103 citations · 148 across the 5 of their papers we have counts for
5 papers
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies
Dat Ngo, Lam Pham, Huy Phan +2
This paper presents a deep learning system applied for detecting anomalies from respiratory sound recordings. Our system initially performs audio feature extraction using Continuou…
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies
Dat Ngo, Lam Pham, Huy Phan +3
This paper presents a deep learning system applied for detecting anomalies from respiratory sound recordings. Initially, our system begins with audio feature extraction using Gamma…
Audio-Based Deep Learning Frameworks for Detecting COVID-19
Dat Ngo, Lam Pham, Truong Hoang +2
This paper evaluates a wide range of audio-based deep learning frameworks applied to the breathing, cough, and speech sounds for detecting COVID-19. In general, the audio recording…
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning
Delaram Jarchi, Javier Andreu-Perez, Mehrin Kiani +4
Accurately diagnosing sleep disorders is essential for clinical assessments and treatments. Polysomnography (PSG) has long been used for detection of various sleep disorders. In th…
A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels
Javier Andreu-Perez, Humberto Pérez-Espinosa, Eva Timonet +11
We seek to evaluate the detection performance of a rapid primary screening tool of Covid-19 solely based on the cough sound from 8,380 clinically validated samples with laboratory…