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Published in: Journal of Medical Systems 1/2019

01-01-2019 | Systems-Level Quality Improvement

IoT-Based Services and Applications for Mental Health in the Literature

Authors: Isabel de la Torre Díez, Susel Góngora Alonso, Sofiane Hamrioui, Eduardo Motta Cruz, Lola Morón Nozaleda, Manuel A. Franco

Published in: Journal of Medical Systems | Issue 1/2019

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Abstract

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.
Literature
1.
go back to reference Dimitrov, D. V., Medical internet of things and big data in healthcare. Healthc. Inform. Res. 22(3):156–163, 2016.CrossRef Dimitrov, D. V., Medical internet of things and big data in healthcare. Healthc. Inform. Res. 22(3):156–163, 2016.CrossRef
2.
go back to reference Zois, D. S., Sequential decision – Making in healthcare IoT : Real – Time health monitoring, Treatments and Interventions. 2016 IEEE 3rd World Forum Internet Things. ;24–29, 2016. Zois, D. S., Sequential decision – Making in healthcare IoT : Real – Time health monitoring, Treatments and Interventions. 2016 IEEE 3rd World Forum Internet Things. ;24–29, 2016.
3.
go back to reference Hassanalieragh, M., Page, A., Soyata, T., Sharma, G., Aktas, M., and Mateos, G. et al., Health monitoring and management using internet-of-things (IoT) sensing with cloud-based processing: opportunities and challenges. Proc. 2015 IEEE Int. Conf. Serv. Comput. SCC. 285–292, 2015. Hassanalieragh, M., Page, A., Soyata, T., Sharma, G., Aktas, M., and Mateos, G. et al., Health monitoring and management using internet-of-things (IoT) sensing with cloud-based processing: opportunities and challenges. Proc. 2015 IEEE Int. Conf. Serv. Comput. SCC. 285–292, 2015.
4.
go back to reference Hamrioui, S., and Lorenz, P., Efficient wireless mobile networks communications applied to e-health. 2017 IEEE Int. Conf. Commun. 1–6, 2017. Hamrioui, S., and Lorenz, P., Efficient wireless mobile networks communications applied to e-health. 2017 IEEE Int. Conf. Commun. 1–6, 2017.
5.
go back to reference Hamrioui, S., and Lorenz, P., Load balancing algorithm for efficient and reliable IoT communications within E-health environment. IEEE Glob. Commun. Conf. GLOBECOM 2017:1–6, 2017. Hamrioui, S., and Lorenz, P., Load balancing algorithm for efficient and reliable IoT communications within E-health environment. IEEE Glob. Commun. Conf. GLOBECOM 2017:1–6, 2017.
6.
go back to reference Ahouandjinou, A. S. R. M., and Assogba, K., Motamed C. smart and pervasive ICU based-IoT for improving intensive health care. 2016 Int. Conf. Bio-Eng. Smart Technol. BioSMART 2016:1–4, 2016. Ahouandjinou, A. S. R. M., and Assogba, K., Motamed C. smart and pervasive ICU based-IoT for improving intensive health care. 2016 Int. Conf. Bio-Eng. Smart Technol. BioSMART 2016:1–4, 2016.
7.
go back to reference Hamrioui, S., Lorenz, P., Lloret, J., and Lalam, M., Energy efficient in medical ad hoc sensors network by exploiting routing protocols. 2014 IEEE Glob. Commun. Conf. GLOBECOM. 2417–2422, 2014. Hamrioui, S., Lorenz, P., Lloret, J., and Lalam, M., Energy efficient in medical ad hoc sensors network by exploiting routing protocols. 2014 IEEE Glob. Commun. Conf. GLOBECOM. 2417–2422, 2014.
8.
go back to reference Wan, J., Gu, X., Chen, L., and Wang, J., Internet of things for ambient assisted living: Challenges and future opportunities. 2017 Int. Conf. Cyber-Enabled Distrib. Comput. Knowl. Discov. 354–357, 2017. Wan, J., Gu, X., Chen, L., and Wang, J., Internet of things for ambient assisted living: Challenges and future opportunities. 2017 Int. Conf. Cyber-Enabled Distrib. Comput. Knowl. Discov. 354–357, 2017.
9.
go back to reference Sahu, S., and Sharma, A., Detecting brainwaves to evaluate mental health using LabVIEW and applications. Proc. IEEE Int. Conf. Emerg. Technol. Trends Comput. Commun. Electr. Eng. ICETT 2017:3–6, 2016. Sahu, S., and Sharma, A., Detecting brainwaves to evaluate mental health using LabVIEW and applications. Proc. IEEE Int. Conf. Emerg. Technol. Trends Comput. Commun. Electr. Eng. ICETT 2017:3–6, 2016.
10.
go back to reference Stellbrink, A., and Meisenzahl, E., Big data market analysis of e-health in medical neuroscience. Eur. Psychiatr. 41:S39, 2017.CrossRef Stellbrink, A., and Meisenzahl, E., Big data market analysis of e-health in medical neuroscience. Eur. Psychiatr. 41:S39, 2017.CrossRef
11.
go back to reference Medrano-Gil, A. M., de los Ríos Pérez, S., Fico, G., Montalvá Colomer, J. B., Cea Sáncez, G., Cabrera-Umpierrez, M. F., et al., Definition of technological solutions based on the internet of things and smart cities paradigms for active and healthy ageing through Cocreation. Wirel. Commun. Mob. Comput. 1–15, 2018. Medrano-Gil, A. M., de los Ríos Pérez, S., Fico, G., Montalvá Colomer, J. B., Cea Sáncez, G., Cabrera-Umpierrez, M. F., et al., Definition of technological solutions based on the internet of things and smart cities paradigms for active and healthy ageing through Cocreation. Wirel. Commun. Mob. Comput. 1–15, 2018.
12.
go back to reference Ivascu, T., Manate, B., and Negru, V., A multi-agent architecture for ontology-based diagnosis of mental disorders. Proc. 17th Int. Symp. Symb. Numer. Algorithms Sci. Comput. SYNASC. 423–430, 2015. Ivascu, T., Manate, B., and Negru, V., A multi-agent architecture for ontology-based diagnosis of mental disorders. Proc. 17th Int. Symp. Symb. Numer. Algorithms Sci. Comput. SYNASC. 423–430, 2015.
13.
go back to reference Aledavood, T., Hoyos, A. M. T., Alakörkkö, T., Kaski, K., Saramäki, J., Isometsä, E. et al., Data collection for mental health studies through digital platforms: requirements and design of a prototype. JMIR Res. Protoc. 6(6):e110, 2017.CrossRef Aledavood, T., Hoyos, A. M. T., Alakörkkö, T., Kaski, K., Saramäki, J., Isometsä, E. et al., Data collection for mental health studies through digital platforms: requirements and design of a prototype. JMIR Res. Protoc. 6(6):e110, 2017.CrossRef
14.
go back to reference Saha, H. N., Auddy, S., Pal, S., Kumar, S., Pandey, S., and Singh, R., et al., Health monitoring using internet of things (IoT). 2017 8th. Annu. Ind. Autom. Electromech. Eng. Conf. 69–73, 2017. Saha, H. N., Auddy, S., Pal, S., Kumar, S., Pandey, S., and Singh, R., et al., Health monitoring using internet of things (IoT). 2017 8th. Annu. Ind. Autom. Electromech. Eng. Conf. 69–73, 2017.
15.
go back to reference Darshan, K. R., and Anandakumar, K. R., A comprehensive review on usage of internet of things (IoT) in healthcare system. 2015 Int. Conf. Emerg. Res. Electron. Comput. Sci. Technol. ICERECT. 132–136, 2015. Darshan, K. R., and Anandakumar, K. R., A comprehensive review on usage of internet of things (IoT) in healthcare system. 2015 Int. Conf. Emerg. Res. Electron. Comput. Sci. Technol. ICERECT. 132–136, 2015.
16.
go back to reference Baig, M. M., GholamHosseini, H., Moqeem, A. A., Mirza, F., and Lindén, M., A systematic review of wearable patient monitoring systems – current challenges and opportunities for clinical adoption. J. Med. Syst. 41(7):115, 2017.CrossRef Baig, M. M., GholamHosseini, H., Moqeem, A. A., Mirza, F., and Lindén, M., A systematic review of wearable patient monitoring systems – current challenges and opportunities for clinical adoption. J. Med. Syst. 41(7):115, 2017.CrossRef
17.
go back to reference Hayati, N., and Suryanegara, M., The IoT LoRa system design for tracking and monitoring patient with mental disorder. 2017 IEEE. Int. Conf. Commun. Netw. Satell. COMNETSAT 2017 - Proc. 135–139, 2017. Hayati, N., and Suryanegara, M., The IoT LoRa system design for tracking and monitoring patient with mental disorder. 2017 IEEE. Int. Conf. Commun. Netw. Satell. COMNETSAT 2017 - Proc. 135–139, 2017.
18.
go back to reference Bone, D., Lee, C.-C., Chaspari, T., Gibson, J., and Narayanan, S., Signal processing and machine learning for mental health research and clinical applications [perspectives]. IEEE Sign. Process Mag. 34(5):196–195, 2017.CrossRef Bone, D., Lee, C.-C., Chaspari, T., Gibson, J., and Narayanan, S., Signal processing and machine learning for mental health research and clinical applications [perspectives]. IEEE Sign. Process Mag. 34(5):196–195, 2017.CrossRef
19.
go back to reference Alam, M. G. R., Abedin, S. F., Al, A. M., and Hong, C. S., Web of objects based ambient assisted living framework for emergency psychiatric state prediction. Sensors. 16(9):1431, 2016.CrossRef Alam, M. G. R., Abedin, S. F., Al, A. M., and Hong, C. S., Web of objects based ambient assisted living framework for emergency psychiatric state prediction. Sensors. 16(9):1431, 2016.CrossRef
20.
go back to reference Lekjaroen, K., Ponganantayotin, R., Charoenrat, A., Funilkul, S., Supasitthimethee, U., and Triyason, T., IoT planting: Watering system using mobile application for the elderly. 20th Int. Comput. Sci. Eng. Conf. ICSEC. 1–6, 2016. Lekjaroen, K., Ponganantayotin, R., Charoenrat, A., Funilkul, S., Supasitthimethee, U., and Triyason, T., IoT planting: Watering system using mobile application for the elderly. 20th Int. Comput. Sci. Eng. Conf. ICSEC. 1–6, 2016.
21.
go back to reference Raji, A., Jeyasheeli, P. G., and Jenitha, T., IoT based classification of vital signs data for chronic disease monitoring. 2016 10th Int Conf Intell Syst Control. 1–5, 2016. Raji, A., Jeyasheeli, P. G., and Jenitha, T., IoT based classification of vital signs data for chronic disease monitoring. 2016 10th Int Conf Intell Syst Control. 1–5, 2016.
22.
go back to reference Cosma, G., Brown, D., Battersby, S., Kettley, S., and Kettley, R., Analysis of multimodal data obtained from users of smart textiles designed for mental wellbeing. Int. Conf. Internet Things Glob. Commun. 1–6, 2017. Cosma, G., Brown, D., Battersby, S., Kettley, S., and Kettley, R., Analysis of multimodal data obtained from users of smart textiles designed for mental wellbeing. Int. Conf. Internet Things Glob. Commun. 1–6, 2017.
23.
go back to reference Babar, M., Rahman, A., Arif, F., and Jeon, G., Energy-harvesting based on internet of things and big data analytics for smart health monitoring. Sustain Comput. Inform. Syst. 2017. Babar, M., Rahman, A., Arif, F., and Jeon, G., Energy-harvesting based on internet of things and big data analytics for smart health monitoring. Sustain Comput. Inform. Syst. 2017.
24.
go back to reference Kim, J. C., and Chung, K., Depression index service using knowledge based crowdsourcing in smart health. Wirel. Pers. Commun. 93(1):255–268, 2017.CrossRef Kim, J. C., and Chung, K., Depression index service using knowledge based crowdsourcing in smart health. Wirel. Pers. Commun. 93(1):255–268, 2017.CrossRef
25.
go back to reference McWhorter, J., Brown, L., and Khansa, L., A wearable health monitoring system for posttraumatic stress disorder. Biol. Inspired Cogn. Archit. 22:44–50, 2017. McWhorter, J., Brown, L., and Khansa, L., A wearable health monitoring system for posttraumatic stress disorder. Biol. Inspired Cogn. Archit. 22:44–50, 2017.
26.
go back to reference Glenn T, Monteith S. New measures of mental state and behavior based on data collected from sensors, smartphones, and the Internet. Curr. Psychiatr. Rep. 2014;16(12):523. Glenn T, Monteith S. New measures of mental state and behavior based on data collected from sensors, smartphones, and the Internet. Curr. Psychiatr. Rep. 2014;16(12):523.
27.
go back to reference Mighali, V., Patrono, L., Stefanizzi, M. L., Rodrigues, J. J. P. C., and Solic, P., A smart remote elderly monitoring system based on IoT technologies. Int. Conf. Ubiquitous Futur. Netw. ICUFN. 43–48, 2017. Mighali, V., Patrono, L., Stefanizzi, M. L., Rodrigues, J. J. P. C., and Solic, P., A smart remote elderly monitoring system based on IoT technologies. Int. Conf. Ubiquitous Futur. Netw. ICUFN. 43–48, 2017.
Metadata
Title
IoT-Based Services and Applications for Mental Health in the Literature
Authors
Isabel de la Torre Díez
Susel Góngora Alonso
Sofiane Hamrioui
Eduardo Motta Cruz
Lola Morón Nozaleda
Manuel A. Franco
Publication date
01-01-2019
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 1/2019
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-018-1130-3

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