Nonlinear analysis of actigraphic signals for the assessment of the attention-deficit/hyperactivity disorder (ADHD)
In: Medical engineering & physics, Jg. 34 (2012), Heft 9, S. 1317-1329
academicJournal
- print; 13; 71 ref
Zugriff:
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 24 h-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.
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Nonlinear analysis of actigraphic signals for the assessment of the attention-deficit/hyperactivity disorder (ADHD)
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Autor/in / Beteiligte Person: | MARTIN-MARTINEZ, D ; CASASECA-DE-LA-HIGUERA, P ; ALBEROLA-LOPEZ, S ; ANDRES-DE-LLANO, J ; LOPEZ-VILLALOBOS, J. A ; ARDURA-FERNANDEZ, J ; ALBEROLA-LOPEZ, C |
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Zeitschrift: | Medical engineering & physics, Jg. 34 (2012), Heft 9, S. 1317-1329 |
Veröffentlichung: | Kidlington: Elsevier, 2012 |
Medientyp: | academicJournal |
Umfang: | print; 13; 71 ref |
ISSN: | 1350-4533 (print) |
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