Disclosed is a device,
system and method for detecting and monitoring abnormalities in
soft tissue based on acoustic signals transmitted through the
soft tissue. The device includes a
pressure sensor configured to sense pressure applied to a location of
soft tissue by the device; and an acoustic generator configured to generate and emit an acoustic
signal comprising a range of frequency components into the location of soft tissue when the pressure sensed by the
pressure sensor exceeds a threshold pressure, an
acoustic sensor configured to detect an acoustic
signal produced from the interaction of the emitted acoustic
signal with the soft tissue and to convert the detected signal to an audio
data signal; and a
transceiver configured to transmit the audio
data signal to an external computing device. The
system comprises the device and the external computing device. The external computing device is configured to receive the audio
data signal from the device; and determine, using a
machine learning model trained on a sample dataset of labelled audio data signals, a classification for the received audio data signal based on its frequency content indicating whether or not the respective location of soft tissue exhibits an
abnormality.