ArticleClinical and experimental dental research2022
Real-time assessment of swallowing sound using an electronic stethoscope and an artificial intelligence system.
Article in Clinical and experimental dental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Diagnostic Accuracy of Cervical Auscultation for Aspiration Detection in Adult Dysphagia: Implications for FEES Prioritization.Laryngoscope investigative otolaryngology · 2026Article
- Enhancing the assessment of deglutition function in preterm infants with mechano-acoustic analysis and machine learning: a narrative review.Perspectives of the ASHA special interest groups · 2026Article
- Digital health technologies in swallowing care from screening to rehabilitation: A narrative review.Auris, nasus, larynx · 2025Review
- Investigation of the improvement of swallowing function with low-frequency pulse waves or interference waves delivered via cervical electrical stimulation in patients with Parkinson's disease: A randomized controlled study protocol.Contemporary clinical trials communications · 2025Article
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- Age-defying swallowing.Frontiers in aging · 2025Review
- Novel Approach Combining Shallow Learning and Ensemble Learning for the Automated Detection of Swallowing Sounds in a Clinical Database.Sensors (Basel, Switzerland) · 2024Article
- Impact of neck percutaneous interferential current sensory stimulation on swallowing function in patients with Parkinson's disease: A single-arm, open-label study protocol.Contemporary clinical trials communications · 2023Article
- Swallowing sound evaluation using an electronic stethoscope and artificial intelligence analysis for patients with amyotrophic lateral sclerosis.Frontiers in neurology · 2023Article
- Real-time assessment of swallowing sound using an electronic stethoscope and an artificial intelligence system.Clinical and experimental dental research · 2022Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesDaily assessments of swallowing function and interventions such as rehabilitation and dietary adjustments are necessary to improve dysphagia. Cervical auscultation is convenient for health care providers for assessing swallowing ability. Although this method allows for swallowing sound evaluations, sensory evaluations with this method are difficult. Thus, we aimed to assess swallowing sound by the combined use of an electronic stethoscope and an artificial intelligence (AI) system that incorporates sound recognition. MATERIAL AND
methodsHerein, 20 fifth-year dentistry student volunteers were included; each participant was drank 10 ml and then 20 ml of water in different positions (sitting and supine). We developed an algorithm for indexing bolus inflow sounds using AI, which compared the swallowing sounds and created a new index.
resultsThe new index value used for swallowing sound was significantly higher in men than in women and in the sitting position than in the supine position. A software for acoustic analysis confirmed that the swallowing index was significantly higher in men than in women as well as in the sitting position than in the supine position. These results were similar to those obtained using the new index. However, the new index substantially differed between sexes in terms of posture compared with effective sound pressure.
conclusionsWe developed a new algorithm for indexing swallowing sounds using a stethoscope and an AI system, which could identify swallowing sounds. For future research and development, evaluations of patients with dysphagia are necessary to determine the efficacy of the new index for bedside screening of swallowing conditions.
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