Application of fractal dimension on vestibular response signals for diagnosis of Parkinson's disease

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 7892-7895

  Dastgheib, Z A ^a   Lithgow, B ^b   Moussavi, Z ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

^b Research Affiliate of Riverview Health Center ^*  (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN SIGNALS; CLASSIFICATION ALGORITHM; EAR CANAL; HEALTHY CONTROLS; MULTIVARIATE ANALYSIS OF VARIANCES; NON-INVASIVE; PARKINSON'S DISEASE; PD DIAGNOSIS; RESPONSE SIGNAL; SCREENING TOOL; SMALL POPULATION; TIMING SIGNALS; VESTIBULAR SYSTEM;

BRAIN; DYNAMIC ANALYSIS; DYNAMIC RESPONSE; FEATURE EXTRACTION; FRACTAL DIMENSION; MULTIVARIANT ANALYSIS; NEURODEGENERATIVE DISEASES;

DIAGNOSIS;

ANALYSIS OF VARIANCE; ARTICLE; DISCRIMINANT ANALYSIS; FRACTAL ANALYSIS; HUMAN; PARKINSON DISEASE; PATHOPHYSIOLOGY; SIGNAL PROCESSING; TIME; VESTIBULE;

ANALYSIS OF VARIANCE; DISCRIMINANT ANALYSIS; FRACTALS; HUMANS; PARKINSON DISEASE; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS; VESTIBULE, LABYRINTH;

EID: 84861686241     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091946     Document Type: Conference Paper

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