Human gait is a periodic motion of body segments—the analysis of motion and related
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …

Traditional laboratory experiments, rehabilitation clinics, and wearable sensors offer
biomechanists a wealth of data on healthy and pathological movement. To harness the …

Autoimmune diseases are chronic, multifactorial conditions. Through machine learning (ML),
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …

Human biomechanics and gait form an integral part of life. The gait analysis involves a large
number of interdependent parameters that were difficult to interpret due to a vast amount of …

In this paper we present the findings of a systematic literature review covering the articles
published in the last two decades in which the authors described the application of a …

This paper reviews the state of the arts and trends of the AI-Based biomedical processing
algorithms and hardware. The algorithms and hardware for different biomedical applications …

Surface electromyogram (sEMG) signals can be applied in medical, rehabilitation, robotic,
and industrial fields. As a typical application, a myoelectric prosthetic hand is controlled by …

Gait disorders are common in neurodegenerative diseases and distinguishing between
seemingly similar kinematic patterns associated with different pathological entities is a …

Deep Learning (DL) has been recently employed to build smart systems that perform
incredibly well in a wide range of tasks, such as image recognition, machine translation, and …

Rheumatoid Arthritis (RA) is a type of dreadful autoimmune disease that affects the entire
human body, especially joints. Early diagnosis of RA is a challenging task for General …