Dynamic handwriting analysis for the assessment of neurodegenerative diseases: a pattern recognition perspective

D Impedovo, G Pirlo - IEEE reviews in biomedical engineering, 2018 - ieeexplore.ieee.org
Neurodegenerative diseases, for instance Alzheimer's disease (AD) and Parkinson's
disease (PD), affect the peripheral nervous system, where nerve cells send messages that …

Handwriting analysis to support neurodegenerative diseases diagnosis: A review

C De Stefano, F Fontanella, D Impedovo, G Pirlo… - Pattern Recognition …, 2019 - Elsevier
Neurodegenerative diseases (NDs) affect millions of people worldwide, with Alzheimer's
and Parkinson's being the most common ones, and it is expected that their incidence will …

Handwriting biometrics: Applications and future trends in e-security and e-health

M Faundez-Zanuy, J Fierrez, MA Ferrer, M Diaz… - Cognitive …, 2020 - Springer
Online handwritten analysis presents many applications in e-security, signature biometrics
being the most popular but not the only one. Handwriting analysis also has an important set …

Diagnostic performance of digital cognitive tests for the identification of MCI and dementia: A systematic review

JYC Chan, STY Yau, TCY Kwok, KKF Tsoi - Ageing Research Reviews, 2021 - Elsevier
Background The use of digital cognitive tests is getting common nowadays. Older adults or
their family members may use online tests for self-screening of dementia. However, the …

Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking

ND Cilia, G De Gregorio, C De Stefano… - … Applications of Artificial …, 2022 - Elsevier
Neurodegenerative diseases are caused by the progressive degeneration of nerve cells that
affect motor skills and cognitive abilities with increasing severity. Unfortunately, there is no …

Digital cognitive biomarker for mild cognitive impairments and dementia: a systematic review

Z Ding, TL Lee, AS Chan - Journal of clinical medicine, 2022 - mdpi.com
The dementia population is increasing as the world's population is growing older. The
current systematic review aims to identify digital cognitive biomarkers from computerized …

Dynamic handwriting analysis for neurodegenerative disease assessment: a literary review

G Vessio - Applied Sciences, 2019 - mdpi.com
Studying the effects of neurodegeneration on handwriting has emerged as an
interdisciplinary research topic and has attracted considerable interest from psychologists to …

Classification of mild cognitive impairment based on handwriting dynamics and qEEG

J Chai, R Wu, A Li, C Xue, Y Qiang, J Zhao… - Computers in biology …, 2023 - Elsevier
Subtle changes in fine motor control and quantitative electroencephalography (qEEG) in
patients with mild cognitive impairment (MCI) are important in screening for early dementia …

Multiple classifiers in biometrics. Part 2: Trends and challenges

J Fierrez, A Morales, R Vera-Rodriguez, D Camacho - Information Fusion, 2018 - Elsevier
The present paper is Part 2 in this series of two papers. In Part 1 we provided an introduction
to Multiple Classifier Systems (MCS) with a focus into the fundamentals: basic nomenclature …

[PDF][PDF] A hybrid two-stage SqueezeNet and support vector machine system for Parkinson's disease detection based on handwritten spiral patterns

LS Bernardo, R Damaševičius… - … Journal of Applied …, 2021 - intapi.sciendo.com
Parkinson's disease (PD) is the second most common neurological disorder in the world.
Nowadays, it is estimated that it affects from 2% to 3% of the global population over 65 years …