EEG power spectral responses to wind farm compared with road traffic noise during sleep: A laboratory study

2021 ◽  
Author(s):  
Claire Dunbar ◽  
Peter Catcheside ◽  
Bastien Lechat ◽  
Kristy Hansen ◽  
Branko Zajamsek ◽  
...  
Keyword(s):  
Laboratory Study ◽  
Wind Farm ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Power Spectral ◽  
Eeg Power ◽  
Spectral Responses

scholarly journals P118 The prevalence of self-reported sleep difficulties in wind farm noise, urban road traffic noise and quiet rural exposure areas in South Australia

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A59-A60
Author(s):  
G Rawson ◽  
P Catcheside ◽  
B Zajamšek ◽  
K Hansen ◽  
L Lack ◽  
...  
Keyword(s):  
Rural Areas ◽  
Wind Farm ◽  
Road Traffic ◽  
Traffic Noise ◽  
South Australia ◽  
Computer Assisted ◽  
Road Traffic Noise ◽  
Related Factors ◽  
Telephone Interviews ◽  
Sleep Difficulties

Abstract Introduction The prevalence of sleep difficulties from wind farm noise (WFN) compared to road traffic noise (RTN) or other sources is unknown. This study investigated the prevalence, severity and source of sleep difficulties in WFN, RTN and quiet rural exposure areas. Methods Geographic sampling and computer assisted telephone interviews were used to evaluate sleep difficulties (falling or staying asleep, waking too early, or feeling unrefreshed) attributed to RTN, WFN or non-WFN and RTN related factors using 0–4 scales (none, mild, moderate, severe, very severe). Three groups were sampled; WFN exposed (n=38–84 in five 2 km bands <10 km from a wind farm; total 372), RTN exposed (n=87 <800 m from a busy road >50,000 vehicles/day) and quiet rural controls (n=83). Preliminary prevalence estimates and odds of moderate-to-very severe sleep difficulties attributed to RTN, WFN or other sources were evaluated. Results Few WFN exposed respondents attributed sleep difficulties to WFN (0.8%) compared to moderate-to-very severe difficulties from RTN (2.2%) or other sources (16.1%). Sleep difficulties were higher in RTN exposed (17.2%) compared to quiet (6% OR[95%CI] 4.1[1.3–13.0]) or WFN exposed (OR[95%CI] 9.5[3.9–23.3]) rural areas. Sleep difficulties attributed to other sources were not different between groups (Chi² p=0.054), but tended to be higher in urban RTN exposed residents (26.4%). Conclusions Preliminary findings do not support more prevalent sleep difficulties in WFN compared to RTN exposed or quiet rural area residents. Given low rates of WFN-attributed sleep difficulties, larger and/or more sensitive studies remain warranted to further clarify potential WFN effects on sleep.

Sleep disturbance by road traffic noise—A laboratory study on number of noise events

1990 ◽  
Vol 143 (1) ◽  
pp. 93-101 ◽  
Author(s):  
E. Öhström ◽  
R. Rylander
Keyword(s):  
Sleep Disturbance ◽  
Laboratory Study ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise

K-complexes are a sensitive marker of noise–related sensory processing during sleep: A pilot study

SLEEP ◽  
2021 ◽  
Author(s):  
Bastien Lechat ◽  
Kristy Hansen ◽  
Gorica Micic ◽  
Felix Decup ◽  
Claire Dunbar ◽  
...  
Keyword(s):  
Sensory Processing ◽  
Wind Farm ◽  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Noise Sensitivity ◽  
Road Traffic Noise ◽  
Occurrence Probability ◽  
Hearing Acuity ◽  
Sensitive Marker

Abstract Study Objectives The primary aim of this study was to examine dose-response relationships between sound pressure levels (SPLs) and K-complex occurrence probability for wind farm and road traffic noise. A secondary aim was to compare K-complex dose-responses to manually scored EEG arousals and awakenings. Methods Twenty-five participants underwent polysomnography recordings and noise exposure during sleep in a laboratory. Wind farm and road traffic noise recordings of 20-sec duration were played in random order at 6 SPLs between 33 - 48 dBA during established N2 or deeper sleep. Noise periods were separated with periods of 23 dBA background noise. K-complexes were scored using a validated algorithm. K-complex occurrence probability was compared between noise types controlling for noise SPL, subjective noise sensitivity and measured hearing acuity. Results Noise-induced K-complexes were observed in N2 sleep at SPLs as low as 33 dBA (Odds ratio, 33dBA vs 23 dBA, mean (95% confidence interval); 1.75 (1.16, 2.66)) and increased with SPL. EEG arousals and awakenings were only associated with noise above 39 dBA in N2 sleep. K-complexes were 2 times more likely to occur in response to noise than EEG arousals or awakenings. Subjective noise sensitivity and hearing acuity were associated with K-complex occurrence, but not arousal or awakening. Noise type did not detectably influence K-complexes, EEG arousals or awakening responses. Conclusion These findings support that K-complexes are a sensitive marker of sensory processing of environmental noise during sleep and that increased hearing acuity and decreased self-reported noise sensitivity increase K-complex probability.

scholarly journals Short-term annoyance reactions to stationary and time-varying wind turbine and road traffic noise: A laboratory study

2016 ◽  
Vol 139 (5) ◽  
pp. 2949-2963 ◽  
Author(s):  
Beat Schäffer ◽  
Sabine J. Schlittmeier ◽  
Reto Pieren ◽  
Kurt Heutschi ◽  
Mark Brink ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Laboratory Study ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Time Varying ◽  
Short Term

Road Traffic Noise Prediction Model

2012 ◽  
Vol 3 (4) ◽  
pp. 110-112
Author(s):  
Rahul Singh ◽  
◽  
Parveen Bawa ◽  
Ranjan Kumar Thakur
Keyword(s):  
Prediction Model ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Prediction

SPEED DISTRIBUTION INFLUENCE IN ROAD TRAFFIC NOISE PREDICTION

2013 ◽  
Vol 12 (3) ◽  
pp. 493-501 ◽  
Author(s):  
Gerardo Iannone ◽  
Claudio Guarnaccia ◽  
Joseph Quartieri
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Prediction ◽  
Speed Distribution

Road Traffic Noise Levels at Different Types of Residential Areas in Nibong Tebal, Penang

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Herni Halim ◽  
◽  
Nur Fatin Najiyah Hamid ◽  
Mohamad Firdaus Mahamad Yusob ◽  
Nur Atiqah Mohamad Nor ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Residential Areas ◽  
Noise Levels ◽  
Different Types
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