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Updated: Jan 8, 2026
Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
Published on: January 24, 2025
Neural signals-based respiratory motion tracking: a prospective review
Xiangbin Zhang1, Di Yan1,2, Guangjun Li1
1Radiotherapy Physics and Technology Center, Cancer Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Abstract:
Respiratory motion tracking is critical for optimizing thoracoabdominal radiotherapy accuracy but remains constrained by the system latency of medical linear accelerators. Neural signals that precede the emergence of respiratory motion have the potential to mitigate this system latency issue in respiratory motion tracking radiotherapy. However, the real-time decoding of respiratory-related neural signals is challenging, creating translational bottlenecks that surpass the technical barriers encountered in conventional imaging-based tracking systems. This prospective review aims to provide an overview of the technical challenges and potential solutions for translating neural signals-based respiratory motion tracking into clinical practice.
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