Observational studyJournal of clinical monitoring and computing2019
Tracheal sounds accurately detect apnea in patients recovering from anesthesia.
Observational study in Journal of clinical monitoring and computing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 13 citations in OpenAlex.
- Isfahan Artificial Intelligence Event 2024, Challenge I: Respiratory Depression Detection.Journal of medical signals and sensors · 2026Article
- Tracheal sound-based apnea detection using hidden Markov model in sedated volunteers and post anesthesia care unit patients.Journal of clinical monitoring and computing · 2023Article
- Journal of Clinical Monitoring and Computing 2018-2019 end of year summary: respiration.Journal of clinical monitoring and computing · 2020Review
- Adaptive Filtering Improved Apnea Detection Performance Using Tracheal Sounds in Noisy Environment: A Simulation Study.BioMed research international · 2020Article
- The Analysis of How Apnea Influences the Autonomic Nervous System Using Short-Term Heart Rate Variability Indices.Journal of healthcare engineering · 2020Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
Abstract
Apnea should be monitored continuously in the post anesthesia care unit (PACU) to avoid serious complications. It has been confirmed that tracheal sounds can be used to detect apnea during sedation in healthy subjects, but the performance of this acoustic method has not been evaluated in patients with frequent apnea events in the PACU. Tracheal sounds were acquired from the patients in the PACU using a microphone encased in a plastic bell. Concurrently, a processed nasal pressure signal was used as a reference standard to identify real respiratory events. The logarithm of the tracheal sound variance (log-var) was used to detect apnea, and the results were compared to the reference method. Sensitivity, specificity, positive likelihood ratios (PLR), and negative likelihood ratios (NLR) were calculated. One hundred and twenty-one patients aged 55.5 ± 13.2 years (mean ± SD) with a body mass index of 24.6 ± 3.7 kg/m
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.