AIMC Topic: Biomechanical Phenomena
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Design of the musculoskeletal leg based on the physiology of mono-articular and biarticular muscles in the human leg.
Bioinspiration & biomimetics
Sep 6, 2019
In a lower extremity musculoskeletal leg, the actuation kinematics define the interaction of the actuators with each other and the environment. Design of such a kinematic chain is challenging due to the existence of the redundant biarticular actuator...
A probabilistic method to estimate gait kinetics in the absence of ground reaction force measurements.
Journal of biomechanics
Sep 5, 2019
Human joint torques during gait are usually computed using inverse dynamics. This method requires a skeletal model, kinematics and measured ground reaction forces and moments (GRFM). Measuring GRFM is however only possible in a controlled environment...
The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients: a cross-sectional pilot study.
Topics in stroke rehabilitation
Sep 4, 2019
: The Gait Exercise Assist Robot (GEAR) has been developed to support gait training for stroke patients. The GEAR can assist paretic lower limb swing and stance stability, which make it possible to practice walking without excessive compensation move...
Robotically Simulated Pivot Shift That Represents the Clinical Exam.
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Aug 26, 2019
A thorough understanding of anterior cruciate ligament (ACL) function and the effects of surgical interventions on knee biomechanics requires robust technologies and simulation paradigms that align with clinical insight. In vitro orthopedic biomechan...
Estimation of Vertical Ground Reaction Force Using Low-Cost Insole With Force Plate-Free Learning From Single Leg Stance and Walking.
IEEE journal of biomedical and health informatics
Aug 23, 2019
For the evaluation of pathological gait, a machine learning-based estimation of the vertical ground reaction force (vGRF) using a low-cost insole is proposed as an alternative to costly force plates. However, learning a model for estimation still rel...
A Multi-Mode Rehabilitation Robot With Magnetorheological Actuators Based on Human Motion Intention Estimation.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 22, 2019
Lower extremity paralysis has become common in recent years, and robots have been developed to help patients recover from it. This paper presents such a robotic system that allows for two working modes, the robot-active mode and human-active mode. Th...
Unilateral vs Bilateral Hybrid Approaches for Upper Limb Rehabilitation in Chronic Stroke: A Randomized Controlled Trial.
Archives of physical medicine and rehabilitation
Aug 14, 2019
OBJECTIVE: To investigate the effects of unilateral hybrid therapy (UHT) and bilateral hybrid therapy (BHT) compared with robot-assisted therapy (RT) alone in patients with chronic stroke.
A controller for walking derived from how humans recover from perturbations.
Journal of the Royal Society, Interface
Aug 14, 2019
Humans can walk without falling despite some external perturbations, but the control mechanisms by which this stability is achieved have not been fully characterized. While numerous walking simulations and robots have been constructed, no full-state ...
Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment and Task Recommendation.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 8, 2019
In this paper, we propose a machine learning-based virtual physical therapist (PT) system to enable personalized remote training for patients with Parkinson's disease (PD). Three physical therapy tasks with multiple difficulty levels are selected to ...
User-Computer Interface
Parkinson Disease
Exercise Therapy
Psychomotor Performance
Aged, 80 and over
Biomechanical Phenomena
Male
Middle Aged
Automation
Movement
Physical Therapy Modalities
Physical Therapists
Humans
Machine Learning
Algorithms
Precision Medicine
Female
Reproducibility of Results
Aged
Time-delay estimation based computed torque control with robust adaptive RBF neural network compensator for a rehabilitation exoskeleton.
ISA transactions
Aug 6, 2019
A new approach to gait rehabilitation task of a 12 DOF lower limb exoskeleton is proposed combining time-delay estimation (TDE) based computed torque control (CTC) and robust adaptive RBF neural networks. In addition to the conventional advantages of...
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