title: When a "wheeze" is not a wheeze: acoustic analysis of breath sounds in infants.
abstract: Epidemiological studies indicate that the prevalence of "wheeze" is very high in early childhood. However, it is clear that parents and clinicians frequently use the term "wheeze" for a range of audible respiratory noises. The commonest audible sounds originating from the lower airways in infancy are ruttles, which differ from classical wheeze in that the sound is much lower in pitch, with a continuous rattling quality and lacking any musical features. The aim of this study was to clearly differentiate wheeze and ruttles objectively using acoustic analysis. Lung sounds were recorded in 15 infants, seven with wheeze and eight with ruttles, using a small sensitive piezoelectric accelerometer, and information relating to the respiratory cycle was obtained using inductive plethysmography. The acoustic signals were analysed using a fast fourier transformation technique (Respiratory Acoustics Laboratory Environment programme). The acoustic properties of the two noises were shown to be quite distinct, the classical wheeze being characterized by a sinusoidal waveform with one or more distinct peaks in the power spectrum display; the ruttle is represented by an irregular nonsinusoidal waveform with diffuse peaks in the power spectrum and with increased sound intensity at a frequency of <600 Hz. It is important for clinicians and epidemiologists to recognize that there are distinct types of audible respiratory noise in early life with characteristic acoustic properties.
authors: Paediatric Respiratory Unit, Sheffield Children's Hospital, Western Bank, UK.
authors: H E
authors: HE
authors: Elphick
authors: S
authors: S
authors: Ritson
authors: H
authors: H
authors: Rodgers
authors: M L
authors: ML
authors: Everard
mesh_terms: D005583:Fourier Analysis; D006801:Humans; D007223:Infant; D010991:Plethysmography; D012135:Respiratory Sounds; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography / Q000295:instrumentation; D018709:Statistics, Nonparametric