Given the advanced breakthroughs in the field of supportive robotic technologies, interest in
the integration of the human body and a robot into a single system has rapidly increased …

The aim this study was to classify neuromuscular disorders using artificial neural networks
(ANNs). To achieve this target, EMG signals received from normal, neuropathy, and …

Passive exercises are implemented by physiotherapists to people who have movement
functionality loss due to any reason at their limbs for recovering all or a part of movement …

Artificial intelligence (AI) has the potential to disrupt the healthcare industry. Initial
applications show AI can provide similar or superior diagnoses, prognoses, and surgical …

The main aim of the article is to present and describe the results of research and
development of robotic manipulator (arm) with three degrees of freedom for wheeled mobile …

The overarching goal of this project is to develop novel neural motor decoders for prosthetic
control. EMG decoders measure the activity from an intact but non-target muscle. Neural …

Two Decades of Assistive Technologies to Empower People with Disability: a Systematic
Map** Study Page 1 Two Decades of Assistive Technologies to Empower People with …

People who are fitted with prosthetics due to the loss of a limb may have difficulty performing
simple daily tasks that may be taken for granted, such as tying shoe laces or opening a jar …

Upper limb amputees are individuals who lost their hands due to trauma and injury.
Controlled prosthesis based on surface Electromyography (sEMG) signals recovers the lost …

A perda de um membro do corpo humano tem um impacto devastador na autonomia do
indivíduo de realizar tarefas. Os impactos sociais, emocionais e físicos relacionados a perda …