Simulation-Based Design for Wearable Robotic Systems: An Optimization Framework for Enhancing a Standing Long Jump
We propose a simulation-based, optimization framework for designing devices to augment a standing long jump. We first show how the framework can generate a realistic jump without relying on experimental data. We then use the framework to design active and passive devices to increase jump distance and analyze the optimal human and device control strategies.
Toward Balance Recovery with Leg Prostheses using Neuromuscular Model Control
Maintaining amputee gait stability is an important task for active lower-limb prostheses. We propose a new transfemoral prosthesis control adapted from a neuromuscular model of human locomotion and examine its ability to improve the stability of a simulated amputee model. We also show preliminary data obtained from testing the proposed control on prosthesis hardware. The results suggest that neuromuscular prosthesis control is a promising alternative to existing control strategies.
A Simple Model to Estimate Plantarflexor Muscle-Tendon Mechanics and Energetics During Walking with Elastic Ankle Exoskeletons
We developed a simple musculoskeletal modeling framework to study the muscle-level effects of wearing a passive elastic ankle exoskeleton during human walking. Our simulations reveal that ‘more is not better’ when it comes to tuning exoskeleton stiffness for maximal reductions in metabolic cost of the user.
Evaluation of linear regression simultaneous myoelectric control using intramuscular EMG
We demonstrated the ability for linear regression-based methods to decode patterns of muscle co-activation from intramuscular electromyography and provide simultaneous control of a wrist and hand system for future application in advanced powered prosthetic limbs. Real-time controllability was evaluated using able-bodied subjects participating in a virtual target-acquisition task, where intended wrist and hand motion corresponded to the movement of a ring-shaped cursor.
User-Independent Recognition of Sports Activities From a Single Wrist-Worn Accelerometer: A Template-Matching-Based Approach
The discrimination of sports exercises using an unobtrusive monitoring system represents a challenge to real life applications. We propose a template matching-based framework to recognize sport activities using one single accelerometer placed at the wrist. The obtained results confirm the viability of the proposed approach and highlight its robustness against variations due to inter-individual differences in motion pattern and motor skills.
Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise and B0 Field Inhomogeneity
This paper presents an improved low-rank method for denoising magnetic resonance spectroscopic imaging data. The method will enhance the practical utility of high-resolution magnetic resonance spectroscopic imaging, where low signal-to-noise ratio has been a limiting factor.