• Journal of Oriental Neuropsychiatry
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• v.21 no.2
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• pp.75-85
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• 2010

Objectives : This study was designed to evaluate the correlation between patterns of dyspepsia(acute dyspepsia, functional dyspepsia, dyspepsia with the organic disease) and autonomic nerve system dysfunction using HRV analysis. Methods : The patient group consisted of 88 patients diagnosed as a dyspepsia (Acute dyspepsia group-35 patients, Functional dyspepsia group-28 patients, Dyspepsia with the organic disease group-28 patients) who visited in the Oriental Medical Hospital of Dong-eui University from 2005.3.OO to 2008.8.OO. And the control group consisted of 33 patients diagnosed as a normal state of stomach during the same period. We checked HRV of the 4 groups over 5 minutes and compared the HRV index between groups. Results : 1. HF, LF, VLF and TP were significantly lower in the acute dyspepsia, functional dyspepsia and organic dyspepsia patient group than in the control group. 2. HF, LF, VLF and TP were higher in the acute dyspepsia patient group than in the organic dyspepsia patient group, but the differences were not statistically significant. 3. HF, LF, VLF and TP were higher in the acute dyspepsia patient group than in the functional dyspepsia patient group, but the differences were not statistically significant. 4. HF, LF, VLF and TP were lower in the functional dyspepsia patient group than in the organic dyspepsia patient group, but the differences were not statistically significant. Conclusions : Compared to the control group, all of the dyspepsia patient groups showed the tendency that the overall activity of the autonomic nervous system and the activity of sympathetic nerves decreased. Although there was no significant difference in the suppression of the autonomic nervous system, chronic dyspepsia patient group was lower than acute dyspepsia patient group, functional dyspepsia patient group was lower than the organic dyspepsia patient group in HRV.

• Journal of Physiology & Pathology in Korean Medicine
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• v.26 no.4
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• pp.532-538
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• 2012

The aim of this study was to find correlation between EGG and HRV parameters in dyspeptic patients. 39 patients (male 8, female 31) were enrolled. EGG and HRV was measured in all patients. EGG parameters like % of gastric slow wave and power ratio were used to classify patients as normal or abnormal EGG groups. HRV parameters which were included TP (total power), LF(low frequency density), HF (high frequency density), and LF/HF ratio were compared between them. EGG parameters were compared among normal, sympathetic hyperactivity, and parasympathetic hyperactivity groups classified by LF/HF ratio. There was no difference in HRV parameters between normal and abnormal EGG groups. Comparing EGG parameters among normal, sympathetic hyperactivity, and parasympathetic hyperactivity groups, both sympathetic and parasympathetic hyperactivity groups had lower value of postprandial regularity of gastric slow wave than normal group. Abnormal value of LF/HF ratio(both sympathetic and parasympathetic hyperactivity) may be related with disturbance of electrical gastric activity in patients with dyspepsia.

• ETRI Journal
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• v.37 no.2
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• pp.222-232
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• 2015

In this paper, we propose a dual-phase approach to improve the process of heart disease prediction in a mobile environment. Firstly, only the confident frequent rules are extracted from a patient's clinical information. These are then used to foretell the possibility of the presence of heart disease. However, in some cases, subjects cannot describe exactly what has happened to them or they may have a silent disease - in which case it won't be possible to detect any symptoms at this stage. To address these problems, data records collected over a long period of time of a patient's heart rate variability (HRV) are used to predict whether the patient is suffering from heart disease. By analyzing HRV patterns, doctors can determine whether a patient is suffering from heart disease. The task of collecting HRV patterns is done by an online artificial neural network, which as well as learning knew knowledge, is able to store and preserve all previously learned knowledge. An experiment is conducted to evaluate the performance of the proposed heart disease prediction process under different settings. The results show that the process's performance outperforms existing techniques such as that of the self-organizing map and gas neural growing in terms of classification and diagnostic accuracy, and network structure.

• The Journal of Korean Medicine
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• v.31 no.2
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• pp.114-123
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• 2010

Objectives: This study was performed to investigate the effect of cold stress on heart rate variability and peripheral blood flow by Doppler ultrasound in healthy subjects. Methods: We classified the subjects by their Yin or Yang tendency using a Yin-Yang questionnaire. Cold stress was taken on the left hand of subjects for 10 seconds. Heart rate variability and peripheral blood flow were measured on the right radial artery before and after cold stress. Results: The Yang tendency group showed a significant decrease of heart rate after cold stress which was not seen in the Yin tendency group. The Yang tendency group showed a decrease of LF, total power, and increase of HF after cold stress, while the Yin tendency group showed the opposite. However, there were no statistically significant differences of heart rate variability analysis between the results of the two groups before and after cold stress. Recovery time of blood flow velocity by ultrasound Doppler was significantly different between the Yin and Yang tendency groups after cold stress. Conclusion: These results suggest that people with Yin or Yang tendency may show different responses in the autonomic nervous system. Further modified studies may include the responses to various manipulation techniques in acupuncture treatment and the individual responses according to pattern identification in traditional Korean medicine.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1395-1405
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• 2017

In this paper, we analyses heart beat data to identify subjects stress state (binary) using heart rate variability (HRV) features extracted from heart beat data of the subjects and implement supervised machine learning techniques to create the mental stress classifier. There are four steps need to be done: data acquisition, data processing (HRV analysis), features selection, and machine learning, before doing performance measurement. There are 56 features generated from the HRV Analysis module with several of them are selected (using own algorithm) after computing the Pearson Correlation Matrix (p-values). The results of the list of selected features compared with all features data are compared by its model error after training using several machine learning techniques: support vector machine, decision tree, and discriminant analysis. SVM model and decision tree model with using selected features shows close results compared to using all recording by only 1% difference. Meanwhile, the discriminant analysis differs about 5%. All the machine learning method used in this works have 90% maximum average accuracy.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.7 no.1
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• pp.50-54
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• 2014

This study presents a method for heart rate detection using oscillation wave signal and tries to enhance the performance of peak detection. For this objective, the method uses the average slopes around the main peak. The crossing point of the increasing and the decreasing slopes is selected as the peak point of heart rate period. The proposed method showed smoothed heart rate graph and reduced irregularity in heart rate values.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.33 no.5
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• pp.485-493
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• 2007

Purpose: Heart rate variability(HRV) is the clinical consequence of various influences of the autonomic nervous system(ANS) on heart beat. HRV can estimate the potential physiologic rhythm from the interval between consecutive beats(RR interval or HRV data). It is known as RSA which represents respiration-related HR rhythmic oscillation. Previous studies demonstrated a specific breathing pattern(0.1Hz, 6breaths/min) to improve a physiological body condition related to the stress. In this paper, the level of stress would be evaluated in terms of three phases of the dental treatment, combined with 6breaths/min. Methods: These phases include before, during and after tooth extraction or anesthesia or something.36 patients' stresses were assessed using HRV stress analyzer in each phase in Kangdong Sacred Heart Hospital, and Chuncheon Sacred Heart Hospital, Hallym University Medical Center from Jun. to Sept. of 2007. HRV 5-min data collected were analyzed in time-domain and frequency-domain to evaluate the activity of autonomic nervous system(ANS) which represents the level of stress. Results: All HRV parameters including HF(high frequency), LF(low frequency) and LF/HF ratio showned a significant change affecting the ANS balance. There was a 6.4% difference between R(LF/HF)s on general breathing pattern for balance of Autonomic nervous system, but on controlled breathing pattern, 0.1Hz, was made narrow till 1.4%. The activity of ANS has increased by 1.4% on general breathing pattern, and by 2.9% on controlled breathing pattern, 0.1Hz. Conclusion: After analysis of preoperative stress changes and effect of breathing pattern of 0.1 Hz on the stress in 36 patients who have undergone third molar extraction, following was concluded. In the preoperative stage, the sympathetic change was the greatest?after the?anesthetic injection, and stress was relieved by controlling the breathing pattern to a frequency of 0.1Hz.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.5
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• pp.330-337
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• 2005

The ratio of aged class has been increasing gradually not only in Korea, but also in the world since several years ago. As a result, many unexpected social problems started to now. The burden charged to this society is to solve those problems; how to take care of that aged people, how to offer jobs to them, etc. It means that the study about the aged class should be done soon. Due to that need, this thesis is wrote out. The aim of this thesis is to detect the emotion of aged people and establish a certain algorithm for detecting it. In the whole process of experiment and analysis, I used HRV(Heart Rate Variability) data since the heart is a representative which is controlled by the ANS(autonomic nervous system), and the ANS reflects the changes in emotion. After stimulating the aged people with the authorized pictures which induce different emotions each. 1 measured HRV of those aged. The HRV data is then analyzed in the two domain area, time and frequency. 1 guessed that the result would show some certain differences according to the pictures and it was shown from the experiment. Seeing the result, HRV was changed by what the aged felt looking at the pictures. Then it also means that visual stimulation influence on the has of the aged people.

• The Journal of Korean Obstetrics and Gynecology
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• v.23 no.4
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• pp.155-163
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• 2010

Purpose: The aim of the study was to compare the characteristics of the autonomic innervation of the heart in polycystic ovary syndrome(PCOS) patients with regulary cycling controls. Methods: We studied 21 patients visiting $\bigcirc\bigcirc$hospital from 25th June 2009 to 25th June 2010. The subjects were categorized in two groups, 11 PCOS patients and 10 healthy regularly cycling controls. We studied the difference of Heart rate variability (HRV) between two groups by Independent samples T-test using SPSS for windows(version 17.0). Results: The Standard deviation of all normal R-R intervals (SDNN), The spuare root of the sum of the spuare of difference between adjacent normal R-R intervals (RMS-SD) of PCOS group was non-significantly lower than non-PCOS group. High frequency power (HF) and Normalized high frequency power (HF norm) of PCOS group was significantly higher than non-PCOS group. Normalized low frequency power (LF norm) of PCOS was signficantly lower than non-PCOS group. The results means increased sympathetic and decreased vagal modulation. Total power (TP), Very low frequency power (VLF) of PCOS group was non-significantly lower than non-PCOS group. Low frequency power (LF), LF/HF ratio of PCOS group was non-significantly higher than non-PCOS group. Conclusion: The results suggest that PCOS can be related to decreased activity of parasympathetic nervous system.

• Journal of Animal Science and Technology
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• v.63 no.3
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• pp.651-661
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• 2021

This study aimed to investigate whether breed, sex, and age affected temperament differently (more or less neophobic) in mature horses during a novel object test. The study included Jeju crossbred (n = 12, age = 9.42 ± 4.57 y), Thoroughbred (n = 15, age = 10.73 ± 3.09 y), and Warmblood horses (n = 12, age = 13.08 ± 3.55 y) with the females (n = 22, age = 11.36 ± 4.24 y) and geldings (n = 17, age = 10.65 ± 3.66 y). Jeju crossbreds (Jeju horse × Thoroughbred) are valuable considering their popular usage in Korea, but limited studies have explored temperament of Jeju crossbred horses. A trained experimenter touched the left side of the neck with a white plastic bag (novel object). The test ended when the horse stopped escape response and heart rate (HR) dropped to baseline. Behavioral score and escape duration were measured as behavioral variables. Multiple variables related to HR and heart rate variability (HRV) were measured to reflect emotional state. These included basal HR (BHR), maximum HR (MHR), delay to reach maximum heart rate (Time to MHR), standard deviation of beat-to-beat intervals (SDNN), root mean square of successive differences (RMSSD), and ratio of low to high frequency components of a continuous series of heartbeats (LF/HF). Statistics revealed that Thoroughbreds had significantly higher behavioral scores, and lower RMSSD than Jeju crossbreds (p < 0.05), suggesting greater excitement and fear to the novel object in Thoroughbreds. None of the behavioral or cardiac parameters exhibited sex differences (p < 0.05). Age was negatively correlated with SDNN and RMSSD (p < 0.05), indicating that older horses felt more anxiety to the novelty than younger horses. Thoroughbreds and females had distinct correlations between behavioral and HRV variables in comparison with other groups (p < 0.05), implying that escape duration might be a good indicator of stress, especially in these two groups. These results are expected to improve equine welfare, safety and utility, by providing insights into the temperament of particular horse groups, to better match reactivity levels with specific functions.