Logistic ordinal regression for the calibration of oscillometric blood pressure monitors

Biomedical Signal Processing and Control

Volumn 11, Issue 1, 2014, Pages 89-96

  Barbé, Kurt ^a,b   Kurylyak, Yuriy ^b   Lamonaca, Francesco ^b  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^b UNIVERSITY OF CALABRIA   (Italy)

Author keywords

Bio signal processing; Blood pressure measurement; Calibration; Heart frequency estimation; Logistic regression; Oscillometric signal; Pulse pressure signals

Indexed keywords

BLOOD; BLOOD PRESSURE; CALIBRATION; FREQUENCY ESTIMATION; LEARNING SYSTEMS; SIGNAL PROCESSING; SYSTEMATIC ERRORS;

BIO-SIGNAL PROCESSING; BLOOD PRESSURE MONITORS; OSCILLOMETRIC; PERFORMANCE SPECIFICATIONS; PERSONALIZED HEALTHCARE; PULSE PRESSURE; SCIENTIFIC PRINCIPLES; STATISTICAL LEARNING TECHNIQUES;

LOGISTIC REGRESSION;

ARTICLE; BLOOD PRESSURE MONITOR; BLOOD PRESSURE MONITORING; BLOOD PRESSURE VARIABILITY; CALIBRATION; CONTROLLED STUDY; DIASTOLIC BLOOD PRESSURE; HEALTH STATUS; HEART CYCLE; HEART RATE; HUMAN; HYPERTENSION; HYPOTENSION; KOROTKOFF SPHYGMOMANOMETER; LEARNING ALGORITHM; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; NONLINEAR REGRESSION ANALYSIS; OSCILLOMETER; OSCILLOMETRY; PREHYPERTENSION; PRIORITY JOURNAL; SIGNAL PROCESSING; SPHYGMOMANOMETER; SYSTEMATIC ERROR; SYSTOLIC BLOOD PRESSURE;

EID: 84897448815     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2014.01.012     Document Type: Article

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