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Remote Continuous Health Monitoring System for Patients

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Data Science Analytics and Applications (DaSAA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 804))

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Abstract

Recent advances in Internet of Things (IoT) leads to the development of several applications. Some of these applications are related to smart healthcare monitoring though there are several applications for healthcare and monitoring it does not fully address the ability to satisfy the patient’s needs, doctor convenience and the automation of system to act according to the status of the patient. In this paper, we implemented an algorithm for (a) the continuous health monitoring and frequent update to the hospital server which notifies the doctor. It also supports the mobility of patient, (b) acts according to the critical levels of patient which is safe, intermediate or emergency through cloud processing, (c) ability of the doctor to view enormous sensor record in comprehend form using the visualization and analysis and (d) Drug management system to deliver drugs to the patient on time and without the presence of the nurse using stored data in the server. Raspberry pi 2 is used to transmit the bio-sensed data of patient directly to the cloud by using the internet of smart phone or PC where based on the critical level sends a notification to the doctor through hospital server, caretaker and/or Ambulance service.

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Correspondence to D. Jagadish .

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Jagadish, D., Priya, N., Suganya, R. (2018). Remote Continuous Health Monitoring System for Patients. In: R, S., Sharma, M. (eds) Data Science Analytics and Applications. DaSAA 2017. Communications in Computer and Information Science, vol 804. Springer, Singapore. https://doi.org/10.1007/978-981-10-8603-8_11

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  • DOI: https://doi.org/10.1007/978-981-10-8603-8_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8602-1

  • Online ISBN: 978-981-10-8603-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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