Using electromyogram (EMG) signals to control upper-limb prostheses is an important
clinical option, offering a person with amputation autonomy of control by contracting residual …

Background Processing and pattern recognition of myoelectric signals have been at the core
of prosthetic control research in the last decade. Although most studies agree on reporting …

Our research group recently demonstrated that a person with tetraplegia could use a brain–
computer interface (BCI) to control a sophisticated anthropomorphic robotic arm with skill …

Prosthetic wrists need to be compact. By minimizing space requirements, a wrist unit can be
made for people with long residual limbs. This prosthetic wrist uses two motors arranged …

Abstract As Brain-Computer Interface (BCI) systems advance for uses such as robotic arm
control it is postulated that the control paradigms could apply to other scenarios, such as …

We developed an interface to the commercial video game Guitar Heroreg III using surface
electromyography (EMG) to create a novel training and evaluation device for upperextremity …

Individuals with upper extremity (UE) amputation abandon prostheses due to challenges
with significant device weight—particularly among myoelectric prostheses—and limited …

Brain machine interfaces (BMIs) have the potential to assist in the rehabilitation of millions of
patients worldwide. Despite recent advancements in BMI technology for the restoration of …

Advancements in multiarticulate upper-limb prosthetics have outpaced the development of
intuitive, non-invasive control mechanisms for implementing them. Surface …

This study presents the development of a myoelectric decoding algorithm capable of
continuous online decoding of finger movements with the intended eventual application for …