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Erschienen in:
Cluster-Based Energy-Efficient Communication in Underwater Wireless Sensor Networks Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Patient Tracking Using IoT and Big Data

verfasst von : A. Jameer Basha, M. Malathi, S. Balaganesh, R. Maheshwari

Erschienen in: Proceedings of First International Conference on Smart System, Innovations and Computing

Verlag: Springer Singapore

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Abstract

In bucolic area, the majority of the people become extinct owed to unacquainted of their health conditions and inadequacy of hospital facilities. In view of this, patient monitoring scheme plays a most imperative role. This article mainly includes remote monitoring progression using WBAN with ZigBee protocol, abet for tracking the human’s health care in and out of the hospital, which facilitates to monitor precisely. Patient’s details are stored in IoT cloud and data analytics technique is exploiting to analyze that details. All the time, the patient’s records can be stored and retrieved in IoT cloud. Any variation occurs in the patient’s wellbeing stipulation means, it afford a message to the specified doctor and the patient protectorate.

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Vorheriges Kapitel Task-Enabled Instruction Cache Partitioning Scheme for Embedded System
Nächstes Kapitel An Enhanced Approach to Fuzzy C-means Clustering for Anomaly Detection
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Metadaten
Titel
Patient Tracking Using IoT and Big Data
verfasst von
A. Jameer Basha
M. Malathi
S. Balaganesh
R. Maheshwari
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Proceedings of First International Conference on Smart System, Innovations and Computing

Print ISBN: 978-981-10-5827-1

Electronic ISBN: 978-981-10-5828-8

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-981-10-5828-8_59

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