Markov Processes for the Prediction of Aircraft Noise Effects on Sleep

Basner, Mathias; Siebert, Uwe

doi:10.1177/0272989x09342751

Cited by 6 publications

(6 citation statements)

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“…The assessment of annoyance following noise-induced sleep disturbances is based on the remembered and consciously experienced times awake and difficulties when falling asleep. The majority of awakenings lasted for one epoch (15 to 45 s) and, therefore, was too short to be remembered the next day (Basner and Siebert, 2006). However, single awakenings were longer and, therefore, could be associated with the occurrence of waking consciousness.…”

Section: Discussionmentioning

confidence: 99%

Nocturnal air, road, and rail traffic noise and daytime cognitive performance and annoyance

Elmenhorst

Quehl

Müller

et al. 2014

The Journal of the Acoustical Society of America

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Various studies indicate that at the same noise level and during the daytime, annoyance increases in the order of rail, road, and aircraft noise. The present study investigates if the same ranking can be found for annoyance to nocturnal exposure and next day cognitive performance. Annoyance ratings and performance change during combined noise exposure were also tested. In the laboratory 72 participants were exposed to air, road, or rail traffic noise and all combinations. The number of noise events and LAS,eq were kept constant. Each morning noise annoyance questionnaires and performance tasks were administered. Aircraft noise annoyance ranked first followed by railway and road noise. A possible explanation is the longer duration of aircraft noise events used in this study compared to road and railway noise events. In contrast to road and rail traffic, aircraft noise annoyance was higher after nights with combined exposure. Pooled noise exposure data showed small but significant impairments in reaction times (6 ms) compared to nights without noise. The noise sources did not have a differential impact on performance. Combined exposure to multiple traffic noise sources did not induce stronger impairments than a single noise source. This was reflected also in low workload ratings.

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Section: Discussionmentioning

confidence: 99%

Nocturnal air, road, and rail traffic noise and daytime cognitive performance and annoyance

Elmenhorst

Quehl

Müller

et al. 2014

The Journal of the Acoustical Society of America

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“…In future efforts, improvements to mixed epoch classification accuracy and sleep state episode consolidation could potentially be achieved by incorporating Markov model sleep-state transition likelihoods (Basner and Siebert, 2010; Kemp and Kamphuisen, 1986) into the classification decision or by identifying conditions in which there may be a mixed epoch and flagging it for subsequent manual review.…”

Section: Discussionmentioning

confidence: 99%

Automated determination of wakefulness and sleep in rats based on non-invasively acquired measures of movement and respiratory activity

Zeng¹,

Mott²,

Mollicone³

et al. 2012

Journal of Neuroscience Methods

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The current standard for monitoring sleep in rats requires labor intensive surgical procedures and the implantation of chronic electrodes which have the potential to impact behavior and sleep. With the goal of developing a non-invasive method to determine sleep and wakefulness, we constructed a non-contact monitoring system to measure movement and respiratory activity using signals acquired with pulse Doppler radar and from digitized video analysis. A set of 23 frequency and time-domain features were derived from these signals and were calculated in 10 s epochs. Based on these features, a classification method for automated scoring of wakefulness, non-rapid eye movement sleep (NREM) and REM in rats was developed using a support vector machine (SVM). We then assessed the utility of the automated scoring system in discriminating wakefulness and sleep by comparing the results to standard scoring of wakefulness and sleep based on concurrently recorded EEG and EMG. Agreement between SVM automated scoring based on selected features and visual scores based on EEG and EMG were approximately 91% for wakefulness, 84% for NREM and 70% for REM. The results indicate that automated scoring based on non-invasively acquired movement and respiratory activity will be useful for studies requiring discrimination of wakefulness and sleep. However, additional information or signals will be needed to improve discrimination of NREM and REM episodes within sleep.

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“…[53] However, there are more complex models which are irrespective of the momentary sleep stage, capable of predicting total sleep structure based on the number and timing of aircraft noise events. [54,55] Dose-response relationships based on event-related analyses are presented below.…”

Section: Event-related Analysismentioning

confidence: 99%

“…Generally air traffic during shoulder hours should be part of protection concepts, at least at airports with substantial amount of air traffic during shoulder hours. [54,55,65] …”

Section: Traffic Curfewsmentioning

confidence: 99%

“…[53,70] Non-independence of noise events may, depending on the noise pattern, lead to increases or decreases of whole night sleep disturbance levels. More complex models taking these interactions into account already exist, [50,54,55] but their validity still has to be established. Also, dose-response curves are usually based on the average response in the investigated population.…”

Section: (B) Bedtime Covered By Curfews With 8 (Red) 7 (Blue) 6 (Grmentioning

confidence: 99%

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Aircraft noise effects on sleep: Mechanisms, mitigation and research needs

2010

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There is an ample number of laboratory and field studies which provide sufficient evidence that aircraft noise disturbs sleep and, depending on traffic volume and noise levels, may impair behavior and well-being during the day. Although clinical sleep disorders have been shown to be associated with increased risk of cardiovascular diseases, only little is known about the long-term effects of aircraft noise disturbed sleep on health. National and international laws and guidelines try to limit aircraft noise exposure facilitating active and passive noise control to prevent relevant sleep disturbances and its consequences. Adopting the harmonized indicator of the European Union Directive 2002/49/EC, the WHO Night Noise Guideline for Europe (NNG) defines four Lnight , outside ranges associated with different risk levels of sleep disturbance and other health effects ( < 30, 30-40, 40-55, and> 55 dBA). Although traffic patterns differing in number and noise levels of events that lead to varying degrees of sleep disturbance may result in the same Lnight , simulations of nights with up to 200 aircraft noise events per night nicely corroborate expert opinion guidelines formulated in WHO's NNG. In the future, large scale field studies on the effects of nocturnal (aircraft) noise on sleep are needed. They should involve representative samples of the population including vulnerable groups like children and chronically ill subjects. Optimally, these studies are prospective in nature and examine the long-term consequences of noise-induced sleep disturbances. Furthermore, epidemiological case-control studies on the association of nocturnal (aircraft) noise exposure and cardiovascular disease are needed. Despite the existing gaps in knowledge on long-term health effects, sufficient data are available for defining limit values, guidelines and protection concepts, which should be updated with the availability of new data.

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Markov Processes for the Prediction of Aircraft Noise Effects on Sleep

Abstract: According to the decision analysis, it is unlikely that the proposed curfew at Frankfurt Airport substantially benefits sleep structure. Extensions of the model could be used to evaluate or propose alternative air traffic regulation strategies for Frankfurt Airport.

Cited by 6 publications

References 31 publications

Nocturnal air, road, and rail traffic noise and daytime cognitive performance and annoyance

Nocturnal air, road, and rail traffic noise and daytime cognitive performance and annoyance

Automated determination of wakefulness and sleep in rats based on non-invasively acquired measures of movement and respiratory activity

Aircraft noise effects on sleep: Mechanisms, mitigation and research needs

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