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Internet of Things (IoT) has emerged as a new paradigm today, connecting a variety of physical and virtual elements integrated with electronic components, sensors, actuators and software to collect and exchange data. IoT is gaining increasing attention as a priority research topic in the Health sector in general and in specific areas such as Mental Health. The main objective of this paper is to show a review of the existing research works in the literature, referring to the main IoT services and applications in Mental Health diseases. The scientific databases used to carry out the review are Google Scholar, IEEE Xplore, PubMed, Science Direct, and Web of Science, taking into account as date of publication the last 10 years, from 2008 to the present. Several search criteria were established such as "IoT OR Internet of Things AND (Application OR Service) AND Mental Health" selecting the most interesting articles. A total of 51 articles were found on IoT-based services and applications in Mental Health, of which 14 have been identified as relevant works in mental health. Many of the publications (more than 60%) found show the applications developed for monitoring patients with mental disorders through sensors and networked devices. The inclusion of the new IoT technology in Health brings many benefits in terms of monitoring, welfare interventions and providing alert and information services. In pathologies such as Mental Health is a vital factor to improve the patient life quality and effectiveness of the medical service.
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http://dx.doi.org/10.1007/s10916-018-1130-3 | DOI Listing |
J Med Internet Res
September 2025
Department of Psychiatry, Helsinki University Hospital and Helsinki University, Helsinki, Finland.
Background: Internet-based cognitive behavioral therapies (iCBTs) are typically categorized into 2 types: therapist-assisted and self-guided. Both formats have accumulated substantial evidence supporting their cost-effectiveness and efficacy in treating a range of mental health conditions. However, therapist-assisted iCBTs tend to show lower dropout rates than self-guided versions.
View Article and Find Full Text PDFJMIR Ment Health
September 2025
National Institute of Health and Care Research MindTech HealthTech Research Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Background: Cross-sector collaboration is increasingly recognized as essential for addressing complex health challenges, including those in mental health. Industry-academic partnerships play a vital role in advancing research and developing health solutions, yet differing priorities and perspectives can make collaboration complex.
Objective: This study aimed to identify key principles to support effective industry-academic partnerships, from the perspective of industry partners, and develop this into actionable guidance, which can be applied across sectors.
JMIR Res Protoc
September 2025
National Institute of Public Health, University of Southern Denmark, Copenhagen K, Denmark.
Background: The high and increasing rate of poor mental health among young people is a matter of global concern. Experiencing poor mental health during this formative stage of life can adversely impact interpersonal relationships, academic and professional performance, and future health and well-being if not addressed early. However, only a few of those in need seek help.
View Article and Find Full Text PDFNeuro Endocrinol Lett
September 2025
Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China.
Background: Major depressive disorder (MDD) is associated with neuro-immune - metabolic - oxidative (NIMETOX) pathways.
Aims: To examine the connections among NIMETOX pathways in outpatient MDD (OMDD) with and without metabolic syndrome (MetS); and to determine the prevalence of NIMETOX aberrations in a cohort of OMDD patients.
Methods: We included 67 healthy controls and 66 OMDD patients and we assessed various NIMETOX pathways.