implementation based on solid tools and frameworks. In particular, the paper focuses on the cognitive control architecture and its development process, based on formal modeling and verification methods as best practices to ensure safe and reliable behavior. Full implementation of the proposed architecture has been tested on an experimental setup including a novel robot specifically designed for surgical applications, but adaptable to different selected tasks (i.e. needle insertion, wound suturing).
医疗机器人的研究开始解决手术任务的自主执行,除了监督和任务配置,没有人类的有效干预。本文结合先进的传感、认知和控制能力,根据严格的手术需求评估、机器人系统行为的正式规范以及基于坚实工具和框架的软件设计和实现,解决了手术机器人的完全自动化问题。本文特别关注认知控制体系结构及其开发过程,并将形式化建模和验证方法作为确保行为安全可靠的最佳实践。所提出的架构的完全实现已经在一个实验装置上进行了测试,其中包括一个专门为外科应用设计的新型机器人,但可适应不同的选定任务(即针头插入,伤口缝合)。
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引用次数: 18
Using General-Purpose Serial-Link Manipulators for Laparoscopic Surgery with Moving Remote Center of Motion 应用通用串联机械手进行远程运动中心移动的腹腔镜手术
Pub Date : 2016-11-30 DOI: 10.1142/S2424905X16500070
M. M. Marinho, M. Bernardes, A. P. Bó
Minimally invasive surgical systems are being widely used to aid operating rooms across the globe. Although arguably successful in laparoscopic surgery, the da Vinci robotic system has limitations mostly regarding cost and lack of patient physiological motion compensation. To obtain a more cost-effective alternative, earlier works used general-purpose fully actuated serial-link robots to control instruments in laparoscopic research using constrained Jacobian techniques. In contrast with those works, we present a new technique to solve the laparoscopic constraints for the serial-link manipulator by using a constrained trajectory. This novel technique allows complex 3D remote center-of-motion trajectories to be taken into account. Moreover, it does not have problems related to drifting, and is less prone to singularity related issues as it can be used with redundant manipulators. The proof-of-concept experiments are done by performing artificial trajectories with static and moving trocar points using a physical robot manipulator. Furthermore, the system is tested using user input of 13 medically untrained personnel in an endoscope navigation task. The experiments show that the system can be operated reliably under arbitrary and unpredictable user inputs.
微创手术系统在全球范围内被广泛用于辅助手术室。尽管在腹腔镜手术中可以说是成功的,但达芬奇机器人系统在成本和缺乏患者生理运动补偿方面存在局限性。为了获得更具成本效益的替代方案,早期的工作使用通用的全驱动串行连杆机器人来控制腹腔镜研究中使用约束雅可比技术的仪器。在此基础上,提出了一种利用约束轨迹求解腹腔镜下串行连杆机械臂约束的新方法。这种新技术允许考虑复杂的3D远程运动中心轨迹。此外,它不存在与漂移相关的问题,并且由于它可以与冗余机械手一起使用,因此不容易出现与奇点相关的问题。概念验证实验是通过使用物理机器人机械手执行静态和移动套管针点的人工轨迹来完成的。此外,该系统在内窥镜导航任务中使用13名未经医学训练的人员的用户输入进行测试。实验表明,该系统可以在任意和不可预测的用户输入下可靠运行。
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引用次数: 16
An Automatic Registration Method for Radiation-Free Catheter Navigation Guidance 一种无辐射导尿管导航自动配准方法
Pub Date : 2016-09-27 DOI: 10.1142/S2424905X16400092
Caspar Gruijthuijsen, Benoît Rosa, P. T. Tran, J. Sloten, E. V. Poorten, D. Reynaerts
Catheter navigation is typically based on fluoroscopy. This implies exposure to harmful radiation, lack of depth perception and limited soft-tissue contrast. Catheter navigation would benefit from guidance that makes better use of detailed pre-operatively acquired MR/CT images, while reducing radiation exposure and improving spatial awareness of the catheter pose and shape. A prerequisite for such guidance is an accurate registration between the catheter tracking system and the MR/CT scans. Existing registration methods are lengthy and cumbersome as they require a lot of user interaction. This forms a major obstacle for their adoption into clinical practice. This paper proposes a radiation-free registration method that minimizes the impact on the surgical workflow and avoids most user interaction. The method relies on catheters with embedded sensors that provide intra-operative data that can either belong to the vessel wall or to the lumen of the vessel. Based on the acquired surface and lumen points an accurate registration is computed automatically, with minimal user interaction. Validation of the proposed method is performed on a synthetic yet realistic aorta phantom. Input from electromagnetic tracking, force sensing, and intra-vascular ultrasound are used as intra-operative sensory data.
导尿管导航通常基于透视。这意味着暴露于有害辐射,缺乏深度感知和有限的软组织对比。导尿管导航将受益于更好地利用术前获得的详细MR/CT图像的指导,同时减少辐射暴露,提高导管姿势和形状的空间意识。这种引导的先决条件是导管跟踪系统和MR/CT扫描之间的准确注册。现有的注册方法冗长而繁琐,因为它们需要大量的用户交互。这构成了将其应用于临床实践的主要障碍。本文提出了一种无辐射的配准方法,将对手术工作流程的影响降到最低,并避免了大多数用户交互。该方法依赖于带有嵌入式传感器的导管,这些传感器可以提供属于血管壁或血管管腔的术中数据。根据获得的表面和流明点,自动计算准确的配准,用户交互最小。所提出的方法的验证是在一个合成的但现实的主动脉幻影上进行的。来自电磁跟踪、力传感和血管内超声的输入被用作术中感觉数据。
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引用次数: 2
Cognitive AutonomouS CAtheters Operating in Dynamic Environments 动态环境下的认知自主导尿管
Pub Date : 2016-09-27 DOI: 10.1142/S2424905X16400110
E. V. Poorten, P. T. Tran, A. Devreker, Caspar Gruijthuijsen, S. Díez, G. Smoljkic, V. Strbac, N. Famaey, D. Reynaerts, J. Sloten, Abraham Temesgen Tibebu, Bingbin Yu, C. Rauch, Felix Bernard, Y. Kassahun, J. H. Metzen, S. Giannarou, Liang Zhao, Su-Lin Lee, Guang-Zhong Yang, E. Mazomenos, Ping-Lin Chang, D. Stoyanov, Maryna Kvasnytsia, J. Deun, E. Verhoelst, M. Sette, Anita Di Iasio, G. Leo, Fabian Hertner, D. Scherly, Leandro Chelini, Nicolai Häni, D. Seatovic, Benoît Rosa, H. Praetere, P. Herijgers
Advances in miniaturized surgical instrumentation are key to less demanding and safer medical interventions. In cardiovascular procedures interventionalists turn towards catheter-based interventions, treating patients considered unfit for more invasive approaches. A positive outcome is not guaranteed. The risk for calcium dislodgement, tissue damage or even vessel rupture cannot be eliminated when instruments are maneuvered through fragile and diseased vessels. This paper reports on the progress made in terms of catheter design, vessel reconstruction, catheter shape modeling, surgical skill analysis, decision making and control. These efforts are geared towards the development of the necessary technology to autonomously steer catheters through the vasculature, a target of the EU-funded project Cognitive AutonomouS CAtheters operating in Dynamic Environments (CASCADE). Whereas autonomous placement of an aortic valve implant forms the ultimate and concrete goal, the technology of individual building blocks to reach such ambitious goal is expected to be much sooner impacting and assisting interventionalists in their daily clinical practice.
小型化手术器械的进步是实现更低要求和更安全的医疗干预的关键。在心血管手术中,介入医师转向以导管为基础的介入,治疗那些被认为不适合更有创入路的患者。不能保证会有积极的结果。当器械通过脆弱和病变的血管时,钙脱位、组织损伤甚至血管破裂的风险无法消除。本文报道了导管设计、血管重建、导管形态建模、手术技巧分析、决策与控制等方面的研究进展。这些努力都是为了开发必要的技术来自主引导导管通过脉管系统,这是欧盟资助的动态环境中运行的认知自主导管(CASCADE)项目的目标。尽管自主放置主动脉瓣植入物是最终和具体的目标,但实现这一雄心勃勃的目标的个体构建模块技术有望更快地影响和协助介入医生的日常临床实践。
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引用次数: 5
期刊
J. Medical Robotics Res.
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