Addressing Multiple Challenges in Early Gait Freezing Prediction for Parkinson's Disease: A Practical Deep Learning Approach

Our findings offer valuable insights for addressing multiple challenges in the practical application of wearable devices.

Authors

Publication Details

Journal
IEEE Journal of Biomedical and Health Informatics
Published
2024-12-26
DOI
https://doi.org/10.1109/jbhi.2024.3522664
Citations
3
Primary Topic
Gait Recognition and Analysis
Type
article
Field-Weighted Citation Impact
0.55

Funders

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article

Addressing Multiple Challenges in Early Gait Freezing Prediction for Parkinson's Disease: A Practical Deep Learning Approach

Lunxin Pan, Tao Liu, Jingfeng Lin, Xinning Le et al.
3 citations
IEEE Journal of Biomedical and Health Informatics
Gait Recognition and Analysis
0.55
article

Addressing Multiple Challenges in Early Gait Freezing Prediction for Parkinson's Disease: A Practical Deep Learning Approach

Lunxin Pan, Tao Liu, Jingfeng Lin, Xinning Le, Yaru Li, Peng Ren, Wen-An Wang, Dezhong Yao, Min Li
article en
3 citations

Abstract

Our findings offer valuable insights for addressing multiple challenges in the practical application of wearable devices.

IEEE Journal of Biomedical and Health InformaticsVol. 29(9)
National Natural Science Foundation of China
Openalex Percentile: Top 35%
Gait Recognition and Analysis
0.55
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