Parkinson Disease

Simulating Accelerometer Signals of Parkinson's Gait Using Generative Adversarial Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40040153

Wearable technologies have been demonstrated to have value in the objective assessment of Parkinson's disease. However, certain symptoms such as freezing of gait are challenging to monitor using current approaches. Data augmentation, wherein syntheti...

Accelerometry Algorithms Gait Generative Adversarial Networks Humans Machine Learning Neural Networks, Computer Parkinson Disease Signal Processing, Computer-Assisted

View on PubMed DOI

Dysarthria Detection with Deep Representation Learning for Patients with Parkinson's Disease.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40039875

Dysarthria is a very common motor speech symptom in Parkinson's disease impairing normal communications of patients. Detection of dysarthria could assist clinical diagnosis and intervention of Parkinson's disease, provide monitoring approach for trea...

Aged Deep Learning Dysarthria Female Humans Male Middle Aged Parkinson Disease

View on PubMed DOI

Video-based Clinical Gait Analysis in Parkinson's Disease: A Novel Approach Using Frontal Plane Videos and Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40039710

Gait can be significantly impaired by neurological conditions such as Parkinson's disease (PD). Gait impairments can be quantified by using instrumented gait analysis techniques, but these instrumented techniques are expensive and suffer from limited...

Aged Algorithms Female Gait Gait Analysis Humans Machine Learning Male Middle Aged Parkinson Disease Video Recording

View on PubMed DOI

Shared-task Self-supervised Learning for Estimating Free Movement Unified Parkinson's Disease Rating Scale III.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40039487

The Unified Parkinson's Disease Rating Scale (UP-DRS) is used to recognize patients with Parkinson's disease (PD) and rate its severity in clinical settings. Machine learning and wearables can reduce the need for clinical examinations and provide a r...

Aged Female Humans Male Middle Aged Movement Neural Networks, Computer Parkinson Disease Severity of Illness Index Supervised Machine Learning Wearable Electronic Devices

View on PubMed DOI

Enhancing Model Generalizability In Parkinson's Disease Automatic Assessment: A Semi-Supervised Approach Across Independent Experiments.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40039364

Machine learning in Parkinson's disease assessment uses data from clinically-coded movements, such as finger tapping, to objectively measure motor impairment. Video-based models showed promise in several experiments, but the lack of a unified test be...

Algorithms Humans Machine Learning Parkinson Disease Supervised Machine Learning

View on PubMed DOI

VSR-Net: Vessel-Like Structure Rehabilitation Network With Graph Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 40031729

The morphologies of vessel-like structures, such as blood vessels and nerve fibres, play significant roles in disease diagnosis, e.g., Parkinson's disease. Although deep network-based refinement segmentation and topology-preserving segmentation metho...

Algorithms Blood Vessels Brain Cluster Analysis Databases, Factual Humans Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Neural Networks, Computer Parkinson Disease

View on PubMed DOI

Freezing of gait detection: The effect of sensor type, position, activities, datasets, and machine learning model.

Journal of Parkinson's disease 40091409

BackgroundFreezing of gait (FoG) is a complex, frequent, and disabling motor symptom of Parkinson's disease (PD). Wearable technology has the potential to improve FoG assessment by providing objective, quantitative, and continuous monitoring.Objectiv...

Accelerometry Aged Algorithms Female Gait Disorders, Neurologic Humans Machine Learning Male Middle Aged Monitoring, Ambulatory Parkinson Disease Wearable Electronic Devices

View on PubMed DOI

A Novel Fusion Framework Combining Graph Embedding Class-Based Convolutional Recurrent Attention Network with Brown Bear Optimization Algorithm for EEG-Based Parkinson's Disease Recognition.

Journal of molecular neuroscience : MN 40088329

Parkinson's disease recognition (PDR) involves identifying Parkinson's disease using clinical evaluations, imaging studies, and biomarkers, focusing on early symptoms like tremors, rigidity, and bradykinesia to facilitate timely treatment. However, d...

Convolutional Neural Networks Datasets as Topic Electroencephalography Humans Machine Learning Algorithms Parkinson Disease

View on PubMed DOI

Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks.

Scientific reports 40075106

Parkinson's disease is a neurodegenerative disorder that is associated with aging, leading to the progressive deterioration of certain regions of the brain. Accurate and timely diagnosis plays a crucial role in facilitating optimal therapy and improv...

Aged Autoencoder Deep Learning Female Humans Male Middle Aged Neural Networks, Computer Parkinson Disease

View on PubMed DOI

Deep learning models for improving Parkinson's disease management regarding disease stage, motor disability and quality of life.

Computers in biology and medicine 40037167

BACKGROUND AND OBJECTIVE: Motor diagnosis, monitoring and management of Parkinson's disease (PD) focuses mainly on observational methods and, clinical scales, resulting in a subjective evaluation. Inertial sensors combined with artificial intelligenc...

Aged Deep Learning Female Humans Male Middle Aged Neural Networks, Computer Parkinson Disease Quality of Life

View on PubMed DOI

AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Simulating Accelerometer Signals of Parkinson's Gait Using Generative Adversarial Networks.

Dysarthria Detection with Deep Representation Learning for Patients with Parkinson's Disease.

Video-based Clinical Gait Analysis in Parkinson's Disease: A Novel Approach Using Frontal Plane Videos and Machine Learning.

Shared-task Self-supervised Learning for Estimating Free Movement Unified Parkinson's Disease Rating Scale III.

Enhancing Model Generalizability In Parkinson's Disease Automatic Assessment: A Semi-Supervised Approach Across Independent Experiments.

VSR-Net: Vessel-Like Structure Rehabilitation Network With Graph Clustering.

Freezing of gait detection: The effect of sensor type, position, activities, datasets, and machine learning model.

A Novel Fusion Framework Combining Graph Embedding Class-Based Convolutional Recurrent Attention Network with Brown Bear Optimization Algorithm for EEG-Based Parkinson's Disease Recognition.

Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks.

Deep learning models for improving Parkinson's disease management regarding disease stage, motor disability and quality of life.

Popular Topics

Recent Journals