Καταγραφή, ταξινόμηση και διαχείριση ιατρικών δεδομένων με χρήση πλατφόρμας ΙοΤ

Ζουμή, Ειρήνη

Medical data collection, classification and manipulation using IoT platform

Master Thesis

Author

Ζουμή, Ειρήνη

Date

2019-12

Abstract

The development of modern technology brings more and more benefits to the health sector. Indicatively, patient health monitoring applications, as well as the classification, management and remote monitoring of large volumes of medical data, benefit greatly from modern developments in the Internet of Things (IoT), wireless communications networks and Cloud Computing. The present work focuses on collecting big data from three types of sensors (body sensors, indoor and outdoor sensors), sorting them and storing them in Cloud infrastructure. A classification algorithm is proposed. For each type of sensor (for example blood pressure, body temperature, blood sugar levels, external humidity, etc.) a separate example of the algorithm is executed. The algorithm classifies the received data into classes, in order to efficiently organize them into cluster of Virtual Machines (VMs). Specifically taking into consideration the alternatives available in the literature, the proposed algorithm overrides heterogeneous, large quantities of data and stores them in the cloud so that they can be retrieved in a short time, which is an important factor in cases where health data are involved. Finally, the classified data are being used in order to generate rule bases using fuzzy logic to extract conclusions about the patient's state of health.

Postgraduate Studies Programme

Πληροφορική

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Πληροφορικής

Number of pages

182

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/12530

Collections

Τμήμα Πληροφορικής

Show full item record

Except where otherwise noted, this item's license is described as
Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές