A piezoresistive-based 3-axial MEMS tactile sensor and integrated surgical forceps for gastrointestinal endoscopic minimally invasive surgery
In robotic-assisted surgery (RAS), traditional surgical instruments without sensing capability cannot perceive accurate operational forces during the task, and such drawbacks can be largely intensified when sophisticated tasks involving flexible and slender arms with small end-effectors, such as in gastrointestinal endoscopic surgery (GES). In this study, we propose a microelectromechanical system (MEMS) piezoresistive 3-axial tactile sensor for GES forceps, which can intuitively provide surgeons with online force feedback during robotic surgery. The MEMS fabrication process facilitates sensor chips with miniaturized dimensions. The fully encapsulated tactile sensors can be effortlessly integrated into miniature GES forceps, which feature a slender diameter of just 3.5 mm and undergo meticulous calibration procedures via the least squares method. Through experiments, the sensor's ability to accurately measure directional forces up to 1.2 N in the Z axis was validated, demonstrating an average relative error of only 1.18% compared with the full-scale output. The results indicate that this tactile sensor can provide effective 3-axial force sensing during surgical operations, such as grasping and pulling, and in ex vivo testing with a porcine stomach. The compact size, high precision, and integrability of the sensor establish solid foundations for clinical application in the operating theater.
Authors
- Xiaoxiao Yang (ORCID: https://orcid.org/0000-0002-7372-2931)
- Guangming Xue (ORCID: https://orcid.org/0000-0001-9481-5320)
- Xiuli Zuo (ORCID: https://orcid.org/0000-0001-9556-8771)
- Hongliang Ren (ORCID: https://orcid.org/0000-0002-6488-1551)
- Cheng Hou (ORCID: https://orcid.org/0000-0002-7375-4159)
- Bo Lu (ORCID: https://orcid.org/0000-0002-2858-1121)
- Huxin Gao (ORCID: https://orcid.org/0000-0002-8700-560X)
- Huicong Liu (ORCID: https://orcid.org/0000-0003-3651-9114)
- Yanqing Li (ORCID: https://orcid.org/0000-0003-0575-0399)
- Dongsheng Li (ORCID: https://orcid.org/0000-0001-9962-1373)
- Lining Sun (ORCID: https://orcid.org/0000-0002-9354-735X)
Institutions
- Kunming University of Science and Technology (CN)
- Kunming University (CN)
- Chinese University of Hong Kong (HK)
- Soochow University (CN)
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- Microsystems & Nanoengineering
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1038/s41378-024-00774-6
- Citations
- 26
- Primary Topic
- Soft Robotics and Applications
- Type
- article
- Field-Weighted Citation Impact
- 4.80
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province