DNE-113 - A Smartphone-based Multi-test Digitized Neurological Examination Dataset

Citation Author(s):
Trung-Hieu
Hoang
University of Illinois Urbana-Champaign
Christopher
Zallek
OSF HealthCare Illinois Neurological Institute
Minh N.
Do
University of Illinois Urbana-Champaign
Submitted by:
Hieu Hoang
Last updated:
Tue, 10/29/2024 - 10:47
DOI:
10.21227/kjh1-5p98
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Abstract 

Towards an accessible vision-based exam and documentation solution using a smartphone/tablet device, we conduct a comprehensive multi-test digitized neurological examination (DNE) dataset collection, namely DNE-113. Collected over 113 participants, DNE-113, a multi-test DNE database of finger tapping, finger to finger, forearm roll, stand-up and walk, and facial activation tests. Patients in DNE-113 were diagnosed with Parkinson’s disease (PD) or at least one other neurological (OD) disorder, based on their clinical record. The OD includes subjects experiencing different conditions affecting various regions in the central/peripheral nervous system, or both. In total, a collection of 147 DNE records with 643 videos, from 113 subjects over all five tests forms the DNE-113 dataset. The pose estimation results from OpenPose, MediaPipe, and VideoPose3D are made publicly available.

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Comments

Good!

Submitted by Thirul Pathirana on Wed, 02/21/2024 - 12:13

Ok

Submitted by Amy Adyanthaya on Mon, 04/29/2024 - 17:35