AIMC Topic: Muscle, Skeletal

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Neuromorphic meets neuromechanics, part I: the methodology and implementation.

Journal of neural engineering
OBJECTIVE: One goal of neuromorphic engineering is to create 'realistic' robotic systems that interact with the physical world by adopting neuromechanical principles from biology. Critical to this is the methodology to implement the spinal circuitry ...

Support vector machines to detect physiological patterns for EEG and EMG-based human-computer interaction: a review.

Journal of neural engineering
Support vector machines (SVMs) are widely used classifiers for detecting physiological patterns in human-computer interaction (HCI). Their success is due to their versatility, robustness and large availability of free dedicated toolboxes. Frequently ...

Robot-guided ankle sensorimotor rehabilitation of patients with multiple sclerosis.

Multiple sclerosis and related disorders
BACKGROUND: People with multiple sclerosis (MS) often develop symptoms including muscle weakness, spasticity, imbalance, and sensory loss in the lower limbs, especially at the ankle, which result in impaired balance and locomotion and increased risk ...

Biofeedback Signals for Robotic Rehabilitation: Assessment of Wrist Muscle Activation Patterns in Healthy Humans.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Electrophysiological recordings from human muscles can serve as control signals for robotic rehabilitation devices. Given that many diseases affecting the human sensorimotor system are associated with abnormal patterns of muscle activation, such biof...

Robot-assisted mechanical therapy attenuates stroke-induced limb skeletal muscle injury.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
The efficacy and optimization of poststroke physical therapy paradigms is challenged in part by a lack of objective tools available to researchers for systematic preclinical testing. This work represents a maiden effort to develop a robot-assisted me...

Improving actuation efficiency through variable recruitment hydraulic McKibben muscles: modeling, orderly recruitment control, and experiments.

Bioinspiration & biomimetics
Hydraulic control systems have become increasingly popular as the means of actuation for human-scale legged robots and assistive devices. One of the biggest limitations to these systems is their run time untethered from a power source. One way to inc...

Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Accurate segmentation of perimysium plays an important role in early diagnosis of many muscle diseases because many diseases contain different perimysium inflammation. However, it remains as a challenging task due to the complex appearance of the per...

A Novel EMG Interface for Individuals With Tetraplegia to Pilot Robot Hand Grasping.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper introduces a new human-machine interface for individuals with tetraplegia. We investigated the feasibility of piloting an assistive device by processing supra-lesional muscle responses online. The ability to voluntarily contract a set of s...

Variable recruitment in bundles of miniature pneumatic artificial muscles.

Bioinspiration & biomimetics
The natural compliance and force generation properties of pneumatic artificial muscles (PAMs) allow them to operate like human muscles in anthropomorphic robotic manipulators. Traditionally, manipulators use a single PAM or multiple PAMs actuated in ...