1. Sensor-Embedded Automatic Grasping Forceps for Precise Corneal Suture in Penetrating Keratoplasty
- Author
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Keehoon Kim, Ikjong Park, Hong Kyun Kim, Hyung-Gon Shin, and Wan Kyun Chung
- Subjects
0209 industrial biotechnology ,Computer science ,medicine.medical_treatment ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,02 engineering and technology ,keratoplasty ,Article ,03 medical and health sciences ,020901 industrial engineering & automation ,0302 clinical medicine ,Suture (anatomy) ,Cornea ,Hand tremor ,TJ1-1570 ,medicine ,Mechanical engineering and machinery ,Electrical and Electronic Engineering ,Corneal transplantation ,microfabrication ,medical robot ,Grasping forceps ,Functional vision ,Medical robot ,Mechanical Engineering ,eye diseases ,Transplantation ,corneal transplantation ,medicine.anatomical_structure ,Control and Systems Engineering ,030221 ophthalmology & optometry ,Biomedical engineering - Abstract
In penetrating keratoplasty (PKP), the proper corneal suture placement is very important for successful transplantation and restoring functional vision. Generating sutures with accurate depth is difficult for the surgeon because of the tissue’s softness, lack of depth information, and hand tremors. In this paper, an automatic cornea grasping device is proposed, which detects when the device reaches the target suture depth. When the device reaches the target depth, the device rapidly grasps the cornea to prevent error induced by human hand tremors. In the paper, the performance of the proposed sensor, the actuator, and the device are experimentally verified with ex vivo experiment. The result showed that the proposed device could enhance the accuracy and precision of the corneal suture depth.
- Published
- 2021
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