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Remote Patient Monitoring Using IoT, Cloud Computing and AI

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Hybrid Artificial Intelligence and IoT in Healthcare

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 209))

Abstract

Innovative wireless communication technologies using body sensors and the advent of Internet of things (IoT) are used to introduce many modern healthcare schemes to provide personalized health management and prevent some acute diseases. Monitoring and caring for patients remotely using modern techniques such as IoT, cloud computing (CC), and artificial intelligence (AI) are evolving proposals on healthcare innovations. Over the past decade, taking care of patients through remote access is widely suggested by different authors to monitor patients affected by different illnesses like heart disease, neurological sickness, blood pressure, body temperature, chronic disease, diabetes, and obesity. Further, remote monitoring is used to care for post-operative patients and aged patients using smart sensors and intelligent decision-making technologies. CC is a sophisticated technology comprised of remote servers which act as a gateway of remote access by connecting intelligent sensors and intelligent devices with the concept of IoT. AI is a genius technique of making decisions using deep learning (DL) methodology with the cloud dataset. This chapter illustrates the concept of cloud and AI-based IoT for remote health caring. It also discusses different decision-making systems using AI and the principle of operation of several cloud infrastructures used to access secured medical records. By learning this chapter, the readers and young researchers will understand the principle and challenges of IoT, CC, and AI in various healthcare schemes to identify the suitable architecture of the cloud and AI for different disease diagnosis and patient monitoring.

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Author information

Authors and Affiliations

  1. Sreyas Institute of Engineering and Technology, Hyderabad, India

    M. V. V. Prasad Kantipudi, C. John Moses & Sandeep Kumar

  2. Vardhaman College of Engineering, Hyderabad, India

    Rajanikanth Aluvalu

Authors
  1. M. V. V. Prasad Kantipudi
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  2. C. John Moses
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  3. Rajanikanth Aluvalu
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  4. Sandeep Kumar
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University, Majitar, Sikkim, India

    Akash Kumar Bhoi

  2. School of Computer Engineering, Kalinga Institute of Industrial Technology Deemed to be University, Bhubaneswar, Odisha, India

    Pradeep Kumar Mallick

  3. Department of Electronics and Communication Engineering, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

    Mihir Narayana Mohanty

  4. Graduate Program on Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Brazil

    Victor Hugo C. de Albuquerque

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kantipudi, M.V.V.P., Moses, C.J., Aluvalu, R., Kumar, S. (2021). Remote Patient Monitoring Using IoT, Cloud Computing and AI. In: Kumar Bhoi, A., Mallick, P.K., Narayana Mohanty, M., Albuquerque, V.H.C.d. (eds) Hybrid Artificial Intelligence and IoT in Healthcare. Intelligent Systems Reference Library, vol 209. Springer, Singapore. https://doi.org/10.1007/978-981-16-2972-3_3

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