Visualization of Sensors’ Data in Time Series Databases for Health Purposes

Savoska, Snezana and Bocevska, Andrijana (2022) Visualization of Sensors’ Data in Time Series Databases for Health Purposes. In: The 15-th conference on Information Systems and Grid Technologies, May 27-28, 2022, Sofia, Bulgaria.

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Official URL: http://ceur-ws.org/Vol-3191/

Abstract

The increasing influx of information on pollutants that affect human health leads to collection of huge amounts of data that are recorded in many different formats, servers, for different types of pollutants, for different geographical locations, temporally arranged and most often recorded in time series formats. According to the Law on free access to public information, the institutions are obliged to publish all these data on different types of pollution on public websites and to make them available to the citizens. Institutions most often publish collected and stored data at locations where the measurement sensors are found and present them in visual formats for the current measured data for a certain pollutant, which are understandable to the citizens. Many applications can show at any time the values of pollutants at certain positions. In addition, summary analyzes can be made if the allowed limits for pollutants are known according to the Law on environmental protection. However, there is no organized effort to quantify their common impact on a person during their lifetime, i.e. to assess the risk for each individual depending on their health conditions, chronic disease, if any, or assessment of external pollutants – aero-exposures to the individual at one location over a period. Setting such a premise, especially if a prediction of outcomes could be made, would be very useful if these aero-exposomes were linked to the chronic disease from the patient’s personal health record (PHR), particularly on the respiratory system. The risk assessment of residence in certain areas in a certain period, and the availability of this assessment to his doctor and to him personally, would be very useful because it would protect patient’s health and give recommendations for avoiding locations in periods of stay in certain locations. In this paper, we are trying to give some guidance and propose a model for visual data analysis from time series with environmental data that should help in assessing the risk of residence in some locations at particular time. Data are obtained from measuring sensors, placed in the northwestern region of Republic of North Macedonia. The limits of permitted values of pollutants are taken into consideration, according to the Ministry of Environment and physical planning website, as well as data from patient’s PHR who has been diagnosed with chronic diseases of obstructive respiratory system.

Item Type: Conference or Workshop Item (Paper)
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Divisions: Faculty of Information and Communication Technologies
Depositing User: Prof. d-r. Andrijana Bocevska
Date Deposited: 31 Aug 2022 13:58
Last Modified: 31 Aug 2022 13:58
URI: http://eprints.uklo.edu.mk/id/eprint/7068

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