Evaluation of feature extraction techniques on event-related potentials for detection of attention-deficit/hyperactivity disorder

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 851-854

  Castro Cabrera, P ^a   Gomez Garcia J ^a   Restrepo, F ^b   Moscoso, O ^b   Castellanos Dominguez, G ^a  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

^b UNIVERSIDAD AUTÓNOMA DE MANIZALES   (Colombia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY RATE; CLASSIFICATION ACCURACY; CLINICAL RESEARCH; COGNITIVE PROCESS; DYNAMIC METHOD; EVENT RELATED POTENTIALS; FEATURE EXTRACTION TECHNIQUES; FEATURE SELECTION ALGORITHM; NEUROLOGICAL DISORDERS; WAVELET FEATURES;

FEATURE EXTRACTION;

ADOLESCENT; ARTICLE; ARTIFICIAL INTELLIGENCE; ATTENTION DEFICIT DISORDER; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; CHILD; COMPUTER ASSISTED DIAGNOSIS; ELECTROCARDIOGRAPHY; EVALUATION STUDY; EVOKED RESPONSE; FEMALE; HUMAN; MALE; METHODOLOGY; PATHOPHYSIOLOGY; PRESCHOOL CHILD; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; ARTIFICIAL INTELLIGENCE; ATTENTION DEFICIT DISORDER WITH HYPERACTIVITY; BRAIN; BRAIN MAPPING; CHILD; CHILD, PRESCHOOL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; EVOKED POTENTIALS; FEMALE; HUMANS; MALE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 78650847048     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626862     Document Type: Conference Paper

References (9)

1. I. Lazzaro, E. Gordon, W. Li, C. L. Lim, M. Plahn, S. Whitmont, S. Clarke, R. J. Barry, A. Dosen, and R. Meares, "Simultaneous EEG and EDA measures in adolescent attention deficit hyperactivity disorder," International Journal of Psychophysiology, vol. 34, pp. 123-134, 1999.
2. P. Mavrogiorgou, T. F. Georg Juckel, J. Gallinat, W. Hauke, M. Zaudig, G. Dammann, H.-J. Möller, and U. Hegerl, "P300 subcomponents in obsessive-compulsive disorder," Journal of Psychiatric Research, vol. 36, p. 399-406, 2002.
3. V. Bostanov, "Data sets Ib and IIb: Feature extraction from event-related brain potentials with the continuous wavelet transform and the t-value scalogram," IEEE Transactions on Biomedical Engineering, vol. 51, no. 6, pp. 1057-1061, 2004.
4. T. Demiralp, Y. Istefanopulos, A. Ademoglu, J. Yordanova, and V. Kolev, "Analysis of functional components of P300 by wavelet transform," in Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 20, no. 4, 1998.
5. R. Q. Quiroga, "Obtaining single stimulus evoked potentials with wavelet denoise," Physica D., vol. 145, pp. 278-292, 2000.
6. A. P. Association, Diagnostic and Statistical Manual of Mental Disorders (DSM-IV).
7. V. Abootalebi, M.-H. Moradi, and M.-A. Khalilzadeh, "A new approach for EEG feature extraction in P300-based lie detection," Computer methods and programs in biomedicine, vol. 94, p. 48-57, 2009.
8. J.-S. Richman and J.-R. Moorman, "Physiological time-series analysis using approximate entropy and sample entropy," Am J Physiol Heart Circ Physiol 278: H2039-H2049, 2000.
9. L. Yu and H. Liu, "Efficient feature selection via analysis of relevance and redundancy," Journal of Machine Learning Research, vol. 5, p. 1205-1224, 2004.