Automated Cough Analysis with Convolutional Recurrent Neural Network
Chronic cough is associated with several respiratory diseases and is a significant burden on physical, social, and psychological health. Non-invasive, real-time, continuous, and quantitative monitoring tools are highly desired to assess cough severity, the effectiveness of treatment, and monitor dis...
        Saved in:
      
    
          | Main Authors: | Yiping Wang, Mustafaa Wahab, Tianqi Hong, Kyle Molinari, Gail M. Gauvreau, Ruth P. Cusack, Zhen Gao, Imran Satia, Qiyin Fang | 
|---|---|
| Format: | Article | 
| Language: | English | 
| Published: | MDPI AG
    
        2024-11-01 | 
| Series: | Bioengineering | 
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/11/11/1105 | 
| Tags: | Add Tag 
      No Tags, Be the first to tag this record!
   | 
Similar Items
- 
                
                    Cough in Children: Clinical Approach        
                          
 by: Banu Gülcan Öksüz
 Published: (2015-12-01)
- 
                
                    Performance evaluation of the smartphone-based AI cough monitoring app - Hyfe Cough Tracker against solicited respiratory sounds [version 2; peer review: 1 approved, 2 approved with reservations]        
                          
 by: Isabel Blavia, et al.
 Published: (2023-06-01)
- 
                
                    Disease burden, comorbidities and antecedents of chronic cough phenotypes in Australian adults        
                          
 by: S. Suresh, et al.
 Published: (2025-12-01)
- 
                
                    Effect of Different Doses of Ketamine on Fentanyl-Induced Cough        
                          
 by: Azim Honarmand, et al.
 Published: (2024-10-01)
- 
                
                    Pediatric Cough        
                          
 by: Santosh Kumar Swain, et al.
 Published: (2019-01-01)
 
       