Article detail · 2016
Detection of Parkinson s disease by Shifted One Dimensional Local Binary Patterns from gait
YÖKSİS
OpenAlex
SJR Q1
JCR Q1
Citations 132
Top 10%
Percentile 95.0%
FWCI 4.68
- Year
- 2016
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Expert Systems with Applications
- Catalog match (ISSN) Expert Systems with Applications
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
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Topics
Citations
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132 citations
OpenAlex cited_by_count (cache / database)
14 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Parkinsons disease monitoring from gait analysis via foot-worn sensors 2018
- A Random Forest Method to Detect Parkinson’s Disease via Gait Analysis 2017
- A Novel Approach for Activity Recognition with Down-Sampling 1D Local Binary Pattern Features 2019
- A Novel Approach for Activity Recognition with Down-Sampling 1D Local Binary Pattern Features 2019
- Recognizing Parkinson's disease gait patterns by vibes algorithm and Hilbert-Huang transform 2021
- Local Pattern Transformation-Based convolutional neural network for sleep stage scoring 2023
- Local Pattern Transformation-Based convolutional neural network for sleep stage scoring 2023
- Estimation of neurological status from non-electroencephalography bio-signals by motif patterns 2019
- Implementation of Artifact Removal Algorithms in Gait Signals for Diagnosis of Parkinson Disease. 2021
- Implementation of Artifact Removal Algorithms in Gait Signals for Diagnosis of Parkinson Disease 2021