A Model-Based Machine Learning Approach to Probing Autonomic Regulation from Nonstationary Vital-Sign Time Series

IEEE Journal of Biomedical and Health Informatics

Volumn 22, Issue 1, 2018, Pages 56-66

  Lehman, Li Wei H ^a   Mark, Roger G ^a   Nemati, Shamim ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b EMORY UNIVERSITY   (United States)

Author keywords

Baroreflex; heart rate variability (HRV); physiological control systems; respiratory sinus arrhythmia (RSA); switching linear dynamical systems (SLDS)

Indexed keywords

BLOOD PRESSURE; DYNAMICAL SYSTEMS; HEART; LINEAR CONTROL SYSTEMS; MACHINE LEARNING; TIME SERIES; TRANSFER FUNCTIONS;

BAROREFLEX; HEART RATE VARIABILITY; PHYSIOLOGICAL CONTROL; RESPIRATORY SINUS ARRHYTHMIA; SWITCHING LINEAR DYNAMICAL SYSTEMS;

TIME SERIES ANALYSIS;

ADULT; AGED; ALGORITHM; ARTICLE; AUTOREGULATION; BLOOD PRESSURE; BREATHING; CLINICAL ARTICLE; ELECTROCARDIOGRAM; FEMALE; HEART RATE; HEART RATE VARIABILITY; HUMAN; IMPEDANCE PLETHYSMOGRAPHY; LUNG VOLUME; MACHINE LEARNING; MALE; MARKOV CHAIN; MATHEMATICAL MODEL; MIDDLE AGED; MODULATION TRANSFER FUNCTION; OSCILLATION; PHENOTYPE; PRESSORECEPTOR REFLEX; RANK SUM TEST; SENSITIVITY AND SPECIFICITY; SEPSIS; TILT TABLE TEST; TIME SERIES ANALYSIS; AGING; AREA UNDER THE CURVE; CLASSIFICATION; FACTUAL DATABASE; INTENSIVE CARE; PATHOPHYSIOLOGY; PHYSIOLOGIC MONITORING; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; STATISTICAL MODEL; VERY ELDERLY; VITAL SIGN; YOUNG ADULT;

ADULT; AGED; AGED, 80 AND OVER; AGING; ALGORITHMS; AREA UNDER CURVE; BAROREFLEX; CRITICAL CARE; DATABASES, FACTUAL; FEMALE; HUMANS; MACHINE LEARNING; MALE; MIDDLE AGED; MODELS, STATISTICAL; MONITORING, PHYSIOLOGIC; SEPSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; VITAL SIGNS; YOUNG ADULT;

EID: 85040307304     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2016.2636808     Document Type: Article

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