Cargando…
Use of Laughter for the Detection of Parkinson’s Disease: Feasibility Study for Clinical Decision Support Systems, Based on Speech Recognition and Automatic Classification Techniques
Parkinson’s disease (PD) is an incurable neurodegenerative disorder which affects over 10 million people worldwide. Early detection and correct evaluation of the disease is critical for appropriate medication and to slow the advance of the symptoms. In this scenario, it is critical to develop clinic...
Autores principales: | Terriza, Miguel, Navarro, Jorge, Retuerta, Irene, Alfageme, Nuria, San-Segundo, Ruben, Kontaxakis, George, Garcia-Martin, Elena, Marijuan, Pedro C., Panetsos, Fivos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518165/ https://www.ncbi.nlm.nih.gov/pubmed/36078600 http://dx.doi.org/10.3390/ijerph191710884 |
Ejemplares similares
-
Ictal laughter and crying: Should they be classified as automatisms?
por: Moise, Anna-Marieta, et al.
Publicado: (2016) -
Automatic Speech Recognition in Noise for Parkinson's Disease: A Pilot Study
por: Goudarzi, Alireza, et al.
Publicado: (2021) -
Plausibility of a Neural Network Classifier-Based Neuroprosthesis for Depression Detection via Laughter Records
por: Navarro, Jorge, et al.
Publicado: (2019) -
When laughter arrests speech: fMRI-based evidence
por: Westermann, B., et al.
Publicado: (2022) -
The neural basis of authenticity recognition in laughter and crying
por: Kosilo, Maciej, et al.
Publicado: (2021)