Internet of things technologies and machine learning methods for Parkinson's disease diagnosis, monitoring and management: a systematic review
Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …
the population, especially the elderly. It manifests with motor, cognitive and other types of …
Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review
Gait is the locomotion attained through the movement of limbs and gait analysis examines
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
Not all tokens are equal: Human-centric visual analysis via token clustering transformer
Vision transformers have achieved great successes in many computer vision tasks. Most
methods generate vision tokens by splitting an image into a regular and fixed grid and …
methods generate vision tokens by splitting an image into a regular and fixed grid and …
Parkinson disease detection using energy direction features based on EMD from voice signal
T Zhang, Y Zhang, H Sun, H Shan - Biocybernetics and Biomedical …, 2021 - Elsevier
Voice disorders are one of the incipient symptoms of Parkinson's disease (PD). Recent
studies have shown that approximately 90% of PD patients suffer from vocal disorders …
studies have shown that approximately 90% of PD patients suffer from vocal disorders …
Sign language translation with hierarchical spatio-temporal graph neural network
Sign language translation (SLT), which generates text in a spoken language from visual
content in a sign language, is important to assist the hard-of-hearing community for their …
content in a sign language, is important to assist the hard-of-hearing community for their …
The new freezing of gait questionnaire: unsuitable as an outcome in clinical trials?
Background Freezing of gait (FOG) is a common gait deficit in Parkinson's disease. The New
Freezing of Gait Questionnaire (NFOG‐Q) is a widely used and valid tool to quantify freezing …
Freezing of Gait Questionnaire (NFOG‐Q) is a widely used and valid tool to quantify freezing …
[HTML][HTML] WiFOG: Integrating deep learning and hybrid feature selection for accurate freezing of gait detection
This study investigates the feasibility of utilizing non-invasive WiFi sensing using the 4.8
GHz operating frequency band of the 5 G spectrum, which is suitable for Internet of Things …
GHz operating frequency band of the 5 G spectrum, which is suitable for Internet of Things …
The role of neural network for the detection of Parkinson's disease: a sco** review
Background: Parkinson's Disease (PD) is a chronic neurodegenerative disorder that has
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
Multi-modal deep learning diagnosis of parkinson's disease—A systematic review
Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …
that employ artificial intelligence and notably deep learning, have been extensively …
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 …