Objective: We assessed the impact of a noise-reduction program in a pediatric operating theatre.
Background: Adverse effects from noise pollution in theatres have been demonstrated.
Methods: In 156 operations spatially resolved, sound levels were measured before and after a noise-reduction program on the basis of education, rules, and technical devices (Sound Ear). Surgical complications were recorded. The surgeon's biometric (saliva cortisol, electrodermal activity) and behavioral stress responses (questionnaires) were measured and correlated with mission protocols and individual noise sensitivity.
Results: Median noise levels in the control group versus the interventional group were reduced by -3 ± 3 dB(A) (63 vs 59 dB(A), P < 0.001) with a grossly decreased number of peaks greater than 70 dB(A) (Δn = -61/hour, P < 0.01). The intervention significantly reduced non-operation-related noise. The incidence of postoperative complications was significantly lower in patients of the intervention group (n = 10/56 vs 20/58 control; P < 0.05). "Responders," surgeons with an above-average noise sensitivity (correlation r = -0.6 for the work subscale of the NoiseQ questionnaire, P < 0.05), experienced improved intrateam communication, a decrease in disturbing conversations and sudden noise peaks (P < 0.05). Biometrically, the intervention decreased both the surgeon's pre- to postoperative rise in cortisol by approximately 20% and the surgeon's electrodermal potentials of greater than 15 μS, indicating severe stress by 60% (P > 0.05).
Conclusions: Spontaneous noise during pediatric operations attains the magnitude of a lawn mower and peaks resemble a passing truck. The sound intensity could be reduced by 50% by specific measures. This reduction was associated with a significantly lowered number of postoperative complications. The surgeon's benefits are idiosyncratic with "responders" experiencing marked improvements.
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http://dx.doi.org/10.1097/SLA.0000000000000253 | DOI Listing |
Front Neurosci
January 2025
Graduate Program in Electrical Engineering, Federal University of Pará - UFPA, Belém, Brazil.
Introduction: Wavelet thresholding techniques are crucial in mitigating noise in data communication and storage systems. In image processing, particularly in medical imaging like MRI, noise reduction is vital for improving visual quality and accurate analysis. While existing methods offer noise reduction, they often suffer from limitations like edge and texture loss, poor smoothness, and the need for manual parameter tuning.
View Article and Find Full Text PDFJ Cardiothorac Surg
January 2025
Department of Thyroid Breast Cardiothoracic & Vascular Surgery, Beibei District Hospital of Traditional Chinese Medicine, No. 380 Jiangjun Road, Beibei District, Chongqing, 400700, China.
Background: To evaluate the clinical diagnostic value of third-generation dual-source CT for pulmonary embolism, focusing on the optimization of dual-source CT scanning with dynamic reconstruction in acute pulmonary embolism (PE) and various imaging manifestations.
Methods: Eighty-two patients with pulmonary embolism were enrolled and randomly divided into standard CT angiography (SCTA) and dynamic CT angiography (DCTA). DCTA patients were divided into dynamic CT angiography arterial phase (DCTAa), time phase Angiography reconstruction (TMIP-CTA), and 4D noise reduction TMIP-CTA according to the image reconstruction.
Adv Sci (Weinh)
January 2025
Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Current sound-absorbing materials, reliant on nonrenewable resources, pose sustainability and disposal challenges. This study introduces a novel collagen-lignin sponge (CLS), a renewable biomass-based material that combines collagen's acoustic properties with lignin's structural benefits. CLSs demonstrate high porosity (>0.
View Article and Find Full Text PDFBMJ Open
December 2024
Department of Environmental and Occupational Health and Safety, College of Medicine and Health Science, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Objectives: This study was designed to assess occupational noise exposure levels, prevalence of temporary hearing loss and associated factors among textile industry workers in Amhara region, Ethiopia.
Design: An institution-based, cross-sectional study was conducted between June and July 2022. Participants were selected via a simple random sampling technique.
Comput Methods Programs Biomed
December 2024
CenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, Zhejiang, Hangzhou, China.
Background: Gastrointestinal (GI) diseases pose significant challenges for healthcare systems, largely due to the complexities involved in their detection and treatment. Despite the advancements in deep neural networks, their high computational demands hinder their practical use in clinical environments.
Objective: This study aims to address the computational inefficiencies of deep neural networks by proposing a lightweight model that integrates model compression techniques, ConvLSTM layers, and ConvNext Blocks, all optimized through Knowledge Distillation (KD).
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