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Parkinson's disease (PD) is a neurological disorder requiring early and accurate diagnosis for effective management. Machine learning (ML) has emerged as a powerful tool to enhance PD classification and diagnostic accuracy, particularly by…

Parkinson's disease (PD) is a progressive neurodegenerative disorder that results in a variety of motor dysfunction symptoms, including tremors, bradykinesia, rigidity and postural instability. The diagnosis of PD mainly relies on clinical…

Computer Vision and Pattern Recognition · Computer Science 2022-07-15 Haozheng Zhang , Edmond S. L. Ho , Xiatian Zhang , Hubert P. H. Shum

Purpose:Current methods for diagnosis of PD rely on clinical examination. The accuracy of diagnosis ranges between 73% and 84%, and is influenced by the experience of the clinical assessor. Hence, an automatic, effective and interpretable…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Haozheng Zhang , Edmond S. L. Ho , Xiatian Zhang , Silvia Del Din , Hubert P. H. Shum

Tremor is a key diagnostic feature of Parkinson's Disease (PD), Essential Tremor (ET), and other central nervous system (CNS) disorders. Clinicians or trained raters assess tremor severity with TETRAS scores by observing patients. Lacking…

Computer Vision and Pattern Recognition · Computer Science 2021-05-05 Li Zhang , Vijay Yadav , Vidya Koesmahargyo , Anzar Abbas , Isaac Galatzer-Levy

Parkinson's disease (PD) is a progressive neurological disorder primarily affecting motor function resulting in tremor at rest, rigidity, bradykinesia, and postural instability. The physical severity of PD impairments can be quantified…

Computer Vision and Pattern Recognition · Computer Science 2020-07-20 Mandy Lu , Kathleen Poston , Adolf Pfefferbaum , Edith V. Sullivan , Li Fei-Fei , Kilian M. Pohl , Juan Carlos Niebles , Ehsan Adeli

Evaluating neurological disorders such as Parkinson's disease (PD) is a challenging task that requires the assessment of several motor and non-motor functions. In this paper, we present an end-to-end deep learning framework to measure PD…

Computer Vision and Pattern Recognition · Computer Science 2020-12-25 Amirhossein Dadashzadeh , Alan Whone , Michal Rolinski , Majid Mirmehdi

Parkinson's Disease (PD) is a slowly evolving neuro-logical disease that affects about 1% of the population above 60 years old, causing symptoms that are subtle at first, but whose intensity increases as the disease progresses. Automated…

One major challenge in the medication of Parkinson's disease is that the severity of the disease, reflected in the patients' motor state, cannot be measured using accessible biomarkers. Therefore, we develop and examine a variety of…

Machine Learning · Computer Science 2019-04-26 Jann Goschenhofer , Franz MJ Pfister , Kamer Ali Yuksel , Bernd Bischl , Urban Fietzek , Janek Thomas

In the world, about 7 to 10 million elderly people are suffering from Parkinson's Disease (PD) disease. Parkinson's disease is a common neurological degenerative disease, and its clinical characteristics are Tremors, rigidity, bradykinesia,…

Computer Vision and Pattern Recognition · Computer Science 2020-08-07 Elcin Huseyn

Parkinsons disease, PD, is a chronic condition that affects motor skills and includes symptoms like tremors and rigidity. The current diagnostic procedure uses patient assessments to evaluate symptoms and sometimes a magnetic resonance…

Image and Video Processing · Electrical Eng. & Systems 2022-01-14 Sabrina Zhu

Objective: To apply deep learning pose estimation algorithms for vision-based assessment of parkinsonism and levodopa-induced dyskinesia (LID). Methods: Nine participants with Parkinson's disease (PD) and LID completed a levodopa infusion…

Computer Vision and Pattern Recognition · Computer Science 2018-11-12 Michael H. Li , Tiago A. Mestre , Susan H. Fox , Babak Taati

Parkinson's Disease (PD) is a chronic, degenerative disorder which leads to a range of motor and cognitive symptoms. PD diagnosis is a challenging task since its symptoms are very similar to other diseases such as normal ageing and…

Machine Learning · Computer Science 2021-01-15 Mohamad Alissa

Parkinson's disease (PD) is a neurodegenerative disorder, manifesting with motor and non-motor symptoms. Depressive symptoms are prevalent in PD, affecting up to 45% of patients. They are often underdiagnosed due to overlapping motor…

This paper presents a novel deep learning enabled, video based analysis framework for assessing the Unified Parkinsons Disease Rating Scale (UPDRS) that can be used in the clinic or at home. We report results from comparing the performance…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Deval Mehta , Umar Asif , Tian Hao , Erhan Bilal , Stefan Von Cavallar , Stefan Harrer , Jeffrey Rogers

The assessment of Parkinson's disease (PD) poses a significant challenge as it is influenced by various factors which lead to a complex and fluctuating symptom manifestation. Thus, a frequent and objective PD assessment is highly valuable…

Parkinson's Disease (PD) is associated with gait movement disorders, such as bradykinesia, stiffness, tremors and postural instability, caused by progressive dopamine deficiency. Today, some approaches have implemented learning…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Edgar Rangel , Fabio Martinez

Parkinsons Disease (PD) is a progressive neurological disorder that primarily affects motor functions and can lead to mild cognitive impairment (MCI) and dementia in its advanced stages. With approximately 10 million people diagnosed…

Image and Video Processing · Electrical Eng. & Systems 2025-05-02 Abu Saleh Musa Miah , taro Suzuki , Jungpil Shin

People with Parkinson's Disease (PD) often experience progressively worsening gait, including changes in how they turn around, as the disease progresses. Existing clinical rating tools are not capable of capturing hour-by-hour variations of…

Computer Vision and Pattern Recognition · Computer Science 2025-09-24 Qiushuo Cheng , Catherine Morgan , Arindam Sikdar , Alessandro Masullo , Alan Whone , Majid Mirmehdi

Diagnosing Parkinson's disease is a complex task that requires the evaluation of several motor and non-motor symptoms. During diagnosis, gait abnormalities are among the important symptoms that physicians should consider. However, gait…

Machine Learning · Computer Science 2020-05-19 Imanne El Maachi , Guillaume-Alexandre Bilodeau , Wassim Bouachir

Parkinson's disease is a neurological condition that occurs in nearly 1% of the world's population. The disease is manifested by a drop in dopamine production, symptoms are cognitive and behavioural and include a wide range of personality…

Image and Video Processing · Electrical Eng. & Systems 2024-01-08 Maria Frasca , Davide La Torre , Gabriella Pravettoni , Ilaria Cutica
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