Datasets
Open Access
DNE-113 - A Smartphone-based Multi-test Digitized Neurological Examination Dataset
- Citation Author(s):
- Submitted by:
- Hieu Hoang
- Last updated:
- Tue, 10/29/2024 - 10:47
- DOI:
- 10.21227/kjh1-5p98
- Link to Paper:
- License:
- Categories:
- Keywords:
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.
TBD
Dataset Files
- _zip-contents
- dne-dataset-v2-public.zip.json (54.05 MB)
- dne-dataset-v2-public.zip (1.73 GB)
- dne_annotation.csv (2.65 kB)
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