6533b82dfe1ef96bd1291e5c

RESEARCH PRODUCT

Toward fast and accurate emergency cases detection in BSNs

Jacques Bou AbdoAbdallah MakhoulNadine BoudarghamJacques DemerjianChristophe GuyeuxRayane El Sibai

subject

Data variabilityProperty (programming)Computer science010401 analytical chemistryReal-time computing020206 networking & telecommunicationsCUSUM02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]01 natural sciences[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationIndustrial and Manufacturing Engineering0104 chemical sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Data samplingSampling (signal processing)[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Default gateway0202 electrical engineering electronic engineering information engineering[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Wireless sensor network

description

International audience; In body sensor networks (BSNs), medical sensors capture physiological data from the human body and send them to the coordinator who act as a gateway to health care. The main aim of BSNs is to save peoples' lives. Therefore, fast and correct detection of emergencies while maintaining low-energy consumption of sensors is essential requirement of BSNs. In this study, the authors propose a new adaptive data sampling approach, where the sampling ratio is adapted based on the sensed data variation. The idea is to use the modified version of the cumulative sum (CUSUM) algorithm (modified CUSUM) that they previously proposed for wireless sensor networks to monitor the data variability, and adapt the sampling rate accordingly. Modified CUSUM is then applied to the adaptively sampled data to detect anomalies, and the correlation property between physiological parameters will be used to identify emergency cases from false alarms. Several experiments are performed and compared to evaluate the efficiency of their approach, and different parameters are considered.

https://hal.archives-ouvertes.fr/hal-02993845