AI Medical Compendium Topic

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Muscle, Skeletal

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Effect of body weight support variation on muscle activities during robot assisted gait: a dynamic simulation study.

Computer methods in biomechanics and biomedical engineering
BACKGROUND AND OBJECTIVES: While body weight support (BWS) intonation is vital during conventional gait training of neurologically challenged subjects, it is important to evaluate its effect during robot assisted gait training. In the present researc...

Compact and low-cost humanoid hand powered by nylon artificial muscles.

Bioinspiration & biomimetics
This paper focuses on design, fabrication and characterization of a biomimetic, compact, low-cost and lightweight 3D printed humanoid hand (TCP Hand) that is actuated by twisted and coiled polymeric (TCP) artificial muscles. The TCP muscles were rece...

Knitting and weaving artificial muscles.

Science advances
A need exists for artificial muscles that are silent, soft, and compliant, with performance characteristics similar to those of skeletal muscle, enabling natural interaction of assistive devices with humans. By combining one of humankind's oldest tec...

A survey on dielectric elastomer actuators for soft robots.

Bioinspiration & biomimetics
Conventional industrial robots with the rigid actuation technology have made great progress for humans in the fields of automation assembly and manufacturing. With an increasing number of robots needing to interact with humans and unstructured enviro...

Neuromorphic meets neuromechanics, part II: the role of fusimotor drive.

Journal of neural engineering
OBJECTIVE: We studied the fundamentals of muscle afferentation by building a Neuro-mechano-morphic system actuating a cadaveric finger. This system is a faithful implementation of the stretch reflex circuitry. It allowed the systematic exploration of...

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...