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Handwriting is significantly affected by neurological disorders (ND) such as Parkinson's disease (PD) and Alzheimer's disease (AD). Prior works have analyzed handwriting tasks using feature-based approaches or computer-vision techniques,…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Gabrielle Chavez , Laureano Moro-Velazquez , Ankur Butala , Najim Dehak , Thomas Thebaud

Alzheimer's Disease (AD) is a prevalent neurodegenerative condition where early detection is vital. Handwriting, often affected early in AD, offers a non-invasive and cost-effective way to capture subtle motor changes. State-of-the-art…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Changqing Gong , Huafeng Qin , Mounîm A. El-Yacoubi

In this study, we explored the use of spectrograms to represent handwriting signals for assessing neurodegenerative diseases, including 42 healthy controls (CTL), 35 subjects with Parkinson's Disease (PD), 21 with Alzheimer's Disease (AD),…

Machine Learning · Computer Science 2025-02-12 Sarah Laouedj , Yuzhe Wang , Jesus Villalba , Thomas Thebaud , Laureano Moro-Velazquez , Najim Dehak

In this paper we evaluate the suitability of handwriting patterns as potential biomarkers to model Parkinson disease (PD). Although the study of PD is attracting the interest of many researchers around the world, databases to evaluate…

Computer Vision and Pattern Recognition · Computer Science 2019-03-21 R. Castrillon , A. Acien , J. R. Orozco-Arroyave , A. Morales , J. F. Vargas , R. Vera-Rodrıguez , J. Fierrez , J. Ortega-Garcia , A. Villegas

Parkinson's disease (PD) is debilitating, progressive, and clinically marked by motor symptoms. As the second most common neurodegenerative disease in the world, it affects over 10 million lives globally. Existing diagnoses methods have…

Machine Learning · Computer Science 2021-11-30 Riya Tyagi , Tanish Tyagi , Ming Wang , Lujin Zhang

Background and objectives: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease.…

Machine Learning · Computer Science 2020-02-14 C. D. Rios-Urrego , J. C. Vásquez-Correa , J. F. Vargas-Bonilla , E. Nöth , F. Lopera , J. R. Orozco-Arroyave

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

Parkinson's disease (PD) is a common neurodegenerative disorder with a prevalence rate estimated to 2.0% for people aged over 65 years. Cardinal motor symptoms of PD such as rigidity and bradykinesia affect the muscles involved in the…

Systems and Control · Electrical Eng. & Systems 2023-01-23 Jan Mucha , Zoltan Galaz , Jiri Mekyska , Marcos Faundez-Zanuy , Vojtech Zvoncak , Zdenek Smekal , Lubos Brabenec , Irena Rektorova

The average life expectancy is increasing globally due to advancements in medical technology, preventive health care, and a growing emphasis on gerontological health. Therefore, developing technologies that detect and track aging-associated…

Computational Engineering, Finance, and Science · Computer Science 2022-09-14 Saurav K. Aryal , Howard Prioleau , Legand Burge

Parkinson's disease (PD) is a progressive neurological disorder that impairs movement control, leading to symptoms such as tremors, stiffness, and bradykinesia. Many researchers analyzing handwriting data for PD detection typically rely on…

Signal Processing · Electrical Eng. & Systems 2024-12-25 Jungpil Shin , Abu Saleh Musa Miah , Koki Hirooka , Md. Al Mehedi Hasan , Md. Maniruzzaman

We propose an interpretable 3D Grid-Attention deep neural network that can accurately predict a person's age and whether they have Alzheimer's disease (AD) from a structural brain MRI scan. Building on a 3D convolutional neural network, we…

Tissues and Organs · Quantitative Biology 2020-11-19 Pradeep Lam , Alyssa H. Zhu , Iyad Ba Gari , Neda Jahanshad , Paul M. Thompson

Alzheimer's disease (AD) is the main cause of dementia which is accompanied by loss of memory and may lead to severe consequences in peoples' everyday life if not diagnosed on time. Very few works have exploited transformer-based networks…

Computation and Language · Computer Science 2022-08-15 Loukas Ilias , Dimitris Askounis

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 slowly progressing neurodegenerative disease with early manifestation of motor signs. Objective measurements of motor signs are of vital importance for diagnosing, monitoring and developing disease modifying…

Neuropsychiatric symptoms (NPS) such as depression and apathy are common in Alzheimer's disease (AD) and often precede cognitive decline. NPS assessments hold promise as early detection markers due to their correlation with disease…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Synne Hjertager Osenbroch , Lisa Ramona Rosvold , Yao Lu , Alvaro Fernandez-Quilez

Alzheimer's disease is one of the most incisive illnesses among the neurodegenerative ones, and it causes a progressive decline in cognitive abilities that, in the worst cases, becomes severe enough to interfere with daily life. Currently,…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Tiziana D'Alessandro , Cristina Carmona-Duarte , Claudio De Stefano , Moises Diaz , Miguel A. Ferrer , Francesco Fontanella

Alzheimer's Disease (AD) is a progressive neurodegenerative disease. Amnestic mild cognitive impairment (MCI) is a common first symptom before the conversion to clinical impairment where the individual becomes unable to perform activities…

Computer Vision and Pattern Recognition · Computer Science 2017-10-16 Donghuan Lu , Karteek Popuri , Weiguang Ding , Rakesh Balachandar , Mirza Faisal Beg

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder, primarily affecting the elderly population and leading to significant cognitive decline. This decline manifests in various mental faculties such as attention,…

Machine Learning · Computer Science 2025-04-22 Emine Akpinar

Alzheimer's disease is a prevalent neurodegenerative disorder for which early detection is critical. Handwriting-often disrupted in prodromal AD-provides a non-invasive and cost-effective window into subtle motor and cognitive decline.…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Changqing Gong , Huafeng Qin , Mounim A. El-Yacoubi

\textbf{Objective:} Alzheimer's disease (AD) is the most prevalent form of dementia worldwide, encompassing a prodromal stage known as Mild Cognitive Impairment (MCI), where patients may either progress to AD or remain stable. The objective…

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