Influence of Gaussian White Noise on Medical Students’ Capacity to Accurately Identify Pulmonary Sounds

This study introduces a standardised simulation-based approach to investigate the effect of GWN on the accuracy of auscultation amongst medical students. Findings indicate that whilst CAS sounds are robust to background noise, the identification of NAS and DAS sounds can be compromised. The medium noise levels (SNR-40) of noise pollution had the greatest effect on the DAS lung sounds.

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Publication Details

Journal
Noise and Health
Published
2024-10-01
DOI
https://doi.org/10.4103/nah.nah_98_24
Primary Topic
Phonocardiography and Auscultation Techniques
Type
article
Field-Weighted Citation Impact
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article

Influence of Gaussian White Noise on Medical Students’ Capacity to Accurately Identify Pulmonary Sounds

Rūta Aliulytė, Renata Paukštaitienė, Albinas Naudžiūnas, Haroldas Razvadauskas et al.
Noise and Health
Phonocardiography and Auscultation Techniques
article

Influence of Gaussian White Noise on Medical Students’ Capacity to Accurately Identify Pulmonary Sounds

Rūta Aliulytė, Renata Paukštaitienė, Albinas Naudžiūnas, Haroldas Razvadauskas, Saulius Sadauskas, Jurgita Razvadauskienė, Martynas Aliulis
article en

Abstract

This study introduces a standardised simulation-based approach to investigate the effect of GWN on the accuracy of auscultation amongst medical students. Findings indicate that whilst CAS sounds are robust to background noise, the identification of NAS and DAS sounds can be compromised. The medium noise levels (SNR-40) of noise pollution had the greatest effect on the DAS lung sounds.

Noise and HealthVol. 26(123)
Lithuanian University of Health Sciences (LT), Vilnius University (LT)
Quality Education
Openalex Percentile: Top 56%
Phonocardiography and Auscultation Techniques
DOIOpen Access PDFOpenAlex
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Influence of Gaussian White Noise on Medical Students’ Capacity to Accurately Identify Pulmonary Sounds — Rūta Aliulytė, Renata Paukštaitienė, et al. · Noise and Health (2024) | TGRS Research Map | TGRS