Adaptive lightweight acoustic signal classification for physiological monitoring

摘要

The present invention provides adaptive lightweight acoustic signal classification for physiological monitoring applications. In an exemplary implementation, the total energy of a segment of an acoustic signal recording body sounds is first determined. For each of a plurality of signal classes (e.g., good, noisy, weak), the probability that the segment belongs to the signal class is then calculated using the total energy and profile data for the signal class. The segment is then assigned to one of the plurality of signal classes by reference to the probabilities. Physiological data are then selectively generated and outputted using the segment, depending on the assigned signal class, and the segment is selectively applied as feedback to update profile data for the assigned signal class.

主权项

1. A physiological monitoring device, comprising:
a sound capture system adapted to detect body sounds and generate an acoustic signal representing the body sounds, the sound capture system including a sound transducer positioned on a body, an amplifier, a filter, an analog-to-digital converter and automatic gain control; an acoustic signal processing system operatively coupled with the capture system and adapted to determine a total energy of a segment of the signal, calculate for each of a plurality of signal classes a probability that the segment belongs to the signal class based at least in part on the total energy and profile data for the signal class, and assign the segment to one of the plurality of signal classes based at least in part on the probabilities; and a physiological data output system operatively coupled with the processing system and adapted to selectively output, depending on the assigned signal class, physiological data based at least in part on the segment, wherein in response to assigning the segment to a good class, the output system outputs physiological data based at least in part on the segment.