IEEE ... International Conference on Rehabilitation Robotics

(ISSN: 1945-7898,1945-791X)

Table of Contents

From IEEE ... International Conference on Rehabilitation Robotics

2023 - 2023

  • Influence of Robotic Therapy on Severe Stroke Patients. 
  • Model-Based Upper-Limb Gravity Compensation Strategies for Active Dynamic Arm Supports. 
  • Development and Validation of a Flexible Sensing Array for Placement within the Physical Human-Exoskeleton Interface. 
  • Design of a Self-Aligning Four-Finger Exoskeleton for Finger Abduction/Adduction and Flexion/Extension Motion. 
  • The Effect of Feedback Modality When Learning a Novel Wrist Sensorimotor Transformation Through a Body-Machine Interface. 
  • Investigating Changes in Muscle Coordination During Cycling with Soft Wearable Strain Sensors Sensitive to Muscle Deformation. 
  • Robotic Brace Based Multi-Dimensional Assessment for Trunk Ability: A Preliminary Study in Patients with Spinal Cord Injury. 
  • The Dynamic Adoption Journey: A Typology for Users and Non-Users of Occupational Exoskeletons. 
  • Synergy-Driven Musculoskeletal Modeling to Estimate Muscle Excitations and Joint Moments at Different Walking Speeds in Individuals with Transtibial Amputation. 
  • Feasibility and Validation of a Robotic-Based Multisensory Integration Assessment in Healthy Controls and a Stroke Patient. 
  • MITEx: A Portable Hand Exoskeleton for Assessment and Treatment in Neurological Rehabilitation. 
  • Spatial and Temporal Analysis of Normal and Shear Forces During Grasping, Manipulation and Social Activities. 
  • Increasing the Motivation to Train Through Haptic Social Interaction - Pilot study. 
  • Preliminary Results from a Six-Week Home-Based Evaluation of a Rehabilitation Device for Hand and Wrist Therapy After Stroke. 
  • Decoding Upper-Limb Movement Intention Through Adaptive Dynamic Movement Primitives: A Proof-of-Concept Study with a Shoulder-Elbow Exoskeleton. 
  • Immediate Effect of Ankle Exoskeleton on Spatiotemporal Parameters and Center of Pressure Trajectory After Stroke. 
  • Virtual Physical Coupling of Two Lower-Limb Exoskeletons. 
  • Biomechanical Gait Effects of a Single Intervention with Wearable Closed Loop Control FES System in Chronic Stroke Patients. A Proof-of-Concept Pilot Study. 
  • Preliminary Assessment of Two Simultaneous and Proportional Myocontrol Methods for 3-DoFs Prostheses Using Incremental Learning. 
  • Towards Personalized Control for Powered Knee Prostheses: Continuous Impedance Functions and PCA-Based Tuning Method. 
  • State-Based Versus Time-Based Estimation of the Gait Phase for Hip Exoskeletons in Steady and Transient Walking. 
  • INSPIIRE - A Modular and Passive Exoskeleton to Investigate Human Walking and Balance. 
  • Development of the Biomech-Wrist: A 3-DOF Exoskeleton for Rehabilitation and Training of Human Wrist. 
  • Momentum-Based Balance Control of a Lower-Limb Exoskeleton During Stance. 
  • Transferring Gait Predictors Across EMG Acquisition Systems with Domain Adaptation. 
  • Human-Centered Functional Task Design for Robotic Upper-Limb Rehabilitation. 
  • Individualized Learning-Based Ground Reaction Force Estimation in People Post-Stroke Using Pressure Insoles. 
  • Model Predictions that Consider Individualized Gait Patterns and Patient Mobility Level for the Use of Passive Hip-Flexion Exosuits by Persons with Unilateral Transfemoral Amputation. 
  • Skeleton Tracking Solutions for a Low-Cost Stroke Rehabilitation Support System. 
  • Gait-Oriented Post-Stroke Rehabilitation Tasks Online Trajectory Generation for 1-DOF Hip Lower-Limb Exoskeleton. 
  • Novel Design and Implementation of a Neuromuscular Controller on a Hip Exoskeleton for Partial Gait Assistance. 
  • Comparison of Two Design Principles of Unpowered Ankle-Foot Orthoses for Supporting Push-Off: A Case Study. 
  • Development and Validation of a Kinematically Accurate Upper-Limb Exoskeleton Digital Twin for Stroke Rehabilitation. 
  • Does a Soft Actuated Back Exosuit Influence Multimodal Physiological Measurements and User Perception During an Industry Inspired Task? 
  • Hybrid Functional Electrical Stimulation and Robotic Assistance for Wrist Motion Training After Stroke: Preliminary Results. 
  • Intuitive, Myoelectric Control of Adaptive Sports Equipment for Individuals with Tetraplegia. 
  • Guided Exploration Leads to Faster Familiarization with a Wearable Robot: First Results of an Innovative Protocol. 
  • Design and Evaluation of Cyclic Vibrotactile Funneling Illusion Method for Proprioceptive Position Sense Feedback. 
  • An EMG-Based Objective Function for Human-in-the-Loop Optimization. 
  • A Wearable Testbed for Studying Variable Transmission in Body-Powered Prosthetic Gripping. 
  • A Wearable Upper Extremity Rehabilitation Device for Inducing Arm Swing in Gait Training. 
  • Continuous Phase Estimation in a Variety of Locomotion Modes Using Adaptive Dynamic Movement Primitives. 
  • An Experimental Setup to Test Obstacle-Dealing Capabilities of Prosthetic Feet. 
  • Plugging Energy Regeneration Improves Braking Torque at Low Speed Instead of Dynamic Energy Regeneration. 
  • Customized Series Elastic Actuator for a Safe and Compliant Human-Robot Interaction: Design and Characterization. 
  • Comparison of Lower Arm Weight and Passive Elbow Joint Impedance Compensation Strategies in Non-Disabled Participants. 
  • Modelling Physical Human-Robot Interface with Different Users, Cuffs, and Strapping Pressures: A Case Study. 
  • The Study of Complex Manipulation via Kinematic Hand Synergies: The Effects of Data Pre-Processing. 
  • A Wearable Device for Hand Sensorimotor Rehabilitation Through Augmented Sensory Feedback. 
  • Quantitative and Qualitative Evaluation of Exoskeleton Transparency Controllers for Upper-Limb Neurorehabilitation. 
  • Adaptive Gravity Compensation Framework Based on Human Upper Limb Model for Assistive Robotic Arm Extender. 
  • A Decision Support System to Provide an Ongoing Prediction of Robot-Assisted Rehabilitation Outcome in Stroke Survivors. 
  • Sensory-Motor Neurostimulation to Enhance Exosuit Performance. 
  • EMG-Informed Neuromusculoskeletal Modelling Estimates Muscle Forces and Joint Moments During Electrical Stimulation. 
  • Hybrid Rehabilitation System with Motion Estimation Based on EMG Signals. 
  • Learning Activities of Daily Living from Unobtrusive Multimodal Wearables: Towards Monitoring Outpatient Rehabilitation. 
  • Improving Walking Assistance Efficiency in Real-World Scenarios with Soft Exosuits Using Locomotion Mode Detection. 
  • Towards AI-Controlled Movement Restoration: Learning FES-Cycling Stimulation with Reinforcement Learning. 
  • Neuro-Rehabilitation Therapy with T-FLEX Ankle Exoskeleton and Serious Games: A Case Study. 
  • Control of a Back-Support Exoskeleton to Assist Carrying Activities. 
  • Automated Quantifiable Assessments of Sensorimotor Function Using an Instrumented Fragile Object. 
  • Correcting Temporal Inaccuracies in Labeled Training Data for Electromyographic Control Algorithms. 
  • Adaptive Filter for Biosignal-Driven Force Controls Preserves Predictive Powers of sEMG. 
  • Feasibility Study: Towards a Robot-Assisted Gait Training in Ophthalmological Rehabilitation. 
  • Center-of-Mass Based foot Placement in Stumble Recovery. 
  • Bill-EVR: An Embodied Virtual Reality Framework for Reward-and-Error-Based Motor Rehab-Learning. 
  • 1D-Convolutional Neural Networks can Quantify Therapy Content of Children and Adolescents Walking in a Robot-Assisted Gait Trainer. 
  • User-Centered Configuration of Soft Hip Flexion Exosuit Designs to Assist Individuals with Multiple Sclerosis Through Simulated Human-in-the-Loop Optimization. 
  • Air Efficient Soft Wearable Robot for High-Torque Elbow Flexion Assistance. 
  • Systematic Evaluation of a Knee Exoskeleton Misalignment Compensation Mechanism Using a Robotic Dummy Leg. 
  • A Novel Tilted-Plane Ergometer System for Subject-Specific Rehabilitation. 
  • Attention-Based Deep Recurrent Neural Network to Estimate Knee Angle During Walking from Lower-Limb EMG. 
  • Harnessing the Power of Movement: A Body-Weight Support System & Assistive Robot Case Study. 
  • On the Usability of Polymer-Based Artificial Tendons for Elastic Energy Storage in Active Ankle Prostheses. 
  • Cooperative Goal Generation for Reaching Tasks in Robot-Assisted Rehabilitation. 
  • A Tailorable Robotic Hand Orthosis to Support Children with Neurological Hand Impairments: a Case Study in a Child's Home. 
  • Robotically Aided Method to Characterise the Soft Tissue Interaction with Wearable Robots. 
  • IMU Sensors Measurements Towards the Development of Novel Prosthetic Arm Control Strategies. 
  • Individualized Training of Back Muscles Using Iterative Learning Control of a Compliant Balance Board. 
  • Evaluation of a Passive Wearable Device for Post-Stroke Shoulder Abduction Support. 
  • Why Hard Code the Bionic Limbs When They Can Learn From Humans? 
  • Biomechanics of Exoskeleton-Assisted Treadmill Walking. 
  • Creation and Evaluation of Human Models with Varied Walking Ability from Motion Capture for Assistive Device Development. 
  • Exploring the Feasibility of Computer Vision for Detecting Post-Stroke Compensatory Movements. 
  • EMG-Based Control Strategies of a Supernumerary Robotic Hand for the Rehabilitation of Sub-Acute Stroke Patients: Proof of Concept. 
  • Design of a Quasi-Passive Ankle-Foot Orthosis with Customizable, Variable Stiffness. 
  • Multi-Objective Optimization-Based Assist-as-Needed Controller for Improved Quality of Assistance in Rehabilitation Robotics. 
  • Characterizing Eye Gaze for Assistive Device Control. 
  • Automated Patient-Robot Task Assignment in a Simulated Stochastic Rehabilitation Gym. 
  • An Integrated Eye-Tracking and Motion Capture System in Synchronized Gaze and Movement Analysis. 
  • A Method of Detecting Human Movement Intentions in Real Environments. 
  • Exploring Muscle Synergies for Performance Enhancement and Learning in Myoelectric Control Maps. 
  • Movement Reminders to Encourage Arm Use During Daily Life in Stroke Patients. 
  • End-User Perspectives of the Importance of Rehabilitation Technologies and Related Values for Implementation. 
  • Transferability of a Sensing Mattress for Posture Classification from Research into Clinics. 
  • Subject-Specific and COM Acceleration-Enhanced Reflex Neuromuscular Model to Predict Ankle Responses in Perturbed Gait. 
  • A Case Series in Position-Aware Myoelectric Prosthesis Control Using Recurrent Convolutional Neural Network Classification with Transfer Learning. 
  • Gait Phase Estimation in Steady Walking: A Comparative Study of Methods Based on the Phase Portrait of the Hip Angle. 
  • Impedance Control of a 2-DOF Spherical 5-Bar Exoskeleton for Physical Human-Robot Interaction During Rehabilitation and Assessment. 
  • Optimizing Trajectories and Inverse Kinematics for Biomechanical Analysis of Markerless Motion Capture Data. 
  • Damping TENS-Induced Essential Tremor Symptoms in Activities of Daily Living Using the TuMove Wrist Exoskeleton. 
  • VIBES: Vibro-Inertial Bionic Enhancement System in a Prosthetic Socket. 
  • Effectiveness of Visual Feedback in Reducing Trunk Compensation During Arm Reaching for Home-Based Stroke Rehabilitation. 
  • Design of a Passive Wearable Device Using an Optimized Mechanical Metamaterial for Mirror Therapy. 
  • Individualized Three-Dimensional Gait Pattern Generator for Lower Limbs Rehabilitation Robots. 
  • Exploiting Natural Locomotion Synergies to Incorporate Motion of Crutches for Adaptive Gait Pattern Shaping. 
  • Use of Metamaterials to Reduce Acoustic Noise Emissions from Lower Limb Prostheses: An Experimental Validation. 
  • Instrumented Upper Limb Functional Assessment Using a Robotic Exoskeleton: Normative References Intervals. 
  • Shoe-Type Walking Assist Device with Controllable Subtalar Joint Alignment at Heel Contact. 
  • Does the Level of Focus in Serious Games in Immersive VR Correlate with the Quality of Movement? Preliminary Results from an Ongoing Study on Rehabilitation of Children with Cerebral Palsy. 
  • Wrist EMG Improves Gesture Classification for Stroke Patients. 
  • Comparison of Admittance Control Dynamic Models for Transparent Free-Motion Human-Robot Interaction. 
  • An Exploratory Multi-Session Study of Learning High-Dimensional Body-Machine Interfacing for Assistive Robot Control. 
  • Predictive Control of Peak Achilles Tendon Force in a Simulated System of the Human Ankle Joint with a Parallel Artificial Actuator During Hopping. 
  • Understanding Characteristics of User Adherence to Optimize the Use of Home Hand Rehabilitation Technology. 
  • Investigating the Effect of Novel Gamified Stepper on Lower Limb Biomechanics in Seated Healthy Subjects. 
  • Towards Translation of Novel Neurorehabilitation Systems: A Practical Approach to Usability Testing. 
  • Estimating Joint Kinematics and Muscles Forces During Robotic Rehabilitation to Detect and Counteract Reduced Ankle Mobility. 
  • The Use of Kinematic Features in Evaluating Upper Limb Motor Function Learning Progress Based on Machine Learning. 
  • Volting, a Novel Dancing Wheelchair with Augmented Mobility: Pushing Lateral Inclinations. 
  • Enhancing Sleep Quality with Closed-Loop Autotuning of a Robotic Bed. 
  • Modeling the Human Gait Phases by Using Bèzier Curves to Generate Walking Trajectories for Lower-Limb Exoskeletons. 
  • Robot-Inspired Human Impedance Control Through Functional Electrical Stimulation. 
  • Gamification of Physical Therapy Exercises Using Commercial Entertainment Content: A Safety and Feasibility Study. 
  • Augmented Reality Feedback for Exoskeleton-Assisted Walking. A Feasibility Study. 
  • Functional MRI Assessment of Brain Activity During Hand Rehabilitation with an MR-Compatible Soft Glove in Chronic Stroke Patients: A Preliminary Study. 
  • Assessing Human-Human Kinematics for the Implementation of Robot-Assisted Physical Therapy in Humanoids: A Pilot Study. 
  • Hip Exoskeleton Based Indirect Intervention Strategy Towards Gait Training After Total Knee Arthroplasty. 
  • Grip Force Dynamics During Exoskeleton-Assisted and Virtual Grasping. 
  • Model-Based Shared Control of a Hybrid FES-Exoskeleton: An Application in Participant-Specific Robotic Rehabilitation. 
 
 

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