96 citations · 111 across the 4 of their papers we have counts for
4 papers
Multi-path Convolutional Neural Networks Efficiently Improve Feature Extraction in Continuous Adventitious Lung Sound Detection
Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang +3
We previously established a large lung sound database, HF_Lung_V2 (Lung_V2). We trained convolutional-bidirectional gated recurrent unit (CNN-BiGRU) networks for detecting inhalati…
A Dual-Purpose Deep Learning Model for Auscultated Lung and Tracheal Sound Analysis Based on Mixed Set Training
Fu-Shun Hsu, Shang-Ran Huang, Chang-Fu Su +12
Many deep learning-based computerized respiratory sound analysis methods have previously been developed. However, these studies focus on either lung sound only or tracheal sound on…
An Update on a Progressively Expanded Database for Automated Lung Sound Analysis
Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang +5
Purpose: We previously established an open-access lung sound database, HF_Lung_V1, and developed deep learning models for inhalation, exhalation, continuous adventitious sound (CAS…
Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1
Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang +15
A reliable, remote, and continuous real-time respiratory sound monitor with automated respiratory sound analysis ability is urgently required in many clinical scenarios-such as in…