Handwriting biometrics: Applications and future trends in e-security and e-health
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 …
being the most popular but not the only one. Handwriting analysis also has an important set …
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 …
Tremor-related feature engineering for machine learning based Parkinson's disease diagnostics
Growing research interest has arisen towards the possibility to automatically discriminate
between the patients with neurodegenerative disease and healthy controls based on the …
between the patients with neurodegenerative disease and healthy controls based on the …
Automatic diagnosis of multi-task in essential tremor: Dynamic handwriting analysis using multi-modal fusion neural network
C Ma, Y Ma, L Pan, X Li, C Yin, R Zong… - Future Generation …, 2023 - Elsevier
Essential tremor (ET) is one of the most common movement disorders, and patients with ET
have more than a fourfold increased risk of develo** Parkinson's disease (PD). Currently …
have more than a fourfold increased risk of develo** Parkinson's disease (PD). Currently …
Exploiting spectral and cepstral handwriting features on diagnosing Parkinson's disease
Parkinson's disease (PD) is the second most frequent neurodegenerative disease
associated with several motor symptoms, including alterations in handwriting, also known as …
associated with several motor symptoms, including alterations in handwriting, also known as …
Objective quantification of the severity of postural tremor based on kinematic parameters: A multi-sensory fusion study
C Ma, P Zhang, J Wang, J Zhang, L Pan, X Li… - Computer Methods and …, 2022 - Elsevier
Background Current clinical assessments of essential tremor (ET) are primarily based on
expert consultation combined with reviewing patient complaints, physician expertise, and …
expert consultation combined with reviewing patient complaints, physician expertise, and …
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 …
Patient questionnaires based Parkinson's disease classification using artificial neural network
Parkinson's disease is one of the most prevalent and harmful neurodegenerative conditions
(PD). Even today, PD diagnosis and monitoring remain pricy and inconvenient processes …
(PD). Even today, PD diagnosis and monitoring remain pricy and inconvenient processes …
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis
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 …