• 디지털융복합연구
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• 제18권8호
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• pp.231-242
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• 2020

연구의 목적은 가정에서 안정 시 인체의 생리적 활력 정보를 센서와 ICT 정보 기술을 통해 연속적으로 수집하는 시스템과 수집된 정보를 이용하여 당뇨병증 유무를 예측하는 인공신경망 기계학습 방법과 필수적인 기본 변수 값을 제시하였다. 연구 방법은 정상인(DM-) 20명과 당뇨병(DM+) 15명을 대상으로 BCG와 ECG 센서의 심박수 측정값의 상관 관계를 분석하였으며 상관 계수는 R²=0.959이다. Artificial Neural Network(ANN) 기계학습 프로그램을 이용하여 당뇨병증 예측 가능성을 확인하였고 입력 변수는 심박변이도의 시계열정보와 심박수, 심박변이도, 호흡율, 박동량 정보, 최저혈압, 최고혈압, 년령, 성별이며 ANN 기계학습 예측 정확도는 99.53%이다. 그리고 향후 ANN 기계학습 방법을 활용하여 BMI 정보를 이용한 당뇨예측 모델, 심장 기능 장애 예측 모델, 수면장애 분석 모델 등의 계속적인 연구가 필요하다.

• 한국전자통신학회논문지
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• 제15권1호
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• pp.191-198
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• 2020

본 연구는 ECG 신호를 이용하여 AR/VR 장치 사용 중에 발생할 수 있는 스트레스와 심장 상태에 따른 위험 예측을 위한 실시간 분석 시스템을 개발하였다. 제안 방법에는 ECG 신호의 R-R 간격을 이용한 HRV, BPM 측정법과 선행연구를 이용하여, 2차원 공간의 대치방법을 통해 실시간 진단방법을 제안하였다. 5분단 위로 ECG 데이터를 분석하고 자율신경계 진단 결과로 도출했다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.168.3-168
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• 2001

The purpose of this paper is to find the relations between the virtual reality created by the ship´s bridge simulator (simulator) at Radar Navigation Experiment and Research Facility in Kobe University of Mercantile Marine (KUMM) and the observer´s response to it. In short, we analyze the observer´s heart rate variability (R-R interval) in navigational condition seasick impression by simulator occurred, and present the R-R Interval and the stress of observer with SNS and PNS calculated by STFT. In this experiment, rolling of the ship was simulated and presented to the observer. Rolling was simulated only visually not physically or mechanically while the balancing movement and heart beat of the observer were measured and processed to produce the measures for body response to the artificially created visual environment. The results show that even a ...

• 한국컴퓨터정보학회논문지
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• 제22권5호
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• pp.65-72
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• 2017

Premature Ventricular Contraction(PVC) arrhythmia is most common abnormal-heart rhythm that may increase mortal risk of a cardiac patient. Thus, it is very important issue to identify the specular portraits of PVC pattern especially from the patient. In this paper, we propose a new method to extract the characteristics of PVC pattern by applying K-means machine learning algorithm on Heart Rate Variability depicted in Poinecare plot. For the quantitative analysis to distinguish the trend of cluster patterns between normal sinus rhythm and PVC beat, the Euclidean distance measure was sought between the clusters. Experimental simulations on MIT-BIH arrhythmia database draw the fact that the distance measure on the cluster is valid for differentiating the pattern-traits of PVC beats. Therefore, we proposed a method that can offer the simple remedy to identify the attributes of PVC beats in terms of K-means clusters especially in the long-period Electrocardiogram(ECG).

• 한국산업정보학회논문지
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• 제20권3호
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• pp.61-69
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• 2015

본 논문에서는 이산 웨이블릿 변환을 통해 추출된 시간 영역과 주파수 영역의 특징들을 활용하여 심박수변이도를 확률적인 지식으로 분석할 수 있는 방법을 제안하였다. 제안된 방법에서 지식획득 알고리즘은 규칙생성과 규칙평가 단계로 구성되어 있으며, 규칙생성에서는 ROC 분석을 통해 수치적인 속성값을 이산화된 구간으로 변환하고, 서로 다른 의사결정값을 포함하는 구간들 사이에 일관성 정도를 비교함으로써 감축된 규칙-집합을 생성한다. 이때 규칙-집합 내에 각 규칙에 대해서 확률적 해석을 위한 3가지 척도를 추정하였다. 제안된 모형의 효과성은 심혈관질환 병력을 가진 58명의 심전도 데이터로부터 심방세동을 식별할 수 있는 5가지 규칙을 생성하였고, 이들 규칙의 분별력을 평가하였다. 실험결과, 제안된 모형으로부터 생성된 지식은 4가지 성능평가 척도에 대해서 각각 93%의 정확도를 보여주었다.

• 동의신경정신과학회지
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• 제18권3호
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• pp.309-319
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• 2007

Chest pain is classified into two major categories of cardiac chest pain and non-cardiac chest pain. Cardiac chest pain is caused by cardiovascular disease, for example, myocardial infarction, angina pectoris, valvular heart disease, cardiac enlargement or hypertrophy, dissecting aortic aneurysm, pericarditis, myocarditis, etc. When the chest pain is not attributed to heart disease, it is termed non-cardiac chest pain. Non-cardiac chest pain is caused by pulmonary, gastrointestinal, musculoskeletal disease, psychiatric factor, etc. In tills case, we treated a 54-year old female patient who was diagnosed with dilated cardiomyopathy and suspicious sick sinus syndrome. She complained of chest pain, exertional dyspnea, dizziness and headache. For treatment, we made use of Yugultangami(六鬱湯加味) and Daejobwan(大造丸). Before and after treatment, we measured Heart rate variability(HRV). In result, the clinical symptoms were improved and there was a significant increase in assessmeut by Heart rate variability(HRV). Tills result suggests that Yugultaugami aud Daejowhan have a good effect on cardiac chest pain.

• The Korean Journal of Physiology and Pharmacology
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• 제28권3호
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• pp.253-264
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• 2024

Chronic neuropathic pain (CNP) is a complex condition often arising from neural maladaptation after nerve injury. Understanding CNP complications involves the intricate interplay between brain-heart dynamics, assessed through quantitative electroencephalogram (qEEG) and heart rate variability (HRV). However, insights into their interaction in chronic pain are limited. Resting EEG and simultaneous electrocardiogram (lead II) of the participants were recorded for qEEG and HRV analysis. Correlations between HRV and qEEG parameters were calculated and compared with age, sex, and body mass index (BMI)-matched controls. CNP patients showed reduced HRV and significant increases in qEEG power spectral densities within delta, theta, and beta frequency ranges. A positive correlation was found between low frequency/high frequency (LF/HF) ratio in HRV analysis and theta, alpha, and beta frequency bands in qEEG among CNP patients. However, no significant correlation was observed between parasympathetic indices and theta, beta bands in qEEG within CNP group, unlike age, sex, and BMI-matched healthy controls. CNP patients display significant HRV reductions and distinctive qEEG patterns. While healthy controls exhibit significant correlations between parasympathetic HRV parameters and qEEG spectral densities, these relationships are diminished or absent in CNP individuals. LF/HF ratio, reflecting sympathovagal balance, correlates significantly with qEEG frequency bands (theta, alpha, beta), illuminating autonomic dysregulation in CNP. These findings emphasize the intricate brain-heart interplay in chronic pain, warranting further exploration.

• Journal of Korean Biological Nursing Science
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• 제11권1호
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• pp.32-41
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• 2009

Purpose: This study was to identify the effects of aroma inhalation therapy on heart rate variability and anxiety in the context of urodynamics study. Method: The data were collected from 64 patients who were receiving urodynamics at the C University Medical Center in Seoul, 23 in the experimental group, 22 in the placebo group and 19 in the control group. In the experiment, the subjects of the experimental group inhaled a mixture of lavender and bergamot for 5 min, the subjects of the placebo group inhaled geranyl acetate oil for 5 min and the subjects of the control group relaxed for 5 min. The instruments used in this study included the state anxiety inventory and heart rate variability. Result: The score of state anxiety was no significant differences between the three groups after aroma-inhalation. Also, the sympathetic nerve activity and parasympathetic nerve activity was no significant differences between the three groups after aroma-inhalation. Autonomic nerve balance was maintained significantly in the experimental group as compared to the control groups after aroma-inhalation. Conclusion: The aroma inhalation therapy was very effective in balancing the autonomic nervous system in the patients undergoing urodynamic study.

• 동의신경정신과학회지
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• 제19권3호
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• pp.45-54
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• 2008

Objective: To treat psychogenic headache patients, doctors have to amplify on the headache caused by emotional stress to patients, and assist the patients to cope with difficulties. So, we investigated HRV of the headache patients caused by Chiljungsang and would like to apply to the clinical treatment. Method: Our study measured time and frequency domain HRV indicies(5-min resting study) of 123 headache patients caused by emotional stress. Standardized tests of HRV allow a quantitative estimation of autonomic nervous system function. Results & Conclusions: 1. The study classed as aspects of the head pain showed the differences in RMS-SD(square root of mean squared difference of successive NN intervals) band, HF(high frequency) band significantly. 2. The male headache patients showed higher all the indicies except heart rate compared to the female patients, significantly in SDNN(standard deviation of NN interval), TP(total Power), HF band. 3. As the patients grow older, SDNN, RMS-SD band was lower and LF(low frequency) band, LF/HF ratio higher significantly. The beginning age lower, SDNN, RMS-SD band was higher significantly. The duration of the disease longer, LF band, LF/HF ratio was higher significantly.

• 대한암한의학회지
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• 제16권1호
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• pp.15-31
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• 2011

Objective : The study aims to investigate the effect of moxibustion treatments on autonomic nervous system function of cancer patients through the evaluation of heart rate variability (HRV) biofeedback testing. Materials and Methods : Six cancer patients from inpatient care unit of Dunsan Oriental Hospital, Daejeon University were given three moxibustion treatment sessions every other day over one week period on five Oriental Medicine meridian points CV4, CV6, CV12, KD1, and PC8. HRV biofeedback was conducted before and after each treatment sessions. Three areas of analyses were done from the test conducted; Time Domain Analysis, Frequency Domain Analysis and Autonomic Nervous System (ANS) balance analysis. Results : Time Domain Analysis has shown increased Standard Deviation of all Normal R-R Intervals (SDNN), and decreased Mean Heart Rate and Physical Stress Index (PSI) levels, with statistical significance (P<0.05). In Frequency Domain Analysis, series of moxa treatments have increased Total Power (TP), Very Low Frequency Oscillation Power (VLF), High Frequency Oscillation Power (HF), normalized HF values while decreasing Low Frequency Oscillation Power (LF), normalized LF and LF/HF ratio with statistical significance (P<0.05). The values of ANS activity, ANS balance, Stress resistance, Stress index, have also shown significant changes. For cardiac stability stroke volume power (SP) and Blood Vessel Tension (BVT) were followed, which were both increased after treatment. All changes were statistically significant (P<0.05). Conclusion : The results have shown a positive correlation between the moxibustion treatments and autonomic nervous system responses on cancer patients through the HRV biofeedback testing. This study suggests possible application of moxibustion treatments for managing ANS functions of cancer patients, although additional studies with larger population are necessary to confirm the data.