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State of the art review on walking support system for visually impaired people 视障人士步行辅助系统的研究现状
Pub Date : 2011-11-21 DOI: 10.1504/IJBBR.2011.043751
Eklas Hossain, R. Khan, R. Muhida, Ahad Ali
The technology for terrain detection and walking support system for blind people has rapidly been improved the last couple of decades but to assist visually impaired people may have started long ago. Currently, a variety of portable or wearable navigation system is available in the market to help the blind for navigating their way in his local or remote area. The focused category in this work can be subgroups as electronic travel aids (ETAs), electronic orientation aids (EOAs) and position locator devices (PLDs). However, we will focus mainly on electronic travel aids (ETAs). This paper presents a comparative survey among the various portable or wearable walking support systems as well as informative description (a subcategory of ETAs or early stages of ETAs) with its working principal advantages and disadvantages so that the researchers can easily get the current stage of assisting blind technology along with the requirement for optimising the design of walking support system for its users.
在过去的几十年里,地形探测技术和盲人行走支持系统得到了迅速的发展,但帮助视障人士可能很久以前就开始了。目前,市场上有各种各样的便携式或可穿戴式导航系统,可以帮助盲人在当地或偏远地区导航。这项工作的重点类别可以分为电子旅行辅助设备(ETAs)、电子定向辅助设备(EOAs)和位置定位设备(pld)。然而,我们将主要关注电子旅行辅助工具(ETAs)。本文对各种便携式或可穿戴步行支撑系统进行了比较调查,并对其工作主要优点和缺点进行了翔实的描述(ETAs的一个子类或ETAs的早期阶段),以便研究人员可以轻松地了解辅助盲人技术的发展现状,并为其用户优化步行支撑系统的设计要求。
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引用次数: 9
Robot assisted rehabilitation for elbow and forearm movements 机器人辅助肘部和前臂运动康复
Pub Date : 2011-11-21 DOI: 10.1504/IJBBR.2011.043748
M. Rahman, Thierry Kittel-Ouimet, M. Saad, J. Kenné, P. Archambault
The movements of the shoulder, elbow, and wrist play a vital role in the performance of essential daily activities. We therefore have developed a 2DOF exoskeleton robot ( ExoRob ) to rehabilitate the elbow and forearm movements of physically disabled individuals with impaired upper-limb function. The proposed ExoRob is supposed to be worn on the lateral side of forearm in order to provide naturalistic range movements of elbow (flexion/extension) and forearm (pronation/supination) motions. This paper focuses on the modelling, design (electrical and mechanical components), development, and control of the proposed ExoRob . The kinematic model of ExoRob has been developed based on modified Denavit-Hartenberg notations. Non-linear modified computed torque control technique is employed to control the proposed ExoRob , where trajectories (i.e., pre-programmed trajectories recommended by therapist/clinician) tracking corresponding to typical rehabilitation (passive) exercises has been carried out to evaluate the performances of the developed ExoRob and controller. Furthermore, experiments were carried out with the master exoskeleton arm [ mExoArm , an upper-limb prototype 7DOF (lower scaled) exoskeleton arm] where subjects (robot users) or experimenter operate the mExoArm (like a joystick) to manoeuvre the proposed ExoRob to provide passive rehabilitation. Experimental results show that the controller is able to manoeuvre the ExoRob efficiently to track the desired trajectories. Such movements are widely used in rehabilitation and have been performed efficiently with the developed ExoRob and the controller.
肩膀、肘部和手腕的运动在日常基本活动中起着至关重要的作用。因此,我们开发了一种2DOF外骨骼机器人(ExoRob),用于恢复上肢功能受损的肢体残疾人的肘部和前臂运动。建议的ExoRob应佩戴在前臂外侧,以提供肘关节(屈曲/伸展)和前臂(旋前/旋后)运动的自然范围运动。本文的重点是建模、设计(电气和机械部件)、开发和控制所提出的驱魔器。基于改进的Denavit-Hartenberg符号建立了ExoRob的运动学模型。采用非线性修正的计算扭矩控制技术来控制所提出的ExoRob,其中轨迹(即治疗师/临床医生推荐的预编程轨迹)跟踪与典型康复(被动)练习相对应,以评估所开发的ExoRob和控制器的性能。此外,使用主外骨骼手臂[mExoArm,一种上肢7DOF(低比例)外骨骼手臂原型]进行实验,受试者(机器人用户)或实验者操作mExoArm(像操纵杆一样)来操纵拟议的ExoRob以提供被动康复。实验结果表明,该控制器能够有效地操纵机器人跟踪所需的轨迹。这样的动作在康复中被广泛使用,并且通过开发的ExoRob和控制器有效地执行。
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引用次数: 19
Towards developing a human-friendly power assist robot for manipulating heavy objects: special focus on manoeuvrability and object’s surface friction 面向开发一种人类友好的动力辅助机器人来操纵重物:特别关注机动性和物体表面摩擦
Pub Date : 2011-11-21 DOI: 10.1504/IJBBR.2011.043747
S. Rahman, R. Ikeura, Haoyong Yu
A power assist robot system was developed for manipulating objects in cooperation with human. Weight perception was included in robot dynamics and control. The robot was simulated for different conditions. Optimum manoeuvrability conditions for vertical lifting and horizontal manipulation of objects were determined. Psychophysical relationships between actual and perceived weights were determined, and load forces and motion features were analysed for unimanual and bimanual lifting of objects. Then a novel control scheme was implemented that reduced the excessive load forces and accelerations, and thus improved the system performances for unimanual and bimanual lifts. Motions were also analysed for lowering objects with the robot. A feed-forward friction model was introduced that addressed the effects of friction between human’s hand and object’s surfaces on weight perception and load force. The findings can be used to develop human-friendly power assist robots for manipulating heavy objects in industries.
开发了一种与人协同操作物体的动力辅助机器人系统。机器人动力学和控制中包含了重量感知。对机器人进行了不同条件下的仿真。确定了物体垂直升降和水平操纵的最佳机动条件。确定了实际重量和感知重量之间的心理物理关系,并分析了单手和双手举起物体的负载力和运动特征。在此基础上,提出了一种新的控制方案,减小了电梯的过载力和加速度,从而提高了单手动和双手动升降系统的性能。还分析了机器人降低物体的运动。提出了一种前馈摩擦模型,研究了人的手与物体表面的摩擦对重量感知和载荷力的影响。这一发现可用于开发对人类友好的助力机器人,用于在工业中操纵重物。
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引用次数: 3
The design and evaluation of a multi-sensory vibrotactile feedback system for a myoelectric prosthetic hand 肌电假手多感觉振动触觉反馈系统的设计与评价
Pub Date : 2011-11-21 DOI: 10.1504/IJBBR.2011.043750
Edward D. Sellers, A. Chiu
Upper-limb amputees have reported that one of their main dissatisfactions with current commercialised prosthetic arms is a lack of sensory feedback. The current study investigates the feasibility of providing feedback of grip force, slippage, and finger position through vibrotactile stimulators to the prosthetic users. Tests are performed to determine subject’s spatial sensitivity as well as their abilities to differentiate discrete vibration intensity levels. We find that human subjects can correctly identify discrete sensory levels (with 90% accuracy) from 62 Hz to 250 Hz for tactors placed at least 3 cm apart. The accuracy of the EMG classifier system would decrease if all three tactors are activated. Even though a multivariable vibrotactile feedback system may not be feasible initially due to information overload, the user performance may improve with training. Multi-tactor system can be implemented with a slight decrease in electromyographic signal classification for the control of a neuroprosthetic hand.
上肢截肢者报告说,他们对目前商业化的假肢的主要不满之一是缺乏感觉反馈。本研究探讨了通过振动触觉刺激器向假肢使用者提供握力、滑动和手指位置反馈的可行性。进行测试以确定受试者的空间敏感性以及他们区分离散振动强度水平的能力。我们发现,对于相距至少3厘米的因素,人类受试者可以正确识别62 Hz至250 Hz的离散感官水平(准确率为90%)。如果这三个因素都被激活,肌电分类系统的准确性会降低。尽管多变量振动触觉反馈系统最初可能由于信息过载而不可行,但用户性能可能会随着训练而改善。多因素系统可以实现与肌电信号分类轻微减少神经假手的控制。
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引用次数: 1
Design a medical device for blood oxygen concentration and temporal heart beat rate 设计一种测量血氧浓度和时间心率的医疗装置
Pub Date : 2011-05-13 DOI: 10.1504/IJBBR.2011.040035
Cho Zin Myint, N. Barsoum, Wong Kiing Ing
The wireless network technology is increasingly important in healthcare as a result of the aging population and the tendency to acquire chronic disease such as heart attack, high blood pressure amongst the elderly. The elderly do not have to show up to the hospital for a blood pressure check. It can be done while they are working by wearing wireless sensor device at home. A wireless sensor network system that has the capability to monitor physiological sign such as SpO 2 ; saturation of arterial oxygen and heartbeat rate in real-time from the human body is highlighted in this study. This research is to design a prototype sensor network hardware, which consists of microcontroller PIC18F series and transceiver unit. The sensor is incorporated into a wearable body sensor network which is small in size and easy to use. The sensor allows a non-invasive, real time method to provide information regarding the health of the body. This kind of medical application such as wireless sensor network has a promising future for humankind. This enables a more efficient and economical means for managing the healthcare of the population.
随着人口老龄化和老年人患上心脏病、高血压等慢性疾病的趋势,无线网络技术在医疗保健中的作用日益重要。老年人不需要去医院检查血压。当他们在家里工作时,可以通过佩戴无线传感器设备来完成。一种具有监测SpO 2等生理信号能力的无线传感器网络系统;在这项研究中,强调了人体动脉氧饱和度和心率的实时数据。本文的研究是设计一个原型传感器网络硬件,它由PIC18F系列单片机和收发器单元组成。该传感器被集成到一个可穿戴的身体传感器网络中,该网络体积小,易于使用。该传感器允许一种非侵入性的实时方法来提供有关身体健康的信息。这种诸如无线传感器网络的医疗应用对人类有着广阔的前景。这为管理人口的医疗保健提供了更有效和更经济的手段。
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引用次数: 0
Artificial neural network simulation of arm gait of Huntington disease patient 亨廷顿病患者手臂步态的人工神经网络仿真
Pub Date : 2011-05-13 DOI: 10.1504/IJBBR.2011.040031
Ajibola O.O.E., Olunloyo V.O.S.
Huntington’s disease (HD) is an autosomal dominant neurodegenerative disease which usually affects the patients at middle age. Early motor signs of Huntington’s disease typically include the gradual onset of clumsiness, balance difficulties, and brief, random, fidgeting movements. This work is our attempt to promote a better understanding of the chorea associated with HD by carrying out an artificial neural network (ANN) simulation of the arm gait of an HD patient.
亨廷顿舞蹈病(HD)是一种常染色体显性神经退行性疾病,通常发生在中年。亨廷顿氏病的早期运动症状通常包括逐渐出现的笨拙、平衡困难和短暂、随机、坐立不安的运动。这项工作是我们通过对HD患者手臂步态进行人工神经网络(ANN)模拟来促进对HD相关舞蹈病的更好理解的尝试。
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引用次数: 5
Visualisation of heart sounds and motion using multi-channel sensor 使用多通道传感器可视化心音和动作
Pub Date : 2011-05-13 DOI: 10.1504/IJBBR.2011.040034
F. Nogata, Y. Yokota, Y. Kawamura
As there are various difficulties associated with auscultation techniques, we have devised two techniques for visualising heart sound and motion to assist in the understanding of heartbeat for both doctors and patients that: To overcome difficulties in auscultation, these techniques can be applied to the detection of heart disease and to the digital database management of the auscultation examination.
由于听诊技术存在各种困难,我们设计了两种心音和运动可视化技术,以帮助医生和患者了解心跳:为了克服听诊的困难,这些技术可以应用于心脏病的检测和听诊检查的数字数据库管理。
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引用次数: 1
A low cost and portable single finger assistive device using air muscles 一种使用空气肌肉的低成本便携式单指辅助装置
Pub Date : 2011-05-13 DOI: 10.1504/IJBBR.2011.040033
Thomas Hurst, K. Aw
The paper shows the development of a low cost, lightweight and portable device to assist index finger movement for people with limited or no ability to use their hands. The mechanical system consists of a pair of air muscles connected to braided polymer cables applying force to the finger. The distal joints are actuated simultaneously by a single air muscle and rotational lever system while a second air muscle acts on the metacarpophalangeal (MCP) joints joint with a minor positive effect on the distal joints. The distal interphalangeal (DIP) and MCP joints are capable of achieving rotations up to 40° from resting and the proximal interphalangeal joint up to 65°. The device is capable of producing forces over 1 kg for a single finger. Force from the muscle itself increasing up to 3 kg at maximum contraction, producing a strong compliant force. Finger movement is similar to the curling motion of the human finger and can quickly and firmly grasp medium sized objects such as a plastic bottle of water.
这篇论文展示了一种低成本、轻量级和便携式设备的开发,以帮助有限制或没有能力使用他们的手的人的食指运动。机械系统由一对空气肌肉组成,连接到编织的聚合物电缆上,向手指施加力。远端关节由单个气肌和旋转杠杆系统同时驱动,而第二个气肌作用于掌指关节(MCP)关节,对远端关节有轻微的积极作用。远端指间关节(DIP)和MCP关节能够从静止状态旋转40°,近端指间关节可旋转65°。该装置能够对单个手指产生超过1公斤的力。肌肉本身的力量在最大收缩时增加到3公斤,产生强大的柔顺力。手指的运动类似于人类手指的卷曲运动,可以快速而牢固地抓住中等大小的物体,如塑料瓶水。
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引用次数: 1
Study of signal processing techniques for EMG analysis 肌电图分析的信号处理技术研究
Pub Date : 2011-05-13 DOI: 10.1504/IJBBR.2011.040032
M. Duhan, Chanderpal Sharma, D. Bhatia
Digital signal processing (DSP) can be used for biomedical signal processing applications like EMG, EEG and ECG, etc. With the help of biomedical instruments, the signal acquired from the body of human beings require advanced methodology for detection, decomposition, processing and classification of all biomedical signal. The EMG signal is stochastic in nature and it becomes difficult to quantify and interpret the processed signal. The purpose of this paper is to illustrate the various methodologies of DSP for EMG signal processing to provide efficient and effective ways of understanding the signal and its nature.
数字信号处理(DSP)可用于肌电、脑电图、心电等生物医学信号处理应用。在生物医学仪器的帮助下,从人体获取的信号需要先进的方法对所有生物医学信号进行检测、分解、处理和分类。肌电信号具有随机性,处理后的信号难以量化和解释。本文的目的是说明各种方法的DSP肌电信号处理,以提供高效和有效的方式来理解信号及其性质。
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引用次数: 7
Study of circular cross correlation and phase lag to estimate knee angle: an application to prosthesis 圆互相关和相位滞后估计膝关节角度的研究:在假体中的应用
Pub Date : 2010-05-07 DOI: 10.1504/IJBBR.2010.033027
D. Joshi, S. Anand
This paper present an application of cross correlation coefficient (CCC) to predict knee angle and propose a novel method to design unilateral transfemoral prosthesis. The phase lag at which peak CCC occurs is used to predict knee angle. Sixteen healthy subjects were required to walk in movement analysis lab. Circular cross correlation was preferred as the knee angle time series is periodic while walking. An error profile was generated to assess the suitability of this technique. One sampled t-test shows the mean error of 4.9° to 7.9° with 95% confidence interval. Thus, phase lag algorithm has the potential to be implemented in hardware to design adaptive unilateral transfemoral prosthesis.
本文应用交叉相关系数(CCC)预测膝关节角度,提出了一种设计单侧经股假体的新方法。在峰值CCC发生的相位滞后被用来预测膝关节角。16名健康受试者被要求在运动分析实验室中行走。由于膝关节角度时间序列是周期性的,所以首选循环互相关法。生成了一个错误概要文件来评估该技术的适用性。一次抽样t检验显示平均误差为4.9°至7.9°,置信区间为95%。因此,相位滞后算法有可能在硬件上实现,以设计自适应单侧股骨假体。
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引用次数: 3
期刊
International Journal of Biomechatronics and Biomedical Robotics
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