Prediction of post-Schroth Cobb angle changes in adolescent idiopathic scoliosis patients based on neural networks and surface electromyography

The TCN-LSTM hybrid model can precisely predict Cobb angle changes in AIS patients during Schroth exercises, especially in long-term predictions. It provides real-time feedback for clinical treatment and contributes to optimizing treatment plans, presenting a novel prediction approach and reference basis for evaluating the effectiveness of Schroth correction exercises in AIS patients.

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Publication Details

Journal
Frontiers in Bioengineering and Biotechnology
Published
2025-05-14
DOI
https://doi.org/10.3389/fbioe.2025.1570022
Citations
1
Primary Topic
Scoliosis diagnosis and treatment
Type
article
Field-Weighted Citation Impact
2.01
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article

Prediction of post-Schroth Cobb angle changes in adolescent idiopathic scoliosis patients based on neural networks and surface electromyography

Yan Peng, Jian‐Gang Chen, S. Yin
1 citations
Frontiers in Bioengineering and Biotechnology
Scoliosis diagnosis and treatment
2.01
article

Prediction of post-Schroth Cobb angle changes in adolescent idiopathic scoliosis patients based on neural networks and surface electromyography

Yan Peng, Jian‐Gang Chen, S. Yin
article en
1 citations

Abstract

The TCN-LSTM hybrid model can precisely predict Cobb angle changes in AIS patients during Schroth exercises, especially in long-term predictions. It provides real-time feedback for clinical treatment and contributes to optimizing treatment plans, presenting a novel prediction approach and reference basis for evaluating the effectiveness of Schroth correction exercises in AIS patients.

Frontiers in Bioengineering and BiotechnologyVol. 13
Beijing Normal University (CN), Suzhou Municipal Hospital (CN), Suzhou Vocational Health College (CN)
Openalex Percentile: Top 16%
Scoliosis diagnosis and treatment
2.01
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