The entire globe has been battling with deadly coronavirus disease 2019 (COVID-19) pandemic from the time December 2019. Around 190 million people have been affected by the virus, and 4 million have lost their lives to it. It has adversely influenced the socio-economical lives of people in almost all countries across the world. Hence, it is essential to detect the disease at an early stage and ensure that the transmission of the virus is curbed, in turn, saving the lives of many other people. With the advancements and developments in the information technology field, it is possible to diagnose infectious diseases like the current COVID-19 pandemic at an early stage and give proper treatment to the infected. In addition to analyzing the disease early, many other approaches are employed to deal with this deadly disease. In this chapter, various Internets of Things that are being used to track the patients' health and provide them the necessary care and treatment even in remote locations have been discussed. Also, machine learning and deep learning for early diagnosis and remote monitoring have been discussed. An experimental case study using COVIDX dataset has been discussed along with the results. Comprehensive experiments have been carried out with varying computed tomography (CT) sizes of CT images and an average accuracy of above 80% has been achieved. In all, how the use of technology in the medical field proves beneficial and how it can be leveraged even further to control the spread of the diseases has been elucidated in this chapter.

Chapter Contents:

• Abstract
• 5.1 Introduction
• 5.2 Detection techniques
• 5.3 Internet of Medical Things
• 5.4 IoMT devices for the identification of COVID-19 symptoms and remote monitoring
• 5.4.1 Wearables
• 5.4.2 Smartphone applications
• 5.5 Early diagnosis of COVID-19 and remote monitoring procedures
• 5.6 Machine learning and deep learning in COVID-19 diagnosis
• 5.7 Related works
• 5.8 Experimental case study
• 5.8.1 Dataset description
• 5.8.2 Methodology
• 5.8.3 Training
• 5.8.4 Experimental setup and results
• 5.9 Measures for monitoring and tracking COVID-19
• 5.10 Limitations of using IoMT devices
• 5.11 Conclusion and future scope
• References

Inspec keywords: epidemics; patient treatment; deep learning (artificial intelligence); microorganisms; Internet of Things; patient monitoring; diseases; cloud computing; computerised tomography; patient care; medical image processing

Other keywords: information technology field; virus; patient treatment; early diagnosis; machine learning; remote monitoring; socio-economical lives; COVIDX dataset; COVID-19 pandemics; deep learning; computed tomography sizes; infectious diseases; CT images; Internets of Things; remote locations; patient health; medical field; coronavirus disease 2019; patient care; cloud-based IoMT

Subjects: Optical, image and video signal processing; Patient diagnostic methods and instrumentation; Computer vision and image processing techniques; Patient care and treatment; Biology and medical computing; X-ray techniques: radiography and computed tomography (biomedical imaging/measurement); Neural nets; X-rays and particle beams (medical uses); Internet software; Mobile, ubiquitous and pervasive computing; Patient care and treatment