Deep multimodal biomechanical analysis for lower back pain rehabilitation to improve patients stability
Results demonstrate the robustness, generalizability, and clinical potential of 3D-PoseFormer in AI-assisted rehabilitation, offering a scalable and intelligent healthcare system for remote physiotherapy and patient monitoring.
Authors
- Mohammed S. Alshehri (ORCID: https://orcid.org/0000-0001-9471-7720)
- Shaheryar Najam (ORCID: https://orcid.org/0000-0002-2186-2342)
- Hanan Aljuaid (ORCID: https://orcid.org/0000-0001-6042-0283)
- Yahya Alqahtani (ORCID: https://orcid.org/0000-0001-8622-0722)
- Yanfeng Wu (ORCID: https://orcid.org/0000-0002-3403-8344)
- Muhammad Ashraf (ORCID: https://orcid.org/0000-0002-6175-6253)
- Hui Liu (ORCID: https://orcid.org/0009-0004-3528-7539)
- Ahmad Jalal (ORCID: https://orcid.org/0009-0000-8421-8477)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- University of Bremen (DE)
- Riphah International University (PK)
- Korea University (KR)
- Nanjing University of Information Science and Technology (CN)
- Guodian Institute of Science and Technology (CN)
- Bahria University (PK)
- King Khalid University (SA)
- Air University (PK)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2025-11-07
- DOI
- https://doi.org/10.3389/fbioe.2025.1631910
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 0.00