Automatic diagnosis of ADHD based on multichannel nonlinear analysis of actimetry registries.
Attention-Deficit Hyperactivity Disorder (ADHD) is the most common mental health problem in childhood and adolescence. It is commonly diagnosed by means of subjective methods which tend to overestimate the severity of the pathology. A number of objective methods also exist, but they are either expensive or time-consuming. Some recent proposals based on nonlinear processing of activity registries have deserved special attention. Since they rely on actigraphy measurements, they are both inexpensive and non-invasive. Among these methods, those shown to have higher reliability are based on single-channel complexity assessment of the activity patterns. This way, potentially useful information related to the interaction between the different channels is discarded. In this paper we propose a new methodology for ADHD diagnosis based on joint complexity assessment of multichannel activity registries. Results on real data show that the proposed method constitute a useful diagnostic aid tool reaching 87:10% sensitivity and 84.38% specificity. The combination of ADHD indicators extracted with the proposed method with single-channel complexity-based indices previously proposed lead to sensitivity and specifity values above 90%.
Laboratory of Image Processing (LPI), E.T.S. Ingenieros de Telecomunicación, University of Valladolid. Paseo Belén 15, 47011, Valladolid, Spain. casaseca@lpi.tel.uva.es
Pablo
P
Casaseca-de-la-Higuera
Diego
D
Martín-Martínez
Susana
S
Alberola-López
Jesús María
JM
Andrés-de-Llano
José Antonio
JA
López-Villalobos
José
J
Ramón-Garmendia Leiza
Carlos
C
Alberola-López
D056044:Actigraphy / Q000379:methods* / Q000706:statistics & numerical data*; D000328:Adult; D000465:Algorithms; D001289:Attention Deficit Disorder with Hyperactivity / Q000175:diagnosis* / Q000453:epidemiology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated / Q000379:methods*; D015995:Prevalence; D012042:Registries; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013030:Spain / Q000453:epidemiology