Objective study of sensor relevance for automatic cough detection

IEEE Journal of Biomedical and Health Informatics

Volumn 17, Issue 3, 2013, Pages 699-707

  Drugman, Thomas ^a   Urbain, Jerome ^a   Bauwens, Nathalie ^b   Chessini, Ricardo ^a   Valderrama, Carlos ^a   Lebecque, Patrick ^b   Dutoit, Thierry ^a  

^a UNIVERSITY OF MONS   (Belgium)

^b UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

Audio processing; Biomedical engineering; Cough detection; Cystic fibrosis; Multimodal; Neural network; Sensor

Indexed keywords

BIOMEDICAL ENGINEERING; MEDICINE; NEURAL NETWORKS; SENSORS;

AUDIO PROCESSING; BACKGROUND NOISE; CYSTIC FIBROSIS; MEDICAL LITERATURES; MULTI-MODAL; MUTUAL INFORMATIONS; RELIABLE DETECTION; SENSITIVITY AND SPECIFICITY;

CHEMICAL DETECTION;

ACCELEROMETRY; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; COUGHING; CYSTIC FIBROSIS; ELECTROCARDIOGRAPHY; FACTUAL DATABASE; FEMALE; HUMAN; MALE; METHODOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGIC MONITORING; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; SOUND DETECTION; YOUNG ADULT;

ACCELEROMETRY; ADULT; COUGH; CYSTIC FIBROSIS; DATABASES, FACTUAL; ELECTROCARDIOGRAPHY; FEMALE; HUMANS; MALE; MONITORING, PHYSIOLOGIC; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOUND SPECTROGRAPHY; YOUNG ADULT;

EID: 84885154433     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/JBHI.2013.2239303     Document Type: Article

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