Technologies for Monitoring Lifestyle Habits Related to Brain Health: A Systematic Review.


Por: Moreno-Blanco D, Solana-Sánchez J, Sánchez-González P, Oropesa I, Cáceres C, Cattaneo G, Tormos-Muñoz JM, Bartrés-Faz D, Pascual-Leone Á and Gómez EJ

Publicada: 26 sep 2019 Ahead of Print: 26 sep 2019
Resumen:
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.

Filiaciones:
Moreno-Blanco D:
 Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, 28040 Madrid, Spain.

:
 Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, 08916 Badalona, Spain.

 Universitat Autònoma de Barcelona, Barcelona 08193, Spain, and with Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, 08916 Badalona, Spain.

Sánchez-González P:
 Centro de Investigación Biomédica en Red, Biomateriales y Nanomedicina (CIBER-BBN), 28029 Madrid, Spain.

Cáceres C:
 ETSI Informática, Universidad Rey Juan Carlos, 28933 Madrid, Spain.

Cattaneo G:
 Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, 08916 Badalona, Spain

 Institut d'Investigacions Biomèdiques August Pi i Sunyer, 08036 Barcelona, Spain

Tormos-Muñoz JM:
 Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, 08916 Badalona, Spain

 Universitat Autònoma de Barcelona, Barcelona 08193, Spain, and with Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, 08916 Badalona, Spain

Bartrés-Faz D:
 Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, 08916 Badalona, Spain

 Institut d'Investigacions Biomèdiques August Pi i Sunyer, 08036 Barcelona, Spain

 Departament de Medicina, Facultat de Medicina i Ciències de la Salut, i Institut de Neurociències, Universitat de Barcelona, 08036 Barcelona, Spain

Pascual-Leone Á:
 Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, 08916 Badalona, Spain

 Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02131, USA

Gómez EJ:
 Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, 28040 Madrid, Spain

 Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, 08916 Badalona, Spain
ISSN: 14243210





Sensors
Editorial
Multidisciplinary Digital Publishing Institute (MDPI), ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, Suiza
Tipo de documento: Article
Volumen: 19 Número: 19
Páginas:
WOS Id: 000494823200127
ID de PubMed: 31561599
imagen Green Published, gold

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