Subject-Independent, Biological Hip Moment Estimation During Multimodal Overground Ambulation Using Deep Learning-Reference-Cited by-同舟云学术

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Subject-Independent, Biological Hip Moment Estimation During Multimodal Overground Ambulation Using Deep Learning

Published:2022-02 Issue:1 Volume:4 Page:219-229
ISSN:2576-3202
Container-title:IEEE Transactions on Medical Robotics and Bionics
language:
Short-container-title:IEEE Trans. Med. Robot. Bionics

Author:

Molinaro Dean D.,Kang Inseung,Camargo Jonathan,Gombolay Matthew C.,Young Aaron J.

Funder

National Science Foundation Graduate Research Fellowship

NSF NRI

Fulbright Foreign Student Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

https://ieeexplore.ieee.org/ielam/8253409/9718002/9687847-aam.pdf

Reference39 articles.

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2. Long Short-Term Memory

3. A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions

4. CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data

5. Human lower extremity joint moment prediction: A wavelet neural network approach

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