Temporal patient state characterization using iterative order and noise (ION) estimation: Applications to anesthesia patient monitoring

Journal of Clinical Monitoring and Computing

Volumn 17, Issue 6, 2002, Pages 351-359

  Alterovitz, Gil ^a   Staelin, David H ^a   Philip, James H ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Anaesthesiology; Biomedical monitoring; Biomedical signal analysis; Multivariate noise reduction; Multivariate signals; Principal components

Indexed keywords

ITERATIVE METHODS; PRINCIPAL COMPONENT ANALYSIS; SPURIOUS SIGNAL NOISE; SURGERY;

OPERATING ROOMS (OR);

PATIENT MONITORING;

DESFLURANE; LOCAL ANESTHETIC AGENT; OPIATE;

ACCURACY; ALGORITHM; ANESTHESIA MECHANISM; ANESTHESIOLOGICAL TECHNIQUES; ARTICLE; CHARACTER STATE; HUMAN; HYPERTENSION; LINEAR REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; NOISE MEASUREMENT; NOISE REDUCTION; PARAMETRIC TEST; PATIENT MONITORING; PHYSIOLOGY; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RECORDING; SENSOR; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SURGICAL TECHNIQUE; TACHYCARDIA; TEMPORAL SUMMATION;

ALGORITHMS; ANESTHESIA, GENERAL; HUMANS; MONITORING, PHYSIOLOGIC; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; TACHYCARDIA;

EID: 0037961054     PISSN: 13871307     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1024281817025     Document Type: Article

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