Automatic diagnosis of ADHD based on nonlinear analysis of actimetry registries

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2011, Pages 685-688

  Martín, Diego ^a   Casaseca, Pablo ^a   Alberola, Susana ^a   López, José Antonio ^a   Ruiz, Francisco Carlos ^a   Andrés, Jesús María ^a   Garmendia, José Ramón ^a   Ardura, Julio ^a  

^a UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

Activity Rest Detection; ADHD; Automatic Diagnosis System; Central Tendency Measure; Regularity Assessment

Indexed keywords

ADHD; AUTOMATIC DIAGNOSIS; CENTRAL TENDENCY MEASURE; DETECTION FILTER; HYPERACTIVITY DISORDER; MENTAL HEALTH; MODULE-BASED; NOVEL METHODOLOGY; OBJECTIVE MEASUREMENT; PROCESSING METHOD; REGULARITY ASSESSMENT; SEPARATE ANALYSIS; SUBJECTIVE METHODS; TWO STAGE;

FEATURE EXTRACTION; NONLINEAR ANALYSIS; PROCESSING; PROGRAM DIAGNOSTICS; SIGNAL DETECTION; SPEECH; SPEECH COMMUNICATION;

COMPUTER AIDED DIAGNOSIS;

EID: 80051617344     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5946496     Document Type: Conference Paper

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