2012-08-012024-05-13https://scholars.lib.ntu.edu.tw/handle/123456789/648972摘要:因著醫療科技的大幅進步以及社會大眾的高度期待,微創手術已成為各項手術的主流發展方向。內視鏡輔助的手術為整組人員的作業,手術時間的長短則取決於手術的困難度及手術者的能力。助手(住院醫師、實習醫師)協助的工作主要是負責拿內視鏡及輔助器械,因腹腔鏡是團隊的眼睛,助手掌鏡的能力及穩定度決定手術是否能順利進行。因應外科人力的短缺及未來工作時數的限制,發展智慧型機器人微創手術輔助系統解決此困境及協助微創手術的進行是必要的,住院醫師得以有時間跟精力學習更高階的技巧,整體提高醫療經濟效益。而機器人輔助手術的系統設計需達一定的能力及安全性,以符合臨床實用的需求,其能力應在資深住院醫師之水準之上,俾能順利協助內視鏡手術進行。本研究的目的在於1. 建立各層級醫師協助之腹腔鏡手術時間及常見的錯誤,以利於設定「無感知器具力量偵測功能之多自由度智慧型機器人微創手術輔助系統」之常模。2. 對電機工程團隊研發之「無感知器具力量偵測功能之多自由度智慧型機器人微創手術輔助系統」,進行離體器官及動物實驗。希以與所建立各層級醫師協助之腹腔鏡手術時間及錯誤常模做比較,測試此輔助系統於臨床運用之適用性及可信性。<br> Abstract: Because of the advance development of medical technology and highly expectionfrom the public, minimally invasice surgery is the main trend in many fields.Endoscopic assisted surgery depands on team work and the length of operationdepands on the difficuty of operations and the competence of the operator. Surgicalassistants (residents, medical students) help to hold the endoscope and instruments.Their ability to follow the operator’s order and keep the camera stable is the keyelement to undergo the whole operation. To develop a Robotic-assisted surgerysystem is essential for dealing with the shortage of surgical residents and restrictionsof working hours. However, the ability and safety of a new system should bevalidated. The aims of our study are 1. To understand the ability and common errorsof different levels assistants who are assiting the lapascopic procedures for settingthe mode of the “Intelligent Multi-DOF Robotic Endoscope System”; 2. To validatethe “Intelligent Multi-DOF Robotic Endoscope System”by assisting laparoscopicprocedures in organs and animal study. We compare the two studies and set up thefeasibility and reliability of Intelligent Multi-DOF Robotic Endoscope System withSensorless Force Detection for Assistive Minimally Invasive Surgery”.機器人輔助手術微創手術適用性可信性能力Robotic-assited surgeryMinimally invasive surgeryfeasibilityreliabilitycompetenceThe Feasibility and Reliability of “Intelligent Multi-Dof Robotic Endoscope System with Sensorless Force Detection for Assistive Minimally Invasive Surgery”(2nd, 3rd Year)