In the last few decades, a number of technological developments have advanced the spread
of wearable sensors for the assessment of human motion. These sensors have been also …

Artificial intelligence and machine learning (AI/ML) could enhance the ability to detect
patterns of clinical characteristics in low-back pain (LBP) and guide treatment. We …

Objective The distribution of injuries affecting professional golfers is yet to be fully
understood. We performed a systematic review of the clinical literature to establish the …

Context: Low back pain is common in golfers. The risk factors for golf-related low back pain
are unclear but may include individual demographic, anthropometric, and practice factors as …

Purpose To evaluate the predictive performance of statistical models which distinguishes
different low back pain (LBP) sub-types and healthy controls, using as input predictors the …

Surface electromyography (sEMG) is the acquisition, from the skin, of the electrical signal
produced by muscle activation. Usually, sEMG is measured through electrodes with …

As the Autonomous Vehicle (AV) industry is rapidly advancing, the classification of non-
motorized (vulnerable) road users (VRUs) becomes essential to ensure their safety and to …

This paper proposes an EMG recognition system of gras** force on the basis of the
pattern recognition, which can classify the surface electromyography (sEMG) signals from 2 …

Production of functional forces by human motor systems require coordination across multiple
muscles. Grip and pinch are two prototypes for gras** force production. Each grasp plays …

The purpose of this narrative review is to provide a critical reflection of how analytical
machine learning approaches could provide the platform to harness variability of patient …