alexa Auscultation on the Ambulance: A Case Study of Adaptive Filter Application for the Safety of Detecting Lung Sound on the Ambulance
Biomedical Sciences

Biomedical Sciences

Journal of Bioengineering & Biomedical Science

Author(s): BingYuh Lu, MengLun Hsueh, HungWen Hung, HaiWu Lee, JunXian Yu

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This study investigates the priority of the auscultation on th e ambulance. On the point of physics view, the electrical noise cancellation is simpler than mechanical one . Therefore, the difficulties of the measur ement the physiological sounds are more t han that of physiological electrical signals. Therefore, the medical doct ors might practically consider th e priority of the emergent mea surement on the ambulance. This study presented the application of the traditional adaptive filter to reduce the interference of the sou nd of sirens (audible warnings) of the ambulance. The auscultation of respirat ion on the ambulance is usually di fferent from that in clinic room. The environmental noise is much larger on th e ambulance, especially, the sound from audibl e warnings. However, this study simulated the filtering effects of the adaptive filter for the lung sound ausc ultation on the ambulance. The results showed that the harmonic s of the audible warning were completely cancelled, and the component of fundamental frequency of that wa s reduced from -30 dB to -60 dB . We proposed a simple time-domain method to enhance the respir ation sound to support the higher quality auscultation information for medical doctors, and aimed at concurring the barriers to elevate the priority of the measurement on ambulance for meeting with the necessaries of medical diagnosis.

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This article was published in Journal of Electrical Engineering and referenced in Journal of Bioengineering & Biomedical Science

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