Campo DC | Valor | Lengua/Idioma |
dc.contributor.author | Del Orbe, Dionisio V. | - |
dc.contributor.author | Park, Hyung Ju | - |
dc.contributor.author | Kwack, Myung-Joon | - |
dc.contributor.author | Lee, Hyung-Kun | - |
dc.contributor.author | Kim, Do Yeob | - |
dc.contributor.author | Lim, Jung Gweon | - |
dc.contributor.author | Park, Inkyu | - |
dc.contributor.author | Sohn, Minji | - |
dc.contributor.author | Lim, Soo | - |
dc.contributor.author | Lee, Dae-Sik | - |
dc.date.accessioned | 2022-09-30T00:54:51Z | - |
dc.date.available | 2022-09-30T00:54:51Z | - |
dc.date.issued | 2022-10 | - |
dc.identifier.citation | Orbe, Dionisio & Park, Hyung & Kwack, Myung-Joon & Lee, Hyung Kun & Kim, Do Yeob & Lim, Jung & Park, Inkyu & Sohn, Minji & Lim, Soo & Le, Dae-Sik. (2022). Breath analyzer for personalized monitoring of exercise-induced metabolic fat burning. Sensors and Actuators B: Chemical. 369. https://doi.org/10.1016/j.snb.2022.132192 | en_US |
dc.identifier.issn | 0925-4005 | - |
dc.identifier.uri | http://repositorio.unapec.edu.do/handle/123456789/892 | - |
dc.description | Dionisio V. Del Orbe recibió su Licenciatura en Ingeniería Aeronáutica de la Universidad de Western Michigan (2012), EE. UU., y una Maestría en Ingeniería de Manufactura Microelectrónica del Instituto de Tecnología de Rochester (2015), EE. UU. Recibió su doctorado en Ingeniería Mecánica KAIST (2022), Corea del Sur, y trabajó como investigador de posgrado en el Departamento de Investigación de TIC Médicas y de Bienestar en ETRI, Corea del Sur. Su investigación se centra en sensores de gases químicos para diversas aplicaciones, especialmente, análisis de aliento y detección de gases tóxicos/inflamables; también tiene intereses en dispositivos portátiles y flexibles. Actualmente, es docente e investigador en UNAPEC, República Dominicana. | en_US |
dc.description.abstract | Obesity increases the risk of chronic diseases, such as type 2 diabetes mellitus, dyslipidemia, and cardiovascular
diseases. Simple anthropometric measurements have time limitations in reflecting short-term weight and body
fat changes. Thus, for detecting, losing or maintaining weight in short term, it is desirable to develop portable/
compact devices to monitor exercise-induced fat burn in real time. Exhaled breath acetone and blood-borne
β-hydroxybutyric acid (BOHB) are both correlated biomarkers of the metabolic fat burning process that takes
place in the liver, predominantly post-exercise. Here, we have fabricated a compact breath analyzer for
convenient, noninvasive and personalized estimation of fat burning in real time in a highly automated manner.
The analyzer collects end-tidal breath in a standardized, user-friendly manner and it is equipped with an array of
four low-power MEMS sensors for enhanced accuracy; this device presents a combination of required and
desirable design features in modern portable/compact breath analyzers. We analyzed the exhaled breath (with
our analyzer) and the blood samples (for BOHB) in 20 participants after exercise; we estimated the values of
BOHB, as indication of the fat burn, resulting in Pearson coefficient r between the actual and predicted BOHB of
0.8. The estimation uses the responses from the sensor array in our analyzer and demographic and anthropo-
metric information from the participants as inputs to a machine learning algorithm. The system and approach
herein may help guide regular exercise for weight loss and its maintenance based on individuals’ own metabolic
changes. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Sensors and Actuators B: Chemical | en_US |
dc.subject | Breath analyzer | en_US |
dc.subject | Low-power chemiresistive sensor | en_US |
dc.subject | Sensor array | en_US |
dc.subject | Physical exercise | en_US |
dc.subject | Metabolic fat burning monitoring | en_US |
dc.subject | Recurrent neural network | en_US |
dc.title | Breath analyzer for personalized monitoring of exercise-induced metabolic fat burning | en_US |
dc.type | Article | en_US |
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