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탑승자 교통사고에서 경추손상 판단을 위한 중증도 요인 분석
이희영,육현,공준석,강찬영,성실,이정훈,김호중,김상철,추연일,전혁진,박종찬,최지훈,이강현,Lee, Hee Young,Youk, Hyun,Kong, Joon Seok,Kang, Chan Young,Sung, Sil,Lee, Jung Hun,Kim, Ho Jung,Kim, Sang Chul,Choo, Yeon Il,Jeon, Hyeok Jin,Park, Jon 한국자동차안전학회 2018 자동차안전학회지 Vol.10 No.3
It was a pilot study for developing an algorithm to determine the presence or absence of cervical spine injury by analyzing the severity factor of the patients in motor vehicle occupant accidents. From August 2012 to October 2016, we used the KIDAS database, called as Korean In-Depth Accident Study database, collected from three regional emergency centers. We analyzed the general characteristics with several factors. Moreover, cervical spine injury patients were divided into two groups: Group 1 for from Quebec Task Force (hereinafter 'QTF') grade 0 to 1, and group 2 for from QTF grade 2 to 4. The score was assigned according to the distribution ratio of cervical spine injured patients compared to the total injured patients, and the cut-off value was derived from the total score by summation of the assigned score of each factors. 987 patients (53.0%) had no cervical spine injuries and 874 patients (47.0%) had cervical spine injuries. QTF grade 2 was found in 171 patients (9.2%) with musculoskeletal pain, QTF grade 3 was found in 38 patients (2.0%) with spinal cord injuries, and QTF grade 4 was found in 119 patients (6.4%) with dislocation or fracture, respectively. We selected the statistically significant factors, which could be affected the cervical spine injury, like the collision direction, the seating position, the deformation extent, the vehicle type and the frontal airbag deployment. Total score, summation of the assigned each factors, 10 was presented as a cut-off value to determine the cervical spine injury. In this study, it was meaningful as a pilot study to develop algorithms by selecting limited influence factors and proposing cut-off value to determine cervical spine injury. However, since the number of data samples was too small, additional data collection and influencing factor analysis should be performed to develop a more delicate algorithm.
한국형 실사고 심층조사 데이터베이스 질향상을 위한 차량속도(ΔV) 측정방법에 관한 연구
추연일,이강현,공준석,이희영,전준호,박종진,김상철,Choo, Yeon Il,Lee, Kang Hyun,Kong, Joon Seok,Lee, Hee Young,Jeon, Joon Ho,Park, Jong Jin,Kim, Sang Chul 한국자동차안전학회 2020 자동차안전학회지 Vol.12 No.2
Modern traffic accidents are a complex occurrence. Various indicators are needed to analyze traffic accidents. Countries that have been investigating traffic accidents for a long time accumulate various data to analyze traffic accidents. The Korean In-Depth Accident Study (KIDAS) database collected damaged vehicles and severity of injury caused by Collision Deformation Classification code (CDC code), Abbreviated Injury Scale (AIS), and Injury Severity Score (ISS). As a result of the investigation, data relating to the injuries of the occupants can be easily obtained, but it was difficult to analyze human severity based on the information of the damaged vehicle. This study suggests a method to measure the speed change at the time of an accident, which is one of the most important indicators in the vehicle crash database, to help advance KIDAS research.