Assessing energy efficiency and the application of artificial neural networks in wearable sensors using electrical impedance tomography

• Autorzy: Mazurek Mariusz , Dziadosz Marcin , Rymarczyk Tomasz , Wójcik Dariusz , Gryniewicz-Jaworska Michalina , Słoniec Jolanta

Identyfikatory

DOI

10.12913/22998624/207679

• Języki publikacji: EN

Abstrakty

EN

Electrical Impedance Tomography (EIT) is a non-invasive imaging technique increasingly applied in biomedical diagnostics. Traditionally, EIT systems are stationary and require specialist knowledge to operate and interpret results. This study presents the development and evaluation of an innovative wearable EIT device designed for real-time monitoring of bladder function. The system enables visualization of bladder filling levels and is intended to support patients suffering from lower urinary tract dysfunctions. The device is designed for future integration with a mobile application that will inform users about urinary incontinence episodes and bladder status. A key component of the system is the implementation of an image reconstruction framework based on machine learning algorithms. Three models were evaluated—Decision Tree, Elastic Net, and a Neural Network (NNET)—with a focus on optimizing accuracy, computational efficiency, and energy consumption. The results demonstrate that the NNET model offers superior reconstruction quality and the lowest prediction time, making it the most suitable for wearable medical applications. The proposed solution is based on a process model incorporating an optimization procedure essential for device control and energy-efficient operation.

Słowa kluczowe

EN

energy efficiency; optimization; quality of experience; electrical impedance tomography; sensors; image reconstruction; non-invasive medical monitoring

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2025
• Tom: Vol. 19, no. 9
• Strony: 317--332
• Opis fizyczny: Bibliogr. 38 poz., fig., tab.

Twórcy

autor

Mazurek Mariusz

• Institute of Philosophy and Sociology of the Polish Academy of Science, ul. Nowy Świat 72, 00-330 Warsaw, Poland

• https://orcid.org/0000-0002-9646-6897

autor

Dziadosz Marcin

• Lublin University of Technology, ul. Nadbystrzycka 38D, 20-618 Lublin, Poland

• https://orcid.org/0000-0002-0506-6653

autor

Rymarczyk Tomasz

• WSEI University, ul. Projektowa 4, 20-209 Lublin, Poland
• Research & Development Centre Netrix S.A., ul. Związkowa 26, 20-704 Lublin, Poland

• https://orcid.org/0000-0002-0506-6653

autor

Wójcik Dariusz

• WSEI University, ul. Projektowa 4, 20-209 Lublin, Poland
• Research & Development Centre Netrix S.A., ul. Związkowa 26, 20-704 Lublin, Poland

• https://orcid.org/0000-0002-4200-3432

autor

Gryniewicz-Jaworska Michalina

• WSEI University, ul. Projektowa 4, 20-209 Lublin, Poland

• https://orcid.org/0000-0001-5862-5749

autor

Słoniec Jolanta

• Lublin University of Technology, ul. Nadbystrzycka 38D, 20-618 Lublin, Poland

• https://orcid.org/0000-0002-8869-5059

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