Real-time multi-class classification of respiratory diseases through dimensional data combinations

Y Kim, D Camacho, C Choi - Cognitive Computation, 2024 - Springer
In recent times, there has been active research on multi-disease classification that aim to
diagnose lung diseases and respiratory conditions using respiratory data. Recorded …

ConvLSNet: A lightweight architecture based on ConvLSTM model for the classification of pulmonary conditions using multichannel lung sound recordings

F Majzoobi, MB Khodabakhshi, S Jamasb… - Artificial Intelligence in …, 2024 - Elsevier
Abstract Characterization of lung sounds (LS) is indispensable for diagnosing respiratory
pathology. Although conventional neural networks (NNs) have been widely employed for the …

Rene: A Pre-trained Multi-modal Architecture for Auscultation of Respiratory Diseases

P Zhang, Z Zheng, S Zhang, M Yang, S Tang - arXiv preprint arXiv …, 2024 - arxiv.org
This study presents a novel methodology utilizing a pre-trained speech recognition model
for processing respiratory sound data. By incorporating medical record information, we …

Detection of Abnormal Respirations Considering the Occurrence Timing of Adventitious Sounds

M Yamashita - … 7th International Conference on Information and …, 2024 - ieeexplore.ieee.org
Adventitious sounds, abnormal lung noises, are heard in a person with pulmonary disease.
Thus, we aimed to automatically detect abnormal sounds from auscultatory sounds. For this …

Construction of Ergodic GMM-HMMs for Classification between Healthy Individuals and Patients Suffering from Pulmonary Disease

M Yamashita - IEICE TRANSACTIONS on Information and Systems, 2024 - search.ieice.org
Owing to the several cases wherein abnormal sounds, called adventitious sounds, are
included in the lung sounds of a patient suffering from pulmonary disease, the objective of …