Deep Learning-Based Detection of Parkinson’s Disease Using Gait
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1841-2_35
Reference27 articles.
1. Chen M, Hao Y, Hwang K, Wang L, Wang L (2017) Disease prediction by machine learning over big data from healthcare communities. IEEE Access 5:8869–8879
2. Daliri MR (2013) Chi-square distance kernel of the gaits for the diagnosis of parkinson’s disease. Biomed Sig Process Control 8:66–70
3. El Maachi I, Bilodeau G-A, Bouachir W (2020) Deep 1D-Convnet for accurate parkinson disease detection and severity prediction from gait. Expert Syst Appl 143:113075. ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2019.113075
4. Ertuğrul OF, Kaya Y, Tekin R, Almalı MN (2016) Detection of parkinson’s disease by shifted one dimensional local binary patterns from gait. Expert Syst Appl 56:156–163
5. Fahn S, Elton R et al (1987) UPDRS program members. unified parkinsons disease rating scale. Recent Develop in Parkinsons Dis 2:153–163
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