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AGUMENTED DATASET FOR RESPIRATORY MOVMENT PREDICTION

- Citation Author(s):
- Submitted by:
- Min Tan
- Last updated:
- Mon, 07/18/2022 - 04:49
- DOI:
- 10.21227/h4h1-vh84
- License:
- Categories:
- Keywords:
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Abstract
This is the augmentation dataset used in the paper named "LSTformer: Long Short-term Transformer for Real Time Respiratory
Prediction". We made an augmentation dataset utilizing an RGB-D camera to collect motion signals in a breathing simulator phantom device. It is worth noticing that the movement of the simulator is driven by the clinical patient’s respiration, which is from a public dataset (https://signals.rob.uni-luebeck.de/index.php). Other details can be seen in our previous work : H. Peng, L. Deng, Z. Xia, Y. Xie, and J. Xiong, “Unmarked external breathing motion tracking based on b-spline elastic registration,” in International Conference on Intelligent Robotics and Applications. Springer, 2021, pp. 71–81.
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