Machine Learning, Physiological Signals, and Emotional Stress/Anxiety: Pitfalls and Challenges

dc.contributor.author	Liu, Yu
dc.contributor.author	Itati-Palacio, María
dc.contributor.author	Bikki, Taha
dc.contributor.author	Toledo, César
dc.contributor.author	Ouyang, Yu
dc.contributor.author	Li, Zhongzheng
dc.contributor.author	Wang, Zhengyi
dc.contributor.author	Toledo, Francisco
dc.contributor.author	Zeng, Hong
dc.contributor.author	Herrero, María-Trinidad
dc.date.accessioned	2026-03-09T08:36:44Z
dc.date.available	2026-03-09T08:36:44Z
dc.date.issued	2025-11-05
dc.identifier.citation	Liu Y, Palacio MI, Bikki T, Toledo C, Ouyang Y, Li Z, et al. Machine Learning, Physiological Signals, and Emotional Stress/Anxiety: Pitfalls and Challenges. Applied Sciences. 5 de noviembre de 2025;15(21):11777. doi:10.3390/app152111777
dc.identifier.uri	https://sms.carm.es/ricsmur/handle/123456789/24995
dc.language.iso	eng
dc.publisher	MDPI
dc.rights	Atribución/Reconocimiento 4.0 Internacional
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/deed.es
dc.title	Machine Learning, Physiological Signals, and Emotional Stress/Anxiety: Pitfalls and Challenges
dc.type	info:eu-repo/semantics/article
dc.relation.publisherversion	https://www.mdpi.com/2076-3417/15/21/11777
dc.type.version	info:eu-repo/semantics/publishedVersion
dc.identifier.doi	10.3390/app152111777
dc.journal.title	Applied Sciences-Basel
dc.identifier.essn	2076-3417