Himansu Das - Real-Time Data Analytics for Large Scale Sensor Data

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

Figure represents the pictorial demonstration of the abstract of this chapter.

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.

This chapter discusses recent IoT devices and wearables for various diseases in the human body by examining the benefits, algorithms used for data analysis, identified challenges, and countermeasures for each disease. In order to do this, scientific articles on the topics of innovation of wireless wearables and IoT healthcare devices published between 2016 and 2018 were sourced from the Institute of Electrical and Electronics Engineers (IEEE) database. Most of the reviewed articles have examined different technological aspects of IoT healthcare devices. Although many types of research have applied the theory of IoT to healthcare, it is hard to find work that provides different types of devices for various types of diseases. Also, the previous work concentrates more on the technological aspects of the invented devices, which is more beneficial for professionals with knowledge and experience in the fields of IT or Engineering. This chapter targets mainly healthcare professionals such as doctors, medical researchers, and medical equipment manufacturers. IoT is still an emerging theory in the world. The complexity of the previous research makes it difficult to be understood by ordinary people. This issue is eradicated in this chapter where the complexity is quite less when compared to other similar work and helps to take the concept of IoT in healthcare to ordinary people. At the same time, the work reviewed in this chapter is the most recent inventions, making way for new inventors to develop the techniques to create more advanced or new devices that will help control more diseases.

Analysis of the devices in this chapter is categorized by the types of diseases and the affected body systems. This analysis identifies which types of diseases or body systems benefit more from the use of IoT devices. This information provides opportunities for medical professionals to collaborate with inventors to create more devices concentrating on diseases and systems that have not been targeted in previous studies.

It is essential to address security and privacy issues in IoT, as these might hold back or slow down the development of IoT in various sectors. To increase the reliability and trustworthiness of IoT, these issues should be addressed. This chapter discusses the problems and drawbacks related to the implemented devices and proposes solutions to these challenges. It also discusses the benefits of each device thus making it favorable for future use.