通过深度学习技术评估重症监护室的声学噪声

IF 1.7 4区 物理与天体物理 Acoustics Australia Pub Date : 2024-04-22 DOI:10.1007/s40857-024-00321-3
Awwab Qasim Jumaah Althahab, Branislav Vuksanovic, Mohamed Al-Mosawi, Hongjie Ma
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引用次数: 0

摘要

重症监护室(ICU)的噪声是一个关键问题,但往往被忽视,影响着病人的康复和医护人员的健康。现有的研究主要依赖昂贵的声级计来监测噪声水平,而声级计无法确定和区分噪声源的特征。本研究采用深度神经网络来检测 ICU 噪音事件并对其进行分类,从而提高了声源识别能力。我们设计了一套经济高效的基于物联网的音频记录和监测系统,并将其部署在三间重症监护室进行数据收集。论文中描述的声学事件分类系统集成了用于事件检测的卷积神经网络,然后通过聚类来隔离噪声源。结果表明,分类准确,在所有重症监护室中,语音都是主要的噪声源。该模型为描述典型重症监护室的声源特征提供了宝贵的见解,这可能是解决重症监护室噪音过大问题的第一步,也是该领域进一步研究的起点。
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Assessing the Acoustic Noise in Intensive Care Units via Deep Learning Technique

Intensive care unit (ICU) noise is a critical and often overlooked issue, impacting patient recovery and healthcare staff well-being. Existing research primarily relies on costly sound level meters for monitoring noise levels, where the characteristics of noise sources cannot be determined and discriminated. This study employs deep neural networks to detect and classify ICU noise events, enhancing source identification. A cost-effective internet of things-based audio recording and monitoring system has been designed and deployed in three ICUs for data collection. The acoustic event classification system described in the paper integrates convolutional neural networks for event detection, followed by clustering to isolate noise sources. Results demonstrate precise classification, with speech identified as a major contributor in all ICUs. This model offers valuable insights for characterising acoustic sources in typical ICUs, which could be the first step towards tackling the problem of excessive noise in ICUs as well as a starting point for further research in this area.

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来源期刊
Acoustics Australia
Acoustics Australia ACOUSTICS-
自引率
5.90%
发文量
24
期刊介绍: Acoustics Australia, the journal of the Australian Acoustical Society, has been publishing high quality research and technical papers in all areas of acoustics since commencement in 1972. The target audience for the journal includes both researchers and practitioners. It aims to publish papers and technical notes that are relevant to current acoustics and of interest to members of the Society. These include but are not limited to: Architectural and Building Acoustics, Environmental Noise, Underwater Acoustics, Engineering Noise and Vibration Control, Occupational Noise Management, Hearing, Musical Acoustics.
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