Technologies for Monitoring Lifestyle Habits Related to Brain Health : A Systematic Review
Moreno-Blanco, Diego (Universidad Politécnica de Madrid)
Solana-Sánchez, Javier (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Sánchez-González, Patricia (Universidad Politécnica de Madrid)
Oropesa, Ignacio (Universidad Politécnica de Madrid)
Cáceres, César (Universidad Politécnica de Madrid)
Cattaneo, Gabriele (Institut Germans Trias i Pujol. Institut Guttmann)
Tormos-Muñoz, Josep M. (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Bartrés-Faz, David (Institut Germans Trias i Pujol. Institut Guttmann)
Pascual Leone, Álvaro (Institut Germans Trias i Pujol. Institut Guttmann)
Gómez, Enrique J. (Institut Germans Trias i Pujol. Institut Guttmann)
Universitat Autònoma de Barcelona

Data:	2019
Resum:	Brain health refers to the preservation of brain integrity and function optimized for an individual's biological age. Several studies have demonstrated that our lifestyles habits impact our brain health and our cognitive and mental wellbeing. Monitoring such lifestyles is thus critical and mobile technologies are essential to enable such a goal. Three databases were selected to carry out the search. Then, a PRISMA and PICOTS based criteria for a more detailed review on the basis of monitoring lifestyle aspects were used to filter the publications. We identified 133 publications after removing duplicates. Fifteen were finally selected from our criteria. Many studies still use questionnaires as the only tool for monitoring and do not apply advanced analytic or AI approaches to fine-tune results. We anticipate a transformative boom in the near future developing and implementing solutions that are able to integrate, in a flexible and adaptable way, data from technologies and devices that users might already use. This will enable continuous monitoring of objective data to guide the personalized definition of lifestyle goals and data-driven coaching to offer the necessary support to ensure adherence and satisfaction.
Ajuts:	Agencia Estatal de Investigación DPI2017-86088-C3-1-R "la Caixa" Foundation LCF/PR/PR16/11110004
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Adaptive systems ; Biomedical engineering ; Brain health ; Brain modeling ; Modeling ; Monitoring ; Review ; Remote monitoring ; Sensor systems ; Telemedicine
Publicat a:	Sensors (Basel, Switzerland), Vol. 19 (september 2019) , ISSN 1424-8220

DOI: 10.3390/s19194183
PMID: 31561599

22 p, 3.8 MB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Institut d'Investigació en Ciencies de la Salut Germans Trias i Pujol (IGTP)
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