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Robotic Assisted Puncture Intervention with Respiratory Status Monitoring

EasyChair Preprint no. 9869, version 2

Versions: 12history
2 pagesDate: April 17, 2023


We propose a robotic-assisted abdominal puncture intervention with respiratory status monitoring in this paper. We constructed the collected respiratory data as point cloud data and established a respiratory state monitoring model using a deep learning point cloud classification network. We divided the respiratory signal in the normal state into four phases: inspiration, peak inspiration, expiration, and the valley of expiration, and we used the peak respiratory phase as the robot's needle insertion moment. Experiments with simulated robot-assisted puncture interventions show the proposed scheme is feasible in a robot-assisted puncture intervention system.

Keyphrases: PointNet, Respiratory Status Monitoring, Robotic Assited Puncture

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Xiaodong Wang and Shijia Chen and Chichi Li and Peng Chen and Jianjun Zhu and Cheng Wang and Jun Xu and Gao-Jun Teng},
  title = {Robotic Assisted Puncture Intervention with Respiratory Status Monitoring},
  howpublished = {EasyChair Preprint no. 9869},

  year = {EasyChair, 2023}}
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