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Development of a Program for Analytical Systems of Personal Diagnostics of People and Animals Based on the Piezoelectric Sensors Array

Authors:
Ruslan Umarkhanov
Tatiana Kuchmenko
Ivan Murakhovsky
Daria Kuchmenko

Keywords: Java; non-invasive diagnostics; screening; sensors; metabolism; eHealth.

Abstract:
Modern methods of analytical chemistry are based on the measurement and processing of two- up to multidimensional signals. Multidimensional analytical signals include the responses of multisensory systems, such as artificial “nose, tongue, eyes”. The purpose of this work is to develop software for personal diagnostic devices “electronic nose” with the possibility of clinical diagnosis of humans and animals by easily renewable selected biosamples. A program has been developed as a native Android application written in a high-level Java language, designed to interact with the electronic nose device. For the analysis of signals received from an array of 8 sensors, two algorithms have been developed. Analysis of the measurement is carried out on a complete data matrix which is generated when registering sensor signals over the skin of a person’s hand or over a biosample. When processing the output data of the sensor, the most informative parameters about the health state of the body, individual organs and systems are obtained. Based on these parameters, visual smell traces are constructed by the sensor signals. The developed software personalizes the diagnosis of the health state of the human or animal using multisensory systems like electronic nose, and displays information in an understandable form to an untrained user. This makes it possible to use such devices for personal purposes, on small farms, therefore, to prevent the development of complex diseases, the death of livestock, and to improve the quality of life.

Pages: 132 to 134

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-763-4

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020