Objective diagnosis of ADHD using IMUs

Medical Engineering and Physics

Volumn 36, Issue 7, 2014, Pages 922-926

  O'Mahony, Niamh ^a   Florentino Liano, Blanca ^b   Carballo, Juan J ^b   Baca García, Enrique ^b,c   Rodríguez, Antonio Artés ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

^b UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

^c NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

Author keywords

Attention deficit hyperactivity disorder; Classification; Inertial sensors; Machine learning; Objective diagnosis

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS;

ATTENTION DEFICIT; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; INERTIAL SENSOR; OBJECTIVE DIAGNOSIS; PERFORMANCE TESTS; ROTATIONAL MOVEMENT; SEPARATE ANALYSIS;

INERTIAL NAVIGATION SYSTEMS;

ACCELEROMETER; ADHD RATING SCALE IV; ARTICLE; ATTENTION DEFICIT DISORDER; BODY MOVEMENT; CHILD; CLINICAL ARTICLE; CLINICAL FEATURE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; GENERAL DEVICE; GYROSCOPE; HUMAN; INERTIAL MEASUREMENT UNIT; KERNEL METHOD; MACHINE LEARNING; MALE; NEUROPSYCHOLOGICAL TEST; PATIENT MONITORING; PRIORITY JOURNAL; PSYCHIATRIC DIAGNOSIS; RATING SCALE; SENSITIVITY AND SPECIFICITY; SENSOR; SUPPORT VECTOR MACHINE; TEST OF VARIABLES OF ATTENTION; ACCELEROMETRY; ACTIMETRY; AMBULATORY MONITORING; ARTIFICIAL INTELLIGENCE; ATTENTION DEFICIT DISORDER WITH HYPERACTIVITY; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DEVICE FAILURE ANALYSIS; DEVICES; ELECTRONICS; EQUIPMENT DESIGN; MOTOR ACTIVITY; PATHOPHYSIOLOGY; PROCEDURES; PSYCHOLOGY; REPRODUCIBILITY; WIRELESS COMMUNICATION;

ACCELEROMETRY; ACTIGRAPHY; ARTIFICIAL INTELLIGENCE; ATTENTION DEFICIT DISORDER WITH HYPERACTIVITY; CHILD; DIAGNOSIS, COMPUTER-ASSISTED; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FEMALE; HUMANS; MALE; MINIATURIZATION; MONITORING, AMBULATORY; MOTOR ACTIVITY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; WIRELESS TECHNOLOGY;

EID: 84901649004     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2014.02.023     Document Type: Article

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