Detection and assessment of Parkinson's disease based on gait analysis: A survey
Neurological disorders represent one of the leading causes of disability and mortality in the
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …
Monitoring gait at home with radio waves in Parkinson's disease: A marker of severity, progression, and medication response
Parkinson's disease (PD) is the fastest-growing neurological disease in the world. A key
challenge in PD is tracking disease severity, progression, and medication response. Existing …
challenge in PD is tracking disease severity, progression, and medication response. Existing …
[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 …
Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity
W Liu, X Lin, X Chen, Q Wang, X Wang, B Yang… - Medical Image …, 2023 - Elsevier
Parkinson's disease (PD) is a common neurodegenerative movement disorder among older
individuals. As one of the typical symptoms of PD, tremor is a critical reference in the PD …
individuals. As one of the typical symptoms of PD, tremor is a critical reference in the PD …
Deep relation learning for regression and its application to brain age estimation
Most deep learning models for temporal regression directly output the estimation based on
single input images, ignoring the relationships between different images. In this paper, we …
single input images, ignoring the relationships between different images. In this paper, we …
[HTML][HTML] Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks
Accurate 3D tracking of hand and fingers movements poses significant challenges in
computer vision. The potential applications span across multiple domains, including human …
computer vision. The potential applications span across multiple domains, including human …
Pecop: Parameter efficient continual pretraining for action quality assessment
A Dadashzadeh, S Duan, A Whone… - Proceedings of the …, 2024 - openaccess.thecvf.com
The limited availability of labelled data in Action Quality Assessment (AQA), has forced
previous works to fine-tune their models pretrained on large-scale domain-general datasets …
previous works to fine-tune their models pretrained on large-scale domain-general datasets …
A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements
Bradykinesia is one of the core motor symptoms of Parkinson's disease (PD). Neurologists
typically perform face-to-face bradykinesia assessment in PD patients according to the …
typically perform face-to-face bradykinesia assessment in PD patients according to the …
Gaitforemer: Self-supervised pre-training of transformers via human motion forecasting for few-shot gait impairment severity estimation
Parkinson's disease (PD) is a neurological disorder that has a variety of observable motor-
related symptoms such as slow movement, tremor, muscular rigidity, and impaired posture …
related symptoms such as slow movement, tremor, muscular rigidity, and impaired posture …
Selecting and Evaluating Key MDS-UPDRS Activities Using Wearable Devices for Parkinson's Disease Self-Assessment
Parkinson's disease (PD) is a complex neurodegenerative disease in the elderly. This
disease has no cure, but assessing these motor symptoms will help slow down that …
disease has no cure, but assessing these motor symptoms will help slow down that …