Dysphagia diagnosis system with integrated speech analysis from throat vibration
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference44 articles.
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1. Novel Approach Combining Shallow Learning and Ensemble Learning for the Automated Detection of Swallowing Sounds in a Clinical Database;Sensors;2024-05-11
2. Multi-Band Speech Tensor Decomposition for Interactive Feature Extraction in Early Dysphagia Screening;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
3. Exploring the Impact of Mismatch Conditions, Noisy Backgrounds, and Speaker Health on Convolutional Autoencoder-Based Speaker Recognition System with Limited Dataset;ICST Transactions on Scalable Information Systems;2024-04-09
4. A Knowledge-based Decision Support System for recommending safe recipes to individuals with dysphagia;Computers in Biology and Medicine;2024-03
5. Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia;IEEE Journal of Biomedical and Health Informatics;2023-02
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