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

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Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, 28040 Madrid, Spain
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Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, 08916 Badalona, Spain
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Universitat Autònoma de Barcelona, 08193 Barcelona, Spain, and with Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, 08916 Badalona, Spain
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Centro de Investigación Biomédica en Red, Biomateriales y Nanomedicina (CIBER-BBN), 28029 Madrid, Spain
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ETSI Informática, Universidad Rey Juan Carlos, 28933 Madrid, Spain
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Institut d’Investigacions Biomèdiques August Pi i Sunyer, 08036 Barcelona, Spain
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Departament de Medicina, Facultat de Medicina i Ciències de la Salut, i Institut de Neurociències, Universitat de Barcelona, 08036 Barcelona, Spain
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Hinda and Arthur Marcus Institute for Aging Research and the Center for Memory Health, Hebrew SeniorLife, Department of Neurology, Harvard Medical School, Boston, MA 02131, USA
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(19), 4183; https://doi.org/10.3390/s19194183
Received: 31 July 2019 / Revised: 19 September 2019 / Accepted: 25 September 2019 / Published: 26 September 2019
(This article belongs to the Special Issue Body Sensors Networks for E-Health Applications)
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. View Full-Text
Keywords: adaptive systems; biomedical engineering; brain health; brain modeling; modeling; monitoring; review; remote monitoring; sensor systems; telemedicine adaptive systems; biomedical engineering; brain health; brain modeling; modeling; monitoring; review; remote monitoring; sensor systems; telemedicine
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Moreno-Blanco, D.; Solana-Sánchez, J.; Sánchez-González, P.; Oropesa, I.; Cáceres, C.; Cattaneo, G.; Tormos-Muñoz, J.M.; Bartrés-Faz, D.; Pascual-Leone, Á.; Gómez, E.J. Technologies for Monitoring Lifestyle Habits Related to Brain Health: A Systematic Review. Sensors 2019, 19, 4183.

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