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신태민,이건기 慶尙大學校生産技術硏究所 1991 生産技術硏究所論文集 Vol.7 No.-
In this paper, the envelope detection of α-rhythm for the quantitative analysis of EEG signals using homomorphic system is tried. To eliminate power line noise and baseline drift noise included EEG signals, digital filters are designed. Envelope was exactly extracted using homomorphic processing algorithm in α-rhythm. Because this algorithm simple processing in comparison with complex demodulation method and Hilbert transformation method, computation is remarkably reduced. Therefore, this algorithm can be executed the real time, which make it possible to monitoring longterm data. And, although frequency change of neural oscillation signal, it makes possible an exact envelope detection. However, homomorphic processing algorithm bring about leakage of information in envelope detection of low-frequency signals.
구미산업단지 대기중 휘발성유기화합물(VOCs)의 농도특성
최우건,배상호,박덕신,정연구,김태오 한국환경과학회 2004 한국환경과학회지 Vol.13 No.3
This study focuses on the measurement of airborne Volatile Organic Compounds (VOCs) in the Kumi electronic industrial complex during the time periods of August and September, 2002 and January and February, 2003. This study was based on the US-EPA method TO-14 while the VOCs were analyzed with GC/MSD. The toluene level revealed high concentration at all measurement sites. The areal rank of average concentrations of VOCs is as follows : industry l>industry2>urban>middle>residential. Concentrations of VOCs in Kumi electronic industrial ones were generally higher than at Yeochon and Ulsan industrial complexes. Dichloromethane and trichloroethylene, which are used as a cleaner in the process of electronic industries, were observed 4 to 8 times higher than those of other areas. Among the aromatic compounds, toluene showed the highest level, while the concentrations of dichloromethane and trichloroethylene were higher than those of other halogen compounds. In Kumi, toluene, trichloroethylene, and dichloromethane were confirmed as the major compounds of VOCs by this research.
성제중,서동만,신용훈,엄태건,서동섭 한국비파괴검사학회 2003 학술대회 논문집 Vol.- No.1
Ferromagnetic material like the steel tubes can easily distort eddy current testing signal due to increased magnetic permeability for defects. Because magnetic field of the test probe is affected in an inconsistent way when the material under the testing has permeability. This permeability effect can be reduced by magnetic saturation. In this paper eddy current testing system was developed to detect flaws on the steel tubes. Magnetic saturation probe with helmholtz coil was designed for saturation and inspection of the steel tubes. When using the designed test probe, the relationship between flaw signals and noises was obviously discriminated. Additionally, a high pass filter was included in the eddy current board to minimize noises due to DC magnetic field.
박상호,온영근,김현정,이태훈,길효욱,김현건,박수진,송해정,한대희,방덕원,신원용,이내희,김성구,권영주 순천향의학연구소 2003 Journal of Soonchunhyang Medical Science Vol.9 No.1
Background : Microvascular angina or syndrom X is heterogenous and encompasses different pathogenetic entities. Several studies suggest that microvascular angina have good prognosis and occurs predominantly in postmenopausal women. Lipoprotein (a), total cholesterol, LDL-cholesterol, HDL-cholesterol, triglyceride, homocystein, CRP and fibrinogen are the independent risk factor of acute coronary syndrome and are the chief underlying cause of atherosclerosis. We investigated clinical characteristics and markers in patients with microvascular angina. Methods : We studies 23 patients diagnosed with microvascular angina and 16 control group with negative treadmill exercise test and no significant coronary angiogram. We investigated clinical characteristics in patients group and evaluated symptom during a follow-up period of 4.2± 2.5 month. Exercise time in treadmill exercise test was compared between patients and control group. We assessed the level of markers, such as lipoprotein (a), total cholesterol, LDL-cholesterol, HDL-cholesterol, triglyceride, homocystein, CRP and ESR in two groups. Results : There is no difference in age between two groups. Patients group had a tendency to increase in female, hypertension, DM, and smoking history, but there was no statistical significance difference. Exercise duration time was significantly decreased in patients with microvascular angina (p<0,05). Serum lipoprotein (a), total cholesterol, LDL-cholesterol, HDL-cholestrol, Triglyceride, ESR, Fibrinogen and Homocystein value were no significant difference between microvascular angina and control group. Only CRP was significantly high in patients with microvascular angina (p<0.05). Conclusion : There was no statistical significance difference in age, sex, hypertension, DM and smoking history between two groups but patients group had a tendency to increase the prevalence in hypertension, DM and smoking history, female. Also, Symptom improvement and disappearance in follow-up was presented in 11 patients of 19(57.9%). Exercise tolerance was worse in patients group than control group. CRP value was significantly higher in patients group than control group. There was no statistical significance difference in lipoprotein (a), total cholesterol, LDL-cholesterol, HDL-cholesterol, triglyceride, homocystein, ESR and Fibrinogen between two groups.
The relationship between the EEG findings and prognosis in cardiac arrest patients with TH
( Gun Tak Lee ),( Ga Young Chung ),( Tae Rim Lee ),( Won Chul Cha ),( Tae Gun Shin ),( Min Seob Sim ),( Ik Joon Jo ),( Keun Jeong Song ),( Yeon Kwon Jeong ) 대한응급의학회 2013 대한응급의학회 학술대회초록집 Vol.2013 No.2
Objective: It is very difficult to predict neurologic outcome of cardiac arrest survivors. EEG is often used to detect non-convulsive seizure for post-resuscitative patients. However, the relationship between the EEG finding and the neurologic outcome is not well established. Methods: This is a retrospective observational study using a prospectively collected hypothermia registry in a single tertiary hospital. OHCA victimes were enrolled from 2010 to 2012. EEG findings after ROSC were classified into four groups: low voltage, continuous slow wave, burst suppression pattern, and status epilepticus. We compared 1 month CPC score among enrolled patients. Results: During study period, 121 patients were included for the registry. Among these patients, 85 patients had EEG during hypothermia treatment and were enrolled for this study. The EEG patterns showed extremely low voltage for 21 patients, continuous slow wave for 41, burst suppression pattern for 15, and status epilepticus pattern for 8. No patient from the burst suppression pattern or status epilepticus pattern, and only 2 of 21(0.09 95%CI 0.01~0.30) patients from low voltage group showed good neurologic outcome (CPC 1 or 2). However, 27 of 41(0.65 95%CI 0.49~0.79) from the continuous slow wave group showed good neurologic outcome. Conclusion: Burst suppression pattern and status epilepticus pattern on EEG during hypothermia treatment were associated with poor neurologic outcome.
Shin Tae Gun,Lee Youngjoo,Kim Kyuseok,Lee Min Sung,Kwon Joon-myoung 대한응급의학회 2023 Clinical and Experimental Emergency Medicine Vol.10 No.4
Objective Based on the development of artificial intelligence (AI), an emerging number of methods have achieved outstanding performances in the diagnosis of acute myocardial infarction (AMI) using an electrocardiogram (ECG). However, AI-ECG analysis using a multicenter prospective design for detecting AMI has yet to be conducted. This prospective multicenter observational study aims to validate an AI-ECG model for detecting AMI in patients visiting the emergency department.Methods Approximately 9,000 adult patients with chest pain and/or equivalent symptoms of AMI will be enrolled in 18 emergency medical centers in Korea. The AI-ECG analysis algorithm we developed and validated will be used in this study. The primary endpoint is the diagnosis of AMI on the day of visiting the emergency center, and the secondary endpoint is a 30-day major adverse cardiac event. From March 2022, patient registration has begun at centers approved by the institutional review board.Discussion This is the first prospective study designed to identify the efficacy of an AI-based 12-lead ECG analysis algorithm for diagnosing AMI in emergency departments across multiple centers. This study may provide insights into the utility of deep learning in detecting AMI on electrocardiograms in emergency departments.Trial registration ClinicalTrials.gov identifier: NCT05435391. Registered on June 28, 2022.