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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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

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