A literature review of online handwriting analysis to detect Parkinson's disease at an early stage

I Aouraghe, G Khaissidi, M Mrabti - Multimedia Tools and Applications, 2023 - Springer
Parkinson's disease (PD) affects millions of people worldwide, it dramatically affects the
brain areas' structure and functions. Therefore, it causes a progressive decline of cognitive …

A survey of visual and procedural handwriting analysis for neuropsychological assessment

M Moetesum, M Diaz, U Masroor, I Siddiqi… - Neural Computing and …, 2022 - Springer
Abstract To date, Artificial Intelligence systems for handwriting and drawing analysis have
primarily targeted domains such as writer identification and sketch recognition. Conversely …

Sequence-based dynamic handwriting analysis for Parkinson's disease detection with one-dimensional convolutions and BiGRUs

M Diaz, M Moetesum, I Siddiqi, G Vessio - Expert Systems with Applications, 2021 - Elsevier
Parkinson's disease (PD) is commonly characterized by several motor symptoms, such as
bradykinesia, akinesia, rigidity, and tremor. The analysis of patients' fine motor control …

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 …

Comparison of CNN-learned vs. handcrafted features for detection of Parkinson's disease dysgraphia in a multilingual dataset

Z Galaz, P Drotar, J Mekyska, M Gazda… - Frontiers in …, 2022 - frontiersin.org
Parkinson's disease dysgraphia (PDYS), one of the earliest signs of Parkinson's disease
(PD), has been researched as a promising biomarker of PD and as the target of a …

A feature fusion sequence learning approach for quantitative analysis of tremor symptoms based on digital handwriting

C Ma, P Zhang, L Pan, X Li, C Yin, A Li, R Zong… - Expert Systems with …, 2022 - Elsevier
Essential tremor and Parkinson's disease are common movement disorders, and early
diagnosis and evaluation are critical to managing these diseases. Currently, laboratory tests …

LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis

X Wang, J Huang, M Chatzakou, K Medijainen… - Computer Methods and …, 2024 - Elsevier
Background and objectives: Dynamic handwriting analysis, due to its noninvasive and
readily accessible nature, has emerged as a vital adjunctive method for the early diagnosis …

Current methods and new trends in signal processing and pattern recognition for the automatic assessment of motor impairments: the case of Parkinson's disease

JR Orozco-Arroyave… - … Disorders and Imaging …, 2020 - iopscience.iop.org
This chapter describes current methods and future trends in signal processing and pattern
recognition techniques applied to the automatic analysis of motor impairments observed in …

[HTML][HTML] Analysis of Handwriting for Recognition of Parkinson's Disease: Current State and New Study

K Białek, A Potulska-Chromik, J Jakubowski… - Electronics, 2024 - mdpi.com
One of the symptoms of Parkinson's disease (PD) is abnormal handwriting caused by motor
dysfunction. The development of tablet technology opens up opportunities for an effective …

Explainable Metrics for the Assessment of Neurodegenerative Diseases through Handwriting Analysis

T Thebaud, A Favaro, C Chen, G Chavez… - arXiv preprint arXiv …, 2024 - arxiv.org
Motor changes are early signs of neurodegenerative diseases (NDs) such as Parkinson's
disease (PD) and Alzheimer's disease (AD), but are often difficult to detect, especially in the …