Results 71 to 80 of about 14,024 (303)
Analysis of handwriting movements
Acta Psychologica, 1983 Abstract In the early sixties a theory for the generation of the fast handwriting movements was proposed by Denier van der Gon. This theory asserts that the physiological mechanism involved can be described by a pair of independent open-loop systems of low order, both excited by bang-bang type signals. These input signals represent the neural signals
openaire +1 more source
, 2010 This paper proposes the use of content base image retrieval (CBIR) techniques for indexing and retrieval of handwritten documents in Thai language. Issues associated with Thai handwritten documents are the lack of spacing between words, multi-level ...
Fung, C.C. +3 more
core +1 more source
HWR-PDNet: A Transfer Learning CNN for Parkinson's Detection from Handwriting Images
Jordanian Journal of Computers and Information TechnologyParkinson's Disease (PD) is a progressive, chronic neurological disorder that is distinguished by abnormalities in the motor system. The condition can be detected in the early stage by the irregular handwriting of the individual.
Mathu T +3 more
doaj +1 more source
Using a handwriting app leads to improvement in manual dexterity in kindergarten children
Research in Learning Technology, 2019 This study aimed to determine the effectiveness of using electronic handwriting applications (apps) in addition to a traditional method of teaching handwriting on kindergarten children’s manual dexterity (MD) and handwriting skills. Testing was done with
Christi Butler +4 more
doaj +1 more source
Transcripts enriched in codons that trigger P‐site tRNA‐mediated mRNA decay possess stable mRNA
FEBS Open Bio, EarlyView.PTMD codons were first described by Mendel et al. as mediators of an mRNA decay pathway dependent on the human protein CNOT3, homologous to yeast Not5. Our findings confirm that PTMD codons destabilize transcripts; however, unlike in yeast, the human pathway specifically targets and slightly destabilizes primarily stable mRNAs.
Rodolfo Lopes Carneiro +1 more
wiley +1 more source
Hybrid models for handwriting-based diagnosis of Parkinson's disease
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ŚrodowiskaParkinson's disease (PD) is a progressive neurodegenerative disorder that primarily impairs motor functions, leading to symptoms such as tremors and micrographia.
Asma Ouabd +3 more
doaj +1 more source
Behavioral Sciences, 2020 In contrast to traditional researches that involve a manual, non-quantitative, and subjective way of performing handwriting analysis, in the current research, a special computer-aided method of revised handwriting analysis is used.
Yury Chernov, Claudia Caspers
doaj +1 more source
Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz +3 more
wiley +1 more source
LiquidGAN for Handwriting-Based Detection and Severity Classification of Extrapyramidal Symptoms
SensorsExtrapyramidal symptoms (EPS) are motor side effects commonly induced by antipsychotic medications and can lead to measurable changes in handwriting patterns.
Erandhi M. Liyanage +8 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source