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

Journal: Frontiers in bioengineering and biotechnology
Published Date: Jan 1, 2025

Abstract

INTRODUCTION: To develop a temporal-convolutional-LSTM (TCN-LSTM) hybrid model integrating surface electromyography (sEMG) signals for forecasting post-Schroth Cobb angle progression in adolescent idiopathic scoliosis (AIS) patients, thereby offering accurate feedback for personalized treatment.

Authors

  • Shuguang Yin
    Department of Clinical Medicine, Suzhou Vocational Health College, Suzhou, China.
  • Jiangang Chen
  • Peng Yan
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Room 603, No. 6 Tiantan Xili, Dongcheng District, Beijing, China.

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