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Data analysis of random blood measurements for abnormal condition detection

  • This paper discusses an approach of the abnormal condition detection of whole blood using piezo-synthetic effects in blood under dynamic external pressure. Three groups of samples having verified chemical and biological conditions were analysed to prove reliable detection: saline, whole blood and whole blood with colorectal cancer as an example of abnormal conditions. The procedure of a discrete differentiation process for obtained experimental data has been proposed as preliminary processing. Three information parameters have been selected to describe experimental data. Fischer F-statistics were used to determine the information content of the proposed information parameters. It has been proved that the proposed information parameters react on changing state of object under test and therefore can be effectively used for the abnormal condition detection.

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Metadaten
Document Type:Conference Object
Language:English
Author:Yevgen Sokol, Pavel Shchapov, Roman Tomashevskyi, Oleksandr Veligorskyi, Richard Picking, Roustiam Chakirov
Parent Title (English):Picking, Cunningham et al. (Eds.): 2017 Internet Technologies and Applications (ITA), 12-15 September 2017, Wrexham, Wales, UK
First Page:204
Last Page:208
ISBN:978-1-5090-4815-1
DOI:https://doi.org/10.1109/ITECHA.2017.8101939
Publisher:IEEE
Date of first publication:2017/11/09
Tag:biological object; cancer cells detection; dynamic experiment; factor load; information parameter
Departments, institutes and facilities:Fachbereich Elektrotechnik, Maschinenbau, Technikjournalismus
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Entry in this database:2017/11/17