Artificial Neural Network-Based Model to Characterize the Reverberation Time of a Neonatal Incubator

Puyana-Romero, Virginia; Tamayo-Guamán, Lender Michael; Núñez-Solano, Daniel; Hernández-Molina, Ricardo; Ciaburro, Giuseppe

doi:10.1007/978-3-031-40688-1_14

Studies in Big Data

2023

DOI: 10.1007/978-3-031-40688-1_14

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Artificial Neural Network-Based Model to Characterize the Reverberation Time of a Neonatal Incubator

Virginia Puyana-Romero,

Lender Michael Tamayo-Guamán,

Daniel Núñez-Solano

et al.

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2024

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Cited by 1 publication

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Silent Neonatal Incubators, Prototype NICA+

Hernández-Molina,

Puyana-Romero,

Beira-Jiménez

et al. 2024

Preprint

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Purpose The purpose of this study was to evaluate and compare the noise levels in current incubator models and a prototype designed to improve acoustic comfort in neonatal incubators.Methods The study conducted tests on three different incubator models and a prototype called "Neonatal Incubator Acoustic Comfort Class (NICA+)." The tests measured both internal and external sound pressure levels in laboratory conditions. The prototype was developed through collaboration between the Acoustic Engineering laboratory, the robotics/electronics group, and the Industrial Design research group at the Higher School of Engineering, University of Cádiz.Conclusion The results obtained from the prototype (NICA+) show the effectiveness of the design proposal in improving acoustic comfort in neonatal incubators. The data show that the noise levels generated by the prototype, under normal operating conditions, are significantly lower than international recommendations.

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Silent Neonatal Incubators, Prototype NICA+

Hernández-Molina,

Puyana-Romero,

Beira-Jiménez

et al. 2024

Preprint

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Artificial Neural Network-Based Model to Characterize the Reverberation Time of a Neonatal Incubator

Cited by 1 publication

References 55 publications

Silent Neonatal Incubators, Prototype NICA+

Silent Neonatal Incubators, Prototype NICA+

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