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Nafisi, Vahid Reza, Eghbal, Manouchehr, Torbati, Nasim. (1402). Conceptual Design of a Device for Online Calibration of Spirometer Based on Neural Network. سامانه مدیریت نشریات علمی, 13(3), 291-296. doi: 10.31661/jbpe.v0i0.1038
Vahid Reza Nafisi; Manouchehr Eghbal; Nasim Torbati. "Conceptual Design of a Device for Online Calibration of Spirometer Based on Neural Network". سامانه مدیریت نشریات علمی, 13, 3, 1402, 291-296. doi: 10.31661/jbpe.v0i0.1038
Nafisi, Vahid Reza, Eghbal, Manouchehr, Torbati, Nasim. (1402). 'Conceptual Design of a Device for Online Calibration of Spirometer Based on Neural Network', سامانه مدیریت نشریات علمی, 13(3), pp. 291-296. doi: 10.31661/jbpe.v0i0.1038
Nafisi, Vahid Reza, Eghbal, Manouchehr, Torbati, Nasim. Conceptual Design of a Device for Online Calibration of Spirometer Based on Neural Network. سامانه مدیریت نشریات علمی, 1402; 13(3): 291-296. doi: 10.31661/jbpe.v0i0.1038

Conceptual Design of a Device for Online Calibration of Spirometer Based on Neural Network

Journal of Biomedical Physics and Engineering
دوره 13، شماره 3، مرداد و شهریور 2023، صفحه 291-296    اصل مقاله (798.08 K)
نوع مقاله: Technical Note
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.1038
نویسندگان
Vahid Reza Nafisi* 1؛ Manouchehr Eghbal1؛ Nasim Torbati2
1Biomedical engineering group, Department of Electrical & Information Technology, Iranian Research Organization for Science and Technology, Tehran, Iran
2Food and Drug Administration, Ministry of Health and Medical Education, Tehran, Iran
چکیده
Daily calibration of spirometry devices plays an important role in promoting the accuracy of pulmonary diagnostic results. It is needed to have more precise and adequate instruments for calibrating spirometry during the clinical use. In this work, a device was designed and developed based on a calibrated-volume syringe and an electrical circuit was also built to measure the air flux. Some colored tapes with specific size and order covered the syringe piston. When the piston moved in front of the color sensor, the input air flow was calculated according to the width of the strips and transferred to the computer. A Radial Basis Function (RBF) neural network estimator used new data to modify the previous estimation function for increasing the accuracy and the reliability. The simulation showed that the root mean square of the error improved from 13.7±0.37% to 4.2±0.22%, i.e. the calibration curve has improved about 70%.
 
کلیدواژه‌ها
Spirometry؛ Calibration؛ Artificial Intelligence؛ Neural Network Model؛ Color Sensor
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مراجع
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