Real-Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large Scale Sensor Data

Volume 6 in Advances in Ubiquitous Sensing Applications for Healthcare
2020, Pages 1-35
Real-Time Data Analytics for Large Scale Sensor Data

Chapter 1 - Internet of Things in healthcare: Smart devices, sensors, and systems related to diseases and health conditions

https://doi.org/10.1016/B978-0-12-818014-3.00001-2Get rights and content

Abstract

This chapter discusses recent IoT devices and wearables for various diseases in the human body and examines the benefits, algorithms used for data analysis, identified challenges, and countermeasures for each disease. In order to do this, we sourced scientific articles on the topics of innovation of wireless wearables and IoT healthcare devices published between 2016 and 2018 from the Institute of Electrical and Electronics Engineers (IEEE) database.

Graphical Abstract

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Graphical abstract of the research: The data gathered from 35 peer-reviewed articles from 2016 to 2018. The authors studied medical conditions, IoT sensors, devices, measured parameters, methods followed, data classifiers, benefits and issues of using the devices, and proposed solutions. The central nervous system was identified as the most frequently used body system for IoT devices. The majority of IoT devices measured body parameters. The most significant benefit of using IoT devices is efficiency. The biggest challenge in using IoT devices is security and privacy of sensitive data.

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