• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1998년도 추계학술대회
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• pp.165-166
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• 1998

A multi-parameter neuro muscular electrical simulator (NMES) system was developed to be used to find the optimal parameter condition in obtaining maximum muscle power and minimal fatigue. Since the performance of NMES is mainly determined by the characteristic of its output-stage circuit, we implemented 3 different circuits and compared output characteristics of them. Three amplifier circuits are; 1) a resonant switching converter, 2) a linear amplifier with a transformer, and 3) a step-up DC/DC converter with a high-voltage linear amplifier. Experimental results showed that the step up DC/DC converter with a high-voltage linear amplifier has the best performance.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 춘계학술대회
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• pp.256-259
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• 1996

In this paper, we proposed a new system for postural balance rehabilitation training. We used the cycle simulator using virtual reality technology as the sensory integration device. Our results showed that this system was effective postural balance rehabilitation training device and might be useful as the clinical equipment.

• 대한의용생체공학회:의공학회지
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• 제36권2호
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• pp.48-53
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• 2015

Sudden infant death syndrome(SIDS) continues to be general cause of infant death. Also, apnea is supposed to be one of the main risk factor of SIDS. Therefore, Infant's respiratory monitoring and real-time apnea detection is very important to prevent SIDS. In this study, we proposed a non-contact home monitoring system for infant's respiration using Doppler radar in order to prevent SIDS. The respiration data were acquired from a commercialized baby simulator(Simbaby$^{TM}$) using a Doppler radar. To evaluate a performance of the proposed system, the simulator was placed in a supine and prone position and the chest belt was used simultaneously as a reference signal. As a result, correlation coefficients between respiration rates of Doppler radar and the chest belt in each position were 0.95(p < 0.001) and 0.98(p < 0.001), respectively. The averages of difference were $-0.29{\pm}5.21(mean{\pm}1.96{\cdot}$ standard deviation) in supine and $-0.12{\pm}3.05$ in prone from Bland-Altman analysis. The results indicated an excellent performance in detecting apnea with a sensitivity of 100% and a positive predictive value of 100% in each posture respectively. These results demonstrated that a proposed Doppler radar system is suitable for non-contact respiratory monitoring in order to prevent SIDS of infant.

• 대한방사선기술학회지:방사선기술과학
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• 제45권2호
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• pp.111-116
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• 2022

In this study, the applicability of machine learning for the development of a simulator for general X-ray examination education is evaluated. To this end, k-nearest neighbor(kNN), support vector machine(SVM) and neural network(NN) classification models are analyzed to present the most suitable model by analyzing the results. Image data was obtained by taking 100 photos each corresponding to Posterior anterior(PA), Posterior anterior oblique(Obl), Lateral(Lat), Fan lateral(Fan lat). 70% of the acquired 400 image data were used as training sets for learning machine learning models and 30% were used as test sets for evaluation. and prediction model was constructed for right-handed PA, Obl, Lat, Fan lat image classification. Based on the data set, after constructing the classification model using the kNN, SVM, and NN models, each model was compared through an error matrix. As a result of the evaluation, the accuracy of kNN was 0.967 area under curve(AUC) was 0.993, and the accuracy of SVM was 0.992 AUC was 1.000. The accuracy of NN was 0.992 and AUC was 0.999, which was slightly lower in kNN, but all three models recorded high accuracy and AUC. In this study, right-handed PA, Obl, Lat, Fan lat images were classified and predicted using the machine learning classification models, kNN, SVM, and NN models. The prediction showed that SVM and NN were the same at 0.992, and AUC was similar at 1.000 and 0.999, indicating that both models showed high predictive power and were applicable to educational simulators.

• Korean Journal of Acupuncture
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• 제38권4호
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• pp.267-274
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• 2021

Objectives : Acupoints education is important in that it can determine the clinical competency of Korean Medicine Doctors (KMDs). Accordingly, we aimed to develop a practical simulator for acupoints education, acupoints training, acupoints practice, and acupoints evaluation. Methods : Korean Medicine (KM) SMART Table can be divided into hardware, server and components, and is organically linked. We develop KM SMART Table that combines the hardware of a human-sized table with a UHD display capable of multi-touch in two cases and software that can teach acupoints. We make Augmented Reality (AR) contents linked with KM SMART Table contents and develop applications that can use contents using mobile devices. By developing an AR image tracking module to react with KM SMART Table, it enables acupoint learning according to the mobile device platform and human anatomy. Results : The current system is a prototype where some 3D technology has been implemented, but the AR function will be produced later. New learning using 3D and AR will be required during acupoints education and acupoints practice. It will be used a lot in OSCE (Objective Structured Clinical Examination) practices for strengthening the competency of KMDs, and it will be of great help not only in KM education as a unique simulator of KM, but also in the practice of acupuncture and chuna for musculoskeletal diseases. Conclusions : The KM SMART Table is a technology that combines 3D and AR to learn acupoints, and to conduct acupoints OSCE practice, and we suggest that it can be usefully used for educational evaluation.

• 한국한의학연구원논문집
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• 제13권3호
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• pp.111-117
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• 2007

The study aims to measure and analyze the thickness and depth of blood vessel on the pulse diagnosis locations and the blood velocity through the use of ultrasonic waves (LOGIQ5PRO, GE Medical, U.S.) in order to understand the structural difference of pulse diagnosis locations. The subjects included 44 healthy men and women(22.28${\pm}$2.62 age) considered normal in terms of Body Mass Index(BMI). The thickness and depth of the blood vessel and the blood velocity were measured three times on CHON, KWAN and CHUCK to obtain the average value. Results showed there is a statistically significant difference among the variables measured on CHON, KWAN and CHUCK. A difference according to gender was also observed. This explains why an oriental medical doctor can tell the difference in pulses depending on the location of CHON, KWAN and CHUCK. In addition, the difference in pressure between CHON and KWAN was higher than that in pressure between KWAN and CHUCK. The findings explain why oriental medical doctors take pulses by dividing CHON, KWAN and CHUCK in the short length of the three fingers. It can be used to develop a pulse diagnosis device enabling accurate measurement according to the characteristics of blood vessel structure based on where the pulse is taken. Furthermore, the results can be used as basic data for the development of a pulse diagnosis simulator.

• 디지털산업정보학회논문지
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• 제10권4호
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• pp.109-116
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• 2014

In recent, ISM (Industrial Scientific Medical) band that is 2.4GHz band authorized free of charge is being widely used for smart phone, notebook computer, printer and portable multimedia devices. Accordingly, studies have been continuously conducted on the possibility of coexistence among nodes using ISM band. In particular, the interference of IEEE 802.11b based Wi-Fi device using overlapping channel during communication among IEEE 802.15.4 based wireless sensor nodes suitable for low-power, low-speed communication using ISM band causes serious network performance deterioration of wireless sensor networks. This paper examined a method of identifying channel status to avoid interference among wireless communication devices using IEEE 802.11b (Wi-Fi) and other ISM bands during communication among IEEE 802.15.4 based wireless sensor network nodes in ISM band. To identify channels occupied by Wi-Fi traffic, various studies are being conducted that use the RSSI (Received Signal Strength Indicator) value of interference signal obtained through ED (Energy Detection) feature that is one of IEEE 802.15.4 transmitter characteristics. This paper examines an algorithm that identifies the possibility of using more accurate channel by mixing utilization of interference signal and RSSI mean value of interference signal by wireless sensor network nodes. In addition, it verifies such algorithm by using OPNET Network verification simulator.

• 한국응급구조학회지
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• 제25권3호
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• pp.7-16
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• 2021

Purpose: The I-gel device is Korea's most frequently used airway management method during pre-hospital cardiopulmonary resuscitation (CPR). This study aimed to compare changes in ventilation volume according to the fixation method with a simulated manikin. Methods: We placed I-gel into an advanced life support simulator and compared tape and band fixation conditions. CPR was performed according to the 2020 Korean CPR guidelines, using a mechanical chest compression device and an adult bag. The positional shift of I-gel and the ventilation volume of the simulated manikin were measured after performing CPR for 20 minutes. Five trials were carried out in each setting. Statistical analysis was carried out with SPSS 27.0. P < .05 was considered significant. Results: Positional shift after 20 minutes of CPR was as follows: tape fixation, 7.2 ± 0.2 mm; band fixation, no change, indicating a significant difference between the two groups (p=.003). The mean ventilation volume was tape fixation, 482.63 ± 30.84 mL; band fixation, 544.96 ± 22.98 mL, showing a significant difference (p=.002). Conclusion: When using the I-gel during pre-hospital CPR, using a band-type fixing device with elasticity rather than fixing the tape provides stable and appropriate ventilation by maintaining the fixed position.

• 한국의학물리학회지:의학물리
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• 제22권3호
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• pp.155-162
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• 2011

방사선치료를 위한 아날로그영상기반의 시뮬레이터와 의료용 선형가속기로 이루어진 시스템을 X-ray 필름을 Computed Radiography (CR)로 교체하여 디지털영상기반의 시스템으로 개선하였다. 장비교체를 최소화하였고 기존의 치료과정과 유사하도록 하여 사용자들이 짧은 시간에 적응할 수 있도록 하였다. 필름카세트와 필름현상기는 CR카세트와 CR리더기로 대신하였고, ViewBox는 소형PC와 모니터로 대체되었다. 디지털영상의 장점을 충분히 활용하기 위해 방사선종양학과에 적합한 Viewer 소프트웨어를 개발하여 업무의 편리성과 효율성을 도모하였다. Viewer 소프트웨어는 2개의 이미지를 동시에 볼 수 있으며, 이들 영상의 비교도 가능하다. 다양한 검색기능과 Contouring 기능, 윈도우폭/레벨 조절기능을 갖추었다. 업무의 중단이 없도록 하기 위해 1주일간 기존 필름과 CR을 공동으로 운용하며 문제점을 수정한 후 필름시스템을 제거하고 CR시스템을 운용하였다. CR시스템은 안정적으로 운용되고 있으며, 본격적으로 CR시스템이 이용되면서 사용자로부터 제기되는 여러 요구사항을 반영하여 기능을 개선하였다.

• 정보처리학회논문지C
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• 제16C권3호
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• pp.285-298
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• 2009

유비쿼터스 기술의 발전과 함께 센서 네트워크는 다양한 분야에서 활용되고 있다. 그 중 특히 의료 분야는 중요한 응용 분야 중의 하나로 바디 센서 네트워크의 표준화 동향과 함께 관심이 집중되고 있다. 의료 센서 네트워크는 기존의 일반적인 환경의 센서 네트워크와는 다른 의료 환경만의 특징들을 가지고 있다. 따라서 본 논문에서는 이와 같은 특징들을 반영하여 계층적인 의료 센서 네트워크 구조를 제안하였고, 계층적인 구조를 바탕으로 하여 센싱 데이터 전송 방식을 소개하였다. 즉, 효율적인 센싱 데이터 전송을 위해서는 환자들의 요구 사항과 건강 상태를 고려하여 각 센서 노드들에게 우선 순위(Priority)와 경계값(Threshold Value)을 주었다. 이를 통해 클러스터 헤드에서 응급 데이터를 우선적으로 빠르게 베이스스테이션으로 전송하도록 하였다. 또한 이와 같은 구조와 전송 방식을 바탕으로 센서 네트워크를 위해 Eschenauer와 Gligor가 제안한 키 메커니즘을 기반으로 하여 새로운 키 관리 기법을 제안하였다. 이는 각 클러스터 헤드들이 높은 우선 순위를 갖는 응급 노드들에 대해서 이웃 클러스터로 응급 노드와의 키를 미리 전송해주는 Key Provisioning 방법을 사용하여 응급 노드들에 대해서 키 설립을 준비하도록 하여 키 설립이 보다 빠르게 이루어지도록 하였다. 이를 통해 키 설립 지연으로 인한 데이터 전송의 기다림 없이 바로 응급 노드들의 데이터를 클러스터 헤드로 전송할 수 있도록 한다. 이와 같은 계층적인 구조에서의 데이터 전송 방식과 이를 바탕으로 제안한 키 관리 기법은 수식 및 QualNet 시뮬레이터를 사용한 시뮬레이션을 통하여 네트워크 트래픽 오버헤드와 에너지 소모량을 분석하였으며, TmoteSKY 센서보드를 사용해 구현함으로써 그 효율성을 증명하고 실제 응용환경에서의 실현가능성을 입증하였다.