Correlation analysis of vital signs to monitor disease risks in ubiquitous healthcare system

Healthcare systems for chronic diseases demand continuous monitoring of physiological parameters or vital signs of the patients’ body. Through these vital signs’ information, healthcare experts attempt to diagnose the behavior of a disease. Identifying the relationship between these vital signs is still a big question for the research community. We have proposed a sophisticated way to identify the affiliations between vital signs of three specific diseases i.e., Sepsis, Sleep Apnea, and Intradialytic Hypotension (IDH) through Pearson statistical correlation analysis. Vital signs data of about 32 patients were taken for analysis. Experimental results show significant affiliations of vital signs of Sepsis and IDH with average correlation coefficient of 0.9 and 0.58, respectively. The stability of the mentioned correlation is about 75% and 90%, respectively

Content-Aware Reliable and Energy-Efficient MAC (CARE-MAC) Protocol for Wireless Body Area Networks

Immense technological progress in Wireless Sensor Networks (WSNs) has made possible the realization of intra and inter-body communication in Wireless Body Area Networks (WBANs). A WBAN is a unique branch of WSNs in which tiny body sensors (implanted/wearable) are equipped with wireless interfaces (homo-/heterogeneous radio technologies). The MAC protocols in WBAN play an important role in regulating the duty cycle of Radio Frequency (RF) module to reduce the energy consumption of sensor nodes and ultimately achieve the objectives of maximum network life and maximum throughput. In this paper, we have proposed Content-Aware Reliable and Energy-efficient MAC (CARE-MAC) protocol for WBAN, which is based on 802.15.6 standard of IEEE. The design of CARE-MAC is rooted in the fact that most of the common vital signs maintain steady values for patients having chronic conditions. Accordingly, data redundancy exists in transmitted data packets for long periods of time. CARE-MAC explores an opportunity to utilize channel access efficiently by minimizing redundant transmissions of sensed data. This paper also provides comprehensive frame transmission and energy consumption model. A real-life dataset of 32 patients is used to perform simulation analysis of CARE-MAC and its comparison with IEEE 802.15.6 standard. Simulation results show that the proposed CARE-MAC outperforms IEEE 802.15.6 MAC protocol both in term of energy efficiency and packet delivery ratio