Affiliation:
1. Indian Institute of Information Technology, Kottayam, India
Abstract
This chapter covers various technical features available for building a smart healthcare system. Its different components are included as separate sections along with introduction and conclusion parts. There are many other sections incorporated here, namely infrastructure development, streaming data management, cloud computing and machine learning techniques for data analysis. The advancements in sensor technology and internet of things could enable real-time monitoring of several body parameters. The values from these sensors connected to the body can be Integrated for analysis. Which can enhance our health monitoring system. The way of harvesting information from these fast-moving data is also explored here in this chapter. Further, the role of machine learning techniques to build intelligence to the system is discussed in detail. This chapter is organized as a systematic study to form a smart healthcare system which are accepted by the people because of its analytical accuracy.
Reference39 articles.
1. Interaction of electromagnetic waves with humans in wearable and biomedical implant antennas
2. AggarwalC. C.AshishN.ShethA. (2013). The internet of things: A survey from the data-centric perspective. InManaging and mining sensor data. Springer.
3. Performance analysis of a miniaturized implantable PIFA antenna for WBAN at ISM band
4. Implementation of body temperature and pulseoximeter sensors for wireless body area network.;M. U.Al Rasyid;Sensors and Materials,2015
5. Building platform application big sensor data for e-health wireless body area network