Automatic unsupervised respiratory analysis of infant respiratory inductance plethysmography signals

Infants are at risk for potentially life-threatening postoperative apnea (POA). We developed an Automated Unsupervised Respiratory Event Analysis (AUREA) to classify breathing patterns obtained with dual belt respiratory inductance plethysmography and a reference using Expectation Maximization (EM)....

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Veröffentlicht in:	PloS one 2020-09, Vol.15 (9), p.e0238402-e0238402
Hauptverfasser:	Robles-Rubio, Carlos A, Kearney, Robert E, Bertolizio, Gianluca, Brown, Karen A, Mumtaz, Wajid
Format:	Artikel
Sprache:	eng
Schlagworte:	Apnea Automation Biology and Life Sciences Biomedical engineering Breathing Classification Computer and Information Sciences Decision trees Development and progression Diagnosis Engineering and Technology Fragmentation Health aspects Hospitals Inductance Infants Medical examination Medicine and Health Sciences Methods Pattern matching Pediatric research Pediatrics People and Places Performance evaluation Plethysmography Premature babies Premature birth Premature infants Pulmonary ventilation Recall Research and Analysis Methods Respiration Risk factors Sensors Signal classification
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