The current gold standard for gait analysis involves performing the gait experiments in a
laboratory environment with a constrained space. However, there is growing interest in …

Over the past few years, there has been notable advancement in the field of Quantified Gait
Analysis (QGA), thanks to machine learning techniques. QGA and gait prediction are areas …

Gait disability in people with progressive multiple sclerosis (MS) is difficult to quantify using
existing clinical tools. This study aims to identify reliable and objective gait-based …

Postural control is a complex sensorimotor skill that is fundamental to our daily life. The
abilities to maintain and recover balance degrade with age. However, the time decay of …

The importance of gait analysis in medical applications, such as in rehabilitation, has been
widely studied. Wearable sensors have gained popularity owing to their convenience of use …

Background: Essential tremor (ET) encompasses a variety of features, including tremor,
cognitive dysfunction, and gait and balance impairments. Gait and balance impairments in …

It is challenging to discriminate the early presentation of Degenerative Cervical Myelopathy
(DCM) as well as sensitively and accurately distinguishing between mild, moderate, and …

Gait and balance have emerged as a critical area of research in health technology. Gait and
balance studies have been affected by the researchers' slow follow-up of research advances …

Background The development of treatments for freezing of gait (FOG) in Parkinson's disease
(PD) requires experimental study set-ups in which FOG is likely to occur, and is amenable to …

Background Spatiotemporal parameters of gait are useful for identifying pathological gait
patterns and presence of impairments. Reliability of the pressure-sensitive ZenoTM …