In order to resolve the problem of unstable control of force in human–computer interaction
based on surface EMG signals, the adaptive neural fuzzy inference system is designed to …

Introduction To understand the current practices in stroke evaluation, the main clinical
decision support system and artificial intelligence (AI) technologies need to be understood to …

Background: Stroke is the fourth leading cause of death in Europe, represents one of the
most common causes of disability in adult patients, and involves considerable short-and …

Motor function assessment is crucial for post-stroke rehabilitation. Conventional evaluation
methods are subjective, heavily depending on the experience of therapists. In light of the …

Rehabilitation is essential for post-stroke body function recovery. Supported by the mirror
neuron theory, motor imagery (MI) has been proposed as a potential stroke therapy capable …

Commonly used sensors like accelerometers, gyroscopes, surface electromyography
sensors, etc., which provide a convenient and practical solution for human activity …

This paper proposes a reliable monitoring scheme that can assist medical specialists in
watching over the patient's condition. Although several technologies are traditionally used to …

Motor imagery combining virtual reality (VR) technique has recently been reported to have
an increasingly positive impact on post-stroke rehabilitation. However, there is a common …

In this paper, a novel prediction model is proposed to estimate human continuous motion
intention using a fuzzy wavelet neural network (FWNN) and a zeroing neural network (ZNN) …

Cerebrovascular accident is a serious public health problem and requires the attention of
professionals who can detect, diagnose, and provide care in a timely fashion. A quantitative …