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Development of an Algorithm to Denoise HFNO-generated Tracheal Sound

Development of an Algorithm to Denoise HFNO-generated Tracheal Sound

Recruiting
18 years and older
All
Phase N/A

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Overview

This study aims to develop an algorithm to mitigate the noise generated by the high-flow nasal oxygen system for tracheal sound monitoring in deeply sedated patients.

Description

During deep sedation without intubation, anesthesia respiratory care and monitoring are of utmost importance. Anesthesia can lead to adverse respiratory effects, increasing the risk of airway obstruction and respiratory depression. High-flow nasal oxygen (HFNO) systems are often used to mitigate these risks. Monitoring tracheal breathing sounds directly using amplification provides better detection accuracy. However, traditional auscultation instruments have limitations, including noise interference and lack of visual functionality. The Airmod Smart Respiratory Monitoring System, with FDA approval in the United States and Taiwan, addresses these issues. It offers respiratory sound recording, noise filtering, event logging, and respiratory rate analysis. Currently, no digital stethoscope on the market can filter out HFNO noise. Therefore, the current study is to develop an algorithm to mitigate the noise generated by the high-flow nasal oxygen system for tracheal sound monitoring in deeply sedated patients.

Eligibility

Inclusion Criteria:

  • Adult patients undergoing elective gastroinestinal endoscoy requiring deep sedation

Exclusion Criteria:

  • Histories of sleep apnea, chronic obstructive pulmonary disease, or oropharyngeal tumor
  • Patient who has a hisotry of previous intraoral surgery, tracheal surgery or pulmonary resection surgery

Study details
    Endoscopy
    Gastrointestinal
    Sedation
    Conscious

NCT06218017

National Taiwan University Hospital

29 January 2024

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