A literature review of online handwriting analysis to detect Parkinson's disease at an early stage
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 …
brain areas' structure and functions. Therefore, it causes a progressive decline of cognitive …
A survey of visual and procedural handwriting analysis for neuropsychological assessment
Abstract To date, Artificial Intelligence systems for handwriting and drawing analysis have
primarily targeted domains such as writer identification and sketch recognition. Conversely …
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
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 …
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 …
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
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 …
(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 …
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 …
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 …
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 …
dysfunction. The development of tablet technology opens up opportunities for an effective …
Explainable Metrics for the Assessment of Neurodegenerative Diseases through Handwriting Analysis
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 …
disease (PD) and Alzheimer's disease (AD), but are often difficult to detect, especially in the …