Ataxia telangiectasia, one of the rare human autosomal recessive disorders, results from a
mutation in the Ataxia telangiectasia mutated kinase (ATM) gene, leading to high …

The advent of computer vision technology and increased usage of video cameras in clinical
settings have facilitated advancements in movement disorder analysis. This review …

We present an artificial intelligence (AI) system to remotely assess the motor performance of
individuals with Parkinson's disease (PD). In our study, 250 global participants performed a …

Accurate 3D tracking of hand and fingers movements poses significant challenges in
computer vision. The potential applications span across multiple domains, including human …

Freezing of gait (FOG) is a poorly understood heterogeneous gait disorder seen in patients
with parkinsonism which contributes to significant morbidity and social isolation. FOG is …

Ataxia rating scales are observer administered clinical outcome assessments (COAs) of the
cerebellar motor syndrome. It is not known whether these COAs mirror patient experience of …

Optimal placement of deep brain stimulation (DBS) therapy for treating movement disorders
routinely relies on intraoperative motor testing for target determination. However, in current …

The study presents a novel approach to objectively assessing the upper-extremity motor
symptoms in spinocerebellar ataxia (SCA) using data collected via a wearable sensor worn …

Tremor is one of the most common neurological symptoms. Its clinical and neurobiological
complexity necessitates novel approaches for granular phenotyping. Instrumented …

Abstract Background: Parkinson's Disease (PD) demands early diagnosis and frequent
assessment of symptoms. In particular, analysing hand movements is pivotal to understand …