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XR (Extended Reality) based Real-Time Open Heart Surgery Platform Recommended by AWE

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/xr-extended-reality-based-real-time-open-heart-surgery-platform-recommended-awe-1
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XR (Extended Reality) based Real-Time Open Heart Surgery Platform is an advanced biomedical visualization and simulation system that integrates multi-camera imaging, extended reality (XR) immersion, and robotic replication technologies to revolutionize surgical education and medical research. The platform employs a network of seven high-resolution, synchronized cameras strategically positioned around the operating field to capture real-time stereoscopic visuals of open-heart surgery from multiple perspectives. These visual data streams are processed through advanced image fusion algorithms and rendered into a three-dimensional virtual environment accessible through VR head-mounted displays. By using photogrammetry and volumetric reconstruction techniques, the platform creates a hyper-realistic, spatially accurate digital twin of the surgical procedure.The robotic replication module reproduces each surgical movement on a mechanical heart embedded with biosensors and actuators, enabling tactile simulation of cardiac manipulation. The integration of force-feedback mechanisms allows the robotic model to mimic the elasticity, resistance, and pulsation of biological cardiac tissue. This provides a multisensory training environment where surgeons and medical students can observe and interact with a virtual or physical representation of an ongoing operation in real time. The system\u2019s biosensor interface monitors parameters such as pressure gradients, tissue deformation, and pulse rate, feeding these data into an AI-assisted control algorithm that optimizes the fidelity of the simulation.Through XR immersion, users can visualize the cardiac anatomy at a molecular level, examining blood flow dynamics, valve movements, and myocardial contractions in three dimensions. The platform supports haptic feedback integration, enabling realistic sensation of tissue handling during virtual surgery. Moreover, the XR environment incorporates augmented annotations, biometric overlays, and procedural guides to enhance cognitive learning. The synchronization between real surgical footage and robotic emulation is achieved through low-latency transmission protocols and real-time data interpolation.This innovation not only bridges the gap between physical and digital surgical domains but also establishes a scalable framework for remote surgical observation, telemedicine, and preoperative planning. By combining extended reality visualization with biomechanical replication and real-time sensor interfacing, the system embodies a groundbreaking step toward the future of medical education, precision surgery, and human-robot collaboration in the biomedical domain.
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ANIK MUSHFEKI
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