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2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)最新文献

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The Difficulty of Recognizing Grasps from sEMG during Activities of Daily Living 日常生活活动中肌电图识别抓取的困难
Valentina Gregori, B. Caputo, A. Gijsberts
The application of machine learning to recognize hand movements from surface electromyography has led to promising academic results. Unfortunately, it has proven difficult to translate these results in better control methods for the end-users of upper-limb prostheses. Recent studies have pointed out that common offline performance metrics, such as classification accuracy, are not correlated with real controllability of the prosthesis. In this paper, we investigate the cause that learned models start to fail when applied outside the constrained laboratory setting. We performed several analyses at the hand of a dedicated data acquisition composed of a typical academic training session in the first phase and a set of activities of daily living in a home setting afterwards. Our analysis confirms that a model trained in the former setting performs poorly when applied in a home environment. The cause for this degradation is that the distribution of myoelectric data changes between both settings, thus violating the typical assumption in statistical learning theory that train and test data come from the same distribution. This problem persists even when adding data acquired in some home activities to classify others. Our result not only confirms the limited importance of offline performance metrics for real prosthesis usability, but also highlights the difficulties machine learning based approaches will need to overcome to become practically relevant.
应用机器学习从表面肌电图中识别手部运动已经取得了很好的学术成果。不幸的是,事实证明很难将这些结果转化为上肢假肢最终用户更好的控制方法。最近的研究指出,常见的离线性能指标,如分类精度,与假体的真实可控性无关。在本文中,我们研究了学习模型在受约束的实验室环境之外应用时开始失败的原因。我们在一个专门的数据采集中进行了一些分析,包括第一阶段的典型学术培训课程和之后在家庭环境中的一系列日常生活活动。我们的分析证实,在前一种环境中训练的模型在应用于家庭环境时表现不佳。造成这种退化的原因是肌电数据的分布在两种设置之间发生了变化,从而违反了统计学习理论中训练和测试数据来自相同分布的典型假设。即使在添加在某些家庭活动中获得的数据以对其他活动进行分类时,这个问题仍然存在。我们的结果不仅证实了离线性能指标对真实假体可用性的有限重要性,而且还强调了基于机器学习的方法需要克服的困难才能变得具有实际意义。
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引用次数: 1
Optimization-Based Analysis of a Cartwheel 基于优化的侧翻分析
Kevin Stein, K. Mombaur
The estimation of acting joint torques and ground reaction forces is of particular interest for the analysis and training of athletic human motions. Modern IMU-based motion capture systems can record the kinematics of motions without the constraint of a fixed capture volume but with a lower accuracy when compared to marker-based systems, however they can give no information about the underlying dynamics. We propose a general approach that allows us to analyze such motion recordings for which external ground reaction force measurements are not possible. To achieve this we use dynamically-consistent optimization to generate a physically valid least-squares fit of a dynamic model of the subject to the recorded motion. We demonstrate the method by fitting and analyzing a cartwheel motion. The resulting joint torques allow us to understand how the different joints are actuated throughout the motion and reconstructed contact forces give insight about the interaction with the environment. Calculation of the forces and torques are of great value during training of athletic motions both to improve technique and to prevent injury. Additionally we can estimate the deviation between the measurement and the physically valid fit.
作用关节力矩和地面反作用力的估计对于人体运动的分析和训练具有特殊的意义。现代基于imu的运动捕捉系统可以在没有固定捕获量约束的情况下记录运动的运动学,但与基于标记的系统相比,精度较低,但是它们不能提供有关潜在动力学的信息。我们提出了一种通用的方法,使我们能够分析这种运动记录,而外部地面反作用力的测量是不可能的。为了实现这一点,我们使用动态一致的优化来生成一个物理上有效的最小二乘拟合的动态模型的主题记录的运动。通过对一个侧手翻动作的拟合和分析,对该方法进行了论证。由此产生的关节扭矩使我们能够了解在整个运动过程中不同的关节是如何被驱动的,重建的接触力使我们了解与环境的相互作用。在运动训练中,力和力矩的计算对提高技术水平和预防损伤有重要意义。此外,我们可以估计测量和物理有效拟合之间的偏差。
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引用次数: 1
Design and Evaluation of a Continuum Robot with Discreted link joints for Cardiovascular Interventions 一种用于心血管干预的离散关节连续机器人的设计与评价
Kiyoung Kim, H. Woo, Jungwook Suh
This paper deals with the design, modelling, fabrication, and experiments of a novel continuum robot that can be used for cardiovascular interventions. In this paper, a new design of bending joints of the continuum robot and its kinematical modelling are proposed. The bending joints of the proposed robot are designed to be easy to miniaturize and have a wide motion range. The continuum robot consists of an inner guide and an outer guide, each having two degrees of freedom (DOF). The 2DOF bending joints are driven by antagonistic actuation and the actuation part of the continuum robot is implemented to control the stiffness of the bending joints. When the pretensions of the cables of the bending joints are adjusted, the structural stiffness of the bending joints can be controlled. In this paper, the entire system of the continuum robot has been implemented and the basic performance of the proposed continuum robot has been verified. The proposed robot was confirmed to be bent actively in the S-shape curve.
本文介绍了一种用于心血管干预的新型连续体机器人的设计、建模、制造和实验。本文提出了一种连续体机器人弯曲关节的新设计及其运动学建模方法。该机器人的弯曲关节设计易于小型化,运动范围广。连续体机器人由内导轨和外导轨组成,各有两个自由度。采用拮抗驱动方式驱动2自由度弯曲关节,利用连续体机器人的驱动部分控制弯曲关节的刚度。通过调整弯曲接头缆索的张力,可以控制弯曲接头的结构刚度。本文对连续体机器人的整个系统进行了实现,并对所提出的连续体机器人的基本性能进行了验证。验证了该机器人在s型曲线上主动弯曲。
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引用次数: 9
ExoBoot, a Soft Inflatable Robotic Boot to Assist Ankle During Walking: Design, Characterization and Preliminary Tests ExoBoot,一种柔软的充气机器人靴,在行走时帮助脚踝:设计,表征和初步测试
Jinwon Chung, Roman Heimgartner, Ciarán T. O’Neill, Nathan S. Phipps, C. Walsh
In this paper, we present the design and characterization of the ExoBoot, a soft inflatable robotic boot for assisting ankle plantarflexion during walking. The ExoBoot integrates a soft textile-based actuator and an IMU sensor into a textile boot, making it low-profile and lightweight. The inflatable actuator generates assistive plantarflexion torque when pressurized by bending on top of the boot. We characterize the torque generated by the ExoBoot at various pressures and ankle angles, achieving a maximum torque of 39 Nm at 483 kPa (70 psi) and 60 degrees ankle angle. In order to evaluate the performance of the ExoBoot during walking, a pilot study with one healthy subject was conducted. Actuation is triggered by an open loop pressure controller, based on the ankle angular velocity measured by an IMU, using high flow rate solenoid valves. At the peak of active assistance, pressure in the actuator reaches 75% of the supply pressure, and maximum torque applied on the ankle is estimated to be 23 Nm. These results demonstrate potential for the ExoBoot to reduce the metabolic cost of walking.
在本文中,我们介绍了ExoBoot的设计和特性,ExoBoot是一种柔软的充气机器人靴,用于在行走过程中帮助踝关节跖屈。ExoBoot将一个柔软的基于纺织品的致动器和一个IMU传感器集成到一个纺织靴子中,使其低调而轻便。充气致动器通过在靴子顶部弯曲加压时产生辅助跖屈扭矩。ExoBoot在不同压力和踝关节角度下产生的扭矩,在483 kPa (70 psi)和60度踝关节角度下,最大扭矩为39 Nm。为了评估ExoBoot在行走过程中的性能,对一名健康受试者进行了初步研究。驱动由开环压力控制器触发,基于IMU测量的踝关节角速度,使用高流量电磁阀。在主动辅助的高峰期,致动器的压力达到供给压力的75%,施加在脚踝上的最大扭矩估计为23牛米。这些结果证明了ExoBoot在降低步行代谢成本方面的潜力。
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引用次数: 30
Explosive Motions with Compliant Actuation Arrangements in Articulated Robots 铰接式机器人中柔性驱动装置的爆炸运动
R. Djajadiningrat, W. Roozing, N. Tsagarakis
This paper presents the optimisation of explosive jumping motions on a 3-DoF leg prototype. The leg is based on the recently introduced asymmetric compliant actuator scheme, in which a series-elastic main drive is augmented with a parallel adjustable compliant branch with significantly different stiffness and energy storage capacity properties. The leg prototype implements two such actuation configurations, one of which includes a biarticulated branch, and they are compared to conventional series-elastic based actuation. An optimisation problem is formulated to optimise the joint trajectories and elastic element pretension to maximise jumping height. A simulation study demonstrates that the biarticulated configuration yields maximum jumping height, and that it achieves the highest peak joint power. Compared to series-elastic based actuation, the augmented leg jumps 4% higher with a monoarticulated parallel compliance configuration while using less energy, and over 10% higher in biarticulated configuration.
提出了一种基于三自由度腿原型的爆炸跳跃运动优化方法。该分支基于最近推出的非对称柔性驱动器方案,该方案在串联弹性主驱动器上增加了具有显著不同刚度和储能性能的并联可调柔性分支。腿原型实现了两种这样的驱动配置,其中一种包括双关节分支,并与传统的串联弹性驱动进行了比较。建立了一个优化问题,以优化关节轨迹和弹性元件预张力,以最大限度地提高跳跃高度。仿真研究表明,双关节构型能获得最大的跳跃高度和最高的峰值关节功率。与基于串联弹性的驱动相比,单关节并联顺应配置的增强腿跳高4%,同时消耗更少的能量,双关节配置的增强腿跳高10%以上。
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引用次数: 3
Hollow Pneumatic Artificial Muscles with Air Cylinder: Improvement for compatibility of high durability and high efficiency 带气缸的空心气动人造肌肉:提高了相容性,提高了耐用性和效率
Yasuyuki Yamada, A. Kojima, Yutaro Higashi, M. Okui, Taro Nakamura
Pneumatic soft actuators has been developed to improved characteristics, such as operating flexibility, low weight, and high output etc. However, the application range of these artificial muscles has been limited by their fragility, the size of pneumatic source and the system size required to control the position and force. Therefore, this research proposes hollow artificial muscles with air cylinder that is high durability and driven with less air. Furthermore, this actuator control both stiffness and displacement independently as single mechanical element.
气动软执行器具有操作灵活、重量轻、输出量大等特点。然而,这些人造肌肉的应用范围受到其易碎性,气动源的大小和控制位置和力所需的系统尺寸的限制。因此,本研究提出了具有高耐久性和较少空气驱动的空心气缸人工肌肉。此外,该驱动器作为单个机械元件独立控制刚度和位移。
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引用次数: 2
Yaw Postural Perturbation Through Robotic Platform: Aging Effects on Muscle Synergies 通过机器人平台的偏航姿态扰动:衰老对肌肉协同作用的影响
Juri Taborri, Ilaria Mileti, Z. Prete, S. Rossi, E. Palermo
Aging causes a worsening in muscle system, which could cause balance impairments, increasing the risk of falls. The study aims at evaluating the effects of aging on muscle activation in response to a yaw rotation imposed by the RotoBiT1D. Eight younger and eight older adults were enrolled in the study. A right sigmoidal rotation of 55° around the yaw axis was imposed to the subject by means of the RotoBiT1D platform in two velocity conditions, characterized by an angular velocity peak equal to 80¼/s and 100 °/s, respectively. The activations of 16 bilateral muscles of upper body were recorded through wireless surface electromyography. A Non-Negative Matrix Factorization was performed to extract the muscle synergies. The number of muscle synergies was selected by using the Variability Account For. The cosine of similarity was computed for the quantification of intra-group and inter-group similarity related to the muscle synergy vectors. The number of muscle synergies ranged from 4 to 6 in younger and from 3 to 6 in older, even though no statistical difference was found between groups or velocity conditions. As regards intra-group similarity, younger adults showed values always above the similarity threshold; while a lower similarity was observed in older adults, confirming the heterogeneity of postural response. The overall structure of muscle synergy vectors was not similar between groups and the inter-group similarity decreased with the increase of the velocity. The differences were greater in synergies involving head and upper limb muscles. Findings unveiled a different muscle synergy organization in terms of muscle synergy vectors. Such a different organization calls for a deeper investigation towards the aim of identifying causes of fall in elderly.
衰老会导致肌肉系统恶化,从而导致平衡能力受损,增加跌倒的风险。该研究旨在评估衰老对肌肉激活的影响,以响应RotoBiT1D施加的偏航旋转。8名年轻人和8名老年人参加了这项研究。通过RotoBiT1D平台,在角速度峰值分别为80¼/s和100°/s的两种速度条件下,对受试者施加55°左右横摆轴的右s型旋转。通过无线表面肌电图记录上半身16块双侧肌肉的激活情况。采用非负矩阵分解法提取肌肉协同效应。利用变异因子选择肌肉协同作用的数量。计算相似余弦值用于量化与肌肉协同向量相关的组内和组间相似性。肌肉协同作用的数量在年轻人中从4到6个不等,在老年人中从3到6个不等,尽管各组之间或速度条件之间没有统计学差异。在组内相似性方面,年轻人的相似性值始终高于阈值;而在老年人中观察到的相似性较低,证实了姿势反应的异质性。各组间肌肉协同矢量的整体结构不相似,组间相似性随速度的增加而降低。在涉及头部和上肢肌肉的协同作用方面,差异更大。研究结果揭示了肌肉协同矢量方面不同的肌肉协同组织。这样一个不同的组织呼吁进行更深入的调查,以确定老年人跌倒的原因。
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引用次数: 12
Intestinal Tattooing Mechanism Integrated with Active Wireless Capsule Endoscope 集成有源无线胶囊内窥镜的肠道纹身机制
M. Hoang, Viet Ha Le, Jayoung Kim, Eunpyo Choi, Byungjeon Kang, Jong-Oh Park, Chang-sei Kim
Recently, a wireless capsule endoscope with active locomotion has become an effective endoscopic method for diagnosis and treatment of diseases of gastrointestinal (GI) tract. Various modules such as biopsy and drug delivery were developed for the wireless capsule endoscope (WCE) to extend its application. In this paper, we present a marking module socalled tattooing module for WCE to localize the lesions and tumors in digestive organs before the laparoscopic surgery. The WCE with tattooing module is manipulated by an Electromagnetic Actuation (EMA) system, where a moderate magnetic field intensity is generated to drive the WCE reaching to a target of the digestive organs. The tattooing module is capable of stowing the needle inside the WCE's body to avoid pathway organs damage during locomotion and extruding to puncture the target for tattooing. The magnetic field is controlled to activate the micro-reed switch and triggers a chemical reaction that generates gas pressure. The produced gas increases the pressure in the propellant room and pushes the piston to eject the ink into the target. The prototype of the tattooing capsule endoscope is fabricated with dimension of 13 mm in diameter and 33 mm in length. The working principle and the mechanism of the tattooing module are suggested and the feasibility test with the prototype is demonstrated through in-vitro experiments.
近年来,具有主动运动功能的无线胶囊内窥镜已成为诊断和治疗胃肠道疾病的一种有效的内镜方法。为拓展无线胶囊内窥镜(WCE)的应用范围,开发了活检、给药等多种模块。在本文中,我们提出了一种用于WCE的标记模块,即纹身模块,用于在腹腔镜手术前定位消化器官的病变和肿瘤。带有纹身模块的WCE由电磁驱动(EMA)系统操纵,该系统产生中等强度的磁场,以驱动WCE到达消化器官的目标。刺青模块能够将针刺入WCE体内,避免运动过程中通路器官受损,并挤压刺穿目标进行刺青。磁场被控制以激活微簧片开关,并触发产生气体压力的化学反应。产生的气体增加推进剂室的压力并推动活塞将墨水喷射到目标中。制作了纹身胶囊内窥镜的原型,其直径为13mm,长度为33mm。提出了纹身模块的工作原理和工作机理,并通过体外实验验证了原型的可行性。
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引用次数: 4
Estimation of Phantom Limb Musculoskeletal Mechanics After Targeted Muscle Reinnervation: Towards Online Model-Based Control of Myoelectric Bionic Limbs* Resrach supported by ERC Advanced Grant DEMOVE (267888). 目标肌肉神经移植后幻肢肌肉骨骼力学的估计:基于模型的肌电仿生肢体在线控制*研究,ERC Advanced Grant DEMOVE(267888)。
Massimo Sartori, D. Farina
Upper limb loss substantially impacts on the quality of life of thousands of individuals worldwide. Current advanced treatments rely on myoelectric prostheses controlled by electromyograms (EMG). Despite advances in surgical procedures (i.e. targeted muscle reinnervation) as well as in electrode design and bio-electric signal sampling, current myocontrol schemes provide limited re-gain of functionality and lack of bio-mimesis. Current solutions create mappings between EMG and prosthesis joint angles, disregarding the underlying neuromusculoskeletal processes. The poor performance of these approaches determines high rejection rates (40-50%) of myoelectric bionic limbs. This paper presents a biomimetic paradigm for active prosthesis control. It encompasses a modelling formulation that simulates the amputee's phantom limb musculoskeletal dynamics as controlled by high-density EMG-extracted neural activations to muscles. We demonstrate how this technique can be applied to a transhumeral amputee offline to decode musculoskeletal function in the phantom elbow and wrist offline. Moreover, we provide preliminary data showing how this technique can be operated online on intact-limbed individuals. The proposed paradigm represents an important step towards next-generation bionic limbs that can mimic human biological limb functionality and robustness.
上肢丧失严重影响了全世界成千上万人的生活质量。目前先进的治疗依赖于由肌电图(EMG)控制的肌电假体。尽管外科手术(即靶向肌肉神经移植)以及电极设计和生物电信号采样取得了进展,但目前的肌肉控制方案提供的功能恢复有限,缺乏仿生。目前的解决方案创建肌电图和假体关节角度之间的映射,忽略了潜在的神经肌肉骨骼过程。这些方法的不良性能决定了肌电仿生肢体的高排异率(40-50%)。本文提出了一种主动假肢控制的仿生模型。它包含一个建模公式,模拟截肢者的幻肢肌肉骨骼动力学,由高密度肌电图提取的神经激活肌肉控制。我们演示了如何将该技术应用于经肱骨截肢者离线解码幻肢肘部和腕部的肌肉骨骼功能。此外,我们提供了初步的数据,显示该技术如何在肢体完整的个体上进行在线操作。所提出的范例是向下一代仿生肢体迈出的重要一步,可以模仿人类生物肢体的功能和鲁棒性。
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引用次数: 3
A Method for Quantifying Interaction Forces in Wearable Robots* 一种可穿戴机器人相互作用力的量化方法*
Anna-Maria Georgarakis, R. Stämpfli, P. Wolf, R. Riener, Jaime E. Duarte
Immobility due to movement impairments causes many secondary conditions that are a threat to a person's health and quality of life. Wearable robotic mobility aids such as exoskeletons and exosuits are a promising technique to tackle immobility. These devices are attached to the human with cuffs. However, the physical interaction at the human-robot interface is not yet well understood. Misplacement and compression of soft tissue diminish the efficiency of the robot and the comfort for the human. We developed a measurement method that allows us to simultaneously measure cuff interaction forces in normal and tangential direction. The measurement setup was validated in a friction test bench. The test-retest reliability was evaluated in an isolated attachment cuff mounted on a human forearm. Force measurements were repeatable, with error ranges up to 28.7% or 7.8 N in normal, 28.7% or 2.3 N in tangential direction. Our method is the first approach that simultaneously measures normal and tangential forces at the physical interface of wearable robots. The test-retest reliability is within the range of methods that assess only normal forces.
由于运动障碍而导致的不动会导致许多对人的健康和生活质量构成威胁的继发性疾病。可穿戴的机器人移动辅助设备,如外骨骼和外骨骼,是解决不动问题的一种很有前途的技术。这些装置用手铐绑在人身上。然而,人机界面的物理交互尚未得到很好的理解。软组织的错位和压迫降低了机器人的工作效率和人体的舒适度。我们开发了一种测量方法,使我们能够同时测量袖带在法向和切向的相互作用力。在摩擦试验台对测量装置进行了验证。测试-重测可靠性是在一个孤立的附着袖带安装在人类前臂评估。力测量是可重复的,误差范围可达28.7%或7.8牛在法向,28.7%或2.3牛在切向。我们的方法是第一个同时测量可穿戴机器人物理界面上的法向力和切向力的方法。重测信度在仅评估法向力的方法范围内。
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引用次数: 9
期刊
2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)
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