Breakthrough Prediction in Robotic Laminectomy Based on Electrical Impedance Monitoring with LSTM-FCN-Reference-Cited by-同舟云学术

Breakthrough Prediction in Robotic Laminectomy Based on Electrical Impedance Monitoring with LSTM-FCN

Published:2022-08-20 Issue: Volume: Page:
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Container-title:2022 WRC Symposium on Advanced Robotics and Automation (WRC SARA)
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Author:

Ji Xuquan¹,Wang Yunning¹,Zhang Yonghong²,Hu Lei²,Li Kailu¹,Duan Wei¹,Li Weishi³,Liu Wenyong¹

Affiliation:

1. Beihang University,Key Laboratory of Biomechanics and Mechanobiology of the Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering,Beijing,China,100083

2. Beihang University,School of Mechanical Engineering and Automation,Beijing,China,100083

3. Peking University Third Hospital,Engineering Research Center of Bone and Joint Precision Medicine of the Ministry of Education,Department of Orthopaedics,Beijing,China,100191

Funder

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9903936/9903920/09903989.pdf?arnumber=9903989

Reference15 articles.

1. Dependence of Piezoelectric Discs Electrical Impedance on Mechanical Loading Condition

2. LSTM Fully Convolutional Networks for Time Series Classification

3. Load characteristics of high power sandwich piezoelectric ultrasonic transducers

4. Force Perception and Bone Recognition of Vertebral Lamina Milling by Robot-Assisted Ultrasonic Bone Scalpel Based on Backpropagation Neural Network

5. Pearson Correlation Coefficient

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