• 대한불안의학회지
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• 제9권2호
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• pp.140-146
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• 2013

Objective : There have been few comprehensive studies on the analysis of 24-hour HRV of major depressive disorder (MDD). The purpose of this study was to compare the autonomic nerve system of patients with a MDD with healthy patients and to examine the physiologic and clinical effects of 24-hour HRV by analyzing whether the HRV demonstrates the level of depressive symptoms after improving the symptoms in patients with a MDD. Methods : The 24-hour HRV was measured in patient groups with a MDD (n=16) and control groups (n=16). The patients with a MDD received the follow up test for two months after the treatment. Results : There were significant differences among the indexes (SDNN, rMSSD, SDNN index, and pNN50) of time-domain analysis and the indexes (TP, VLF, LF, HF, and ULF) of frequency-domain analysis of HRV between patient and control groups. The means of RR, SDNN, SDANN, and TP increased after two month of the treatment, comparing them with before the treatment, but there were no statistical significance. Conclusion : The results of 24-hour HRV analysis indicated significant decrease of HRV indexes among MDD patients which may suggest decrease of parasympathetic nervous functions.

• 한국전자통신학회논문지
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• 제10권1호
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• pp.125-132
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• 2015

본 논문은 인지능력이 저하된 노인들에게 침과 뜸 요법을 시행하고 HRV 측정값을 통하여 그 효과를 분석한다. 인지능력이 저하되거나 상실된 사람들에게 자주 사용되었던 주요한 경혈을 고문헌에서 조사하였다. 인지능력이 저하된 노인들에게 침과 뜸을 시술한 후 HRV 측정기를 이용하여 여러 가지 변화를 측정하였다. 측정된 값들을 상호 비교하여 자율신경계와 심박동수의 변화에 침과 뜸이 어떤 영향을 주는지 효능을 측정하였다. 연구 결과 침과 뜸이 인지능력의 개선에 긍정적이 효과가 있다는 것을 HRV 분석을 통해 확인할 수 있었다.

• 대한한의진단학회지
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• 제12권2호
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• pp.74-83
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• 2008

Background and purpose : Health is characterized by variability, and the loss of variability is associated with aging and disease. Normal healthy respiratory patterns are characterized by breath to breath variability. Cold-Heat scores are quantified indices in Korean Medicine. The aim of this study is to analyze relations between 9 respiratory indices (including breath to breath variability) and HRV(heart rate variability). Method : Respiratory data were measured during a period of 15 minutes and transferred to text file. We calculated 9 respiratory parameters using MATLAB 7.1. Afterwards we did correlation analysis of the 9 respiratory indices and HRV. Results and conclusion : Respiratory variability showed significant correlation with HRV.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 추계학술대회
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• pp.443-446
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• 1997

HRV(heart rate variability) is the time series data of R-R interval time duration based on ECGs. Power spectral analysis of HRV has recently been used to define the activity of ANS(autonomic nervous system). In this study, 14 rats were divided into two groups, sympathectomy and vagotomy. During the experiments, ECGs of rats were collected three times at each experimental conditions or the duration of 5 minutes, where sampling frequency was set at 2KHz. After the application of the Berger's Serires algorithm to ECG raw data, power spectrum of HRV was obtained via FFT. Results showed that HF/LF were increased or the sympathectomy group and decreased or the vagotomy group. It implies that the variations in HF/LF components could be used or the ANS function classification.

• 대한한의진단학회지
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• 제11권2호
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• pp.84-95
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• 2007

Background and Purpose: We have studied the trends of EEG signals in the voluntary breathing condition by applying the fractal analysis. According to chaos theory, irregularity of EEG signals can result from low dimensional deterministic chaos. A principal parameter to quantify the degree of Chaotic nonlinear dynamics is correlation dimension. The aim of this study was to analyze correlation between the correlation dimension of EEG and HRV(heart rate variability). We have studied the trends of EEG signals in the voluntary breathing condition by applying the fractal analysis. Methods: EEG raw data were measured by moving windows during 15 minutes. Then, the correlation dimension(D2) was calculated by each 40-seconds-segment in 15 minutes data, totally 36 segments. 8 channels EEG study on the Fp, F, T, P was carried out in 30 subjects. Results and Conclusion: Correlation analysis of HRV was calculated with deterministic non-linear data and stochastic non-linear data. 1. Ch1(Fp1), Ch4(F3), Ch4(F4) is positive correlated with In LF. 2. Ch1(Fp1), Ch3(F3) is positive correlated with In TF.

• Journal of Acupuncture Research
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• 제27권1호
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• pp.65-74
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• 2010

Objectives : This study was to investigate the effects of Cervi Pantotrichum Cornu Pharmacopuncture and Bovis calculus Fel Ursi Pharmacopuncture on autonomic nervous system with Heart Rate Variability(HRV). Purpose of the trial was to observe what influence Cervi Pantotrichum Cornu Pharmacopuncture and Bovis calculus Fel Ursi pharmacopuncture have on the autonomic nervous system. Methods : 40 healthy male volunteers were divided into two experimental groups, such as Cervi Pantotrichum Cornu Pharmacopuncture group and Bovis calculus Fel Ursi Pharmacopuncture group. Study design was a randomized, double-blind clinical trial. 20 subjects in one experimental group were injected Cervi Pantotrichum Cornu Pharmacopuncture, 20 subjects in other experimental group were injected hydrolyzed Bovis calculus Fel Ursi Pharmacopuncture at GB21(Kyonjong). We measured HRV 7 times : baseline measurement and every 5 minutes for 30 minutes after injection. The SPSS 15.0 for Windows was used to analyze the data by the paired t-test(in group) and independent sample t-test(between the groups). Results A. Time Domain Analysis 1. Analysis of Mean HRV, SDNN and Complexity After injection of Cervi Pantotrichum Cornu Pharmacopuncture, Mean HRV was significantly decreased all the times after injection. SDNN was significantly increased at immediate and 25 minute after injection. Complexity was significantly decreased only at 15 minute after injection. After injection of Bovis calculus Fel Ursi Pharmacopuncture, Mean HRV was significantly decreased all the times after injection. Complexity was significantly decreased at 15 minutes after injection. 2. Analysis of HRV index, pNN50 After injection of Cervi Pantotrichum Cornu Pharmacopuncture, HRV index was significantly increased immediately after injection. pNN50 was significantly decreased at immediately, 20 and 25 minutes after injection. After injection of Bovis calculus Fel Ursi Pharmacopuncture, HRV index was significantly increased immediately after injection. pNN50 was significantly decreased at immediate and 25 minutes after injection. B. Frequency Domain Analysis 1. Analysis of Ln(TP), Ln(HF), Ln(LF), Ln(VLF) After injection of Cervi Pantotrichum Cornu Pharmacopuncture, Ln(TP) was significantly increased at immediate and 25 after injection. Ln(HF) was significantly increased all the times after injection. Ln(LF) was significantly increased at 15, 20 and 25 minutes after injection. Ln(VLF) was significantly increased at immediate and 25 minutes after injection. After injection of Bovis calculus Fel Ursi Pharmacopuncture, Ln(TP) was significantly increased at immediately and 25 after injection. Ln(LF) was significantly increased at 20 and 25 minutes after injection. Ln(VLF) was significantly increased at immediate and 25 minutes after injection. Conclusions : We results suggest that Cervi Pantotrichum Cornu Pharmacopuncture and Bovis calculus Fel Ursi Pharmacopuncture in healthy adult men tend to activate the autonomic nervous system and sympathetic nervous system within normal range.

• 동의신경정신과학회지
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• 제34권2호
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• pp.83-94
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• 2023

Objectives: To investigate the correlation of anxiety or depression mood with physical stress of 59 participants (29 who complained of chronic headache and 30 who did not complain of headache) using a questionnaire on chronic headache symptoms, Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI), and Heart Rate Variability (HRV). Methods: In this study, medical records of 59 participants (29 who complained of chronic headache and 30 who did not complain of headache) who completed the BAI, BDI, HRV, and Questionnaire for chronic headache symptoms were evaluated. All data were analyzed using SPSS (Statistical Package for the Social Sciences, Version 26.0). Descriptive Analysis, Mann-Whitney U test, Chi square test (Fisher's exact test), and Pearson correlation coefficient were used for data analysis. Results: 1. The chronic headache group had significantly lower SDNN, RMSSD, TP, LF, and HF values on HRV than the general control group. 2. As BAI and BDI scores of the chronic headache group increased, the overall HRV value tended to decrease, indicating a deep association. 3. There was a negative association between BDI and HRV values in the chronic headache group, although such association was not statistically significant. Conclusions: BDI can be negatively correlated with HRV (SDNN, RMSSD, TP, LF, HF) in chronic headache patients.

• 감성과학
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• 제13권1호
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• pp.61-68
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• 2010

본 연구에서는 Healey 등(2005)의 데이터를 활용하여 스트레스 정도가 단시간에 변하는 운전상황에서 운전자의 심박변이도 분석을 통해 스트레스 정도에 대한 추정이 가능한지를 예비적으로 평가해 보았다. 단시간에 스트레스 정도가 변하는 운전의 경우 심박변이도 변화 양상은 기존 문헌에 나타난 장거리 운전의 양상과 다르며, meanRR, sdRR, HF, LF/HF, LFnorm, HFnorm의 6가지 심박변이도 파라미터가 스트레스 추정에 유의한 변수로 확인되었다. 정상인 운전자 5명에 대해 6가지 파라미터를 입력변수로, 운전 구간에 따라 변하는 스트레스 정도를 출력변수로 하여 개인별 선형회귀 모델($R^2=0.8604{\pm}0.0959$)을 도출하였으며, 이 선형회귀 모델의 적합성을 평가하기 위하여 심박변이도 데이터를 5분 길이의 16개 세그먼트로 나눈 뒤 실제 스트레스 정도와 추정된 스트레스 정도를 비교해 보았다. 그 결과 일부 세그먼트에서 부정확한 추정 결과가 관찰되기도 하였으나, 실제 스트레스 변화 패턴과 예측된 스트레스 변화 패턴 사이에 높은 상관성이 확인되었다($r=0.8560{\pm}0.0619$). 향후 운전자 구속을 최소화하면서 측정 가능한 심박변이도 분석 시스템을 개발하고, 이를 Healey 등의 연구에서와 유사한 운전 프로토콜을 통해 다수의 피험자에게 적용함으로써 본 연구결과가 유효한지 검증할 계획이다.

• 한국방사선학회논문지
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• 제15권4호
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• pp.499-505
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• 2021

본 연구는 HRV 신호를 분석하여 비임산부와 임산부의 시기별 자율신경계 활성도를 비교하였다. W병원의 질병이 없는 임산부 99명과 비임산부 27명을 연구대상으로 하였다. 획득한 HRV 신호는 프로그램을 이용해 시간영역 분석, 주파수 영역 분석을 실시하였다. 측정된 값은 일원배치 분산 분석을 통해 임신 시기별 간의 차이를 통계 분석 하였다. 결과에서, 시간 영역 분석에서 SDNN과 RMSSD는 임신 초기와 비임신 여성의 결과값이 임신 중기, 말기와 비교했을 때 유의하게 높았다. 주파수 영역 분석에서 LF와 HF는 임신 초기와 비임신의 값이 중기, 말기에 비하여 유의하게 높았으나 VLF와 LF/HF에서는 유의한 차이가 없었다. 이는 임신이 진행될수록 비임신 상태와 임신 초기보다 중기 및 말기에 자율신경 조절 능력이 저하되고 신체적 피로도와 정신적 피로도가 증가하게 되는 것을 의미한다. 따라서 임신 기간이 길어질수록 임산부의 심신 안정을 유지하기 위해 각별한 관리가 필요할 것으로 사료된다.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1997년도 추계학술대회논문집
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• pp.473-476
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• 1997

Human visual emotion were investigated by analyzing HRV from ECG signals, which were varied by the visual stimuli. In this paper, twelve university students experienced visual emotion by pictures from IAPS. ECG and subjective rating were obtained for human emotion evaluation. For determination of HRV, ECG was extracted into HF and LF via power spectrum analysis. The results showed that HRV is good for discrimination between positive and negative emotions.