ArticleJournal of neuroengineering and rehabilitation2016
A statistical analysis of cervical auscultation signals from adults with unsafe airway protection.
Article in Journal of neuroengineering and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04468191 (Quantifying Fatigue of the Respiratory and Swallowing Musculature in Patients With Amyotrophic Lateral Sclerosis), which is not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Quantifying Fatigue of the Respiratory and Swallowing Musculature in Patients With Amyotrophic Lateral Sclerosis
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic validity of methods for assessment of swallowing sounds: a systematic review.Brazilian journal of otorhinolaryngologyPooled it
- The Influence of Liquid Consistency and Food Texture on Swallowing: A Systematic Review Update.Dysphagia · 2026Review
- Effects of different levels of food on the acoustic characteristics of swallowing sounds in healthy older people.BMC geriatrics · 2026Article
- Using Machine Learning for the Automated Segmentation and Detection of Swallows Obtained by Digital Cervical Auscultation in Preterm Neonates.Dysphagia · 2026Article
- Conformal Swallowing Accelerometry: Reimagining the Acquisition and Characterization of Swallowing Mechano-Acoustic Signals.Sensors (Basel, Switzerland) · 2025Article
- Respiratory-swallow assessment protocol for adult dysphagia management.BMC research notes · 2025Article
- Acoustic and Perceptual Profiles of Swallowing Sounds in Preterm Neonates: A Cross-Sectional Study Cohort.Dysphagia · 2025Article
- Non-invasive integrated swallowing kinematic analysis framework leveraging transformer-based multi-task neural networks.Computers in biology and medicine · 2025Article
- Novel Videographic-Free Framework for Tracking Anatomical Structures Using Swallowing Accelerometer Signals and Multi-task Transformers.Journal of healthcare informatics research · 2025Article
- Elevating Patient Care With Deep Learning: High-Resolution Cervical Auscultation Signals for Swallowing Kinematic Analysis in Nasogastric Tube Patients.IEEE journal of translational engineering in health and medicine · 2024Article
- Article
- Pilot Study: Magnetic Motion Analysis for Swallowing Detection Using MEMS Cantilever Actuators.Sensors (Basel, Switzerland) · 2023Article
- Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia.IEEE journal of biomedical and health informatics · 2023Article
- Non-Invasive Sensor-Based Estimation of Anterior-Posterior Upper Esophageal Sphincter Opening Maximal Distension.IEEE journal of translational engineering in health and medicine · 2023Article
- Article
- Improving Non-Invasive Aspiration Detection With Auxiliary Classifier Wasserstein Generative Adversarial Networks.IEEE journal of biomedical and health informatics · 2022Article
- A Preliminary Investigation of Similarities of High Resolution Cervical Auscultation Signals Between Thin Liquid Barium and Water Swallows.IEEE journal of translational engineering in health and medicine · 2022Article
- Assessment of cough in head and neck cancer patients at risk for dysphagia-An overview.Cancer reports (Hoboken, N.J.) · 2021Review
- Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation.IEEE journal of biomedical and health informatics · 2021Article
- Estimation of laryngeal closure duration during swallowing without invasive X-rays.Future generations computer systems : FGCS · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundAspiration, where food or liquid is allowed to enter the larynx during a swallow, is recognized as the most clinically salient feature of oropharyngeal dysphagia. This event can lead to short-term harm via airway obstruction or more long-term effects such as pneumonia. In order to non-invasively identify this event using high resolution cervical auscultation there is a need to characterize cervical auscultation signals from subjects with dysphagia who aspirate.
methodsIn this study, we collected swallowing sound and vibration data from 76 adults (50 men, 26 women, mean age 62) who underwent a routine videofluoroscopy swallowing examination. The analysis was limited to swallows of liquid with either thin (<5 cps) or viscous (≈300 cps) consistency and was divided into those with deep laryngeal penetration or aspiration (unsafe airway protection), and those with either shallow or no laryngeal penetration (safe airway protection), using a standardized scale. After calculating a selection of time, frequency, and time-frequency features for each swallow, the safe and unsafe categories were compared using Wilcoxon rank-sum statistical tests.
resultsOur analysis found that few of our chosen features varied in magnitude between safe and unsafe swallows with thin swallows demonstrating no statistical variation. We also supported our past findings with regard to the effects of sex and the presence or absence of stroke on cervical ausculation signals, but noticed certain discrepancies with regards to bolus viscosity.
conclusionsOverall, our results support the necessity of using multiple statistical features concurrently to identify laryngeal penetration of swallowed boluses in future work with high resolution cervical auscultation.
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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.