Smart textile technology for the monitoring of mental health

Fernandes, Shonal Anross ORCID: https://orcid.org/0009-0006-1203-5309, Ramos Serrano, Alberto, Vega Barbas, Mario ORCID: https://orcid.org/0000-0003-4506-6284, García Vázquez, Carolina ORCID: https://orcid.org/0000-0003-0830-6621, Seoane Martínez, Fernando ORCID: https://orcid.org/0000-0002-6995-967X and Pau de la Cruz, Iván ORCID: https://orcid.org/0000-0002-1183-4401 (2025). Smart textile technology for the monitoring of mental health. "Sensors", v. 25 (n. 4); p. 1148. ISSN 1424-8220. https://doi.org/10.3390/s25041148.

Descripción

Título: Smart textile technology for the monitoring of mental health
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Sensors
Fecha: 1 Enero 2025
ISSN: 1424-8220
Volumen: 25
Número: 4
Materias:
ODS:
Palabras Clave Informales: Mental health; smart textiles; monitoring; respiration rate; electroencephalogram; electrodermal activity; electrocardiogram; cortisol
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería Telemática y Electrónica
Licencias Creative Commons: Reconocimiento

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Resumen

In recent years, smart devices have proven their effectiveness in monitoring mental health issues and have played a crucial role in providing therapy. The ability to embed sensors in fabrics opens new horizons for mental healthcare, addressing the growing demand for innovative solutions in monitoring and therapy. The objective of this review is to understand mental health, its impact on the human body, and the latest advancements in the field of smart textiles (sensors, electrodes, and smart garments) for monitoring physiological signals such as respiration rate (RR), electroencephalogram (EEG), electrodermal activity (EDA), electrocardiogram (ECG), and cortisol, all of which are associated with mental health disorders. Databases such as Web of Science (WoS) and Scopus were used to identify studies that utilized smart textiles to monitor specific physiological parameters. Research indicates that smart textiles provide promising results compared to traditional methods, offering enhanced comfort for long-term monitoring

Más información

ID de Registro: 88958
Identificador DC: https://oa.upm.es/88958/
Identificador OAI: oai:oa.upm.es:88958
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10327974
Identificador DOI: 10.3390/s25041148
URL Oficial: https://www.mdpi.com/1424-8220/25/4/1148
Depositado por: iMarina Portal Científico
Depositado el: 07 May 2025 15:28
Ultima Modificación: 07 May 2025 15:29