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External Perspective of Lung Airflow Model Through Diaphragm Breathing Sensor Using Fiber Optic Elastic Belt


Affiliations
1 Department of Physics, Mathematics and Natural Sciences, Universitas Riau, Pekanbaru, 28293,
2 Department of Physics Education, Teacher Traning and Education, Universitas Riau, Pekanbaru, 28293,
3 Department of Informatics Engineering, Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim, Pekanbaru, 28293,
4 Research Center of Physics, National Research and Innovation Agency PUSPIPTEK Serpong, South Tangerang, 15314,

Optical fiber-based detector technology is highly appreciated and developed in the field of medical physics. Through its fiber-optic wave pattern performance, this detector has great potential for monitoring difficult-to-calculate parameters such as airflow in the lungs. To realize this reality, a theoretical and experimental approach is needed in this research. The lung tissue model was formed using the Navier-Stokes equation using the finite element method by taking into account the continuity and momentum equations. While experimentally, single-mode fiber and fiber Bragg grating (FBG) was installed with a sinusoidal macro bending pattern as a strain sensor which was applied to the elastic belt and mounted on the diaphragm. The simulation model carried out depicts the velocity of air moving from the pulmonary duct to increase as it flows into smaller branches. While the experimental results show that the detected power parameter is a maximum of -0.16 dBm during inhalation and a minimum of -0.19 dBm during expiration. Due to the bending approach, the FBG sensor belt obtained the highest sensitivity at a sinusoidal bending diameter of 0.8 cm. Therefore, this is good news as a more accurate detector approach for medical purposes.
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Abstract Views: 157




  • External Perspective of Lung Airflow Model Through Diaphragm Breathing Sensor Using Fiber Optic Elastic Belt

Abstract Views: 157  | 

Authors

Defrianto Defrianto
Department of Physics, Mathematics and Natural Sciences, Universitas Riau, Pekanbaru, 28293,
Toto Saktioto
Department of Physics, Mathematics and Natural Sciences, Universitas Riau, Pekanbaru, 28293,
Nurfi Hikma
Department of Physics, Mathematics and Natural Sciences, Universitas Riau, Pekanbaru, 28293,
Yan Soerbakti
Department of Physics, Mathematics and Natural Sciences, Universitas Riau, Pekanbaru, 28293,
Dedi Irawan
Department of Physics Education, Teacher Traning and Education, Universitas Riau, Pekanbaru, 28293,
Okfalisa Okfalisa
Department of Informatics Engineering, Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim, Pekanbaru, 28293,
Bambang Widiyatmoko
Research Center of Physics, National Research and Innovation Agency PUSPIPTEK Serpong, South Tangerang, 15314,
Dwi Hanto
Research Center of Physics, National Research and Innovation Agency PUSPIPTEK Serpong, South Tangerang, 15314,

Abstract


Optical fiber-based detector technology is highly appreciated and developed in the field of medical physics. Through its fiber-optic wave pattern performance, this detector has great potential for monitoring difficult-to-calculate parameters such as airflow in the lungs. To realize this reality, a theoretical and experimental approach is needed in this research. The lung tissue model was formed using the Navier-Stokes equation using the finite element method by taking into account the continuity and momentum equations. While experimentally, single-mode fiber and fiber Bragg grating (FBG) was installed with a sinusoidal macro bending pattern as a strain sensor which was applied to the elastic belt and mounted on the diaphragm. The simulation model carried out depicts the velocity of air moving from the pulmonary duct to increase as it flows into smaller branches. While the experimental results show that the detected power parameter is a maximum of -0.16 dBm during inhalation and a minimum of -0.19 dBm during expiration. Due to the bending approach, the FBG sensor belt obtained the highest sensitivity at a sinusoidal bending diameter of 0.8 cm. Therefore, this is good news as a more accurate detector approach for medical purposes.