Acoustic analysis of infantile stridor: A review |
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Authors: | M Malone N D Black M Lydon M Cinnamond |
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Institution: | (1) Department of Electrical and Electronic Engineering, University of Ulster at Jordanstown, Newtonabbey, Co., BT37 0QB Antrim, Northern Ireland, UK;(2) Department of Medicine, The Queen's University of Belfast, University Road, BT7 1NN Belfast, Northern Ireland, UK |
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Abstract: | The review compares five methods that utilise electronic/computer acoustic processing techniques for the analysis of infantile
stridor sounds. The first method uses traditional spectrographic techniques to produce time/frequency/intensity three-dimensional
representation of the waveform. The second method is computer-based and uses the fast Fourier transformation (FFT) to show
the frequency composition of the waveform. The third uses linear prediction coefficients (LPCs) to produce a power spectrum
and inverse filtering to estimate the cross-sectional area of the human upper airway. The fourth technique employs a proprietary
digital filterbank to analyse normal infant vocalisations, which may be used as a control by subsequent researchers. In the
fifth method, a physiologically based digital filterbank, designed to closely model the human ear response, is proposed. It
is envisaged that this approach will offer the flexibility of all the previous techniques and also closely model the analysis
procedure carried out using subjective auscultation. It is concluded that none of the above techniques are sufficiently robust
to provide unambiguous diagnosis of stridor type and that a reappraisal is required in terms of feature extraction so that
relevant features can be identified. To this end, the authors propose that a physiologically based model of the human airway,
including the vocal cords, be developed as an aid to the assessment of acoustic features. |
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Keywords: | Digital filtering Signal processing Stridor |
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