Automatic classifier based on heart rate variability to identify fallers among hypertensive subjects

Healthcare Technology Letters

Volumn 2, Issue 4, 2015, Pages 89-94

  Melillo, Paolo ^a,b   Jovic, Alan ^c   De Luca, Nicola ^d   Pecchia, Leandro ^e  

^a SECOND UNIVERSITY OF NAPLES   (Italy)

^b SHARE Project Italian Ministry of Education Scientific Research and University   (Italy)

^c UNIVERSITY OF ZAGREB   (Croatia)

^d UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^e UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ALGORITHM; AREA UNDER THE CURVE; ARTICLE; AUTOMATIC CLASSIFIER; CARDIAC PATIENT; CARDIOVASCULAR PERFORMANCE; CONTROLLED STUDY; DATA MINING; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FALLING; FEMALE; HEART RATE VARIABILITY; HUMAN; HYPERTENSION; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; PRINCIPAL COMPONENT ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY;

EID: 85015775268     PISSN: None     EISSN: 20533713     Source Type: Journal    
DOI: 10.1049/htl.2015.0012     Document Type: Article

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