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.
Authors
- Yan Peng (ORCID: https://orcid.org/0000-0002-1115-2443)
- Jian‐Gang Chen (ORCID: https://orcid.org/0000-0002-8490-6509)
- S. Yin
Institutions
- Beijing Normal University (CN)
- Suzhou Municipal Hospital (CN)
- Suzhou Vocational Health College (CN)
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