• 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 Association of Geographic Information Studies
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• v.2 no.1
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• pp.32-44
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• 1999

Texture features can be incorporated in classification procedure to resolve class confusions. However, there have been few application-oriented studies made to evaluate the relative powers of texture analysis methods in a particular environment. This study evaluates the increases in the land-cover classification accuracy of the SPOT HRV multispectral data of Pusan Metropolitan area from texture processing. Twenty-four texture measures were derived from the SPOT HRV band 3 image. Each of these features were used in combination with the three spectral images in the classification of 10 land-cover classes. Supervised training and a Gaussian maximum likelihood classifier were used in the classification. It was found that while entropy produces the best empirical results in terms of the overall classification, other texture features can also largely improve the classification accuracies obtained by the use of the spectral images only. With the inclusion of texture, the classification for each category improves. Specially, urban built-up areas had much increase in accuracy. The results indicate that texture size 5 by 5 and 7 by 7 may be suitable at land cover classification of Pusan Metropolitan area.

• The Journal of Korean Obstetrics and Gynecology
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• v.24 no.4
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• pp.50-61
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• 2011

Purpose: This study was performed to analyse autonomic nerve function of some examinees with dysmenorrhea by comparing the characteristics of dysmenorrhea patients' Heart Rate Variability(HRV) in examinees group with non-examinees group. Methods: We studied 110 patients visiting OO Korean hospital to take medical treatment for dysmenorrhea from September, 2006 to August, 2010. The subjects were categorized in two groups, 36 examinees and 57 non-examinees controls. We investigated the difference of HRV between two groups by student's T-test using SPSS for Windows(version 12.0). Results: 1. SDNN in examinees group is statistical significantly lower than non-examinees group. RMS-SD in examinees group is lower than non-examinees group non-statistical significantly. Mean PR in examinees group is higher than non-examinees group non-statistical significantly. 2. VLF, ln TP, ln VLF and ln HF are statistically significantly lower than non-examinees group. TP, HF and ln LF are lower than non-examinees group non-statistical significantly. LF is higher than non-examinees group non-statistical significantly. Conclusions: The results suggest that stress is related to especially examinees in dysmenorrhea patients by effecting autonomic nerve function. HRV can be useful to diagnose examinees' dysmenorrhea. The further studies would be needed to study about relation between stress, dysmenorrhea and HRV for settling this.

• The Journal of Korean Obstetrics and Gynecology
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• v.24 no.4
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• pp.95-104
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• 2011

Objectives: The purpose of this study is to investigate the relationship between the degree of menopausal symptom and granulocyte/lymphocyte ratio, and heart rate varibility(HRV). Methods: From 11th April 2011 to 20th May 2011, a total 30 female subjects (age 41-60) was recruited. We evaluated the degree of menopausal symptoms by Kupperman' s index and measured subject's WBC differential count and HRV. The data were analyzed by Kruskal-Wallis test and Spearman correlation test using SPSS/PC ver 13.0 program. Results: 1. There was no statistically significant difference in granulocyte/lymphocyte ratio and HRV among 4 classified groups according to Kupperman's index.- Mild, Moderate, Severe and Urgent. 2. Granulocyte ratio and general symptom score(within Kupperman's index) significantly showed negative correlation coefficient(r=-0.499, p=0.005), and Lymphocyte ratio and general symptom score significantly showed positive correlation coefficient (r=0.374, p=0.042). 3. Granulocyte/lymphocyte ratio and HRV showed no significant correlation. Conclusions: There was no significant relation among the degree of menopausal symptoms and granulocyte/lymphocyte ratio, and HRV. But furthermore large scale study is required.

• 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.

• Journal of Platform Technology
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• v.9 no.1
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• pp.40-45
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• 2021

Our daily lives have changed a lot because of the COVID-19 pandemic. This is essential to reduce the spread of COVID-19 due to public health measures such as social distancing. At the same time, however, they are exposed to depression, anxiety disorders, depressive disorders, trauma and stress-related disorders. For this, we developed an application that can check HRV data and stress index by measuring ECG and PPG based on a Smart Watch device that can measure bio-signals in real time. In the case of the developed application, the heart rate is measured and displayed in real time to deliver basic exercise information by measuring exercise, steps and calories, and total distance, and smoothly based on blood pressure, heart rate, and HRV data as a measurement program. Through this, I believe that the IoT Smart Stress Care Application, which can manage mental health by itself, will be helpful to patients with stress and depressive trauma disorders.

• Journal of Korean Biological Nursing Science
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• v.23 no.1
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• pp.22-30
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• 2021

Purpose: This descriptive study aimed to investigate heart rate variability (HRV) according to sex and to elucidate the influence of negative emotion such as levels of stress, anxiety and depression on HRV among Korean college students based on a neurovisceral integration model. Methods: A descriptive study design was used. Eighty-six healthy college students participated in the study. Resting HRV and standing HRV on orthostatic stimulation were measured for 5 minutes during 4-6 p.m. in the afternoon. Levels of stress, anxiety and depression were assessed using the Global assessment of recent stress, State-Trait Anxiety Inventory and Beck Depression Index, respectively. Results: Out of the 86 students, 47 (54.7%) were men and 39 (45.3%) were women. Root mean square of the differences between adjacent RR intervals (RMSSD) and normalized high frequency (nHF) on standing HRV were significantly lower in men than in women (p= .005, p= .019, respectively). Male gender (β= 0.30, p= .013), higher level of stress (β= -0.36, p= .009) and lower level of depression (β = 0.30, p= .044) exerted a significant influence on decreased nHF in the multiple regression analysis. Conclusion: We suggest that men are more vulnerable to having reduced vagal activity on HRV than women. Since male gender, higher level of stress and lower level of depression level influenced decreased vagal activity, strategies are needed to improve stress and depression rather than anxiety especially for men, which contribute to promoting HRV to prevent cardiac health diseases.

• Journal of the Korean Society of Radiology
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• v.16 no.5
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• pp.545-551
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• 2022

This study analyzed the correlation between stress measurements calculated through HRV signals and thyroid function test items. 181 healthy adults without disease who visited Clinic K were the subjects of this study. Stress resistance (SR) and stress index (SI) were calculated using the acquired HRV signal, and TSH, Free T4, and T3 were used as thyroid function test items. For the measured values, the relationship between each item was statistically analyzed through Pearson correlation analysis. From the results, it was confirmed that Free T4 and SR had a positive correlation (r=0.18) and a negative correlation with SI (r=-0.16). Through this, it was confirmed that there is a significant relationship between thyroid function and HRV signal.

• The Korean Journal of Physiology and Pharmacology
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• v.28 no.3
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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.

• Korean Journal of Psychosomatic Medicine
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• v.14 no.2
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• pp.94-101
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• 2006

Objectives : A variety of symptoms are typically reported during anxiety period, several of which are clearly linked to the autonomic nervous system(ANS), such as palpitations, chest pain and shortness of breath. Using spectral analysis of heart rate, several studies have shown that patients with anxiety disorder are characterized by a reduced heart rate variability(HRV), indicative of abnormalities in ANS fuction. To further evaluate the effect of anxiety and medication on autonomic function, 30 patients and 30 matched control subjects were assessed. Methods : Using spectral analysis of heart rate, which consisted of standardised measurements of HRV, we compared ANS between 30 patients with DSM-IV diagnosed anxiety disorder and 30 healthy controls, and investigated the autonomic effects of SSRI treatment. Five-minute HRV recordings were obtained before and after SSRI treatment and were analysed. Results : Five-minute HRV recordings in anxiety disorder patients revealed that a significant reduction in HRV was shown compared to controls. There was no significant changes in HRV between before and after SSRI treatment. Conclusion: Anxiety disorder patients showed a significant reduction in HRV compared to controls. SSRIs do not affect HRV influenced by ANS function. Further study is needed to confirm these things. Patients with anxiety disorder may suffer from functional disturbances in the interaction between the sympathetic and parasympathetic autonomic tree.