Elbow

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The human elbow is the region surrounding the elbow-joint—the ginglymus or hinge joint in the middle of the arm. (Wikipedia.org)






Conferences related to Elbow

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

The RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics - BioRob 2018 - is a joint effort of the two IEEE Societies of Robotics and Automation - RAS - and Engineering in Medicine and Biology - EMBS.BioRob covers both theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. The primary focus of Biorobotics is to analyze biological systems from a "biomechatronic" point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance. This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems for many different applications; and to develop novel nano, micro-, macro- devices that can act upon, substitute parts of, and assist human beings in prevention, diagnosis, surgery, prosthetics, rehabilitation.


2017 13th IEEE International Conference on Control & Automation (ICCA)

Theory and applications of control and automation, and possible contributions toward sustainable development and environment preservation


2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, robotics, communications, and more.

  • 2016 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

    International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, robotics, communications, and more.

  • 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, Bioinformatics and Bio-Medical Informatics, Genomics, Proteomics, Big Data, Databases and Applications, Semi-Structured/Unstructured Data Mining, Multimedia Mining, Web and Text Data Mining, Graphic Model Discovery, Data Warehousing and OLAP, Pattern Recognition and Diagnostics, etc..

  • 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, rough sets, Statistical methods, Parallel/ Distributed data mining, KDD Process and human interaction, Knowledge management, Knowledge visualization, Reliability and robustness, Knowledge Discovery in Specific Domains, High dimensional data, Temporal data, Data streaming, Scientific databases, Semi-structured/unstructured data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Data engineering, Communications and networking, Software engineering, Distributed systems and computer hardware

  • 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, rough sets, Statistical methods, Parallel/ Distributed data mining, KDD Process and human interaction, Knowledge management, Knowledge visualization, Reliability and robustness, Knowledge Discovery in Specific Domains, High dimensional data, Temporal data, Data streaming, Scientific databases, Semi-structured/unstructured data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Data engineering, Communications and networking, Software engineering, Distributed systems and computer hardware, etc.

  • 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2007 International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD '07 covers all aspects of fuzzy systems and knowledge discovery, including recent theoretical advances and interesting applications, for example, fuzzy theory and models, mathematical foundation of fuzzy systems, fuzzy image/signal processing, fuzzy control and robotics, fuzzy hardware and architectures, fuzzy systems and the internet, fuzzy optimization and modeling, fuzzy decision and support, classification, clustering, statistical methods, knowledge etc.


2017 17th International Conference on Control, Automation and Systems (ICCAS)

Control Theory and Applications,Control Devices and Instruments,Industrial Applications of Control,Sensors and Signal Processing,Artificial Intelligent Systems,Autonomous Vehicle Systems, Navigation, Guidance and Control,Biomedical Instruments and Systems,Information and Networking,Multimedia Systems,Process Control Systems,Civil and Urban Control Systems Human Robot Interaction,Robot Mechanism and Control,Robot Vision,Exoskeletal Robot,Intelligent Robot and Service Robot,Robotic Applications


2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)

New theoretical and technological developments in: predictive control, robust and adaptive control, networked control systems, fuzzy logic, neural networks and intelligent control, modelling and identification, discrete events and hybrid systems, fault detection, diagnosis, fault tolerant control, computer aided control systems design, mathematical foundations of robotics, motion planning and algorithms, human-robot interaction.


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Periodicals related to Elbow

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


Latin America Transactions, IEEE (Revista IEEE America Latina)

The IEEE Region 9 is releasing the IEEE Latin America Transactions to enable the publication of non-published and technically excellent papers from Latin American engineers, in Spanish or Portuguese languages. Engineers and researchers from Portugal and Spain (and others countries with the same language) are also very welcome to submit their proposals.


Lightwave Technology, Journal of

All aspects of optical guided-wave science, technology, and engineering in the areas of fiber and cable technologies; active and passive guided-wave componentry (light sources, detectors, repeaters, switches, fiber sensors, etc.); integrated optics and optoelectronics; systems and subsystems; new applications; and unique field trials.


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Xplore Articles related to Elbow

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GoNet ‑ A New Movement Dynamic Evaluation System in Real Time

Joel Neto; Victor Albuquerque; Guilherme Silva; Natalia Olegario; Joao Manuel R. S. Tavares IEEE Latin America Transactions, 2015

The development of a hybrid solution (hardware and software) integrating a computer and the Kinect sensor is presents in this paper. The solution proposed, here called GoNet, is a promising prototype to be used in dynamic and automatic evaluation of biomechanical rehabilitation processes. Experimental tests concerning the assessment of the range of motion of patients, particularly for elbow flexion, elbow ...


A rehabilitation robot with force-position hybrid fuzzy controller: hybrid fuzzy control of rehabilitation robot

Ming-Shaung Ju; C. -C. K. Lin; Dong-Huang Lin; I. -S. Hwang; Shu-Min Chen IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2005

The goal of this study was to design a robot system for assisting in the rehabilitation of patients with neuromuscular disorders by performing various facilitation movements. The robot should be able to guide patient's wrist to move along planned linear or circular trajectories. A hybrid position/force controller incorporating fuzzy logic was developed to constrain the movement in the desired direction ...


Convolutional Pose Machines

Shih-En Wei; Varun Ramakrishna; Takeo Kanade; Yaser Sheikh 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016

Pose Machines provide a sequential prediction framework for learning rich implicit spatial models. In this work we show a systematic design for how convolutional networks can be incorporated into the pose machine framework for learning image features and image-dependent spatial models for the task of pose estimation. The contribution of this paper is to implicitly model long- range dependencies between ...


Motion control of a robotic device for passive rehabilitation of human shoulder and elbow joint movement

Md Rasedul Islam; Md Assad-Uz-Zaman; Christopher Spiewak; Mohammad Habibur Rahman 2017 IEEE Great Lakes Biomedical Conference (GLBC), 2017

Stroke is one of the main cause of upper limb dysfunction. The number of individuals who lost upper limb function due to stroke is increasing day by day and is projected to continue increasing at an alarming rate in United States. Repetitive movement therapy has been the main method to regain lost mobility. We have designed 3 degrees of freedom ...


Vibrotactile feedback system for intuitive upper-limb rehabilitation

Pulkit Kapur; Sunthar Premakumar; Steven A. Jax; Laurel J. Buxbaum; Amanda M. Dawson; Katherine J. Kuchenbecker World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2009

The proposed demonstration stems from research on a low cost haptic virtual interaction platform for upper-limb rehabilitation. This work centers on the use of vibrotactile feedback in a virtual environment to help stroke patients perform simple repetitive motions and thereby overcome motor planning deficits. The device to be demonstrated consists of a sleeve with embedded optical markers and vibration actuators. ...


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Educational Resources on Elbow

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eLearning

GoNet ‑ A New Movement Dynamic Evaluation System in Real Time

Joel Neto; Victor Albuquerque; Guilherme Silva; Natalia Olegario; Joao Manuel R. S. Tavares IEEE Latin America Transactions, 2015

The development of a hybrid solution (hardware and software) integrating a computer and the Kinect sensor is presents in this paper. The solution proposed, here called GoNet, is a promising prototype to be used in dynamic and automatic evaluation of biomechanical rehabilitation processes. Experimental tests concerning the assessment of the range of motion of patients, particularly for elbow flexion, elbow ...


A rehabilitation robot with force-position hybrid fuzzy controller: hybrid fuzzy control of rehabilitation robot

Ming-Shaung Ju; C. -C. K. Lin; Dong-Huang Lin; I. -S. Hwang; Shu-Min Chen IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2005

The goal of this study was to design a robot system for assisting in the rehabilitation of patients with neuromuscular disorders by performing various facilitation movements. The robot should be able to guide patient's wrist to move along planned linear or circular trajectories. A hybrid position/force controller incorporating fuzzy logic was developed to constrain the movement in the desired direction ...


Convolutional Pose Machines

Shih-En Wei; Varun Ramakrishna; Takeo Kanade; Yaser Sheikh 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016

Pose Machines provide a sequential prediction framework for learning rich implicit spatial models. In this work we show a systematic design for how convolutional networks can be incorporated into the pose machine framework for learning image features and image-dependent spatial models for the task of pose estimation. The contribution of this paper is to implicitly model long- range dependencies between ...


Motion control of a robotic device for passive rehabilitation of human shoulder and elbow joint movement

Md Rasedul Islam; Md Assad-Uz-Zaman; Christopher Spiewak; Mohammad Habibur Rahman 2017 IEEE Great Lakes Biomedical Conference (GLBC), 2017

Stroke is one of the main cause of upper limb dysfunction. The number of individuals who lost upper limb function due to stroke is increasing day by day and is projected to continue increasing at an alarming rate in United States. Repetitive movement therapy has been the main method to regain lost mobility. We have designed 3 degrees of freedom ...


Vibrotactile feedback system for intuitive upper-limb rehabilitation

Pulkit Kapur; Sunthar Premakumar; Steven A. Jax; Laurel J. Buxbaum; Amanda M. Dawson; Katherine J. Kuchenbecker World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2009

The proposed demonstration stems from research on a low cost haptic virtual interaction platform for upper-limb rehabilitation. This work centers on the use of vibrotactile feedback in a virtual environment to help stroke patients perform simple repetitive motions and thereby overcome motor planning deficits. The device to be demonstrated consists of a sleeve with embedded optical markers and vibration actuators. ...


More eLearning Resources

IEEE-USA E-Books

  • Plans For Object Manipulation

    This chapter contains sections titled: Introduction, Bar-Transport Experiments, Handle-Rotation Experiments, Maximizing Ease Of Movement, Exploiting Potential Energy: Allowing The Elbow To Drop, Elastic Eniergy, Precision, The Thumb-Toward Bias, A Composite Model, Summary And Conclusions, Notes, References

  • Methods for Movement Restoration

    Restoration of movement in humans with motor disability is an important element of rehabilitation that allows reintegration into healthy life. The basis of movement restoration is the external assistance that provides the compromised function for the person with the disability. This chapter presents methods of assistance and illustrates them with some systems that are currently being accepted as favorable for rehabilitation: balance and body weight robot assistants for training of walking; reaching assistants for training shoulder and elbow functions; assistive systems based on electrical stimulation. It also briefly presents the possible use of magnetic or direct electrical stimulation of brain structures and spinal cord to enhance motor function and have therapeutic effect.

  • The Berlin Brain-Computer Interface: Machine Learning-Based Detection of User Specific Brain States

    The Berlin Brain-Computer Interface (BBCI) project develops an EEG-based BCI system that uses machine learning techniques to adapt to the specific brain signatures of each user. This concept allows to achieve high quality feedback already in the very first session without subject training. Here we present the broad range of investigations and experiments that have been performed within the BBCI project. The first kind of experiments analyzes the predictability of performing limbs from the premovement (readiness) potentials including successful feedback experiments. The limits with respect to the spatial resolution of the somatotopy are explored by contrasting brain patterns of movements of (1) left vs. right foot, (2) index vs. little finger within one hand, and (3) finger vs. wrist vs. elbow vs. shoulder within one arm. A study of phantom movements of patients with traumatic amputations shows the potential applicability of this BCI approach. In a complementary approach, voluntary modulations of sensorimotor rhythms caused by motor imagery (left hand vs. right hand vs. foot) are translated into a proportional feedback signal. We report results of a recent feedback study with six healthy subjects with no or very little experience with BCI control: Half of the subjects achieved an information transfer rate above 35 bits per minute (bpm). Furthermore, one subject used the BBCI to operate a mental typewriter in free spelling mode. The overall spelling speed was 4.5 letters per minute including the time needed for the correction errors. These results are encouraging for an EEG-based BCI system in untrained subjects that is independent of peripheral nervous system activity and does not rely on evoked potentials.

  • Beyond the Elbow-Patched Playground

    This chapter contains sections titled: Notes

  • Crowdedness: Why Scarcity of Space Matters

    When I think of crowdedness in any given context, it immediately conjures a lot of negative perceptions in my mind. I imagine people in airports, train stations, shopping malls, stadiums, and subway trains jostling, elbow to elbow, for an extra inch of space. But might there be a silver lining in this dark crowd? Can firms use crowdedness to create a new kind of force? If so, what might be the key ingredient in this crowdedness force?



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