• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.104-105
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• 2021

Along with the rapid development of ICT, health management is continuing based on various smart healthcare devices in an aging society and non-face-to-face era caused by COVID-19. In this paper, a heart rate monitor was manufactured using the DF Robot SEN0203 heart rate sensor based on Arduino so that you can check your health and maintain a healthy life by measuring the heart rate per minute in real time to support personalized health management. The device manufactured through this thesis can be used in various ways, such as a wristband or a smart watch.

• Review of KIISC
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• v.26 no.4
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• pp.41-46
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• 2016

전통적으로 바이오인식기술은 출입국심사(전자여권, 승무원 승객 신원확인), 출입통제(도어락, 출입통제 근태관리), 행정(무인민원발급, 전자조달), 사회복지(미아찾기, 복지기금관리), 의료(원격의료, 의료진 환자 신원확인), 정보통신(휴대폰 PC 인터넷 인증), 금융(온라인 뱅킹, ATM 현금인출) 등 다방면에서 폭넓게 보급되어 실생활에서 널리 활용되고 있다. [그림1]은 신체적 특징(Physiological biometrics)과 행동적 특징(Behavioral biometrics)을 이용한 사용자 인증기술인 바이오인식기술의 유형과 함께 각 기술별 보안취약점(괄호 안 빨강색글자)을 나타내고 있다. 최근 들어, 모바일 지급결제서비스 ATM 인출기 인터넷전문은행 등과 같은 핀테크 분야에서 비대면 인증기술로 바이오인식기술이 각광을 받기 시작했다. 한편, 가짜지문 등 기존의 신체적 특징을 이용한 바이오인식기술의 위변조 위협에 대한 우려 존재함에 따라 뇌파 심전도 근전도 맥박 등 살아있는 사람의 행동적(신체의 기능적) 특징을 이용한 생체신호를 이용하여 비대면 인증기술로서 활용하기 위하여 주요 선진국에서 차세대 바이오인식 기술개발이 가속화되고 있는 추세이다.[1] 또한, 이러한 생체신호는 최근에 삼성전자, LG전자, 애플 등에서 스마트워치를 통해 심장박동수를 측정하고 스마트폰을 통하여 모바일 지급결제, 헬스케어 등과 같은 IoT 모바일 융복합 응용서비스에 활용될 전망이다. 본고에서는 뇌파 심전도(심박수)와 같은 생체신호를 측정하는 스마트워치 밴드형 의복형 또는 패치형태의 웨어러블 디바이스와 같은 생체신호센서, 생체신호 인증기술 및 관련표준화 동향을 고찰해 보기로 한다. 국내외 관련기술과 표준화 동향을 면밀히 분석하여 지난 2015년 5월29일에 발족한 국내외 전문가그룹인 KISA"모바일 생체신호 인증기술 표준연구회"(이하 KISA 표준연구회)가 구심점이 되어 한국형 생체신호를 이용한 차세대 텔레바이오인식기술에 대한 연구개발과 국내외 표준화 추진에 박차를 가할 계획이다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.1 no.2
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• pp.51-56
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• 2008

U-Health is abbreviated from ubiquitous Health. Its final aim is "to improve the quality of life. To realize it, it is needed to generalize IT infrastructure such as the development of information-technology and construction of network. It is guaranteed to get medical care benefits unconsciously every time and everywhere based on this system. In this study, the environment of unconscious measurement was set up through ultra-violet instead of the existing Probe to wear with finger to follow this. TFT-LCD was included into module for display. U-Healthcare focused on the minimization and portable characteristic through the designed Zigbee communication module. Handled healthcare device was developed based on the U-Healthcare.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.76-84
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• 2022

Arrhythmia is a condition in which the heart beats abnormally or irregularly, early detection is very important because it can cause dangerous situations such as fainting or sudden cardiac death. However, performance degradation occurs due to personalized differences in ECG signals. In this paper, we propose arrhythmia classification using hybrid combination model of CNN-LSTM. For this purpose, the R wave is detected from noise removed signal and a single bit segment was extracted. It consisted of eight convolutional layers to extract the features of the arrhythmia in detail, used them as the input of the LSTM. The weights were learned through deep learning and the model was evaluated by the verification data. The performance was compared in terms of the accuracy, precision, recall, F1 score through MIT-BIH arrhythmia database. The achieved scores indicate 92.3%, 90.98%, 92.20%, 90.72% in terms of the accuracy, precision, recall, F1 score, respectively.

• The Journal of Korean Society for Radiation Therapy
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• v.24 no.2
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• pp.197-203
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• 2012

Purpose: In this study, we considerate our radiation therapy process for the breast cancer patient implanted a pacemaker applying the machine movement surgery, shielding, beam selection. Materials and Methods: We perform radiation therapy to a 54 years old, breast cancer patient implanted a pacemaker. The patient underwent a surgery to move the position of a pacemaker to right side breast after consultation with cardiology department. Prescribed dose was 5,040 cGy and daily dose 180 cGy for 28 fractions. The 10 MV photon energy, field size 0/$9.5{\times}20$ cm, half beam and opposing portal irradiation are used. To find out appropriate thickness of shielding board, we carried out an experiment using a solid water phantom ($30{\times}30{\times}7$ cm), a Farmer-type chamber (TN30013, PTW, Germany) and a shielding board (Pb $28{\times}27{\times}0.1$ cm). We calculated expected absorbed dose to te pacemaker with absorb ratio and shielding ratio. In the PTP system (Eclipse, Varian, USA), we figured out how much radiation would be absorbed to the machine with and without shielding. First day of the radiation therapy, we measured head scatter to the pacemaker with MOSFET Dose Verification System (TN-RD-70-W, Medical Canada Ltd., Canada). Results: In the phantom measurement, we found out appropriate thickness was 2 mm of shielding board. In the RTP, when using 2 mm shielding the pacemaker will be absorbed 11.5~38.2 cGy and DVH is 77.3 cGy. In the first day of the therapy, 4.3 cGy was measured so 120.4 cGy was calculated during total therapy. The patient was free from any side effects, and the machine also normally functioned. Conclusion: As the report of association which have public confidence became superannuated, there is lack of data about new machine. We believe that radiation therapy to thiese kind of patients could be done successfully with co-operation, patient-suitable planning, accurate QA, frequent in-vivo dosimetry and monitoring.

• The Journal of Korean Society for Radiation Therapy
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• v.25 no.2
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• pp.187-192
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• 2013

Purpose: We investigate the results of changed heart volume and heart dose in the left breast cancer patients while considering the movements of respiration. Materials and Methods: During the months of March and May in 2012, we designated the 10 patients who had tangential irradiation with left breast cancer in the department of radiation Oncology. With acquired images of free breathing pattern through 3D and 4D CT, we had planed enough treatment filed for covered up the whole left breast. It compares the results of the exposed dose and the volume of heart by DVH (Dose Volume histogram). Although total dose was 50.4 Gy (1.8 Gy/28 fraction), reirradiated 9 Gy (1.8 Gy/5 Fraction) with PTV (Planning Target Volume) if necessary. Results: It compares the results of heart volume and heart dose with the free breathing in 3D CT and 4D CT. It represents the maximum difference volume of heart is 40.5%. In addition, it indicated the difference volume of maximum and minimum, average are 8.8% and 27.9%, 37.4% in total absorbed dose of heart. Conclusion: In case of tangential irradiation (opposite beam) in left breast cancer patients, it is necessary to consider the changed heart volume by the respiration of patient and the heartbeat of patient.

• Journal of Chest Surgery
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• v.43 no.1
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• pp.86-88
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• 2010

Implanting a pacemaker is the most often used intervention for treating bradycardia. The most commonly used pacemaker is the intracardiac pacemaker, yet it can have many complications. An infected pacemaker can spread to systemic infection and the condition of the patient can quickly get worse, so if an infected pacemaker is suspected, then the pacemaker must be removed. Apart from the use of interventional methods such as a loop or a weight, we can take a more aggressive approach by using extracorporeal circulation for removal of the pacemaker. We report here on two cases in which extracorporeal circulation was used to remove the infected pacemakers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.605-606
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• 2016

Recently utilizing various wearable device has been going research to provide new services. Conventional wearable devices provide a service to a user by measuring the biological information. However, by measuring the biometric information such a situation the value of the algorithm, the user state and insufficient technology. In this paper, by utilizing an acceleration sensor and the rate sensor set a threshold for measuring the biological information, and heart rate and movement in order to solve this problem. And it proposes an algorithm to cope with the user's status and identifying emergency situations.

• Journal of the Korea Society of Computer and Information
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• v.26 no.7
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• pp.29-36
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• 2021

In this paper, we classify ECG signal data for mobile devices using deep learning models. To classify abnormal heartbeats with high accuracy, three factors of the deep learning model are selected, and the classification accuracy is compared according to the changes in the conditions of the factors. We apply a CNN model that can self-extract features of ECG data and compare the performance of a total of 48 combinations by combining conditions of the depth of model, optimization method, and activation functions that compose the model. Deriving the combination of conditions with the highest accuracy, we obtained the highest classification accuracy of 97.88% when we applied 19 convolutional layers, an optimization method SGD, and an activation function Mish. In this experiment, we confirmed the suitability of feature extraction and abnormal beat detection of 1-channel ECG signals using CNN.

• Journal of Chest Surgery
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• v.38 no.10 s.255
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• pp.661-668
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• 2005

Background: We have hypothesized that, if a low resistant gravity-flow membrane oxygenator is used, then the twin blood sacs of TPLS can be located at downstream of the membrane oxyenator, which may double the pulse rate at a given pump rate and increase the pump output. The purpose of this study was to determine the optimal configuration for the ECLS circuits by using the concept of pulse energy and pump output. Material and Method: Animals were randomly assigned to 2 groups in a total cardiopulmonary bypass model. In the serial group, a conventional membrane oxygenator was located between the twin blood sacs. In the parallel group, the twin blood sacs were placed downstream of the gravity-flow membrane oxygenator. Energy equivalent pressure (EEP) and pump output were collected at pump-setting rates of 30, 40, and 50 BPM. Result: At the given pump-setting rate, the pulse rate was doubled in the parallel group. Percent changes of mean arterial pressure to EEP were $13.0\pm1.7,\; 12.0\pm1.9\;and\;7.6\pm0.9\%$ in the parallel group, and $22.5\pm2.4,\; 23.2\pm1.9,\;and\;21.8\pm1.4\%$ in the serial group at 30, 40, and 50 BPM of pump-setting rates. Pump output was higher in the parallel circuit at 40 and 50 BPM of pump-setting rates $(3.1\pm0.2,\;3.7\pm0.2L/min\;vs.\;2.2\pm0.1\;and\;2.5\pm0.1L/min,\;respectively,\;p=0.01)$. Conclusion: Either parallel or serial circuit configuration of the ECLS generates effective pulsatility. As for the pump out, the parallel circuit configuration provides higher flow than the serial circuit configuration.