title: Objective diagnosis of ADHD using IMUs.
abstract: This work proposes the use of miniature wireless inertial sensors as an objective tool for the diagnosis of ADHD. The sensors, consisting of both accelerometers and gyroscopes to measure linear and rotational movement, respectively, are used to characterize the motion of subjects in the setting of a psychiatric consultancy. A support vector machine is used to classify a group of subjects as either ADHD or non-ADHD and a classification accuracy of greater than 95% has been achieved. Separate analyses of the motion data recorded during various activities throughout the visit to the psychiatric consultancy show that motion recorded during a continuous performance test (a forced concentration task) provides a better classification performance than that recorded during "free time".
authors.affiliation: Department of Signal and Communications Theory, Universidad Carlos III de Madrid, Avda. de la Universidad, 30, Leganés 28911, Spain. Electronic address: niamh@tsc.uc3m.es.
authors.forename: Niamh
authors.initials: N
authors.lastname: O'Mahony
authors.affiliation: Fundación Jiménez Díaz and Universidad Autónoma (CIBERSAM), Avda. Reyes Católicos, 2, Madrid 28040, Spain. Electronic address: blanca@tsc.uc3m.es.
authors.forename: Blanca
authors.initials: B
authors.lastname: Florentino-Liano
authors.affiliation: Fundación Jiménez Díaz and Universidad Autónoma (CIBERSAM), Avda. Reyes Católicos, 2, Madrid 28040, Spain. Electronic address: jjcarballo@fjd.es.
authors.forename: Juan J
authors.initials: JJ
authors.lastname: Carballo
authors.affiliation: Fundación Jiménez Díaz and Universidad Autónoma (CIBERSAM), Avda. Reyes Católicos, 2, Madrid 28040, Spain; Department of Psychiatry, New York State Psychiatric Institute and Columbia University, New York, NY, USA. Electronic address: eb2452@columbia.edu.
authors.forename: Enrique
authors.initials: E
authors.lastname: Baca-García
authors.affiliation: Department of Signal and Communications Theory, Universidad Carlos III de Madrid, Avda. de la Universidad, 30, Leganés 28911, Spain. Electronic address: antonio@tsc.uc3m.es.
authors.forename: Antonio Artés
authors.initials: AA
authors.lastname: Rodríguez
mesh_terms: D061725:Accelerometry / Q000295:instrumentation / Q000379:methods*; D056044:Actigraphy / Q000295:instrumentation / Q000379:methods*; D001185:Artificial Intelligence; D001289:Attention Deficit Disorder with Hyperactivity / Q000175:diagnosis* / Q000503:physiopathology / Q000523:psychology; D002648:Child; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005260:Female; D006801:Humans; D008297:Male; D008904:Miniaturization; D018670:Monitoring, Ambulatory / Q000295:instrumentation / Q000379:methods*; D009043:Motor Activity; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D059015:Wireless Technology
keywords: Attention deficit/hyperactivity disorder; Classification; Inertial sensors; Machine learning; Objective diagnosis