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Smart Healthcare Technologies for Massive Internet of Medical Things

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Efficient Data Handling for Massive Internet of Medical Things

Part of the book series: Internet of Things ((ITTCC))

Abstract

Smarthealth care system is required to handle the large volume of data produced by the Massive Internet of Medical things. Smart healthcare system uses information and communication technology of IoT, data analytic, machine learning, deep learning, augmented reality, and cloud technologies to realize efficient, personalized, convenient health care systems. This chapter intended to give an overview, and the case of the above said ICT technologies for smart health applications. Smart healthcare systems are more patient-centric and enable them to get anywhere any health care service at an affordable cost. Machine learning and deep learning allow auto diagnosis of disease and predict the disease in an earlier stage in a systematic way from the acquired data set from the patient. Prediction of the disease increases the chance of curing the disease and reduces the Mortality rate. IoT enables smart continuous remote patient monitoring and medical data acquisition via an intelligent sensor system. Augmented Reality (AR) helps the surgeons to diagnose the disease accurately, performs surgery precisely with the help of real-time data of the patient quickly. AR also make surgeons precisely study patients’ anatomy through overlaying AR set augmentation of their scanned image on top of their body. Doctors able to visualize the internal part of the human body and organs without cutting the body. Cloud platform enables the patient data storage and retrieval of them anywhere at any time. Cloud computing facilitates run diagnosis and decision support software on ad hoc fashion and enables remote healthcare services. mHealth system utilizes mobile applications to easily reach the community of patients to provide health care services.

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Authors and Affiliations

  1. ECE Department, SRM IST, Chennai, Tamil Nadu, India

    Vijayakumar Ponnusamy & Sowmya Natarajan

  2. VIT, Vellore, Tamil Nadu, India

    J. Christopher Clement & K. C. Sriharipriya

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  1. Vijayakumar Ponnusamy
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  3. K. C. Sriharipriya
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Editors and Affiliations

  1. Electronics and Communication, Birla Institute of Technology, Mesra, Deoghar, Jharkhand, India

    Chinmay Chakraborty

  2. Vanderbilt University, Nashville, TN, USA

    Uttam Ghosh

  3. Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA

    Vinayakumar Ravi

  4. Aranca Technology Research & Advisory, Mumbai, Maharashtra, India

    Yogesh Shelke

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Ponnusamy, V., Christopher Clement, J., Sriharipriya, K.C., Natarajan, S. (2021). Smart Healthcare Technologies for Massive Internet of Medical Things. In: Chakraborty, C., Ghosh, U., Ravi, V., Shelke, Y. (eds) Efficient Data Handling for Massive Internet of Medical Things. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-66633-0_4

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