Abstract: Discussed herein are an apparatus and a corresponding method for classifying a murmur detected in a heart signal as a Still's murmur. Circuitry included in the apparatus segments a heart signal to detect a first lobe (S1) and a second lobe (S2) of the heart signal. Further, the circuitry computes a spectral width of an extracted feature of the heart signal that lies in a portion of a time interval between the S1 lobe and the S2 lobe based on an estimated power spectral density. Additionally, a peak frequency of the extracted feature of the heart signal and a shape of an envelope of the extracted feature of the heart signal are computed. The extracted feature of the heart signal is classified as the Still's murmur based on the spectral width, the peak frequency, the shape of the envelop, and additional murmur discriminant features.

Abstract: Discussed herein are an apparatus and a corresponding method for classifying a murmur detected in a heart signal as a Still's murmur. Circuitry included in the apparatus segments a heart signal to detect a first lobe (S1) and a second lobe (S2) of the heart signal. Further, the circuitry computes a spectral width of an extracted feature of the heart signal that lies in a portion of a time interval between the S1 lobe and the S2 lobe based on an estimated power spectral density. Additionally, a peak frequency of the extracted feature of the heart signal and a shape of an envelope of the extracted feature of the heart signal are computed. The extracted feature of the heart signal is classified as the Still's murmur based on the spectral width, the peak frequency, the shape of the envelop, and additional murmur discriminant features.