title: Nonlinear analysis of actigraphic signals for the assessment of the attention-deficit/hyperactivity disorder (ADHD).
abstract: Attention-deficit/hyperactivity disorder (ADHD) is the most common neurobehavioral disorder in children and adolescents; however, its etiology is still unknown, which hinders the existence of reliable, fast and inexpensive standard diagnostic methods. In this paper, we propose a novel methodology for automatic diagnosis of the combined type of ADHD based on nonlinear signal processing of 24h-long actigraphic registries. Since it relies on actigraphy measurements, it constitutes an inexpensive and non-invasive objective diagnostic method. Our results on real data reach 96.77% sensitivity and 84.38% specificity by means of multidimensional classifiers driven by combined features from different time intervals. Our analysis also reveals that, if features from a single time interval are used, the whole 24-h interval is the only one that yields classification figures with practical diagnostic capabilities. Overall, our figures overcome those obtained by actigraphy-based methods reported and are comparable with others based on more expensive (and not so convenient) adquisition methods.
authors.affiliation: Laboratorio de Procesado de Imagen at Universidad de Valladolid. ETSI Telecomunicación, Campus Miguel Delibes. Paseo Belén 15, 47011 Valladolid, Spain. dmarmar@lpi.tel.uva.es
authors.forename: D
authors.initials: D
authors.lastname: Martín-Martínez
authors.forename: P
authors.initials: P
authors.lastname: Casaseca-de-la-Higuera
authors.forename: S
authors.initials: S
authors.lastname: Alberola-López
authors.forename: J
authors.initials: J
authors.lastname: Andrés-de-Llano
authors.forename: J A
authors.initials: JA
authors.lastname: López-Villalobos
authors.forename: J
authors.initials: J
authors.lastname: Ardura-Fernández
authors.forename: C
authors.initials: C
authors.lastname: Alberola-López
mesh_terms: D056044:Actigraphy / Q000379:methods*; D001289:Attention Deficit Disorder with Hyperactivity / Q000175:diagnosis*; D002648:Child; D005260:Female; D006801:Humans; D008297:Male; D017711:Nonlinear Dynamics; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors