Quantitative Gait Assessment With Feature-Rich Diversity Using Two IMU Sensors
Author:
Funder
Data Sciences Program II (DSP II) of Tohoku University and G-7 Scholarship Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Medicine
Link
http://xplorestaging.ieee.org/ielx7/8253409/9267756/09184893.pdf?arnumber=9184893
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2. LSTM Network-Based Estimation of Ground Reaction Forces During Walking in Stroke Patients Using Markerless Motion Capture System;IEEE Transactions on Medical Robotics and Bionics;2023-11
3. A Uniformly Wide-Range Distributed DC Magnetic Generator Based on Residual Magnetic Field for Motion Measurement;IEEE Journal of Emerging and Selected Topics in Power Electronics;2023-10
4. Adaptive Control Method for Gait Detection and Classification Devices with Inertial Measurement Unit;Sensors;2023-07-24
5. Correlation Analysis between Clinical Rating Scales and Inertial Signal Features in Parkinson’s Disease Patients;Journal of the Korean Society for Precision Engineering;2023-07-01
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