Objective measurement versus clinician-based assessment for Parkinson's disease
Introduction Although clinician-based assessment through standardized clinical rating
scales is currently the gold standard for quantifying motor impairment in Parkinson's disease …
scales is currently the gold standard for quantifying motor impairment in Parkinson's disease …
[HTML][HTML] Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review
The advent of computer vision technology and increased usage of video cameras in clinical
settings have facilitated advancements in movement disorder analysis. This review …
settings have facilitated advancements in movement disorder analysis. This review …
Clinically informed automated assessment of finger tapping videos in Parkinson's disease
The utilization of Artificial Intelligence (AI) for assessing motor performance in Parkinson's
Disease (PD) offers substantial potential, particularly if the results can be integrated into …
Disease (PD) offers substantial potential, particularly if the results can be integrated into …
FastEval Parkinsonism: an instant deep learning–assisted video-based online system for Parkinsonian motor symptom evaluation
Abstract The Motor Disorder Society's Unified Parkinson's Disease Rating Scale (MDS-
UPDRS) is designed to assess bradykinesia, the cardinal symptoms of Parkinson's disease …
UPDRS) is designed to assess bradykinesia, the cardinal symptoms of Parkinson's disease …
Video-Based Hand Pose Estimation for Remote Assessment of Bradykinesia in Parkinson's Disease
There is a growing interest in using pose estimation algorithms for video-based assessment
of Bradykinesia in Parkinson's Disease (PD) to facilitate remote disease assessment and …
of Bradykinesia in Parkinson's Disease (PD) to facilitate remote disease assessment and …
[HTML][HTML] Deep learning for hand tracking in Parkinson's disease video-based assessment: Current and future perspectives
Abstract Background: Parkinson's Disease (PD) demands early diagnosis and frequent
assessment of symptoms. In particular, analysing hand movements is pivotal to understand …
assessment of symptoms. In particular, analysing hand movements is pivotal to understand …
Probabilistic Refinement of Focused Ultrasound Thalamotomy Targeting for Parkinson's Disease Tremor
Background There remains high variability in clinical outcomes when the same magnetic
resonance image‐guided focused ultrasound (MRgFUS) thalamotomy target is used for both …
resonance image‐guided focused ultrasound (MRgFUS) thalamotomy target is used for both …
An optimized-skeleton-based Parkinsonian gait auxiliary diagnosis method with both monitoring indicators and assisted ratings
Abnormal gait is one of the indispensable diagnostic sources of Parkinson's disease (PD)
diagnosis, typically presenting as small shuffling steps and gait bradykinesia. However, its …
diagnosis, typically presenting as small shuffling steps and gait bradykinesia. However, its …
Smartphone-Based Digitized Neurological Examination Toolbox for Multi-test Neurological Abnormality Detection and Documentation
Understanding the efficacy of digital biomarkers in vision-based human motion analysis is
essential, not only for interpreting the computer-aided exam results but also for advancing …
essential, not only for interpreting the computer-aided exam results but also for advancing …
Sensor-Based Quantification of MDS-UPDRS III Subitems in Parkinson's Disease Using Machine Learning
Wearable sensors could be beneficial for the continuous quantification of upper limb motor
symptoms in people with Parkinson's disease (PD). This work evaluates the use of two …
symptoms in people with Parkinson's disease (PD). This work evaluates the use of two …