Towards a Comprehensive Solution for a Vision-Based Digitized Neurological Examination-Reference-Cited by-同舟云学术

Towards a Comprehensive Solution for a Vision-Based Digitized Neurological Examination

Published:2022-08 Issue:8 Volume:26 Page:4020-4031
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Hoang Trung-Hieu¹^ORCID,Zehni Mona¹^ORCID,Xu Huaijin²^ORCID,Heintz George³^ORCID,Zallek Christopher⁴^ORCID,Do Minh N.¹^ORCID

Affiliation:

1. Department of Electrical & Computer Engineering, Coordinated Science Laboratory at University of Illinois at Urbana-Champaign (UIUC), Champaign, IL, USA

2. Department of Kinesiology & Community Health at UIUC, Urbana, IL, USA

3. Healthcare Engineering Systems Center at UIUC, Urbana, IL, USA

4. OSF HealthCare Illinois Neurological Institute–Neurology, Peoria, IL, USA

Funder

Jump ARCHES Endowment

National Institute of Health

Vingroup Innovation Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9855434/09760105.pdf?arnumber=9760105

Reference72 articles.

1. Speech and Voice Response to a Levodopa Challenge in Late-Stage Parkinson’s Disease

2. Facial expressions can detect Parkinson’s disease: preliminary evidence from videos collected online

3. Diagnosing Parkinson Disease Through Facial Expression Recognition: Video Analysis

4. Gait Analysis Using Computer Vision Based on Cloud Platform and Mobile Device

5. Vision-based gait impairment analysis for aided diagnosis

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