Continuous assessment of schizophrenia using heart rate and accelerometer data

Physiological Measurement

Volumn 38, Issue 7, 2017, Pages 1456-1471

  Reinertsen, Erik ^a   Osipov, Maxim ^b   Liu, Chengyu ^c   Kane, John M ^d   Petrides, Georgios ^d   Clifford, Gari D ^a,c  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d ZUCKER HILLSIDE HOSPITAL   (United States)

Author keywords

entropy; heart rate; machine learning; mhealth; mobile health; schizophrenia; support vector machine

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISEASES; ENTROPY; HEART; MHEALTH; SMARTPHONES;

ACCELEROMETER DATA; ANALYSIS WINDOWS; CONTINUOUS ASSESSMENT; HEALTHY CONTROLS; HEART ACTIVITIES; HEART-RATE; PHYSICAL ACTIVITY; SCHIZOPHRENIA PATIENTS; STATISTICAL CHARACTERISTICS; SUPPORT VECTORS MACHINE;

SUPPORT VECTOR MACHINES;

ACCELEROMETRY; CASE CONTROL STUDY; HEART RATE; HUMAN; LOCOMOTION; PATHOPHYSIOLOGY; SCHIZOPHRENIA; SUPPORT VECTOR MACHINE;

ACCELEROMETRY; CASE-CONTROL STUDIES; HEART RATE; HUMANS; LOCOMOTION; SCHIZOPHRENIA; SUPPORT VECTOR MACHINE;

EID: 85021670848     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/1361-6579/aa724d     Document Type: Article

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