ArticleDysphagia2014
Automated acoustic analysis in detection of spontaneous swallows in Parkinson's disease.
Article in Dysphagia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Respiratory-Swallow Coordination in Individuals with Parkinson's Disease: A Systematic Review and Meta-Analysis.Journal of Parkinson's disease · 2023Pooled it
- Diagnostic validity of methods for assessment of swallowing sounds: a systematic review.Brazilian journal of otorhinolaryngologyPooled it
- Technology to remotely capture key elements of swallowing and speech: State of the science in Parkinson's disease.Journal of Parkinson's disease · 2026Review
- Artificial Piezoelectric Interface Enables Ultrafast Interfacial Ion Kinetic for Highly-Sensitive Piezoionic Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- An intelligent quantitative analysis software for videofluoroscopic swallowing study in patients with dysphagia.Quantitative imaging in medicine and surgery · 2025Article
- Validation and Interpretation of the Persian Version of the Swallowing Disturbance Questionnaire in Patients with Multiple Sclerosis.NeuroSci · 2025Article
- Novel Approach Combining Shallow Learning and Ensemble Learning for the Automated Detection of Swallowing Sounds in a Clinical Database.Sensors (Basel, Switzerland) · 2024Article
- Feasibility study of the Nox-T3 device to detect swallowing and respiration pattern in neurologically impaired patients in the acute phase.Scientific reports · 2023Article
- Automatic Detection and Analysis of Swallowing Sounds in Healthy Subjects and in Patients with Pharyngolaryngeal Cancer.Dysphagia · 2021Article
- Automatic Detection of the Pharyngeal Phase in Raw Videos for the Videofluoroscopic Swallowing Study Using Efficient Data Collection and 3D Convolutional NetworksSensors (Basel, Switzerland) · 2019Article
- High-Resolution Cervical Auscultation Signal Features Reflect Vertical and Horizontal Displacements of the Hyoid Bone During Swallowing.IEEE journal of translational engineering in health and medicine · 2019Article
- Evaluation of normal swallowing functions by using dynamic high-density surface electromyography maps.Biomedical engineering online · 2017Article
- A noninvasive swallowing measurement system using a combination of respiratory flow, swallowing sound, and laryngeal motion.Medical & biological engineering & computing · 2017Article
- Article
- Development of a portable non-invasive swallowing and respiration assessment device.Sensors (Basel, Switzerland) · 2015Article
- Validation of the persian translation of the swallowing disturbance questionnaire in Parkinson's disease patients.Parkinson's disease · 2014Article
- Isfahan MISP Dataset.Journal of medical signals and sensorsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acoustic monitoring of swallow frequency has become important as the frequency of spontaneous swallowing can be an index for dysphagia and related complications. In addition, it can be employed as an objective quantification of ingestive behavior. Commonly, swallowing complications are manually detected using videofluoroscopy recordings, which require expensive equipment and exposure to radiation. In this study, a noninvasive automated technique is proposed that uses breath and swallowing recordings obtained via a microphone located over the laryngopharynx. Nonlinear diffusion filters were used in which a scale-space decomposition of recorded sound at different levels extract swallows from breath sounds and artifacts. This technique was compared to manual detection of swallows using acoustic signals on a sample of 34 subjects with Parkinson's disease. A speech language pathologist identified five subjects who showed aspiration during the videofluoroscopic swallowing study. The proposed automated method identified swallows with a sensitivity of 86.67 %, a specificity of 77.50 %, and an accuracy of 82.35 %. These results indicate the validity of automated acoustic recognition of swallowing as a fast and efficient approach to objectively estimate spontaneous swallow frequency.
Indexed as
Identifiers
24958599What OpenQuestion holds
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.