Graph-based deep learning for medical diagnosis and analysis: past, present and future
With the advances of data-driven machine learning research, a wide variety of prediction
problems have been tackled. It has become critical to explore how machine learning and …
problems have been tackled. It has become critical to explore how machine learning and …
Graph neural networks in IoT: A survey
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
Computer vision quantification of whole-body Parkinsonian bradykinesia using a large multi-site population
G Morinan, Y Dushin, G Sarapata… - npj Parkinson's …, 2023 - nature.com
Parkinson's disease (PD) is a common neurological disorder, with bradykinesia being one of
its cardinal features. Objective quantification of bradykinesia using computer vision has the …
its cardinal features. Objective quantification of bradykinesia using computer vision has the …
MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection
T Chen, R Hong, Y Guo, S Hao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Major depressive disorder (MDD) is one of the most common and severe mental illnesses,
posing a huge burden on society and families. Recently, some multimodal methods have …
posing a huge burden on society and families. Recently, some multimodal methods have …
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 …
Estimating parkinsonism severity in natural gait videos of older adults with dementia
Drug-induced parkinsonism affects many older adults with dementia, often causing gait
disturbances. New advances in vision-based human pose-estimation have opened …
disturbances. New advances in vision-based human pose-estimation have opened …
Accuracy of temporo-spatial and lower limb joint kinematics parameters using OpenPose for various gait patterns with orthosis
M Yamamoto, K Shimatani… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
A cost-effective gait analysis system without attachments and specialized large
environments can provide useful information to determine effective treatment in clinical sites …
environments can provide useful information to determine effective treatment in clinical sites …
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 …
Verification of gait analysis method fusing camera-based pose estimation and an IMU sensor in various gait conditions
M Yamamoto, K Shimatani, Y Ishige, H Takemura - Scientific reports, 2022 - nature.com
A markerless gait analysis system can measure useful gait metrics to determine effective
clinical treatment. Although this gait analysis system does not require a large space, several …
clinical treatment. Although this gait analysis system does not require a large space, several …
Automatic labeling of Parkinson's Disease gait videos with weak supervision
Motor dysfunction in Parkinson's Disease (PD) patients is typically assessed by clinicians
employing the Movement Disorder Society's Unified Parkinson's Disease Rating Scale …
employing the Movement Disorder Society's Unified Parkinson's Disease Rating Scale …