Human Fatty Liver Volume Measurement Device using Nano Graphene Polyvinyl Sensor

In this paper, Human fatty liver volume is measured using the proposed Human Fatty Liver (HFL) device. HFL device consist of Nano Graphene Polyvinyl (NGP) sensor and Node MCU microcontroller. NGP sensor acquires the electromagnetic radiations from fatty liver, which arise due to dielectric materials...

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Veröffentlicht in:IEEE sensors journal 2023-10, Vol.23 (20), p.1-1
Hauptverfasser: Srilekha, M.K., Deepa, S.N., Shanker, N.R., Priya, M.
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Sprache:eng
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Zusammenfassung:In this paper, Human fatty liver volume is measured using the proposed Human Fatty Liver (HFL) device. HFL device consist of Nano Graphene Polyvinyl (NGP) sensor and Node MCU microcontroller. NGP sensor acquires the electromagnetic radiations from fatty liver, which arise due to dielectric materials in fat. Continuous monitoring of fatty liver volume through various medical imaging instruments leads to frequent exposure of radiation. HFL device is used for monitoring the fatty liver diseases like other continuous monitoring devices such as diabetes, hemoglobin and blood pressure for effective diagnosis and treatment of liver diseases. In HFL device, NGP sensor is fabricated using spray pyrolysis method. NGP sensor consist of different materials such as nano graphene, Poly acrylic acid, Methylnbisacrylamide (MBAAm), 2,2-dimethoxy-2-phenyl acetophenone (DMPAP) Poly vinyl acetate. NGP sensor is fixed on the human liver surface and acquires scattering dielectric radiation from liver. The acquired signal is processed with Non-negative Matrix Filter blind source separation for removal of random motion noise and extracts fatty liver signals. From the filtered fatty liver signal, instantaneous frequency is obtained through MSST. Furthermore, fatty liver volume is measured through instantaneous frequency and Gaussian Regression model. HFL device based fatty liver volume measurement is validated through fatty liver ultrasound images-based volume measurement and provides an accuracy of about 85%.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2023.3308769