Feature learning for detection and prediction of freezing of gait in Parkinson's disease

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7988 LNAI, Issue , 2013, Pages 144-158

  Mazilu, Sinziana ^a   Calatroni, Alberto ^a   Gazit, Eran ^b   Roggen, Daniel ^a   Hausdorff, Jeffrey M ^b   Tröster, Gerhard ^a  

^a ETH ZURICH   (Switzerland)

^b TEL AVIV SOURASKY MEDICAL CENTER   (Israel)

Author keywords

Freezing of Gait; Parkinson's disease; Unsupervised feature learning

Indexed keywords

AUTOMATED DETECTION; FEATURE LEARNING; FREEZING OF GAITS; PARKINSON'S DISEASE; PREDICTION PERFORMANCE; PRINCIPAL COMPONENTS ANALYSIS; STATISTICAL FEATURES; UNSUPERVISED FEATURE LEARNING;

DATA MINING; ELECTROPHYSIOLOGY; FORECASTING; LEARNING SYSTEMS; NEURODEGENERATIVE DISEASES; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; TIME DOMAIN ANALYSIS; WEARABLE COMPUTERS;

FREEZING;

EID: 84881255667     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-39712-7_11     Document Type: Conference Paper

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