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How does the pitch and pattern of a signal affect auditory arousal thresholds?

Bruck, Dorothy and Thomas, Ian and Rouillard, Vincent (2009) How does the pitch and pattern of a signal affect auditory arousal thresholds? Journal of Sleep Research, 18 (2). pp. 196-203. ISSN 0962-1105

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Abstract

How arousal thresholds vary with different sounds is a critical issue for emergency awakenings, especially as sleepers are dying in fires despite having a working smoke alarm. Previous research shows that the current high pitched (3000+ Hz) smoke alarm signal is significantly less effective than an alternative signal, the 520 Hz square wave, in all populations tested. However, as the number of sounds tested has been small further research is needed. Here we measured auditory arousal thresholds (AATs) across signals with a range of characteristics to determine the most effective waking signal. Thirty nine young adults participated over three nights. In Part A, nine signals were presented in stage 4 sleep with ascending decibel levels. Signals were short beeps in the low to mid frequency range with different spectral complexities: square waves, pure tones, whoops and white noise. Part B manipulated temporal patterns, inserting silences of 0, 10 and 21 seconds after each 12 seconds of beeps. It was found that the low frequency (400 and 520 Hz) square waves yielded significantly lower AATs than the alternatives. A trend was found across the three temporal manipulations, with a 10 second intervening silence showing some advantage. These findings support earlier research indicating that the best sound for awakening from deep sleep is a low frequency square wave. It is argued that the signal with the lowest response threshold when awake may be the same as the most arousing signal when asleep, especially where the sleeper processes the signal as meaningful.

Item Type: Article
Uncontrolled Keywords: auditory arousal, smoke alarms, wake thresholds, emergency signals
Subjects: RFCD Classification > 380000 Behavioural and Cognitive Sciences
RFCD Classification > 310000 Architecture, Urban Environment and Building
Faculty/School/Research Centre/Department > Centre for Environmental Safety and Risk Engineering (CESARE)
Faculty/School/Research Centre/Department > School of Social Sciences and Psychology
Depositing User: Bingyan Gu
Date Deposited: 28 May 2009 14:08
Last Modified: 23 May 2013 16:41
URI: http://vuir.vu.edu.au/id/eprint/2059
DOI: 10.1111/j.1365-2869.2008.00710.x
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Citations in Scopus: 13 - View on Scopus

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