Multisensory Integration for Identifying the Milling States in Robot‐Assisted Cervical Laminectomy
Through theoretical analysis and experimental verification, the study built a multi-perception fusion framework based on tactile and auditory perception and accurately identified the cervical vertebra milling states through the LSTM model, which can provide perception means for operational spinal surgery robots in the future.
Authors
- Weiqian Ke (ORCID: https://orcid.org/0009-0007-8540-7510)
- Yuan Xue (ORCID: https://orcid.org/0000-0003-4232-8146)
- Yu Dai (ORCID: https://orcid.org/0000-0002-7432-226X)
- Guangming Xia (ORCID: https://orcid.org/0000-0002-3024-3658)
- Junfei Hu (ORCID: https://orcid.org/0009-0006-8969-592X)
- Fei Zhao (ORCID: https://orcid.org/0000-0002-0936-4447)
- Rui Wang (ORCID: https://orcid.org/0000-0001-6403-2499)
- Yingjie Zheng
- Chao Sun (ORCID: https://orcid.org/0000-0002-0051-4453)
Institutions
- Nankai University (CN)
- Tianjin Medical University General Hospital (CN)
- Affiliated Hospital of Hebei University (CN)
- Cardiff Metropolitan University (GB)
Publication Details
- Journal
- Orthopaedic Surgery
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1111/os.70182
- Primary Topic
- Cervical and Thoracic Myelopathy
- Type
- article
- Field-Weighted Citation Impact
- 0.00