DAGAN-Based Gait Features Augmentation for Ankle Instability Detection

DAGAN-Based Gait Features Augmentation for Ankle Instability Detection

We developed a computer-aided program for the diagnosis of ankle ligament injury. This study used the Heidelberg Foot Measurement Method (HFMM) to obtain the specific gait kinematic characteristics. To address the issue of insufficient available medical samples, an Attention Dual Generative Adversar...

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Bibliographic Details
Main Authors: Xin Liu, Yao Zhang, Yuwei Jiao, Bin Zheng, Qinwei Guo, Yuanyuan Yu, Aziguli Wulamu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Gait analysis
ankle instability
dual attention generative adversarial networks (DAGAN)
convolutional long short-term memory network (ConvLSTM)
temporal convolutional network (TCN)
Online Access:https://ieeexplore.ieee.org/document/11075723/
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