폐쇄성수면 무호흡 환자의 자세변환 시스템 구현

예수영,엄상희,Ye, Soo-young,Eum, Sang-hee 한국정보통신학회 2017 한국정보통신학회논문지 Vol.21 No.6

In this study, we developed a system that can change position to improve obstructive sleep apnea. Blocking of the breathing airway caused by obstruction of the apnea, lateral position is provided by the airway to improve the apnea. We used a pressure sensor (FSR402) in the form of an array to determine the position of patient. The air cylinder was controlled to raise and lower the bed. As a result of calculating the pressure difference between the supine position and the lateral position, it was $0.41{\pm}0.30$ and $1.09{\pm}0.73$. In other words, when the patient is lateral position, the difference between the sensor values on the right and left side is large. Therefore, it is confirmed that the system can maintain airway to breath for improvement of obstructive sleep.

Small Target Detecting and Tracking Using Mean Shifter Guided Kalman Filter

예수영,주재흠,남기곤 한국전기전자재료학회 2013 Transactions on Electrical and Electronic Material Vol.14 No.4

Because of the importance of small target detection in infrared images, many studies have been carried out in this area. Using a Kalman filter and mean shift algorithm, this study proposes an algorithm to track multiple small moving targets even in cases of target disappearance and appearance in serial infrared images in an environment with many noises. Difference images, which highlight the background images estimated with a background estimation filter from the original images, have a relatively very bright value, which becomes a candidate target area. Multiple target tracking consists of a Kalman filter section (target position prediction) and candidate target classification section (target selection). The system removes error detection from the detection results of candidate targets in still images and associates targets in serial images. The final target detection locations were revised with the mean shift algorithm to have comparatively low tracking location errors and allow for continuous tracking with standard model updating. In the experiment with actual marine infrared serial images, the proposed system was compared with the Kalman filter method and mean shift algorithm. As a result, the proposed system recorded the lowest tracking location errors and ensured stable tracking with no tracking location diffusion.

뇌파 스펙트럼 분석에 의한 마취 심도 지표 개발

예수영,백승완,김재형,박준모,전계록,Ye, Soo-Young,Baik, Swang-Wan,Kim, Jae-Hyung,Park, Jun-Mo,Jeon, Gye-Rok 대한의용생체공학회 2009 의공학회지 Vol.30 No.4

In this paper, new index was developed to estimate the depth of anesthesia during general anesthesia using EEG. Analysis of the power spectral density(PSD) of EEG was used to develop new parameters because EEG signal tends to have slow wave during anesthesia. Classifier for index creator was developed by using SEF, BDR and BTR parameters, which are calculated by power spectral density. EEG data were obtained from 7 patients (ASA I, II) during general anesthesia with Sevoflurane. The anesthetic depth evaluation indexes ranged from 0 to 100. The average were $86.05{\pm}10.1$, $36.98{\pm}20.2$, $15.33{\pm}13.6$, $50.87{\pm}16.5$ and $87.72{\pm}11.7$ for the states of pre-operation, induction of anesthesia, operation, awaked and post-operation, respectively. The results show that while the depth of anesthesia was evaluated, more accurate information can be provided for anesthetician.

폐쇄성 수면 무호흡 검출을 위한 심박동변이율 분석

예수영,김정국,김동현,Ye, Soo-Young,Kim, Jung-Guk,Kim, Dong-Hyun 한국전기전자재료학회 2011 전기전자재료학회논문지 Vol.24 No.7

In this study, OSA (the obstructive sleep apnea) periods were detected in patients with OSA during sleep because of the treatment was different according to the frequency and symptoms of obstructive sleep apnea. ANS (autonomic nervous activity) was changed by obstructive sleep apnea periods so we intended to detect the periods to care the obstructive sleep apnea patients. RR intervals, SDNN (standard deviation of normal to normal) and RMSSD (root mean square standard deviation) were calculated in time domain analysis and LF (low frequency), HF (high frequency), NHF (normalized high frequency), NLF (normalized low frequency) were calculated in frequency domain analysis of HRV (heart rate variability) with obstructive sleep apnea patients. In this paper, SDNN (standard deviation of normal to normal) of time domain analysis were decreased in the obstructive sleep apnea periods. And NLF and LF/HF ratio were increased and NHF (normalized high frequency) was decreased in the frequency domain analysis. The parameters can be used to treat obstructive sleep apnea patients by detecting the obstructive sleep apnea periods such as CPAP (continuous positive airway pressure).

The Detection of Rectangular Shape Objects Using Matching Schema

예수영,최준영,남기곤 한국전기전자재료학회 2016 Transactions on Electrical and Electronic Material Vol.17 No.6

Rectangular shape detection plays an important role in many image recognition systems. However, it requirescontinued research for its improved performance. In this study, we propose a strong rectangular shape detectionalgorithm, which combines the canny edge and line detection algorithms based on the perpendicularity andparallelism of a rectangle. First, we use the canny edge detection algorithm in order to obtain an image edge map. Wethen find the edge of the contour by using the connected component and find each edge contour from the edge mapby using a DP (douglas-peucker) algorithm, and convert the contour into a polyline segment by using a DP algorithm. Each of the segments is compared with each other to calculate parallelism, whether or not the segment intersectsthe perpendicularity intersecting corner necessary to detect the rectangular shape. Using the perpendicularity andthe parallelism, the four best line segments are selected and whether a determined the rectangular shape about thecombination. According to the result of the experiment, the proposed rectangular shape detection algorithm stronglyshowed the size, location, direction, and color of the various objects. In addition, the proposed algorithm is applied tothe license plate detecting and it wants to show the strength of the results.

색상보정 및 패턴 정합기법을 이용한 LCD 패턴검사에 관한 연구

예수영,남기곤,유충웅 한국융합신호처리학회 2006 융합신호처리학회 논문지 (JISPS) Vol.15 No.1

In this paper, we propose a method for the pattern inspection of LCD module using the color compensation and pattern matching. The pattern matching is generally used for the inspection method of LCD module at the industry. LCD module has many defections such as the brightness difference of the back light, the optic feature of liquid crystal, the difference of the light penetrated by driving LCD and the color difference by the lighting. The conventional method without the color compensation can not solve these defections and decreases the efficiency of inspecting LCD module. The method proposed to inspect defective badness through the pattern matching after it compensated color difference of the LCD occurred by the various causes. At first, it revises with setting by standard tone of color with the LCD pattern of the reference image.And It perform the preprocessing and pattern matching algorithm on the compensated image. In experiment, we confirmed that this algorithm is useful to detect some defections of LCD module. The proposed methods was easy to detect the faulty product. 본 논문에서는 LCD 조립이 완료된 제품에 대해 색상보정 기법을 이용한 LCD 패턴검사 방법을 제안하였다. 기존의 검사 시스템은 패턴 매칭에 의한 검사 기법을 많이 사용하고 있다. 이러한 방법은 LCD의 백라이트(back light) 장치의 휘도차이, 액정의 광특성, 구동특성에 의해 투과되는 빛의 차이, 주위 조명에 의한 색차 등을 보정 할 수 없으며, 또한 이로 인해 불량검출의 효율성을 저하시키는 원인이 된다. 제안하는 검사 방법은 다양한 원인에 의해 발생하는 LCD의 색상 차를 보정한 후 패턴 매칭을 통해 불량을 검출하는 방법이다. 먼저, 검사 대상인 LCD 패턴의 색상을 기준 영상에서 설정된 색상으로 보정한다. 색상이 보정된 영상은 다양한 전처리 기법을 적용하여 패턴 검사를 수행한다. 실험을 통하여 본 연구에서 제안한 알고리듬은 LCD 패널에서 여러 가지 불량품을 검출 할 수 있었고, 또한 제안된 방식은 기존의 방식과 비교하여 불량 검출이 용이함을 알 수 있었다.

HRV 신호의 선형 및 비선형 분석을 이용한 마취심도 평가

예수영,백승완,김혜진,김태균,전계록,Ye, Soo-Young,Baik, Seong-Wan,Kim, Hye-Jin,Kim, Tae-Kyun,Jeon, Gye-Rok 한국전기전자재료학회 2010 전기전자재료학회논문지 Vol.23 No.1

In general, anesthetic depth is evaluated by experience of anesthesiologist based on the changes of blood pressure and pulse rate. So it is difficult to guarantee the accuracy in evaluation of anesthetic depth. The efforts to develop the objective index for evaluation of anesthetic depth were continued but there was few progression in this area. Heart rate variability provides much information of autonomic activity of cardiovascular system and almost all anesthetics depress the autonomic activity. Novel monitoring system which can simply and exactly analyze the autonomic activity of cardiovascular system will provide important information for evaluation of anesthetic depth. We investigated the anesthetic depth as following 7 stages. These are pre-anesthesia, induction, skin incision, before extubation, after extubation, Post-anesthesia. In this study, temporal, frequency and chaos analysis method were used to analyze the HRV time series from electrocardiogram signal. There were NN10-NN50, mean, SDNN and RMS parameter in the temporal method. In the frequency method, there are LF and HF and LF/HF ratio, 1/f noise, alphal and alpha2 of DFA analysis parameter. In the chaos analysis, there are CD, entropy and LPE. Chaos analysis method was valuable to estimate the anesthetic depth compared with temporal and frequency method. Because human body was involved the choastic character.

사진 영상을 이용한 머리척추각 자동 측정 프로그램 개발

예수영,김종순 대한고유수용성신경근촉진법학회 2024 PNF and Movement Vol.22 No.1

Purpose: The prevalent use of mobile devices may contribute to musculoskeletal disorders, such as forward head posture (FHP),among users. The measurement of the craniovertebral angle (CVA) using photographic images is frequently employed in assessingFHP. Although manual CVA measurement using photographic images is reliable in clinical settings, computer programs or mobileapplications to support tele-physical therapy are not yet fully developed. Therefore, in the current study, we propose an automaticmethod for extracting CVA from photographic images of FHP subjects to facilitate tele-physical therapy. Methods: To develop the automatic CVA measuring computer program, photographic images were obtained from 10 FHPparticipants. The location information obtained from the markers attached to the tragus and the spinous process of the seventhcervical vertebra were used as coordinates. Using these coordinates, straight line 1 was generated by connecting the seventh spinousprocess of the cervical vertebra and the tragus, while straight line 2 was drawn parallel to the coordinate obtained from the seventhspinous process of the cervical vertebra. The arc tangent function was used to calculate the angle between the two straight lines. The automatic CVA measurement computer program utilizing photographic images was developed using MATLAB (ver. 2016b). Results: The results showed that the automatic CVA measurement computer program demonstrated stable repeatability andhigh accuracy. Conclusion: The proposed approach was able to automatically estimate the CVA using photographic images. The developedcomputer program can potentially be used for easier and more reliable clinical assessment of FHP.

유비쿼터스 헬스 케어 적용을 위한 의자 부착형 무선 심전도 측정 시스템 구현

예수영,백승완,김지철,전계록,Ye, Soo-Young,Baik, Seong-Wan,Kim, Jee-Chul,Jeon, Gye-Rok 한국전기전자재료학회 2008 전기전자재료학회논문지 Vol.21 No.8

In this study, ubiquitous health care system attaching in chair to monitor ECG for health care was developed at the unconsciousness state. The system conveniently and simple measured ECG at non-consciousness. We measured the contact impedance to skin-electrode of metal mesh electrodes of the system. Contact impedance enable the electrode to use for ECG measurement. The results are that the impedance of the metal mesh electrodes according to sizes is low when the size is 4$cm^2$. As the result, when the size of the metal mesh electrode is 4$cm^2$, the electrode is fit for ECG measurement. We can acquired by positing the arm on the metal mesh electrode. The ECG signal was detected using a high-input-impedance bio-amplifier, and then passed filter circuitry. The measured signal transmitted to a PC through the bluetooth wireless communication and monitored. Data of the non-constrained ECG system attaching in chair is noise-data when comparing metal mesh electrode with the Ag/Agcl electrode but the data is significant to monitor ECG for check the body state.

뇌파신호의 바이스펙트럼 Coherence와 DFA 알고리듬을 이용한 마취단계 분석

예수영,엄상희,Ye, Soo-young,Eum, Sang-hee 한국정보통신학회 2015 한국정보통신학회논문지 Vol.19 No.6

Due to the anesthesia process is inappropriate on the operation, awakening state was appeared. To prevent the state, it is necessary to monitor the patients by measuring the depth of anesthesia. In this study, we investigate the possibility of the development of actual surgery available quantitative indicators. The DFA which is included the correlation property of the EEG is used to analysis the depth of anesthesia and bispctrum index. In the results, at the pre-operation, the peak of bispectrum was widely distributed, DFA value was decreased. At the during operation, bispectrum was concentrically appeared in the low frequency area. At the post operation, bispectrum and DFA was both returned to the pre-operation state. We confirmed to be close correlation between the peaks of the bispectrum and DFA value.