, The Internet of Everything, 2014.

T. Internet-of, Healthcare Market Report 2022, 2016.

, Five Telemedicine Trends Transforming Health Care. Accessed, 2015.

L. Hood, Systems biology and P4 medicine: Past, present, and future, Rambam Maimonides Med. J, vol.4, issue.2, p.12, 2013.

L. Hood and M. Flores, A personal view on systems medicine and the emergence of proactive P4 medicine: Predictive, preventive, personalized and participatory, New Biotechnol, vol.29, issue.6, pp.613-624, 2012.

M. Swan, The quantified self: Fundamental disruption in big data science and biological discovery, Big Data, vol.1, pp.85-99, 2013.


G. Appelboom, M. Lopresti, J. Reginster, E. S. Connolly, and E. P. Dumont, The quantified patient: A patient participatory culture, Current Med. Res. Opinion, vol.30, issue.12, pp.2585-2587, 2014.

L. Schmitt, T. Falck, F. Wartena, and D. Simons, Novel ISO/IEEE 11073 standards for personal telehealth systems interoperability, Proc. Joint Workshop High Confidence Med. Devices Softw. Syst. Med. Device Plugand-Play Interoperability (HCMDSS-MDPnP), pp.146-148, 2007.

N. Georgi, R. Le-bouquin, and . Jeannès, Wellness sensors and proprietary protocols, a solution for health monitoring?, Proc. IEEE EMBS Int. Conf. Biomed. Health Inf. (BHI), pp.301-304, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01560056

N. Georgi, R. Le-bouquin, and . Jeannès, Proposal of a health monitoring system for continuous care, Proc. 4th Int. Conf. Adv. Biomed. Eng. (ICABME), pp.1-4, 2017.

T. Hofer, M. Schumacher, and S. Bromuri, COMPASS: An interoperable personal health system to monitor and compress signals in chronic obstructive pulmonary disease, Proc. 9th Int. Conf. Pervasive Comput. Technol. Healthcare (PervasiveHealth), pp.304-311, 2015.

R. Ram?rez-ram?rez, M. Cos?o-leon, and D. Ojeda-carreno,

M. Vazquez-briseno and J. I. Nieto-hipolito, Designing a gateway IEEE1451-HL7 for E-health telemonitoring services, Proc. Int. Conf. Comput. Syst. Telematics (ICCSAT), pp.1-6, 2015.

M. Mihaylov, A. Mihovska, S. Kyriazakos, and R. Prasad, Interoperable eHealth platform for personalized smart services, Proc. IEEE Int. Conf. Commun. Workshop (ICCW), pp.240-245, 2015.

L. Catarinucci, An IoT-aware architecture for smart healthcare systems, IEEE Internet Things J, vol.2, issue.6, pp.515-526, 2015.

A. M. Rahmani, Smart e-health gateway: Bringing intelligence to Internet-of-Things based ubiquitous healthcare systems, Proc. 12th Annu. IEEE Consum. Commun. Netw. Conf. (CCNC), pp.826-834, 2015.

V. Gay and P. Leijdekkers, Bringing health and fitness data together for connected health care: Mobile Apps as enablers of interoperability, J. Med. Internet Res, vol.17, issue.11, p.260, 2015.

L. Pescosolido, R. Berta, L. Scalise, G. M. Revel, A. D. Gloria et al., An IoT-inspired cloud-based Web service architecture for e-Health applications, Proc. IEEE Int. Smart Cities Conf. (ISC), pp.1-4, 2016.

M. Yuksel and A. Dogac, Interoperability of medical device information and the clinical applications: An HL7 RMIM based on the ISO/IEEE 11073 DIM, IEEE Trans. Inf. Technol. Biomed, vol.15, issue.4, pp.557-566, 2011.

, L'agrément des Hébergeurs de Données de Santé à Caractère Personnel, esante.gouv.fr, le portail de l'ASIP Santé, 2011.

, Consumer Protection in Fitness Wearables, 2016.

G. Mancia, 2013 ESH/ESC Guidelines for the management of arterial hypertension: The task force for the management of arterial hypertension of the European society of hypertension (ESH) and of the European society of cardiology (ESC), J. Hypertension, vol.31, issue.7, pp.1281-1357, 2013.

P. Palatini, D. Longo, G. Toffanin, O. Bertolo, V. Zaetta et al., Wrist blood pressure overestimates blood pressure measured at the upper arm, Blood Pressure Monitoring, vol.9, issue.2, pp.77-81, 2004.

, Smartphone OS Market Share Worldwide 2009-2016 Bar Statistic, 2017.

R. Wang, Accuracy of wrist-worn heart rate monitors, JAMA Cardiol, vol.2, issue.1, pp.104-106, 2017.