Diagnosis and Severity Rating of Parkinson’s Disease Based on Multimodal Gait Signal Analysis With GLRT and ST-CNN-Transformer Networks

By combining DL with GLRT-based gait segmentation and multimodal gait analysis, this study proposes a robust and interpretable PD severity assessment framework that contributes to more accurate and objective clinical decision-making.

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Publication Details

Journal
IEEE Journal of Translational Engineering in Health and Medicine
Published
2025-01-01
DOI
https://doi.org/10.1109/jtehm.2025.3611498
Citations
1
Primary Topic
Advanced Computing and Algorithms
Type
article
Field-Weighted Citation Impact
6.18
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article

Diagnosis and Severity Rating of Parkinson’s Disease Based on Multimodal Gait Signal Analysis With GLRT and ST-CNN-Transformer Networks

Miaoxin Ji, Lina Guo, Wen Li, Hongru Dong
1 citations
IEEE Journal of Translational Engineering in Health and Medicine
Advanced Computing and Algorithms
6.18
article

Diagnosis and Severity Rating of Parkinson’s Disease Based on Multimodal Gait Signal Analysis With GLRT and ST-CNN-Transformer Networks

Miaoxin Ji, Lina Guo, Wen Li, Hongru Dong
article en
1 citations

Abstract

By combining DL with GLRT-based gait segmentation and multimodal gait analysis, this study proposes a robust and interpretable PD severity assessment framework that contributes to more accurate and objective clinical decision-making.

IEEE Journal of Translational Engineering in Health and MedicineVol. 13
Henan University of Technology (CN), First Affiliated Hospital of Zhengzhou University (CN)
Openalex Percentile: Top 4%
Advanced Computing and Algorithms
6.18
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