Continuous Locomotion-Mode Identification for Prosthetic Legs Based on Neuromuscular–Mechanical Fusion

He Huang, Fan Zhang, Hargrove, L. J., Zhi Dou, Rogers, D. R., Englehart, K. B.·2011·IEEE Transactions on Biomedical Engineering

Cited by (542)

Items 101–200 of 542

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  4. Wearer-Prosthesis Interaction for Symmetrical Gait: A Study Enabled by Reinforcement Learning Prosthesis Control
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  5. Effect of additional mechanical sensor data on an EMG-based pattern recognition system for a powered leg prosthesis
    John A. Spanias, Ann M. Simon, Kimberly A. Ingraham, Levi J. Hargrove · 2015 · International IEEE/EMBS Conference on Neural Engineering
  6. Plasticity and modular control of locomotor patterns in neurological disorders with motor deficits
    Yuri P. Ivanenko, Germana Cappellini, Irina A. Solopova, А. А. Гришин, Michael J. MacLellan, Richard E. Poppele, Francesco Lacquaniti · 2013 · Frontiers in Computational Neuroscience
  7. Neuromechanical sensor fusion yields highest accuracies in predicting ambulation mode transitions for trans-tibial amputees
    Dennis C. Tkach, Levi J. Hargrove · 2013 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  8. Knee Exoskeleton Assistive Torque Control Based on Real-Time Gait Event Detection
    Dongfang Xu, Xiuhua Liu, Qining Wang · 2019 · IEEE Transactions on Medical Robotics and Bionics
  9. Electromyography (EMG) Signal Contributions in Speed and Slope Estimation Using Robotic Exoskeletons
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  10. Stand-Up, Squat, Lunge, and Walk With a Robotic Knee and Ankle Prosthesis Under Shared Neural Control
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  11. Tri-Mode Capacitive Proximity Detection Towards Improved Safety in Industrial Robotics
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  12. Surface Electromyography Characteristics for Motion Intention Recognition and Implementation Issues in Lower-limb Exoskeletons
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  13. Development of a Robot-Assisted Telerehabilitation System With Integrated IIoT and Digital Twin
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  14. Highly Stable Ladder‐Type Conjugated Polymer Based Organic Electrochemical Transistors for Low Power and Signal Processing‐Free Surface Electromyogram Triggered Robotic Hand Control
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  22. Real-Time User-Independent Slope Prediction Using Deep Learning for Modulation of Robotic Knee Exoskeleton Assistance
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  24. Daily Motion Recognition System by a Triaxial Accelerometer Usable in Different Positions
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  31. Investigation of Timing to Switch Control Mode in Powered Knee Prostheses during Task Transitions
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  35. A Smart Terrain Identification Technique Based on Electromyography, Ground Reaction Force, and Machine Learning for Lower Limb Rehabilitation
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  36. Real-Time Locomotion Mode Recognition Employing Correlation Feature Analysis Using EMG Pattern
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  37. Neural prosthesis control restores near-normative neuromechanics in standing postural control
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  38. Human Gait Recognition System Based on Support Vector Machine Algorithm and Using Wearable Sensors
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  40. Instrumented Pyramid Adapter for Amputee Gait Analysis and Powered Prosthesis Control
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  41. Design of a Purely Mechanical Sensor-Controller Integrated System for Walking Assistance on an Ankle-Foot Exoskeleton
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  42. Real-time walking gait terrain classification from foot-mounted Inertial Measurement Unit using Convolutional Long Short-Term Memory neural network
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  44. Recognition of ascending stairs from 2D images for control of powered lower limb prostheses
    Nili E. Krausz, Levi J. Hargrove · 2015 · International IEEE/EMBS Conference on Neural Engineering
  45. A new strategy for parameter optimization to improve phase-dependent locomotion mode recognition
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  46. The Influence of Gait Phase on Predicting Lower-Limb Joint Angles
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  47. Relying on more sense for enhancing lower limb prostheses control: a review
    Michael Tschiedel, Michael Russold, Eugenijus Kaniušas · 2020 · Journal of NeuroEngineering and Rehabilitation
  48. Assist-As-Needed Control Strategy of Bilateral Upper Limb Rehabilitation Robot Based on GMM
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  49. Depth Vision-Based Terrain Detection Algorithm During Human Locomotion
    Ali H. A. Aldabbagh, Renaud Ronsse · 2022 · IEEE Transactions on Medical Robotics and Bionics
  50. On the Design of a Wearable Multi-sensor System for Recognizing Motion Modes and Sit-to-stand Transition
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  51. Toward the Development of Knee Prostheses: Review of Current Active Devices
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  52. Ultrasound Sensing Can Improve Continuous Classification of Discrete Ambulation Modes Compared to Surface Electromyography
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  53. Sensor Fusion of Vision, Kinetics, and Kinematics for Forward Prediction During Walking With a Transfemoral Prosthesis
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  54. Efficient Environmental Context Prediction for Lower Limb Prostheses
    Boxuan Zhong, Rafael Luiz da Silva, Michaël Tran, He Huang, Edgar J. Lobaton · 2021 · IEEE Transactions on Systems Man and Cybernetics Systems
  55. Visual Terrain Identification and Surface Inclination Estimation for Improving Human Locomotion with a Lower-Limb Prosthetic
    Jean Pierre Díaz-Paz, Rafael Luiz da Silva, Boxuan Zhong, He Huang, Edgar J. Lobaton · 2018 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  56. Image Transformation and CNNs: A Strategy for Encoding Human Locomotor Intent for Autonomous Wearable Robots
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  57. Direct continuous electromyographic control of a powered prosthetic ankle for improved postural control after guided physical training: A case study
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  58. Performance of Sonomyographic and Electromyographic Sensing for Continuous Estimation of Joint Torque During Ambulation on Multiple Terrains
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  59. Literature review and current trends on transfemoral powered prosthetics
    Carlos Manuel Lara-Barrios, Andrés Blanco Ortega, César Humberto Guzmán-Valdivia, Karla D. Bustamante Valles · 2017 · Advanced Robotics
  60. Whole body awareness for controlling a robotic transfemoral prosthesis
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  61. Seamless and intuitive control of a powered prosthetic leg using deep neural network for transfemoral amputees
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  62. A 6-DOF exoskeleton for head and neck motion assist with parallel manipulator and sEMG based control
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  63. A Novel Method for Bilateral Gait Segmentation Using a Single Thigh-Mounted Depth Sensor and IMU
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  64. Deep Generative Models With Data Augmentation to Learn Robust Representations of Movement Intention for Powered Leg Prostheses
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  65. Smart healthcare-oriented online prediction of lower-limb kinematics and kinetics based on data-driven neural signal decoding
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  68. Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Feedforward Ballistic Contractions and Implications for Direct Neural Control of Powered Lower Limb Prostheses
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  69. Applying LDA-based pattern recognition to predict isometric shoulder and elbow torque generation in individuals with chronic stroke with moderate to severe motor impairment
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