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Related papers: Parkinson's Disease Diagnosis Using Deep Learning

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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

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

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

The paper presents a novel approach, based on deep learning, for diagnosis of Parkinson's disease through medical imaging. The approach includes analysis and use of the knowledge extracted by Deep Convolutional and Recurrent Neural Networks…

Machine Learning · Computer Science 2019-11-26 James Wingate , Ilianna Kollia , Luc Bidaut , Stefanos Kollias

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

Parkinson's Disease (PD) is a progressive neurodegenerative disorder that significantly impacts both motor and non-motor functions, including speech. Early and accurate recognition of PD through speech analysis can greatly enhance patient…

Numerical Analysis · Mathematics 2024-07-24 Niloofar Fadavi , Nazanin Fadavi

This paper presents a new method for medical diagnosis of neurodegenerative diseases, such as Parkinson's, by extracting and using latent information from trained Deep convolutional, or convolutional-recurrent Neural Networks (DNNs). In…

Machine Learning · Computer Science 2019-01-24 Ilianna Kollia , Andreas-Georgios Stafylopatis , Stefanos Kollias

Parkinson's disease is easy to diagnose when it is advanced, but it is very difficult to diagnose in its early stages. Early diagnosis is essential to be able to treat the symptoms. It impacts on daily activities and reduces the quality of…

Parkinsons Disease (PD) is a neurodegenerative disorder resulting in motor deficits due to advancing degeneration of dopaminergic neurons. PD patients report experiencing tremor, rigidity, visual impairment, bradykinesia, and several…

Computer Vision and Pattern Recognition · Computer Science 2023-04-05 Krish Desai

Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and assessment of clinical signs, including the characterization of a variety of motor symptoms. However, traditional diagnostic approaches may suffer from…

Machine Learning · Computer Science 2020-10-14 Jie Mei , Christian Desrosiers , Johannes Frasnelli

Parkinson's disease is a neurodegenerative disease that can affect a person's movement, speech, dexterity, and cognition. Clinicians primarily diagnose Parkinson's disease by performing a clinical assessment of symptoms. However,…

Neurons and Cognition · Quantitative Biology 2018-11-16 Patrick Schwab , Walter Karlen

Parkinson's disease (PD) is a progressive neurodegenerative condition characterized by the death of dopaminergic neurons, leading to various movement disorder symptoms. Early diagnosis of PD is crucial to prevent adverse effects, yet…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Nabil Daiyan , Md Rakibul Haque

Parkinson's disease (PD) is one of the major public health problems in the world. It is a well-known fact that around one million people suffer from Parkinson's disease in the United States whereas the number of people suffering from…

Machine Learning · Computer Science 2016-10-27 Kamal Nayan Reddy Challa , Venkata Sasank Pagolu , Ganapati Panda , Babita Majhi

Parkinson's disease (PD), the second most common neurodegenerative disorder, is characterized by dopaminergic neuron loss and the accumulation of abnormal synuclein. PD presents both motor and non-motor symptoms that progressively impair…

Machine Learning · Computer Science 2025-04-07 Masahiro Matsumoto , Abu Saleh Musa Miah , Nobuyoshi Asai , Jungpil Shin

One of the most catastrophic neurological disorders worldwide is Parkinson's Disease. Along with it, the treatment is complicated and abundantly expensive. The only effective action to control the progression is diagnosing it in the early…

Machine Learning · Computer Science 2023-10-23 Md. Taufiqul Haque Khan Tusar , Md. Touhidul Islam , Abul Hasnat Sakil

Parkinson's disease (PD) is a prevalent neurodegenerative disorder known for its impact on motor neurons, causing symptoms like tremors, stiffness, and gait difficulties. This study explores the potential of vocal feature alterations in PD…

Parkinson's Disease (PD) is a progressive nervous system disorder that has affected more than 5.8 million people, especially the elderly. Due to the complexity of its symptoms and its similarity to other neurological disorders, early…

Artificial Intelligence · Computer Science 2022-11-29 Jingwei Li , Ruitian Wu , Tzu-liang Huang , Zian Pan , Ming-chun Huang

Parkinson's disease (PD) is a debilitating neurodegenerative disease that has severe impacts on an individual's quality of life. Compared with structural and functional MRI-based biomarkers for the disease, electroencephalography (EEG) can…

Machine Learning · Computer Science 2024-08-05 Christopher Neves , Yong Zeng , Yiming Xiao

Parkinson's disease is the world's fastest-growing neurological disorder. Research to elucidate the mechanisms of Parkinson's disease and automate diagnostics would greatly improve the treatment of patients with Parkinson's disease. Current…

Machine Learning · Computer Science 2024-02-20 Charlie Tran , Kai Shen , Kang Liu , Akshay Ashok , Adolfo Ramirez-Zamora , Jinghua Chen , Yulin Li , Ruogu Fang

This paper represents a groundbreaking advancement in Parkinson disease (PD) research by employing a novel machine learning framework to categorize PD into distinct subtypes and predict its progression. Utilizing a comprehensive dataset…

Machine Learning · Computer Science 2024-06-12 Ashwin Ram
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