The global prevalence of oropharyngeal dysphagia in different populations: a systematic review and meta-analysis
Background Oropharyngeal dysphagia (OD) refers to any abnormality in the physiology of
swallowing in the upper gastrointestinal tract, which leads to the related clinical …
swallowing in the upper gastrointestinal tract, which leads to the related clinical …
[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: systematic literature review
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …
physiological systems, which makes the voice sensitive to changes. Any systematic …
A fully integrated, standalone stretchable device platform with in-sensor adaptive machine learning for rehabilitation
Post-surgical treatments of the human throat often require continuous monitoring of diverse
vital and muscle activities. However, wireless, continuous monitoring and analysis of these …
vital and muscle activities. However, wireless, continuous monitoring and analysis of these …
Oral and laryngeal diadochokinesis across the life span: A sco** review of methods, reference data, and clinical applications
RD Kent, Y Kim, L Chen - Journal of Speech, Language, and Hearing …, 2022 - pubs.asha.org
Purpose: The aim of this study was to conduct a sco** review of research on oral and
laryngeal diadochokinesis (DDK) in children and adults, either typically …
laryngeal diadochokinesis (DDK) in children and adults, either typically …
Non-invasive way to diagnose dysphagia by training deep learning model with voice spectrograms
Background and objective Patients with dysphagia show changes in articulation and voice
quality, and recent studies using machine learning models have been employed to help in …
quality, and recent studies using machine learning models have been employed to help in …
Exploring the role of machine learning in diagnosing and treating speech disorders: A systematic literature review
Purpose Speech disorders profoundly impact the overall quality of life by impeding social
operations and hindering effective communication. This study addresses the gap in …
operations and hindering effective communication. This study addresses the gap in …
Pilot study: Magnetic motion analysis for swallowing detection using MEMS cantilever actuators
The swallowing process involves complex muscle coordination mechanisms. When
alterations in such mechanisms are produced by neurological conditions or diseases, a …
alterations in such mechanisms are produced by neurological conditions or diseases, a …
Machine-learning assisted swallowing assessment: a deep learning-based quality improvement tool to screen for post-stroke dysphagia
Introduction Post-stroke dysphagia is common and associated with significant morbidity and
mortality, rendering bedside screening of significant clinical importance. Using voice as a …
mortality, rendering bedside screening of significant clinical importance. Using voice as a …
Post-stroke respiratory complications using machine learning with voice features from mobile devices
HY Park, DG Park, HS Kang, HB Kim, S Lee, S Im - Scientific Reports, 2022 - nature.com
Abnormal voice may identify those at risk of post-stroke aspiration. This study was aimed to
determine whether machine learning algorithms with voice recorded via a mobile device can …
determine whether machine learning algorithms with voice recorded via a mobile device can …
Prediction of dysphagia aspiration through machine learning-based analysis of patients' postprandial voices
Background Conventional diagnostic methods for dysphagia have limitations such as long
wait times, radiation risks, and restricted evaluation. Therefore, voice-based diagnostic and …
wait times, radiation risks, and restricted evaluation. Therefore, voice-based diagnostic and …