Development of an Algorithm to Denoise HFNO-generated Tracheal Sound
- Conditions
- Sedation, ConsciousEndoscopy, Gastrointestinal
- Interventions
- Device: High flow nasal oxygen fistDevice: High flow nasal oxygen later
- Registration Number
- NCT06218017
- Lead Sponsor
- National Taiwan University Hospital
- Brief Summary
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.
- Detailed 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.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 60
- Adult patients undergoing elective gastroinestinal endoscoy requiring deep sedation
- 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 & Design
- Study Type
- INTERVENTIONAL
- Study Design
- CROSSOVER
- Arm && Interventions
Group Intervention Description HFNO first High flow nasal oxygen fist This study follows a crossover design employing a randomized controlled methodology. Patients undergoing gastrointestinal endoscopy and receiving deep sedation were monitored using electronic tracheal sound auscultation. Within this group, patients first underwent a 10-minute session of high-flow nasal oxygen (50 L/min) followed by the utilization of the standard low-flow nasal oxygen (4 L/min). Electronic tracheal sound recordings were obtained during both the high-flow and low-flow nasal oxygen administrations. The aim is to develop an algorithm capable of mitigating the noise generated specifically by the high-flow nasal oxygen. HFNO later High flow nasal oxygen later This study follows a crossover design employing a randomized controlled methodology. Patients undergoing gastrointestinal endoscopy and receiving deep sedation were monitored using electronic tracheal sound auscultation. Within this group, patients first underwent a 10-minute session of standard low-flow nasal oxygen (4 L/min) followed by the utilization of the high-flow nasal oxygen (50 L/min). Electronic tracheal sound recordings were obtained during both the high-flow and low-flow nasal oxygen administrations. The aim is to develop an algorithm capable of mitigating the noise generated specifically by the high-flow nasal oxygen
- Primary Outcome Measures
Name Time Method Tracheal sound with and without high-flow nasal oxygen will be measured to develop an algorithm to mitigate the high flow nasal oxygen-generated tracheal noise 20-30 minutes We aim to develop an algorithm capable of mitigating the noise generated specifically by the high-flow nasal oxygen based on recording the tracheal sound of patients undergoing gastrointestinal endoscopy in deep sedation with and without high flow nasal oxygen
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
National Tawain University Hospital Hsinchu branch
🇨🇳Hsinchu, Taiwan