Document Detail


Force-detecting gripper and force feedback system for neurosurgery applications.
MedLine Citation:
PMID:  23315003     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Purpose For the application of less invasive robotic neurosurgery to the resection of deep-seated tumors, a prototype system of a force-detecting gripper with a flexible micromanipulator and force feedback to the operating unit will be developed. Methods Gripping force applied on the gripper is detected by strain gauges attached to the gripper clip. The signal is transmitted to the amplifier by wires running through the inner tube of the manipulator. Proportional force is applied on the finger lever of the operating unit by the surgeon using a bilateral control program. A pulling force experienced by the gripper is also detected at the gripper clip. The signal for the pulling force is transmitted in a manner identical to that mentioned previously, and the proportional torque is applied on the touching roller of the finger lever of the operating unit. The surgeon can feel the gripping force as the resistance of the operating force of the finger and can feel the pulling force as the friction at the finger surface. Results A basic operation test showed that both the gripping force and pulling force were clearly detected in the gripping of soft material and that the operator could feel the gripping force and pulling force at the finger lever of the operating unit. Conclusions A prototype of the force feedback in the microgripping manipulator system has been developed. The system will be useful for removing deep-seated brain tumors in future master-slave-type robotic neurosurgery.
Authors:
Takeshi Yoneyama; Tetsuyou Watanabe; Hiroyuki Kagawa; Junichiro Hamada; Yutaka Hayashi; Mitsutoshi Nakada
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-13
Journal Detail:
Title:  International journal of computer assisted radiology and surgery     Volume:  -     ISSN:  1861-6429     ISO Abbreviation:  Int J Comput Assist Radiol Surg     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101499225     Medline TA:  Int J Comput Assist Radiol Surg     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
School of Mechanical Engineering, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan, yoneyama@t.kanazawa-u.ac.jp.
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