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IoT in Healthcare and Ambient Assisted Living pp 89–102Cite as

Remote Patient Monitoring: Health Status Detection and Prediction in IoT-Based Health Care

Part of the Studies in Computational Intelligence book series (SCI,volume 933)

Abstract

Internet of Things (IoT) has changed the lives of millions of people and improves the quality of human beings. This architecture is used for several parts of life including health care, transportation, and building. Moreover, IoT aims to remove human intervention in the decision and decrease the involvement of operators. Healthcare systems are very important since they have a direct effect on people’s life. Health status prediction is one of the achievements of IoT-based healthcare systems. These systems employ body sensors like electrocardiography (ECG), electroencephalogram (EEG), temperature, and blood pressure. They also employ environmental sensors to detect the behaviors of the patients which helps to improve the accuracy of health status prediction. In this chapter, we want to emphasize on IoT-based healthcare monitoring system that aids in health status prediction. Cloud computing and edge computing are employed to communicate between different healthcare subsystems. Edge computing is a distributed computing paradigm which brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth. Furthermore, edge computing-based healthcare systems are more efficient as the computing is done in nearer places to patients. Consequently, the health status prediction is done in real time which is critical in healthcare systems. This chapter presents IoT-based healthcare technologies and methods that are applied in order to detect or predict the patient health status.

Keywords

  • Health status prediction
  • IoT
  • Health care
  • Monitoring
  • Body sensors

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Authors and Affiliations

  1. Computer Engineering Department, University of Science and Culture, Bahar St, Shahid Qamushi St, Ashrafi Esfahani Bulvar, Tehran, Iran

    Azadeh Zamanifar

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  1. Azadeh Zamanifar
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Correspondence to Azadeh Zamanifar .

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Editors and Affiliations

  1. Polytechnic of Coimbra, ESTGOH, Rua General Santos Costa, Oliveira do Hospital, Portugal

    Dr. Gonçalo Marques

  2. Sikkim Manipal Institute of Technology, Sikkim Manipal University, Majitar, Sikkim, India

    Dr. Akash Kumar Bhoi

  3. ARMTEC Tecnologia em Robótica, Fortaleza/CE, Brazil

    Dr. Victor Hugo C. de Albuquerque

  4. Department of Computer Applications, Manipal Academy of Higher Education, Manipal, India

    Dr. Hareesha K.S.

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Zamanifar, A. (2021). Remote Patient Monitoring: Health Status Detection and Prediction in IoT-Based Health Care. In: Marques, G., Bhoi, A.K., Albuquerque, V.H.C.d., K.S., H. (eds) IoT in Healthcare and Ambient Assisted Living. Studies in Computational Intelligence, vol 933. Springer, Singapore. https://doi.org/10.1007/978-981-15-9897-5_5

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  • DOI: https://doi.org/10.1007/978-981-15-9897-5_5

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