인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Bone drilling is a procedure routinely performed in orthopedic surgery to create screw insertion paths. When the drill bit breaks through the distal cortical bone, over-drilling may occur due to residual axial force and rotational or feed inertia, potentially damaging surrounding soft tissues, blood vessels, nerves, and adjacent anatomical structures. This paper proposes an attachable piezoelectric sensor-based vibration signal processing method for real-time detection of distal cortical bone breakthrough while requiring minimal mechanical modifications to existing surgical drill devices. The piezoelectric vibration sensor is a passive element that can be attached to the outer surface of the drill sleeve without further hardware modifications. Therefore, it offers advantages in terms of low sensor cost and easy applicability to existing drill systems. In the proposed method, the vibration signal measured by the piezoelectric sensor is analyzed using a DQ-transformation-based synchronous detection method to identify the timing of distal cortical bone breakthrough. The detected breakthrough signal is then used to automatically stop the drill, thereby helping to limit over-drilling. By applying the DQ transformation, the target frequency component is converted into a DC component in the rotating reference frame, enabling the component to be extracted using only a low-pass filter with a fixed cutoff frequency. Therefore, even when the driving frequency of the drill rotation motor changes, consistent detection characteristics can be obtained without redesigning the filter. In addition, the detection threshold for breakthrough judgment is determined using the signal acquired during drilling of the proximal cortical bone and then applied to the distal cortical bone drilling section. This allows the proposed method to adapt to variations in vibration signal magnitude caused by differences in bone properties and drilling conditions. Based on the proposed method, a program was implemented to detect distal cortical bone breakthrough in real time and automatically stop drill rotation and axial feed. Repeated experiments using model bones confirmed that the proposed method can detect distal cortical bone breakthrough even under varying drill motor driving frequency conditions. In the automatic stop experiment, the mean protrusion length of the drill bit beyond the distal cortical bone was 1.01mm, and the maximum protrusion length was 1.3mm.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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