Adaptive filter application for the safety of detecting lung sound on ambulance

摘要

This study presented the application of the adaptive filter to reduce the interference of the sound of sirens (audible warnings) of the ambulance. The auscultation of respiration on the ambulance is usually different from that in clinic room. The environmental noise is much larger on the ambulance, especially, the sound from audible warnings. However, this study simulated the filtering effects of the adaptive filter for the lung sound auscultation on the ambulance. The results showed that the harmonics of the audible warning were completely cancelled, and the component of fundamental frequency of that was reduced from -30dB to -60dB. The adaptive filter is a signal processing algorithm in time domain. Therefore, it is very potential to develop to be a real-time noise cancellation device for the auscultation on the ambulances.