• 대한의용생체공학회:의공학회지
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• 제17권2호
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• pp.263-273
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• 1996

The time instants, at which QRS complexes are detected, are used in the electrocardioyam rhythm analysis. Hence, it is necessary that all QRS complexes are detected and that no other waves or artifacts are wrongly labeled as such. These time instants are also used in other tasks as an indication of the location of significant events in the ECG. For example, the QRS typification algorithm uses these points to define the region of interest for complex comparison and alignment. When waveform recognition is drone for each complex, these points are used to define search intervals in which the onset and the end of the QRS nmplex have to be found This paper proposes the method for the detection of QRS complexes and decision rule for the classification scheme. The efficiency of the detection is demonstrated with the aid of an internationally validated CSE(Common Standard for Quantitative Electrocardioyaph) data set 3 and 4.

• 대한의용생체공학회:의공학회지
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• 제12권4호
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• pp.277-284
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• 1991

This study describes the ambulatory ECG monitoring system for the remote autom atic diagnosis. System: tlardware is based on one chip microcomputer(80c31) and its peripherals which consists of A/D, EPROM, RAM, LCD display and two preamplifiers, Power circuits, control logic circuits. A/D converted data were differentiated and low pass filtered. The detection of QRS complex and R point were accomplished by software algorithm based on adaptive threshold computed on low pass fi:leered signal. Rhythm analysis is performed by RR interval and average RR interval. The performance of QRS detection algorithm is evaluated by using MIT/BIH data base. Using this system, the trends of the arrythmia during the long term could be saved and displayed.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1995년도 춘계학술대회
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• pp.265-269
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• 1995

In this study, we present a training method of radial basis function networks based on recursive modified Gram-Schmidt algorithm for single step prediction of chaotic time series. With single step predictions of Mackey-Glass time series and alpha-rhythm EEG which has chaotic characteristics, the radial basis function network trained by this method is compared with one trained by a classical non-recursive method and the radial basis function model proposed by X.D. He and A. Lapedes. The results show the effectiveness of the training method.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 춘계학술대회
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• pp.293-297
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• 1996

For the representative beat calculation and efficient rhythm analysis new method, that is, QRS typification were proposed. A problem that were resulted from pattern classification based on binary logic could be solved out by the fuzzy clustering and classification nodes could be reduced by using the proposed new feature vector. The accurate representative beat could be obtained by excluding the ST-T segment that happened outlier through ST-T segment typification procedure.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 추계학술대회
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• pp.11-14
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• 1996

Biomagnetic measurements provide superior spatial and temporal resolutions compared with the present electric measurements. We developed a SQUID system for biomagnetic applications. A magnetic field from the spontaneous ${\tau}$-rhythm activity and an auditory evoked magnetic field have been measured. And a measurement of magnetocardiogram and its field mapping have been done.

• 항공우주의학회지
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• 제30권2호
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• pp.61-65
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• 2020

In the case of aviation maintenance work, several kinds of shift works are performed during day and night, and a lot of works are performed on the ramp due to the characteristics of the aircraft flight schedule. Maintenance workers are often exposed to the sun or in cold temperatures for aircraft maintenance works. The fatigue risk of the maintenance workers will be weighted. In particular, the work at night shift under normal biological rhythms can make maintenance workers feel sleepy during daytime work. It can also affect the safety of aircraft and individual workers. Accordingly, this study will consider fatigue-related previous researches in the field of aviation maintenance, review the effects of shift work, and how fatigue affects aviation mechanics during the day/night shifts. Considering these factors, we tried to present a plan that can minimize the fatigue of aviation workers through this study.

• 동서간호학연구지
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• 제2권1호
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• pp.83-95
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• 1997

Cooking food is very important in Chinese medicine when we regard the food to be the principal origin of the nutrition of human body and the condition required to maitain the activities of the life of human body. Chinese medicine has accumulated the diverse and rich experience of cooking food through long clinical experience as well as made an important contribution to the healthy and long life through the unique theory of cooking food. Chineses medicine has deep view on the relations between food cooking and healthy and long life as well as presented the principle of cooking food created unique ways of food cooking such as food treatment. As the above, from the ancient times, Chinese medicine established Chinese medical science of nutrition under the consciousness of the theory that food and medicine have the same origin and practiced the methods of promoting the health through rightly selecting the foods. Therefore it has been thought that human beings can enjoy healthy life by rich supply of the nutrition. Comfortable ways of sleeping requie the emotion and peace with temperation in pleasure and anger, and also we should be temporate in eating, acting, sleeping posture and be flee from the wind, and we should not put on a quilt when sleep, and we should sleep alone and be careful about sexual life. The concrete measures for sexual intercourse are that: 1) we should marry at the right age not to be married at early age. 2) we should obey nature and not live unmarried life. 3) we should be temperate in having sexual intercoure and in excessive sexual desire. Regarding the residence and clothes: the residence environment should be calm and beautiful and the room for the residence should be well designed to be clean and sanitary and we should wear suitable clothes. All living creatures are living according to the rhythm of the living body and the change of the great nature. The Reason why the living things show the periodical rhythm is not that it is the truth of the great nature, but that the living life itself shall be ceased to be existed in case of running counter to such rhythm. There are 2 specially important things: one is about food in biological view and the other is the residence in social side. By starting from the theory that food and medicine have the same origin and root, we should rightly select the foods to promote the health at the maximum, and it is very important for human to be well obeying the environment and temperate in the life of residence and mind (Choi, Sam Byun, Shon, Sook Young, 1997). As the above, the cook in Chinese medicine suggests us the suitable ways of achieving the goal of nursing. Therefore the continuous study of this field is necessary based on this my study though it is unsatisfactory at this time but it would be the basic materals in establishing the nursing science of Chinese medicine.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 추계학술대회
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• pp.222-227
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• 1997

회귀에 기인하는 부정맥의 발생 기전 분석을 위해 심장 전도 계통의 변경된 Hidden Markov Model을 세우고 모의 실험을 하였다. 먼저, 심근의 탈분극 시간과 전도 속도, 탈분극의 자율성(autonomicity)을 매개 변수로 한 모의 실험을 통해 시간적인 심장 진도와 피에 따른 심전도 결과를 얻었다. 결과는 연속된 심전도 파형과 그 발생 시간이었다. 매개변수는 율동의 속도, 각 파형간의 간격, 이상 파형의 발생 빈도등을 결정한다. 정상 동율격 및 심실상성/심실성 정맥, 심방/심실 조기 박동등을 모의 실험할 수 있는 매개변수의 세트를 구하였다. 다음으로 Hidden Markov Model의 확률적 추정 방법을 응용하여 심전도 결과를 가지고 최적 확률의 심장 전도 경로를 추정하였다. 변경된 추정 방법을 이용하여, 모의 실험한 전도경로와 추정한 경로가 유사함을 확인하였다.

• Journal of Korean Biological Nursing Science
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• 제23권3호
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• pp.227-236
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• 2021

Purpose: The purpose of this study was to investigate the sleep duration, social jetlag (SJL), and subjective sleep disturbance according to the individual chronotype in rotating shift nurses. Methods: A total of 344 rotating 3-shift nurses (mean age 28.67 years) were recruited at one university affiliated hospital. They completed the following questionnaires, which were used to assess their chronotype and sleep: the morningness-eveningness questionnaire (MEQ), self-reported sleep duration of work days (SDW_shift) and free days (SDF_shift) in each shift (day [D], evening [E], night [N]), and sleep disturbance (Insomnia severity index, ISI). SJL_shift was calculated as the difference in midsleep (MS=sleep onset+1/2 sleep duration) between work days (MSW) and free days (MSF). Results: Subjects were divided into 3 chronotype groups according to the MEQ; morning (MG, 4.4%) intermediate (IG, 57.8%), and evening groups (EG, 37.8%). SDW_D was shortest (4.68 hr) and SDF_E was longest (8.93 hr) in the EG. SJL_D was longest in the EG (3.77 hr), and SJL_N was longest in the MG (7.37 hr). The prevalence of sleep disturbance was 33.3% (MG), 29.6% (IG), and 40.0% (EG), respectively, without any statistical significance. Conclusion: In order to improve the sleep of shift workers, it is recommended that the evening chronotypes should reduce the day shifts and the morning chronotypes should reduce the night shifts. We also propose a study to determine whether these shift assignments can improve the sleep in shift nurses.

• 대한의용생체공학회:의공학회지
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• 제31권5호
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• pp.365-374
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• 2010

This paper is about the personal identification algorithm using an ECG that has been studied by a few researchers recently. Previously published algorithm can be classified as two methods. One is the method that analyzes ECG features and the other is the morphological analysis of ECG. The main characteristic of proposed algorithm uses together two methods. The algorithm consists of training and testing procedures. In training procedure, the features of all recognition objects' ECG were extracted and the PCA was performed for morphological analysis of ECG. In testing procedure, 6 candidate ECG's were chosen by morphological analysis and then the analysis of features among candidate ECG's was performed for final recognition. We choose 18 ECG files from MIT-BIH Normal Sinus Rhythm Database for estimating algorithm performance. The algorithm extracts 100 heartbeats from each ECG file, and use 40 heartbeats for training and 60 heartbeats for testing. The proposed algorithm shows clearly superior performance in all ECG data, amounting to 90.96% heartbeat recognition rate and 100% ECG recognition rate.