. Deloitte, 2019 global health care outlook: Shaping the future, pp.1-41, 2019.

N. Dey, A. S. Ashour, and C. Bhatt, Internet of things driven connected healthcare, Internet of things and big data technologies for next generation healthcare, pp.3-12, 2017.

P. Singh, Internet of things based health monitoring system: opportunities and challenges, International Journal of Advanced Research in Computer Science, vol.9, issue.1, 2018.

J. Kim, A. S. Campbell, B. E. .-f.-deávila, and J. Wang, Wearable biosensors for healthcare monitoring, Nature biotechnology, p.1, 2019.

C. Habib, A. Makhoul, R. Darazi, and R. Couturier, Real-time sampling rate adaptation based on continuous risk level evaluation in wireless body sensor networks, 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp.1-8, 2017.
URL : https://hal.archives-ouvertes.fr/hal-02472589

M. Ibrahim, H. Harb, A. Nasser, A. Mansour, and C. Osswald, On-in: An on-node and in-node based mechanism for big data collection in large-scale sensor networks, 2019 27th European Signal Processing Conference (EUSIPCO), pp.1-5, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02434617

, Adaptive strategy and decision making model for sensingbased network applications, 2019 19th International Symposium on Communications and Information Technologies (ISCIT), pp.96-101, 2019.

M. Koussaifi, C. Habib, and A. Makhoul, Real-time stress evaluation using wireless body sensor networks

, IEEE, pp.37-39, 2018.

C. Habib, A. Makhoul, R. Darazi, and C. Salim, Self-adaptive data collection and fusion for health monitoring based on body sensor networks, IEEE transactions on Industrial Informatics, vol.12, issue.6, pp.2342-2352, 2016.
URL : https://hal.archives-ouvertes.fr/hal-02131158

C. Habib, A. Makhoul, R. Darazi, and R. Couturier, Health risk assessment and decision-making for patient monitoring and decisionsupport using wireless body sensor networks, Information Fusion, vol.47, pp.10-22, 2019.

G. Giorgi, A combined approach for real-time data compression in wireless body sensor networks, IEEE Sensors Journal, vol.17, issue.18, pp.6129-6135, 2017.

S. Vitabile, M. Marks, D. Stojanovic, S. Pllana, J. M. Molina et al., Medical data processing and analysis for remote health and activities monitoring, High-Performance Modelling and Simulation for Big Data Applications, pp.186-220, 2019.

N. Boudargham, J. B. Abdo, J. Demerjian, C. Guyeux, and T. Atechian, Efficient cluster-based routing algorithm for body sensor networks, 2018 IEEE Middle East and North Africa Communications Conference (MENACOMM), pp.1-6, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01992721

L. Syed, S. Jabeen, S. Manimala, and H. A. Elsayed, Data science algorithms and techniques for smart healthcare using iot and big data analytics, Smart Techniques for a Smarter Planet, pp.211-241, 2019.

M. Mohammadi, A. Al-fuqaha, S. Sorour, and M. Guizani, Deep learning for iot big data and streaming analytics: A survey, IEEE Communications Surveys & Tutorials, vol.20, issue.4, pp.2923-2960, 2018.

B. O. Soufiene, A. A. Bahattab, A. Trad, and H. Youssef, Lightweight and confidential data aggregation in healthcare wireless sensor networks, Transactions on Emerging Telecommunications Technologies, vol.27, issue.4, pp.576-588, 2016.

A. Arfaoui, A. Kribeche, S. M. Senouci, and M. Hamdi, Game-based adaptive anomaly detection in wireless body area networks, Computer Networks, vol.163, p.106870, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02556460

T. Wang, M. Z. Bhuiyan, G. Wang, M. A. Rahman, J. Wu et al., Big data reduction for a smart city's critical infrastructural health monitoring, IEEE Communications Magazine, vol.56, issue.3, pp.128-133, 2018.

F. Kiani, Reinforcement learning based routing protocol for wireless body sensor networks, 2017 IEEE 7th International Symposium on Cloud and Service Computing, pp.71-78, 2017.

S. Begum, S. Barua, and M. Ahmed, Physiological sensor signals classification for healthcare using sensor data fusion and case-based reasoning, Sensors, vol.14, issue.7, pp.11-770, 2014.

S. M. Martínez-chávez, M. E. Rivero-angeles, L. I. Garay-jiménez, and I. C. Romero-ibarra, Priority schemes for life extension and data delivery in body area wireless sensor networks with cognitive radio capabilities, Wireless Communications and Mobile Computing, vol.2019, 2019.

R. Ward, Energy-efficient data reduction techniques for eeg wireless body sensor networks, Qatar Foundation Annual Research Forum, vol.1, p.41, 2013.

M. Ayaz, M. Ammad-uddin, Z. Sharif, A. Mansour, and E. M. Aggoune, Internet-of-things (iot)-based smart agriculture: Toward making the fields talk, IEEE Access, vol.7, pp.129-551, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02439204

A. S. Abiodun, M. H. Anisi, I. Ali, A. Akhunzada, and M. K. Khan, Reducing power consumption in wireless body area networks: a novel data segregation and classification technique, IEEE Consumer Electronics Magazine, vol.6, issue.4, pp.38-47, 2017.

, Royal College of Physicians, 2015.

S. Hochreiter and J. Schmidhuber, Long short-term memory, Neural computation, vol.9, issue.8, pp.1735-1780, 1997.

D. P. Kingma and J. Ba, Adam: A method for stochastic optimization, pp.1-15, 2014.

, Mimic database on physionet, 2000.