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Content available remote Wykorzystanie technologii GLAD do zastosowań w przenośnych analizatorach oddechu
PL
W pracy przedstawione zostały najważniejsze parametry technologii osadzania pod kątem GLAD (ang. Glancing Angle Deposition) z wykorzystaniem magnetronowego rozpylania jonowego w celu wytwarzania półprzewodnikowych, rezystancyjnych czujników gazów przeznaczonych do zastosowania w układach elektronicznego nosa (ang. e-nose) do analizy wydychanego powietrza.
EN
In this paper, the major parameters of the GLAD (Glancing Angle Deposition) technique with the utilization of the magnetron sputtering technology were presented. The GLAD technology was applied to deposition of resistive, semiconductor type gas sensors that will be applied to electronic nose (e-nose) for exhaled breath analysis in a portable device.
EN
The paper presents results of investigations of basic material properties of novel composites based on silicone resin and carbon nanotubes as a filler. The motivation for the research is a need for materials which provide better mechanical properties than standard wet Ag/AgCl electrodes. However, a critical issue is also obtaining defined electrical characteristics in order to preserve an ability to effectively record biomedical signals such as electrocardiography (ECG). Within the introduction chapter, related researches and the current state-of-the-art in the context of dry electrodes technology were described. In the next step technological aspects of components processing and forming as well as the morphology of substrates used in the research were presented. Thermally-cured silicone resin was utilized to obtain elastic properties of the resulting material. The carbon nanotubes (CNT) were chosen as a conductive medium which provides defined electrical impedance. A developed technological process allowed to deliver samples of reproducible structure and properties. In the next chapter, methods and results of conducted experiments involving electrical, mechanical and thermal examination were presented. Finally, achieved outcomes are promising in the context of improvements of the designed composite. Especially the conductivity below 100 Ohms constitutes a significant motivation for further research in the field of dry electrodes for biosignals acquisition.
EN
The auscultation technique has been widely used in medicine as a screening examination for ages. Nowadays, advanced electronics and effective computational methods aim to support the healthcare sector by providing dedicated solutions which help physicians and support diagnostic process. In this paper, we propose a machine learning approach for the analysis of heart sounds. We used the spectral analysis of acoustic signal to calculate feature vectors and tested a set of machine learning approaches to provide the most effective detection of cardiac disorders. Finally, we achieved 91% of sensitivity and 99% of positive predictivity for a designed algorithm based on convolutional neural network.
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