Related Experiment Video
Updated: Jan 8, 2026

07:24
Home-Based Monitor for Gait and Activity Analysis
Published on: August 8, 2019
7.2K
Interpretable machine learning for differentiating SCA3 and MSA-C using gait and postural features from wearable
Yuanyuan Xiao1, Kailiang Luo2, Yue Zhang3,4
1College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China.
Journal of Neuroengineering and Rehabilitation
|December 20, 2025
Summary
No abstract available in PubMed .
Keywords:
Center of pressureGait analysisMachine learningMultiple system atrophySHAPSpinocerebellar ataxiaMore Related Videos
11:25Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
Published on: July 26, 2013
44.0K
09:24Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
Published on: May 17, 2024
2.0K