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장선오,김종선,오승하,박준범,안순현,황찬호,구자원 대한이비인후과학회 2002 대한이비인후과학회지 두경부외과학 Vol.45 No.2
Background and Objectives:With advances in techniques in the field of otology, we can now offer better treatment to patients with the conductive hearing loss. Otosclerosis is rare in the mongoloids so the diagnosis and treatment modality are (HRCT) of patients with otsc-lerosis who were confirmed through explotympanotomy and found that there were specific radiological finding relevant to otsclerosis. The purpose of this study was to understand the HRCT findings of otosclerosis in order to provide more information about the disease. Materials and Methods:We selected 42 HRCT available patients of 126 patients who were operated in (scan thickness 1 mm, scan interval 1 mm) CT scanner. Results:There were radiolucent lesions in 48 ears (62% ). The lesi-ons were found in the fisula ante fenestram, cochlea, and the semicircular canal. Conclusions:HRCT could be used as an adjunctive diagnostic tool for the detection of otosclerotic lesion, stapedial or cochlear. We could find positive findings in 62% of the patients who showed progresive and conductive hearing loss. (Korean J Otolaryngol 2002;45:118-21)
소아 전농 환자에서 인공 와우 이식 수술 후에 발생하는안면 신경 연축의 임상 양상 및 해결 방안
장선오,최병윤,홍성룡,김형미,박민현,송재준,오승하,김종선 대한이비인후과학회 2006 대한이비인후과학회지 두경부외과학 Vol.49 No.4
Background and Objectives:Facial nerve stimulation (FNS) as a complication of cochlear implantation can produce significant discomfort, limit effective use of cochlear implant, and require extensive reprogramming in some patients. The purpose of this study is to review the clinical features of children with FNS after cochlear implantation and to discuss its possible solutions. Subjects and Method:Thirteen children who had FNS after cochlear implantation were included. Their medical records were reviewed retrospectively regarding the presence of inner ear anomaly (IEA), the programming techniques for cochlear implant, timing and progression of FNS, and the management of it. Results:Ten out of 13 children (76.9%) with FNS had IEA. In those 10 patients with IEA, FNS appeared within 6 months from the operation and showed a tendency of being relevant to all electrodes. Authors used four methods to eliminate FNS. They included (a) turning off the specific electrodes when FNS seems related to some specific electrodes, (b) changing the coding strategy or the programming mode, which proved not to be effective, (c) reducing the C-level, which resulted in severe narrowing of dynamic range as well as a relative control of FNS, and (d) surgical exploration in specific cases. Conclusion:FNS after CI is at greater risk for IEA. FNS in those cases can interfere with the progression of speech development. This should be sufficiently informed of the parents of CI candidates with IEA preoperatively. Surgical exploration can be reserved for elimination of FNS in specific cases. (Korean J Otolaryngol 2006;49:371-7)
장선오,이상엽,박기홍,신재곤,엄성욱,조성우 한국ITS학회 2022 한국ITS학회논문지 Vol.21 No.1
자율주행 차량은 레이더, 라이다 카메라 등 다양한 로컬 센서들을 활용하여 주변 환경을 인지하고 판단하여 주행한다. 하지만 로컬 센서만을 활용하여 주행할 경우 인지 범위 한계로 장애물에 가려진 보행자나 자전거와 같은 VRU(Vulnerable Road User, 취약 도로 사용자)의 거 동 정보를 예측하기 어렵다. 본 논문에서는 이러한 로컬 센서의 한계를 극복하기 위해 V2X 통신 정보를 활용한 VRU 충돌 회피 알고리즘을 개발하였다. 알고리즘은 인프라로부터 충돌 위험이 있는 VRU의 정보를 전달 받아 미래 거동을 예측하고 주변 환경에 따라 적절하게 조향 및 제동 회피를 수행하도록 설계하였다. 개발된 알고리즘을 검증하기 위하여 다양한 조건의 시나리오에서 시뮬레이션을 수행하였으며, 그 결과, 기존 로컬 센서 정보만을 활용하였을 때 보다 개선된 충돌 회피 성능을 보일 뿐만 아니라, 차량의 안정성 또한 확보할 수 있음을 확인 하였다. Autonomous vehicles use various local sensors such as camera, radar, and lidar to perceive the surrounding environment. However, it is difficult to predict the movement of vulnerable road users using only local sensors that are subject to limits in cognitive range. This is true especially when these users are blocked from view by obstacles. Hence, this paper developed an algorithm for collision avoidance with VRU using V2X information. The main purpose of this collision avoidance system is to overcome the limitations of the local sensors. The algorithm first evaluates the risk of collision, based on the current driving condition and the V2X information of the VRU. Subsequently, the algorithm takes one of four evasive actions; steering, braking, steering after braking, and braking after steering. A simulation was performed under various conditions. The results of the simulation confirmed that the algorithm could significantly improve the performance of the collision avoidance system while securing vehicle stability during evasive maneuvers.