Detection and assessment of Parkinson's disease based on gait analysis: A survey

Y Guo, J Yang, Y Liu, X Chen, GZ Yang - Frontiers in aging …, 2022 - frontiersin.org
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 …

Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions

B Garcia Santa Cruz, A Husch, F Hertel - Frontiers in Aging …, 2023 - frontiersin.org
Parkinson's disease (PD) is a progressive and complex neurodegenerative disorder
associated with age that affects motor and cognitive functions. As there is currently no cure …

Monitoring gait at home with radio waves in Parkinson's disease: A marker of severity, progression, and medication response

Y Liu, G Zhang, CG Tarolli, R Hristov… - Science Translational …, 2022 - science.org
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 …

Deep relation learning for regression and its application to brain age estimation

S He, Y Feng, PE Grant, Y Ou - IEEE transactions on medical …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks

G Amprimo, G Masi, G Pettiti, G Olmo, L Priano… - … Signal Processing and …, 2024 - Elsevier
Accurate 3D tracking of hand and fingers movements poses significant challenges in
computer vision. The potential applications span across multiple domains, including human …

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 …

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 …

Video-based quantification of gait impairments in Parkinson's disease using skeleton-silhouette fusion convolution network

Q Zeng, P Liu, N Yu, J Wu, W Huo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Gait impairments are among the most common hallmarks of Parkinson's disease (PD),
usually appearing in the early stage and becoming a major cause of disability with disease …

Gaitforemer: Self-supervised pre-training of transformers via human motion forecasting for few-shot gait impairment severity estimation

M Endo, KL Poston, EV Sullivan, L Fei-Fei… - … Conference on Medical …, 2022 - Springer
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 …

Selecting and Evaluating Key MDS-UPDRS Activities Using Wearable Devices for Parkinson's Disease Self-Assessment

Y Zhao, X Wang, X Peng, Z Li, F Nan… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
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 …