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비강압력신호를 이용한 수면호흡장애 환자의 수면/각성 분류
박종욱,정필수,강규민,이경중,Park, Jong-Uk,Jeoung, Pil-Soo,Kang, Kyu-Min,Lee, Kyoung-Joung 대한의용생체공학회 2016 의공학회지 Vol.37 No.4
This study proposes the feasibility for automatic classification of sleep/wakefulness using nasal pressure in patients with sleep-disordered breathing (SDB). First, SDB events were detected using the methods developed in our previous studies. In epochs for normal breathing, we extracted the features for classifying sleep/wakefulness based on time-domain, frequency-domain and non-linear analysis. And then, we conducted the independent two-sample t-test and calculated Mahalanobis distance (MD) between the two categories. As a results, $SD_{LEN}$ (MD = 0.84, p < 0.01), $P_{HF}$ (MD = 0.81, p < 0.01), $SD_{AMP}$ (MD = 0.76, p = 0.031) and $MEAN_{AMP}$ (MD = 0.75, p = 0.027) were selected as optimal feature. We classified sleep/wakefulness based on support vector machine (SVM). The classification results showed mean of sensitivity (Sen.), specificity (Spc.) and accuracy (Acc.) of 60.5%, 89.0% and 84.8% respectively. This method showed the possibilities to automatically classify sleep/wakefulness only using nasal pressure.
부산 일부지역 근로자들의 재해성 요부손상에 대한 사회의학적 조사
박종욱,김돈균,이수일,조병만,조봉수,김영욱,Park, Jong-Ook,Kim, Don-Kyoun,Lee, Su-Ill,Cho, Byung-Mann,Cho, Bong-Soo,Kim, Young-Wook 대한예방의학회 1994 Journal of Preventive Medicine and Public Health Vol.27 No.2
This survey was performed to obtain the basic information for the prevention and management of occupational low back injury (LBI). The subjects of this survey were 952 workers (male, 892 ; female, 60) who had taken occupational LBI in some industries of Pusan area from January 1 to December 31, 1991. Observation period was 2.6 years from the beginning to the end of medical treatment. The obtained results were summarized as follows ; 1. The proportion of LBI workers was 15.9% of the workers who had taken any occpational injuries and 0.32% of all workers in this surveyed area. 2. 8.0% of the workers had taken LBI on the 1st day of employment and 55.2% of the workers were within one year, 91.4% of the workers were within 10 years according to cumulative frequency distribution. 3. Handling of heavy objects was the most common cause of LBI (32.0%) and fall down (26.9%) and slip down (16.3%) were the next in order. 4. The most common causes of both lumbar sprain and HNP were handling of heavy objects and that of lumbar fracture was fall down. 5. The mean duration for medical treatment of LBI workers was 143 days. 6. The total direct compensation cost for LBI workers was 6,736 million Won and the proportion of medical, resting, disability compensation costs were 25.0%, 37.0%, 38.0 % respectively. 7. The percentages of retreated workers and disabled workers were 11.9% (113 persons) and 22.9% (218 persons) of total LBI workers respectively.
박종욱,권구정,김병일,이정윤,Park, Jong-Wook,Kwon, Koo-Jung,Kim, Byoung-Il,Lee, Jung-Yoon 대한건축학회 2011 대한건축학회논문집 Vol.27 No.8
Plastic hinges are generally developed at both ends of reinforced concrete (RC) beams in the post-yield region. To complete the plastic deformation mechanism, column plastic hinges at the base of the structure are also required. The longitudinal axial strain in the plastic hinge regions of RC columns has a significant influence on the behavior of RC structures subjected to reversed cyclic loading. This strain affects energy dissipation in the hysteretic response by causing the sliding along interconnecting wide flexural cracks. In addition, the strain also influences on the deformability of RC structures. In order to investigate the effects of the axial force on the axial strain in the plastic hinge region of RC members, experimental and analytical study was performed with ten RC members subjected to reversed cyclic loading. The experimental and analytical results indicated that the axial force significantly decreased the axial strain in the plastic hinge region of RC members.
박종욱,이전,이효기,김호중,이경중,Park, Jong-Uk,Lee, Jeon,Lee, Hyo-Ki,Kim, Hojoong,Lee, Kyoung-Joung 대한의용생체공학회 2013 의공학회지 Vol.34 No.3
Respiratory signal is one of the important physiological information indicating the status and function of the body. Recent studies have provided the possibility of being able to estimate the respiratory signal by using a change of PWV(pulse width variability), PRV(pulse rate variability) and PAV(pulse amplitude variability) in the PPG (photoplethysmography) signal during daily life. But, it is not clear whether the respiratory monitoring is possible even during sleep. Therefore, in this paper, we estimated the respiration from PWV, PRV and PAV of PPG signals during sleep. In addition, respiration rates of the estimated respiration signal were calculated through a time-frequency analysis, and errors between respiration rates calculated from each parameter and from reference signal were evaluated in terms of 1 sec, 10 sec and 1 min. As a result, it showed the errors in PWV(1s: $36.38{\pm}37.69$ mHz, 10s: $36.53{\pm}38.16$ mHz, 60s: $30.35{\pm}38.72$ mHz), in PRV(1s: $1.45{\pm}1.38$ mHz, 10s: $1.44{\pm}1.37$ mHz, 60s: $0.45{\pm}0.56$ mHz), and in PAV(1s: $1.05{\pm}0.81$ mHz, 10s: $1.05{\pm}0.79$ mHz, 60s: $0.56{\pm}0.93$ mHz). The errors in PRV and PAV are lower than that of PWV. Finally, we concluded that PRV and PAV are more effective than PWV in monitoring the respiration in daily life as well as during sleep.
박종욱(Jongwook Park),박경택(Kyongtek Park),박성주(Sungju Park) 한국정보과학회 1997 한국정보과학회 학술발표논문집 Vol.24 No.2Ⅱ
순차회로에서 테스트패턴 생성을 용이하게 하기 위하여 완전스캔 및 부분스캔 기술이 널리 이용되고 있다. 스캔설계로 인한 추가영역 및 속도지연을 최소화하고 최대의 고장 점검도를 목표로 하는 부분스캔 기술은 그래프 모델링[1], 테스트 가능도[2], 상위 수준에서의 구조분석[3,4] 등으로 구분할 수 있다. 본 연구에서는 구조분석에 의한 부분시캔과 테스트 가능도를 이용한 부분스캔 기술을 소개하고 각각의 기술에 의한 실험결과를 비교 · 분석한다. 어떤 순차회로에서는 구조분석에 의한 방법의 점검도가 높고 또 다른 회로에서는 테스트 가능도에 의한 스캔설계가 높은 점검도를 나타냄을 관측하였다. 이러한 두 가지 기술의 장단점을 분석하여 통합함으로써 최상의 고장점검도를 이룰 수 있는 새로운 방법을 제안한다.
박종욱(Jongwook Park),박경택(Kyongtek Park),조상욱(Sangwook Cho),박성주(Sungju Park) 한국정보과학회 1997 한국정보과학회 학술발표논문집 Vol.24 No.2Ⅱ
일반적인 메모리테스트에 있어서 고장점검을 위한 테스트패턴의 생성방법으로는 각각의 고장모델에 대한 테스트패턴을 Deterministic하게 생성해주는 방법과 테스트패턴 생성기로서 Pseudo Random Pattern Generator(PRPG)를 이용하여 생성하는 방법 두 가지의 경우로 구분할 수 있다. 본 연구에서는 PRPG를 사용하여 여러 가지 메모리의 결함을 대표한다고 볼 수 있는 Static 및 Dynamic Neighborhood Pattern Sensitive Fault(NPSF) 등 다양한 종류의 고장을 점검할 수 있도록 메모리 BIST를 상위수준 언어인 VHDL로 설계하고 합성하였다. 메모리 BIST를 위한 번지생성기로는 5셀 Tiling방법과 점진적 방법을 사용하여 각각 구현하고 이를 시뮬레이션 하여 기존의 Linear Feedback Shift Register(LFSR)보다 본 연구에서 패턴생성기로 사용한 LFSR의 메모리고장 점검도가 향상되었음을 보였다. 마지막으로 두 가지 번지생성 방법의 합성결과를 비교분석하여 메모리 크기에 따라 예상되는 메모리 BIST의 추가영역을 제시하였다.