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VaikunthSridharan_Thesis_Final.pdf (2.63 MB)

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Sensor Data Streams Correlation Platform for Asthma Management

Sridharan, Vaikunth
http://rave.ohiolink.edu/etdc/view?acc_num=wright1527546937956439

Abstract Details

2018, Master of Science (MS), Wright State University, Computer Science.
Asthma is a high-burden chronic inflammatory disease with prevalence in children with twice the rate compared to adults. It can be improved by continuously monitoring patients and their environment using the Internet of Things (IoT) based devices. These sensor data streams so obtained are essential to comprehend multiple factors triggering asthma symptoms. In order to support physicians in exploring causal associations and finding actionable insights, a visualization system with a scalable cloud infrastructure that can process multimodal sensor data and Patient Generated Health Data (PGHD) is necessary. In this thesis, we describe a cloud-based asthma management and visualization platform that integrates personalized PGHD from kHealth kit and outdoor environmental observations from web services. When applied to data from an individual, the tool assists in analyzing and explaining symptoms using "personalized" causes, monitor disease progression, and improve asthma management. The front-end visualization was built with Bootstrap Framework and Highcharts. Google's Firebase and Elasticsearch engine were used as back-end storage to aggregate data from various sources. Further, Node.js and Express Framework were used to develop several Representational State Transfer services useful for the visualization.
Amit Sheth, Ph.D. (Advisor)
Krishnaprasad Thirunarayanan, Ph.D. (Committee Member)
Maninder Kalra, Ph.D. (Committee Member)
Valerie Shalin, Ph.D. (Committee Member)
56 p.
Computer Science; Health
asthma; asthma management; sensor data streams; Internet of Things; IoT

Recommended Citations

Citations

  • Sridharan, V. (2018). Sensor Data Streams Correlation Platform for Asthma Management [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1527546937956439

    APA Style (7th edition)

  • Sridharan, Vaikunth. Sensor Data Streams Correlation Platform for Asthma Management. 2018. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1527546937956439.

    MLA Style (8th edition)

  • Sridharan, Vaikunth. "Sensor Data Streams Correlation Platform for Asthma Management." Master's thesis, Wright State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1527546937956439

    Chicago Manual of Style (17th edition)

wright1527546937956439
389
© 2018, some rights reserved.Creative Commons License Sensor Data Streams Correlation Platform for Asthma Management by Vaikunth Sridharan is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Wright State University and OhioLINK.