AIMC Topic: Deglutition Disorders

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The robot can break bars with the best of them: a novel approach to treating cricopharyngeal bars with myotomy.

Surgical endoscopy Sep 13, 2023
INTRODUCTION: Failure of the cricopharyngeus to relax results in oropharyngeal dysphagia, which over time results in hypertrophy and increased risk for aspiration. Open myotomy is one definitive treatment option, however there are several drawbacks a...
Humans Retrospective Studies Female Robotics Deglutition Disorders Esophageal Diseases Myotomy Aged Adult Male
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Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia.

IEEE journal of biomedical and health informatics Feb 3, 2023
Dysphagia occurs secondary to a variety of underlying etiologies and can contribute to increased risk of adverse events such as aspiration pneumonia and premature mortality. Dysphagia is primarily diagnosed and characterized by instrumental swallowin...
Deglutition ROC Curve Fluoroscopy Deglutition Disorders Humans Deep Learning
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Deep Learning for Automatic Hyoid Tracking in Videofluoroscopic Swallow Studies.

Dysphagia Apr 28, 2022
The hyoid bone excursion is one of the most important gauges of larynx elevation in swallowing, contributing to airway protection and bolus passage into the esophagus. However, the implications of various parameters of hyoid bone excursion, such as t...
Deep Learning Humans Fluoroscopy Reproducibility of Results Deglutition Disorders Deglutition Hyoid Bone
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Deep Learning Analysis to Automatically Detect the Presence of Penetration or Aspiration in Videofluoroscopic Swallowing Study.

Journal of Korean medical science Feb 14, 2022
BACKGROUND: Videofluoroscopic swallowing study (VFSS) is currently considered the gold standard to precisely diagnose and quantitatively investigate dysphagia. However, VFSS interpretation is complex and requires consideration of several factors. The...
Aged, 80 and over Male Middle Aged Deep Learning Humans Female Aged Deglutition Fluoroscopy Video Recording Deglutition Disorders
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A Machine Learning-Based Screening Test for Sarcopenic Dysphagia Using Image Recognition.

Nutrients Nov 10, 2021
BACKGROUND: Sarcopenic dysphagia, a swallowing disorder caused by sarcopenia, is prevalent in older patients and can cause malnutrition and aspiration pneumonia. This study aimed to develop a simple screening test using image recognition with a low r...
Deglutition Disorders Mental Recall Pneumonia, Aspiration Recognition, Psychology Diagnostic Imaging Malnutrition Japan Female Aged Aged, 80 and over Body Mass Index Sarcopenia Humans Machine Learning Cross-Sectional Studies Algorithms Male
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Automatic Hyoid Bone Tracking in Real-Time Ultrasound Swallowing Videos Using Deep Learning Based and Correlation Filter Based Trackers.

Sensors (Basel, Switzerland) May 26, 2021
(1) Background: Ultrasound provides a radiation-free and portable method for assessing swallowing. Hyoid bone locations and displacements are often used as important indicators for the evaluation of swallowing disorders. However, this requires clinic...
Deglutition Disorders Deglutition Hyoid Bone Deep Learning Humans Fluoroscopy
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RoSE: A Robotic Soft Esophagus for Endoprosthetic Stent Testing.

Soft robotics Aug 4, 2020
Soft robotic systems are well suited for developing devices for biomedical applications. A bio-mimicking robotic soft esophagus (RoSE) is developed as an testing device of endoprosthetic stents for dysphagia management. Endoprosthetic stent placemen...
Robotics Robotic Surgical Procedures Stents Deglutition Disorders Humans
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Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings.

Scientific reports May 26, 2020
High resolution cervical auscultation is a very promising noninvasive method for dysphagia screening and aspiration detection, as it does not involve the use of harmful ionizing radiation approaches. Automatic extraction of swallowing events in cervi...
Aged Male Humans Female Deglutition Disorders Middle Aged Auscultation Deglutition Deep Learning Signal Processing, Computer-Assisted
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Development of a Novel Prognostic Model to Predict 6-Month Swallowing Recovery After Ischemic Stroke.

Stroke Dec 30, 2019
Background and Purpose- The aim of this study was to explore clinical and radiological prognostic factors for long-term swallowing recovery in patients with poststroke dysphagia and to develop and validate a prognostic model using a machine learning ...
Basal Ganglia Brain Stem Internal Capsule Deglutition Disorders White Matter Enteral Nutrition Reproducibility of Results Proportional Hazards Models Humans Aged Multivariate Analysis Fluoroscopy Male Machine Learning Cerebral Cortex Stroke Algorithms Middle Aged Sex Factors Prognosis Magnetic Resonance Imaging Female Brain Ischemia Recovery of Function
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Predicting the Swallow-Related Quality of Life of the Elderly Living in a Local Community Using Support Vector Machine.

International journal of environmental research and public health Nov 3, 2019
This study developed a support vector machine (SVM) algorithm-based prediction model with considering influence factors associated with the swallowing quality-of-life as the predictor variables and provided baseline information for enhancing the swa...
Male Aged Humans Quality of Life Deglutition Disorders Republic of Korea Aged, 80 and over Support Vector Machine Deglutition Female Cross-Sectional Studies
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