Auditory brainstem response classification: A hybrid model using time and frequency features

Artificial Intelligence in Medicine

Volumn 40, Issue 1, 2007, Pages 1-14

  Davey, Robert ^a   McCullagh, Paul ^b   Lightbody, Gaye ^b   McAllister, Gerry ^b  

^a CITY UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

Auditory brainstem response; Classification; Decision support; Feature selection; Hybrid model

Indexed keywords

ACOUSTIC WAVES; BIOELECTRIC POTENTIALS; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; FEATURE EXTRACTION; NEUROLOGY; SENSORY PERCEPTION; SOFTWARE ENGINEERING;

AUDITORY BRAINSTEM RESPONSE (ABR); FREQUENCY ANALYSIS; HYBRID MODEL;

MATHEMATICAL MODELS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUDITORY STIMULATION; COMPUTER PROGRAM; EVOKED BRAIN STEM AUDITORY RESPONSE; FREQUENCY DISCRIMINATION; HEARING; HYBRID; PRIORITY JOURNAL; STIMULUS RESPONSE; TIME PERCEPTION; WAVEFORM;

ACOUSTIC STIMULATION; ALGORITHMS; AUDIOMETRY, EVOKED RESPONSE; AUDITORY THRESHOLD; DECISION SUPPORT SYSTEMS, CLINICAL; DECISION TREES; EVOKED POTENTIALS, AUDITORY, BRAIN STEM; HEARING LOSS; HUMANS; NEURAL NETWORKS (COMPUTER); REACTION TIME; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; TIME FACTORS;

EID: 34247534921     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2006.07.001     Document Type: Article

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