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 wh...

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Vydané v:2017 Internet Technologies and Applications (ITA) s. 204 - 208
Hlavní autori: Sokol, Yevgen, Shchapov, Pavel, Tomashevskyi, Roman, Veligorskyi, Oleksandr, Picking, Richard, Chakirov, Roustiam
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.09.2017
Predmet:
biological object
Blood
Cancer
cancer cells detection
Cells (biology)
Dispersion
dynamic experiment
Electrodes
factor load
Immune system
information parameter
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Abstract 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.
AbstractList 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.
Author Chakirov, Roustiam
Picking, Richard
Veligorskyi, Oleksandr
Tomashevskyi, Roman
Sokol, Yevgen
Shchapov, Pavel
Author_xml – sequence: 1
  givenname: Yevgen
  surname: Sokol
  fullname: Sokol, Yevgen
  organization: Dept. of Ind. & Biomed. Electron., Nat. Tech. Univ. "Kharkiv Politechnical Inst.", Kharkiv, Ukraine
– sequence: 2
  givenname: Pavel
  surname: Shchapov
  fullname: Shchapov, Pavel
  organization: Dept. of Ind. & Biomed. Electron., Nat. Tech. Univ. "Kharkiv Politechnical Inst.", Kharkiv, Ukraine
– sequence: 3
  givenname: Roman
  surname: Tomashevskyi
  fullname: Tomashevskyi, Roman
  organization: Dept. of Ind. & Biomed. Electron., Nat. Tech. Univ. "Kharkiv Politechnical Inst.", Kharkiv, Ukraine
– sequence: 4
  givenname: Oleksandr
  surname: Veligorskyi
  fullname: Veligorskyi, Oleksandr
  organization: Dept. of Biomed. Radioelectron. Apparatus & Syst., Chernihiv Nat. Univ. of Technol., Chernihiv, Ukraine
– sequence: 5
  givenname: Richard
  surname: Picking
  fullname: Picking, Richard
  organization: Sch. of Appl. Sci., Glyndwr Univ., Wrexham, UK
– sequence: 6
  givenname: Roustiam
  surname: Chakirov
  fullname: Chakirov, Roustiam
  organization: Dept. of Electr. & Mech. Eng., Bonn-Rhein-Sieg Univ. of Appl. Sci., St. Augustin, Germany
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Snippet This paper discusses an approach of the abnormal condition detection of whole blood using piezo-synthetic effects in blood under dynamic external pressure....
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StartPage 204
SubjectTerms biological object
Blood
Cancer
cancer cells detection
Cells (biology)
Dispersion
dynamic experiment
Electrodes
factor load
Immune system
information parameter
Title Data analysis of random blood measurements for abnormal condition detection
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