Real-time analysis of physiological data to support medical applications

IEEE Transactions on Information Technology in Biomedicine

Volumn 13, Issue 3, 2009, Pages 313-321

  Apiletti, Daniele ^a   Baralis, Elena ^a   Bruno, Giulia ^a   Cerquitelli, Tania ^a  

^a POLITECNICO DI TORINO   (Italy)

Author keywords

Anomaly detection; Data mining; Mobile applications; Patient monitoring; Physiological signal analysis

Indexed keywords

ANOMALY DETECTION; BEHAVIORAL MODEL; CLINICAL SITUATIONS; DAILY ACTIVITY; EXPERIMENTAL VALIDATIONS; FLEXIBLE FRAMEWORK; HEALTH CONDITION; HOSPITAL ENVIRONMENT; INTENSIVE CARE; MOBILE APPLICATIONS; PHYSIOLOGICAL DATA; PHYSIOLOGICAL SIGNAL ANALYSIS; REAL TIME ANALYSIS; SLIDING TIME WINDOWS; STREAM CLASSIFICATION;

INFORMATION MANAGEMENT; MEDICAL APPLICATIONS; MINING; MOBILE DEVICES; PATIENT MONITORING; SIGNAL ANALYSIS; SIGNAL DETECTION;

PHYSIOLOGICAL MODELS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; CLUSTER ANALYSIS; HUMAN; MONITORING; PROGNOSIS; REPRODUCIBILITY; RISK FACTOR; SIGNAL PROCESSING; STATISTICAL ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; HUMANS; MODELS, BIOLOGICAL; MONITORING, PHYSIOLOGIC; PROGNOSIS; REPRODUCIBILITY OF RESULTS; RISK FACTORS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 67349254811     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2008.2010702     Document Type: Article

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