Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

Spectra and spectrograms of wheezes in lung sounds.

(a) Spectrum 1: Fast Fourier transform (FFT) frame, 0.682–1.054 s; (b) Spectrum 2: FFT frame, 0.700–1.072 s; (c) Spectrum 3: FFT frame, 0.718–1.090 s; (d) Spectrum 4: FFT frame, 0.736–1.108 s.

More »

Fig 1 Expand

Fig 2.

Flowchart of the newly developed wheeze recognition algorithm for children.

More »

Fig 2 Expand

Table 1.

Participant characteristics.

More »

Table 1 Expand

Table 2.

Classification of sounds in all recorded sound files.

More »

Table 2 Expand

Table 3.

Number of local maximum points of wheeze sounds in all recorded sounds.

More »

Table 3 Expand

Fig 3.

Consecutive maximum values detected on a spectrogram in step 4 of a newly developed wheeze recognition algorithm for children.

More »

Fig 3 Expand

Table 4.

Results per file obtained using the newly developed wheeze recognition algorithm for children.

More »

Table 4 Expand

Fig 4.

Automatic discrimination of wheezes from other sounds using the newly developed wheeze detection algorithm for children.

More »

Fig 4 Expand