• Anxiety and mood
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• v.9 no.2
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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.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.1
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• pp.125-132
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• 2015

This paper was performed for the older people with cognitive abilities deteriorated, and its effectiveness is analyzed through measurement value of HRV. This paper was investigated the major acupressure that has been used frequently to people who has to decrease cognitive ability in the old documents. We measure the several variation by using a measuring instrument of HRV after performing an operation of acupuncture and moxibustion for elderly degraded cognitive ability. As compared with the measured values, the moxibustion and acupuncture to changes in the autonomic nervous system, heart rate and how it affects the efficacy was measured. As a result of research, acupuncture and moxibustion could be confirmed through the HRV analysis that there is a positive effect on the improvement of cognitive skills.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.12 no.2
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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.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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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.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.11 no.2
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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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• v.27 no.1
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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.

• Journal of Oriental Neuropsychiatry
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• v.34 no.2
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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.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.61-68
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• 2010

The objective of this study was to test the estimation possibility of driver's stress degrees with the HRV analysis. For this, first, HRV analysis was applied to the 5 driver's ECG signals which were acquired in 7 different stress situations. From this, the facts that HRV trend was different from that in long-distance driving and 6 parameters - meanRR, sdRR, HF, LF/HF, LFnorm, HFnorm were useful for the stress estimation in stress varying driving situation. Next, we designed 5 personalized linear regression models in which 6 HRV parameters were input and the outcomes were 7 different stress degrees. Finally, we tested each model for 5min-long 16 segments individually. Consequently, the models could not hit the stress degrees exactly in some segments but the correlation coefficients between original stress pattern and estimated stress pattern during entire driving showed reasonably high.

• Journal of the Korean Society of Radiology
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• v.15 no.4
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• pp.499-505
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• 2021

In this study, HRV signals are analyzed to compare the autonomic nervous system activity of non-pregnant women and pregnant women. 99 disease-free pregnant women and 27 non-pregnant women from W Hospital participated in the study. The acquired HRV signals were used by the program to perform time domain analysis and frequency domain analysis. The measured values were statistically analyzed for differences between pregnancy periods through a one-way ANOVA. In the results, SDNN and RMSSD in time domain analysis had significantly higher results in early pregnancy and non-pregnant women compared to mid- and late pregnancy. In frequency domain analysis, LF and HF had significantly higher values for pregnancy and non-pregnancy compared to midand late-term, but there was no significant difference between VLF and LF/HF. his means that as pregnancy progresses, the ability to control autonomous nerves decreases in the middle and late stages of pregnancy and increases physical fatigue and mental fatigue. Therefore, the longer the pregnancy period, the more special care is needed to maintain mental and physical stability of pregnant women.

• Proceedings of the ESK Conference
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• 1997.10a
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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.