Neurological disorders represent one of the leading causes of disability and mortality in the
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …

Wearable sensors for activity monitoring currently are being designed and developed,
driven by an increasing demand in health care for noninvasive patient monitoring and …

Gait analysis has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …

For gait analysis, especially for the detection of subtle gait abnormalities, the collected
datasets involve high variability across subjects due to inherent biometric traits and …

Human pose estimation (HPE) through deep learning-based software applications is a trend
topic for markerless motion analysis. Thanks to the accuracy of the state-of-the-art …

Gait analysis across different individuals presents significant challenges due to individual
variability. In this study, we developed a gait analysis system to enable continuous decoding …

Functional electrical stimulation (FES) can be used to stimulate the lower-limb muscles to
provide walking assistance to stroke patients. However, the existing surface …

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 …

Introduction In this study, we explore the potential benefits of integrating natural cognitive
systems (medical professionals' expertise) and artificial cognitive systems (deep learning …

Background/Objectives: This paper proposes a method for managing gait imbalances by
integrating the Internet of Things (IoT) and machine learning technologies. Ankle–foot …