English
Related papers

Related papers: Parkinson's Disease Detection through Vocal Biomar…

200 papers

Parkinsons disease is the second most prevalent neurodegenerative disorder with over ten million active cases worldwide and one million new diagnoses per year. Detecting and subsequently diagnosing the disease is challenging because of…

Computation and Language · Computer Science 2024-04-09 Jonathan Crawford

Parkinson's disease (PD), a neurodegenerative disorder, often manifests as speech and voice dysfunction. While utilizing voice data for PD detection has great potential in clinical applications, the widely used deep learning models…

Machine Learning · Computer Science 2023-09-26 Yicheng Wang , Xiaotian Han , Leisheng Yu , Na Zou

The stage and severity of Parkinson's disease (PD) is an important factor to consider for taking effective therapeutic decisions. Although the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) provides an…

Applications · Statistics 2018-05-30 R. Prashanth , Sumantra Dutta Roy

Parkinson's disease (PD) is a chronic and complex neurodegenerative disorder influenced by genetic, clinical, and lifestyle factors. Predicting this disease early is challenging because it depends on traditional diagnostic methods that face…

Machine Learning · Computer Science 2026-04-21 Md Mezbahul Islam , John Michael Templeton , Masrur Sobhan , Christian Poellabauer , Ananda Mohan Mondal

Parkinson's Disease PD is a progressive neurodegenerative disorder that affects motor and cognitive functions with early diagnosis being critical for effective clinical intervention Electroencephalography EEG offers a noninvasive and…

Many articles have used voice analysis to detect Parkinson's disease (PD), but few have focused on the early stages of the disease and the gender effect. In this article, we have adapted the latest speaker recognition system, called…

Parkinson's disease (PD) is projected to increase substantially due to population aging, making early diagnosis increasingly important, as timely detection may delay progression and reduce long-term complications. Retinal microvasculature…

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

Parkinson's disease (PD) is a chronic neurodegenerative disease. It shows multiple motor symptoms such as tremor, bradykinesia, postural instability, freezing of gait (FoG). PD is currently diagnosed clinically through physical exam by…

Machine Learning · Computer Science 2026-04-21 Meheru Zannat

Parkinson's disease (PD) is a slowly progressing neurodegenerative disease with early manifestation of motor signs. Recently, there has been a growing interest in developing automatic tools that can assess motor function in PD patients.…

Information Retrieval · Computer Science 2018-05-04 Liron Allerhand , Brit Youngmann , Elad Yom-Tov , David Arkadir

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 (PD) is the second most frequent neurodegenerative disease with prevalence among general population reaching 0.1-1 %, and an annual incidence between 1.3-2.0/10000 inhabitants. The mean age at diagnosis of PD is 55 and…

Parkinson's disease (PD) is a common neurodegenerative disorder with a poorly understood physiopathology and no established biomarkers for the diagnosis of early stages and for prediction of disease progression. Several neuroimaging…

Speech impairments are prevalent biomarkers for Parkinson's Disease (PD), motivating the development of diagnostic techniques using speech data for clinical applications. Although deep acoustic features have shown promise for PD…

Audio and Speech Processing · Electrical Eng. & Systems 2025-09-01 Emmy Postma , Cristian Tejedor-Garcia

Resting-state EEG (rs-EEG) has been demonstrated to aid in Parkinson's disease (PD) diagnosis. In particular, the power spectral density (PSD) of low-frequency bands ({\delta} and {\theta}) and high-frequency bands ({\alpha} and \b{eta})…

Signal Processing · Electrical Eng. & Systems 2023-03-03 Anna Kurbatskaya , Alberto Jaramillo-Jimenez , John Fredy Ochoa-Gomez , Kolbjørn Brønnick , Alvaro Fernandez-Quilez

Background: Parkinson's disease remains a major neurodegenerative disorder with high misdiagnosis rates, primarily due to reliance on clinical rating scales. Recent studies have demonstrated a strong association between gut microbiota and…

Artificial Intelligence · Computer Science 2025-09-10 Bo Yu , Zhixiu Hua , Bo Zhao

This paper reviews related work and state-of-the-art publications for recognizing motor symptoms of Parkinson's Disease (PD). It presents research efforts that were undertaken to inform on how well traditional machine learning algorithms…

Artificial Intelligence · Computer Science 2013-12-16 Claas Ahlrichs , Michael Lawo

Parkinson's disease (PD) is a neurodegenerative disease affecting about 1% of people over the age of 60, causing motor impairments that impede hand coordination activities such as writing and drawing. Many approaches have tried to support…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Mhd Adnan Albani , Riad Sonbol

Accurate early diagnosis and monitoring of neurodegenerative conditions is essential for effective disease management and delivery of medication and treatment. This research develops automatic methods for detecting brain imaging preclinical…

Neural and Evolutionary Computing · Computer Science 2019-10-15 Amir Dehsarvi , Stephen L. Smith

Parkinson's Disease (PD) is one of the most common types of neurological diseases caused by progressive degeneration of dopamin- ergic neurons in the brain. Even though there is no fixed cure for this neurodegenerative disease, earlier…

Computer Vision and Pattern Recognition · Computer Science 2018-06-21 Sara Soltaninejad , Irene Cheng , Anup Basu