Early Detection of Parkinson Disease Using Wavelet Transform Along with Fourier Transform-Reference-Cited by-同舟云学术

Early Detection of Parkinson Disease Using Wavelet Transform Along with Fourier Transform

Published:2019 Issue: Volume: Page:323-333
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Rizvi Syed Qasim Afser,Wang Guojun^ORCID,Xing Xiaofei

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-1301-5_26

Reference22 articles.

1. Bigelow, L.J.: Longitudinal assessment of behaviour and associated biomarkers in a novel progressive model of Parkinson’s Disease. University of Prince Edward Island (2018)

2. Zhao, A., et al.: Dual channel LSTM based multi-feature extraction in gait for diagnosis of Neurodegenerative diseases. Knowl.-Based Syst. 145, 91–97 (2018)

3. Postuma, R.B., Berg, D.: Prodromal Parkinson’s disease: the decade past, the decade to come. Mov. Disord. 34(5), 665–675 (2019)

4. Geman, O., et al.: Ubiquitous healthcare system based on the sensors network and Android internet of things gateway. In: 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE (2018)

5. Lecture Notes in Computer Science;SQA Rizvi,2018

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2. Classifying Parkinson’s Disease Using Resting State Electroencephalogram Signals and U^EN-PDNet;IEEE Access;2023

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