Auswahl der wissenschaftlichen Literatur zum Thema „Surgical microgripper“
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Zeitschriftenartikel zum Thema "Surgical microgripper"
Dunn, Caleigh R., Bruce P. Lee und Rupak M. Rajachar. „Thermomagnetic-Responsive Self-Folding Microgrippers for Improving Minimally Invasive Surgical Techniques and Biopsies“. Molecules 27, Nr. 16 (15.08.2022): 5196. http://dx.doi.org/10.3390/molecules27165196.
Der volle Inhalt der QuelleYu, Lingtao, Yusheng Yan, Chenzheng Li und Xiufeng Zhang. „Three-dimensional nonlinear force-sensing method based on double microgrippers with E-type vertical elastomer for minimally invasive robotic surgery“. Robotica 36, Nr. 6 (30.01.2018): 865–81. http://dx.doi.org/10.1017/s0263574718000085.
Der volle Inhalt der QuelleVurchio, Federica, Pietro Ursi, Francesco Orsini, Andrea Scorza, Rocco Crescenzi, Salvatore A. Sciuto und Nicola P. Belfiore. „Toward Operations in a Surgical Scenario: Characterization of a Microgripper via Light Microscopy Approach“. Applied Sciences 9, Nr. 9 (09.05.2019): 1901. http://dx.doi.org/10.3390/app9091901.
Der volle Inhalt der QuelleAubeeluck, D. Anastasia, Cameron Forbrigger, Sara Mohseni Taromsari, Tianhao Chen, Eric Diller und Hani E. Naguib. „Screen-Printed Resistive Tactile Sensor for Monitoring Tissue Interaction Forces on a Surgical Magnetic Microgripper“. ACS Applied Materials & Interfaces, 05.07.2023. http://dx.doi.org/10.1021/acsami.3c04821.
Der volle Inhalt der QuellePasaguayo, Liseth, Zeina AL Masry, Sergio Lescano und Noureddine Zerhouni. „Surgical Microgrippers: A Survey And Analysis“. Journal of Medical Devices, 11.07.2023, 1–47. http://dx.doi.org/10.1115/1.4062950.
Der volle Inhalt der QuelleZhou, Huaijuan, Shengchang Zhang, Zijian Liu, Bowen Chi, Jinhua Li und Yilong Wang. „Untethered Microgrippers for Precision Medicine“. Small, 08.11.2023. http://dx.doi.org/10.1002/smll.202305805.
Der volle Inhalt der QuelleDissertationen zum Thema "Surgical microgripper"
Pasaguayo, Baez Liseth Victoria. „Degradation modeling and analysis for a microgripper for intracorporeal surgery“. Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://www.theses.fr/2024UBFCD007.
Der volle Inhalt der QuelleThis research work deals with the degradation modeling and analysis for a microgripper for intracorporeal surgery. We first conducted a literature review to identify limitations for Prognostics and Health Management (PHM) implementation in medical microsystems. Secondly, a methodology based on risk management according to ISO 14971 for medical devices was developed to select the critical components of the microgripper. Thirdly, the data was collected on the microgripper system's kinematics, considering the angular position, velocity, acceleration, and jerk variables through a methodology that included data requirements, methods, and protocols. Once data were available, data analysis was performed, which allowed an understanding of the degradation behavior of the microgripper system, this understanding led to the identification of three distinct stages of degradation, which were categorized into three zones: safety, degradation, and critical. Moreover, it was identified the larger the closing range, the lower the number of cycles before failure occurs. Lastly, to predict the remaining useful life (RUL) of the microgripper system, a machine learning and deep learning approach was implemented. This approach consisted of fusing Gradient Boosting and Long short-term memory (LSTM) results to predict the RUL. The proposed approach performance was validated by the results of the RMSE, MAE, and R^2 metrics, as well as the online RUL implementation