In recent years, the use of inertial measurement unit (IMU)-based motion capture (Mocap)
systems in rehabilitation has grown significantly. This paper aimed to provide an overview of …

Our objective was to conduct a scoping review which summarizes the growing body of
literature using wearable inertial sensors for gait analysis in lower limb osteoarthritis. We …

Osteopenia and sarcopenia can cause various senile diseases and are key factors related
to the quality of life in old age. There is need for portable tools and methods that can analyze …

The study of human movement and biomechanics forms an integral part of various clinical
assessments and provides valuable information toward diagnosing neurodegenerative …

Many machine learning models show black box characteristics and, therefore, a lack of
transparency, interpretability, and trustworthiness. This strongly limits their practical …

Artificial intelligence and machine-learning analytics have gained extensive popularity in
recent years due to their clinically relevant applications. A wide range of proof-of-concept …

Clinical classification models are mostly pathology-dependent and, thus, are only able to
detect pathologies they have been trained for. Research is needed regarding pathology …

Gait, balance, and coordination are important in the development of chronic disease, but the
ability to accurately assess these in the daily lives of patients may be limited by traditional …

Background: There has been a considerable increase in total joint arthroplasty (TJA)
research using machine learning (ML). Therefore, the purposes of this study were to …

With the rapid development of Internet of Things (IoT) technologies, traditional disease
diagnoses carried out in medical institutions can now be performed remotely at home or …