Conferences related to Musculoskeletal system

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2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference will cover diverse topics ranging from biomedical engineering to healthcare technologies to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions and oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by IEEE Xplore and Medline/PubMed.

  • 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The Annual International Conference of the IEEE Engineering in Medicine and Biology Society covers a broad spectrum of topics from biomedical engineering and physics to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions, oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by PubMed and EI. Prop

  • 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc.

  • 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc


2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.


2013 6th International Conference on Robotics, Automation and Mechatronics (RAM)

The goal of the RAM 2013 is to bring together experts from the field of robotics, automation and mechatronics to discuss on the state-of-the-art and to present new research findings and perspectives of future developments.


2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

This conference on Mechatronics will be held on July 9-12, 2013 in University of Wollongong, Wollongong. AIM 2013 conference brings together an international community of experts to discuss the state-of-the-art, new research results, perspectives of future developments, and innovative applications relevant to mechatronics, robotics, control, automation, and related areas.

  • 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

    Actuators, Automotive Systems, Aerospace Engineering, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, Motion Vibration and Noise Control, Neural and Fuzzy Control, Motion Control, Optimal and Adaptive Control, Opto-Electronic Systems, Planning and Navigation, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Advanced Intelligent Mechatronics.

  • 2011 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

    The purpose of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics(AIM), following the footsteps of the previous nine editions, is to promote activities in various areas of mechatronics by providing a forum for exchange of ideas, presentation of technical achievements and discussion of future directions The AIM brings together an international community of experts to discuss the state-of-the-art, new research results, perspectives of future developments, and innovative applications.

  • 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

    included but not limited to Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, Motion Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Planning and Navigation, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, R

  • 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

    All areas in mechatronics, systems engineering, product design

  • 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

    All related areas of mechatronics.


2012 5th International Symposium on Communications, Control and Signal Processing (ISCCSP)

The 5th International Symposium on Communications, Control and Signal Processing (ISCCSP 2012) is intended to be a forum for technical exchange amongst scientists having interests in these areas. The technical program will include plenary lectures, regular technical sessions, and special sessions covering the three major tracks.


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Periodicals related to Musculoskeletal system

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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.


Neural Systems and Rehabilitation Engineering, IEEE Transactions on

Rehabilitation aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation, and hardware and software applications for rehabilitation engineering and assistive devices.



Most published Xplore authors for Musculoskeletal system

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Xplore Articles related to Musculoskeletal system

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H<inf>&#x221E;</inf> controller synthesis for a physiological motor control system modeled with bond graphs

Asif M. Mughal; Kamran Iqbal 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006

Physiological structures exhibit complex characteristics for postural stability and movement. These structures consist of muscles, muscle spindles, Gologi tendon organs and neural activation mechanism etc. In this paper physiological models are studied with bond graph modeling technique, which provides new prospective to study physiological components and combined musculoskeletal system via flow of power. The central nervous controller for muscle activation ...


Optimal design of musculoskeletal models using force field data

Sang Hoon Yeo; Matthew C. Tresch; Dinesh K. Pai 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008

We propose an optimal design framework for a musculoskeletal model. A six degrees of freedom generalized force field at an end effector is measured by activating a specific muscle in-situ. Given that we have a musculoskeletal simulation model with a set of undetermined design parameters, the framework chooses the optimal parameters which minimize the difference between simulated and measured force ...


Modeling and identification of human neuromusculoskeletal network based on biomechanical property of muscle

Akihiko Murai; Katsu Yamane; Yoshihiko Nakamura 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008

In this paper, we build a whole-body neuromusculoskeletal network model including somatic reflex, and identify its parameters through non-invasive measurements and statistical analysis. Such models are crucial for analyzing and estimating signals in the nervous system. Our neuromuscular model consists of two parts. The first part models the neuromuscular network that represents the relationships between the spinal nerve signals and ...


Effects of silicone microgrooves on 3T3 fibroblasts

J. H. -C. Wang; C. Celechovsky; S. L. -Y. Woo Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N, 1999

Ligament/tendon fibroblasts are aligned along collagen fibers in vivo. However, most cell culture studies have been performed on smooth surfaces, on which cells orient randomly. To develop a culture model that better simulates the in vivo situation, 3T3 fibroblasts were grown on microgrooved silicone membranes (MSMs). It was found that the cells on MSMs were aligned along the groove direction, ...


A function description for the human upper limb pointing movements performance

N. F. Yang; D. W. Jin; M. Zhang; C. H. Huang; R. C. Wang 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001

The human motor system is mechanically complex and need to be described by using a large number of degrees of freedom. The controlled operation of such a system requires a reduction of mechanical redundancy. The coordination and synergies among the muscles and joints can be used for the reduction. In this paper, synergy is discussed through the analysis and comparison ...


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Educational Resources on Musculoskeletal system

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eLearning

H<inf>&#x221E;</inf> controller synthesis for a physiological motor control system modeled with bond graphs

Asif M. Mughal; Kamran Iqbal 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006

Physiological structures exhibit complex characteristics for postural stability and movement. These structures consist of muscles, muscle spindles, Gologi tendon organs and neural activation mechanism etc. In this paper physiological models are studied with bond graph modeling technique, which provides new prospective to study physiological components and combined musculoskeletal system via flow of power. The central nervous controller for muscle activation ...


Optimal design of musculoskeletal models using force field data

Sang Hoon Yeo; Matthew C. Tresch; Dinesh K. Pai 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008

We propose an optimal design framework for a musculoskeletal model. A six degrees of freedom generalized force field at an end effector is measured by activating a specific muscle in-situ. Given that we have a musculoskeletal simulation model with a set of undetermined design parameters, the framework chooses the optimal parameters which minimize the difference between simulated and measured force ...


Modeling and identification of human neuromusculoskeletal network based on biomechanical property of muscle

Akihiko Murai; Katsu Yamane; Yoshihiko Nakamura 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008

In this paper, we build a whole-body neuromusculoskeletal network model including somatic reflex, and identify its parameters through non-invasive measurements and statistical analysis. Such models are crucial for analyzing and estimating signals in the nervous system. Our neuromuscular model consists of two parts. The first part models the neuromuscular network that represents the relationships between the spinal nerve signals and ...


Effects of silicone microgrooves on 3T3 fibroblasts

J. H. -C. Wang; C. Celechovsky; S. L. -Y. Woo Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N, 1999

Ligament/tendon fibroblasts are aligned along collagen fibers in vivo. However, most cell culture studies have been performed on smooth surfaces, on which cells orient randomly. To develop a culture model that better simulates the in vivo situation, 3T3 fibroblasts were grown on microgrooved silicone membranes (MSMs). It was found that the cells on MSMs were aligned along the groove direction, ...


A function description for the human upper limb pointing movements performance

N. F. Yang; D. W. Jin; M. Zhang; C. H. Huang; R. C. Wang 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001

The human motor system is mechanically complex and need to be described by using a large number of degrees of freedom. The controlled operation of such a system requires a reduction of mechanical redundancy. The coordination and synergies among the muscles and joints can be used for the reduction. In this paper, synergy is discussed through the analysis and comparison ...


More eLearning Resources

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IEEE-USA E-Books

  • References

    This book proposes a transdisciplinary approach to investigating human motor control that synthesizes musculoskeletal biomechanics and neural control. The authors argue that this integrated approach -- which uses the framework of robotics to understand sensorimotor control problems -- offers a more complete and accurate description than either a purely neural computational approach or a purely biomechanical one.The authors offer an account of motor control in which explanatory models are based on experimental evidence using mathematical approaches reminiscent of physics. These computational models yield algorithms for motor control that may be used as tools to investigate or treat diseases of the sensorimotor system and to guide the development of algorithms and hardware that can be incorporated into products designed to assist with the tasks of daily living. The authors focus on the insights their approach offers in understanding how movement of the arm is controlled and how the control adapts to changing environments. The book begins with muscle mechanics and control, progresses in a logical manner to planning and behavior, and describes applications in neurorehabilitation and robotics. The material is self-contained, and accessible to researchers and professionals in a range of fields, including psychology, kinesiology, neurology, computer science, and robotics.

  • Index

    This book proposes a transdisciplinary approach to investigating human motor control that synthesizes musculoskeletal biomechanics and neural control. The authors argue that this integrated approach -- which uses the framework of robotics to understand sensorimotor control problems -- offers a more complete and accurate description than either a purely neural computational approach or a purely biomechanical one.The authors offer an account of motor control in which explanatory models are based on experimental evidence using mathematical approaches reminiscent of physics. These computational models yield algorithms for motor control that may be used as tools to investigate or treat diseases of the sensorimotor system and to guide the development of algorithms and hardware that can be incorporated into products designed to assist with the tasks of daily living. The authors focus on the insights their approach offers in understanding how movement of the arm is controlled and how the control adapts to changing environments. The book begins with muscle mechanics and control, progresses in a logical manner to planning and behavior, and describes applications in neurorehabilitation and robotics. The material is self-contained, and accessible to researchers and professionals in a range of fields, including psychology, kinesiology, neurology, computer science, and robotics.

  • Appendix: Variable Definitions

    This book proposes a transdisciplinary approach to investigating human motor control that synthesizes musculoskeletal biomechanics and neural control. The authors argue that this integrated approach -- which uses the framework of robotics to understand sensorimotor control problems -- offers a more complete and accurate description than either a purely neural computational approach or a purely biomechanical one.The authors offer an account of motor control in which explanatory models are based on experimental evidence using mathematical approaches reminiscent of physics. These computational models yield algorithms for motor control that may be used as tools to investigate or treat diseases of the sensorimotor system and to guide the development of algorithms and hardware that can be incorporated into products designed to assist with the tasks of daily living. The authors focus on the insights their approach offers in understanding how movement of the arm is controlled and how the control adapts to changing environments. The book begins with muscle mechanics and control, progresses in a logical manner to planning and behavior, and describes applications in neurorehabilitation and robotics. The material is self-contained, and accessible to researchers and professionals in a range of fields, including psychology, kinesiology, neurology, computer science, and robotics.

  • Real-Time Inverse Dynamics Learning for Musculoskeletal Robots Based on Echo State Gaussian Process Regression

    A challenging topic in articulated robots is the control of redundantly many degrees of freedom with artificial muscles. Actuation with these devices is difficult to solve because of nonlinearities, delays and unknown parameters such as friction. Machine learning methods can be used to learn control of these systems, but are faced with the additional problem that the size of the search space prohibits full exploration in reasonable time. We propose a novel method that is able to learn control of redundant robot arms with artificial muscles online from scratch using only the position of the end effector, without using any joint positions, accelerations or an analytical model of the system or the environment. To learn in real time, we use the so called online "goal babbling" method to effectively reduce the search space, a recurrent neural network to represent the state of the robot arm, and novel online Gaussian processes for regression. With our approach, we achieve good performance on trajectory tracking tasks for the end effector of two very challenging systems: a simulated 6 DOF redundant arm with artificial muscles, and a 7 DOF robot arm with McKibben pneumatic artificial muscles. We also show that the combination of techniques we propose results in significantly improved performance over using the individual techniques alone.



Standards related to Musculoskeletal system

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No standards are currently tagged "Musculoskeletal system"


Jobs related to Musculoskeletal system

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