Patients with severe CNS injuries struggle primarily with their sensorimotor function and
communication with the outside world. There is an urgent need for advanced neural …

Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …

Bilateral rehabilitation robotics can allow hemiplegia patients to regain the cooperative
capabilities of both arms by synchronized coordination movements. Furthermore, the …

While in the literature there is much interest in investigating lower limbs gait of patients
affected by neurological diseases, such as Parkinson's Disease (PD), fewer publications …

The lack of intuitive and active human–robot interaction makes it difficult to use upper-limb-
assistive devices. In this paper, we propose a novel learning-based controller that intuitively …

This is the first attempt at considering human influence in the reinforcement learning control
of a robotic lower limb prosthesis toward symmetrical walking in real world situations. We …

Introduction Although robot-assisted task-oriented upper limb (UL) motor training had been
shown to be effective for UL functional rehabilitation after stroke, it did not improve UL motor …

In this paper, a novel mirror visual feedback-based (MVF) bilateral neurorehabilitation
system with surface electromyography (sEMG)-based patient active force assessment was …

OBJECTIVE: The goal of this study was to compare the effect of different artificial intelligence
(AI) machine learning and conventional therapy (CT) on upper limb impairments in patients …

Abstract In this context, Fuzzy Fractional Order Proportional Integral Derivative (FOPID-FLC)
controllers are emerged as efficient approaches due to their flexibility and ability to handle …