Parkinson’s disease classification using gait characteristics and wavelet-based feature extraction
- 15 June 2012
- journal article
- Published by Elsevier BV in Expert Systems with Applications
- Vol. 39 (8), 7338-7344
- https://doi.org/10.1016/j.eswa.2012.01.084
Abstract
No abstract availableThis publication has 18 references indexed in Scilit:
- Forecasting KOSPI based on a neural network with weighted fuzzy membership functionsExpert Systems with Applications, 2011
- An Optimization of Hashing Mechanism for the DHP Association Rules Mining AlgorithmJournal of the Korea Society of Computer and Information, 2010
- Limb dominance changes in walking evolution explored by asymmetric correlations in gait dynamicsPhysica A: Statistical Mechanics and its Applications, 2010
- Arm swing magnitude and asymmetry during gait in the early stages of Parkinson's diseaseGait & Posture, 2010
- Minimized Stock Forecasting Features Selection by Automatic Feature Extraction MethodJournal of Korean Institute of Intelligent Systems, 2009
- Finding Features for Real-Time Premature Ventricular Contraction Detection Using a Fuzzy Neural Network SystemIEEE Transactions on Neural Networks, 2009
- A neuro-fuzzy approach for diagnosis of antibody deficiency syndromeNeurocomputing, 2006
- Analysis of finger-tapping movementJournal of Neuroscience Methods, 2005
- Neural classification of lung sounds using wavelet coefficientsComputers in Biology and Medicine, 2004
- Falls and Parkinsonʼs DiseaseClinical Neuropharmacology, 1989