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IoMT-Based Smart Diagnostic/Therapeutic Kit for Pandemic Patients

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Internet of Medical Things for Smart Healthcare

Part of the book series: Studies in Big Data ((SBD,volume 80))

Abstract

In the present situation, most of the patients suffered from pandemic diseases such as COVID-19, Ebola, etc. The infected people might have an incubation period of 1–14 days before creating any symptoms. The most widely recognized symptoms of coronavirus illness are high fever, breathing problem, and dry cough. Most of the patients (about 80%) recover from the illness without developing any major symptoms. This disease may be complicated rarely since it is more critical for aged people and even become fatal. The people with other major health problems, for example, asthma, diabetes, obesity, or heart disease might be progressively helpless against getting seriously sick. They lost their life before diagnosing specific medical problems. Since it requires huge investment in maintenance, diagnosis as well as treatment, and also it consumes time to provide a test as well as to investigate the patients’ past clinical history. Numerous researches were undergone all over the world to smart kit the patients’ past clinical records were stored in IoT cloud database. The security and privacy medical record of the patients is protected. This cloud access database provides the past medical history to the healthcare professionals to rescue the patient from a serious illness. Also, the current health status of the pandemic patients is continuously monitored through wireless telemetry technique Message Queue Telemetry Transport Protocol (MQTT). Based on the patient’s live status, the health specialists suggest the medicine and/or recommend the precaution steps and provide the treatment effectively without direct contact with them.

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Correspondence to M. Parimala Devi .

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Parimala Devi, M., Raja, G.B., Gowrishankar, V., Sathya, T. (2020). IoMT-Based Smart Diagnostic/Therapeutic Kit for Pandemic Patients. In: Chakraborty, C., Banerjee, A., Garg, L., Rodrigues, J.J.P.C. (eds) Internet of Medical Things for Smart Healthcare. Studies in Big Data, vol 80. Springer, Singapore. https://doi.org/10.1007/978-981-15-8097-0_6

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  • DOI: https://doi.org/10.1007/978-981-15-8097-0_6

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  • Print ISBN: 978-981-15-8096-3

  • Online ISBN: 978-981-15-8097-0

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