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이승화,유준 한국정보과학회 2022 정보과학회논문지 Vol.49 No.5
Drunk driving may cause traffic accidents that result in human casualties. Even though most people are well aware of the danger, many traffic accidents still occur due to poor judgement caused by drinking. In this paper, we propose a drunk driving detection system using wearable devices. First, we use a smart watch, a wearable device, to collect data using only general-purpose sensors and sends the data via a smart phone to a server that performs machine learning to determine if the user is drinking. Then, the driver detection algorithm, which uses in-car beacons, sends a warning to the user to prevent drunk driving. We implemented the system on a smart watch, smart phone, and server, and also developed a practical user mobile app. The results showed that the accuracy of drinking detection and driver detection algorithms were around 92% and 99%, respectively. 음주 운전은 교통사고에 따른 인명피해를 불러일으킬 수 있다. 음주운전의 위험성이 충분히 각인되고 있음에도 불구하고 음주상태에서는 저하된 판단력으로 인하여 음주운전 교통사고는 매년 다수 발생하고 있다. 본 논문에서는 웨어러블 기기를 이용한 음주운전 감지시스템을 제안한다. 먼저 웨어러블 디바이스인 스마트워치의 범용적인 센서만을 이용하여 데이터를 수집한 후 스마트폰을 통해 서버에 전송하여 머신러닝을 수행하여 음주여부를 판단한다. 이후 차량 내 비콘을 이용한 운전자 감지 알고리즘에 의해 사용자에게 경보를 줌으로써 음주운전을 방지한다. 본 연구에서는 음주 운전을 방지할 수 있도록 하는 시스템을 스마트워치, 스마트폰과 서버에 실제 구현하고 실용화할 수 있는 앱을 개발하였다. 실험 결과 음주운전 판단 정확도는 약 92%, 운전자 감지 알고리즘은 약 99%의 결과를 나타냈다.
협조에 어려움을 보이는 장애인 환자에서 전신마취 전 경구 Midazolam 전투약의 효과 분석
이승화,서광석,신터전,김현정,한효조,장주혜,Lee, Brian Seong-Hwa,Seo, Kwang-Suk,Shin, Teo-Jeon,Kim, Hyun-Jeong,Han, Hyo-Jo,Chang, Ju-Hea 대한치과마취과학회 2011 Journal of Dental Anesthesia and Pain Medicine Vol.11 No.2
Background: Adult patients with intellectual disabilities often strongly resist the anesthetic administration for dental procedures. This study aimed to evaluate the effect of midazolam premedication in improving the cooperation level of patients who are likely to be combative and irritated during general anesthesia (GA) induction. Methods: The patients who had received dental treatment under ambulatory GA for more than two times were included. And we selected 13 patients total that needed physical restraint or ketamine IM prior to induction at the first GA, and were prescribed midazolam tablet (7.5-15 mg) at the following GA. We reviewed pre-anesthetic records and anesthesia records, and evaluated cooperative levels of patients (4 levels scale) during anesthesia induction and recovery time retrospectively. Results: All 13 patients (Male 11, Female 2) had severe mental disabilities. The average age of the patients was 24 ${\pm}$ 7 (13-37) years and their average weight was 58 ${\pm}$ 16 (34-91) kg. At the first GA, 10 patients needed physical restraint prior to induction (level 3). And 3 patients were so poorly cooperative that the induction procedure was performed after intramuscular injection of ketamine (level 4). But after the midazolam intake, 7 patients were willing to receive the anesthetic induction (level 1, 2), and 6 patient needed physical restraint (P < 0.05). There were no statistical differences in the duration of general anesthesia and postoperative recovery. Conclusions: Oral intake of midazolam was effective in improvement of cooperation without any complications.