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

• Published in: International journal of environmental research and public health Vol. 19; no. 17; p. 10884
• Main Authors: Terriza, Miguel, Navarro, Jorge, Retuerta, Irene, Alfageme, Nuria, San-Segundo, Ruben, Kontaxakis, George, Garcia-Martin, Elena, Marijuan, Pedro, Panetsos, Fivos
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.09.2022; MDPI
• Subjects: Acoustics; Akinesia; Automatic classification; Bandwidths; Biomarkers; Decision support systems; Decision Support Systems, Clinical; Dopamine; Ethics; Feasibility Studies; Humans; Laughter; Neurological disorders; Parkinson Disease - diagnosis; Parkinson's disease; Patients; Power; Signal processing; Spectrum allocation; Speech; Speech Perception; Voice recognition; Spain; PD; Parkinson´s disease; automatic classification techniques; biomarker; clinical decision support systems; machine learning; artificial intelligence; laugh

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...