Parkinson’s Disease Detection From Online Handwriting Based on Beta-Elliptical Approach and Fuzzy Perceptual Detector-Reference-Cited by-同舟云学术

Parkinson’s Disease Detection From Online Handwriting Based on Beta-Elliptical Approach and Fuzzy Perceptual Detector

Published:2024 Issue: Volume:12 Page:56936-56950
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Allebawi Mohammed F.¹^ORCID,Dhieb Thameur¹^ORCID,Neji Mohamed¹^ORCID,Farhat Nouha²,Smaoui Emna²^ORCID,Hamdani Tarek M.¹^ORCID,Damak Mariem²,Mhiri Chokri²,Neji Bilel³^ORCID,Beyrouthy Taha³^ORCID,Alimi Adel M.¹^ORCID

Affiliation:

1. REsearch Groups in Intelligent Machines (REGIM Laboratory), National Engineering School of Sfax (ENIS), University of Sfax, Sfax, Tunisia

2. Department of Neurology, Habib Bourguiba Hospital, Sfax, Tunisia

3. College of Engineering and Technology, American University of the Middle East (AUM), Egaila, Kuwait

Funder

Tunisian Ministry of Higher Education and Scientific Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10496067.pdf?arnumber=10496067

Reference52 articles.

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2. Heart rate variability and sympathetic skin response for the assessment of autonomic dysfunction in leucine-rich repeat kinase 2 associated Parkinson's disease

3. Deep Transfer Learning Based Parkinson’s Disease Detection Using Optimized Feature Selection

4. Parkinson’s Disease Management via Wearable Sensors: A Systematic Review

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