Fueled by the recent proliferation of energy-efficient and energy-autonomous or self-
powered nanotechnology-based wearable smart systems, human motion intention …

One of the current challenges for translational rehabilitation research is to develop the
strategies to deliver accurate evaluation, prediction, patient selection, and decision-making …

Background and objectives Lower-limb wearable devices can significantly improve the
quality of life of subjects suffering from debilitating conditions, such as amputations …

Achieving a versatile control of exoskeletons or prostheses requires accurate, robust and
fast predictions of upcoming human movements. Electromyographic (EMG) signals are …

Continuous prediction of limb joint angles is a vital task in exoskeleton robot motion control.
This article introduces a method for continuous prediction of hip and knee joint angles based …

Background: Predicting a stroke in advance or through early detection of subtle prodromal
symptoms is crucial for determining the prognosis of the remaining life. Electromyography …

Human motion intention (HMI) has increasingly gained concerns in lower limb exoskeletons
(LLEs). HMI recognition (HMIR) is the precondition for realizing active compliance control in …

Millions of individuals are living with upper extremity amputations, making them potential
beneficiaries of hand and arm prostheses. While myoelectric prostheses have evolved to …

Stroke is one of the leading causes of mortality and disability worldwide. Several evaluation
methods have been used to assess the effects of stroke on the performance of activities of …

Surface Electromyography (sEMG) has become an essential tool in various fields, including
prosthetic control and clinical evaluation of the neuromusculoskeletal system. In recent …