Digital stethoscope for detecting a respiratory abnormality and architectures thereof

A digital stethoscope for detection of a respiratory abnormality comprising:

• a microphone configured to detect an auditory signal;
• a field programmable gate array (FPGA), coupled to the microphone, configured to:
• receive, from the microphone, the auditory signal,
• generate an auditory spectrogram based on the auditory signal,
• perform a spatial convolution procedure on the auditory spectrogram to generate one or more convolution values, wherein the one or more convolution values represent a compressed version of a matrix portion of the auditory spectrogram, and wherein the spatial convolution procedure is trained to generate one or more features for detecting the respiratory abnormality,
• apply one or more weights to the one or more convolution values, wherein the one or more weights are trained for detection of the respiratory abnormality,
• generate a classification value based on applying the one or more weights to the one or more convolution values, wherein the classification value indicates the auditory signal includes the respiratory abnormality, and
• transmit the classification value to a display unit for outputting the classification value;
• and
• the display unit, coupled to the FPGA, configured to display the classification value.