Cargando…
Biometric handwriting analysis to support Parkinson’s Disease assessment and grading
BACKGROUND: Handwriting represents one of the major symptom in Parkinson’s Disease (PD) patients. The computer-aided analysis of the handwriting allows for the identification of promising patterns that might be useful in PD detection and rating. In this study, we propose an innovative set of feature...
Autores principales: | Cascarano, Giacomo Donato, Loconsole, Claudio, Brunetti, Antonio, Lattarulo, Antonio, Buongiorno, Domenico, Losavio, Giacomo, Sciascio, Eugenio Di, Bevilacqua, Vitoantonio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907099/ https://www.ncbi.nlm.nih.gov/pubmed/31830966 http://dx.doi.org/10.1186/s12911-019-0989-3 |
Ejemplares similares
-
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease
por: Buongiorno, Domenico, et al.
Publicado: (2019) -
A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images
por: Bevilacqua, Vitoantonio, et al.
Publicado: (2019) -
A neural network for glomerulus classification based on histological images of kidney biopsy
por: Cascarano, Giacomo Donato, et al.
Publicado: (2021) -
Identification of glomerulosclerosis using IBM Watson and shallow neural networks
por: Pesce, Francesco, et al.
Publicado: (2022) -
A Linear Approach to Optimize an EMG-Driven Neuromusculoskeletal Model for Movement Intention Detection in Myo-Control: A Case Study on Shoulder and Elbow Joints
por: Buongiorno, Domenico, et al.
Publicado: (2018)