• Journal of Acupuncture Research
• /
• v.23 no.5
• /
• pp.207-218
• /
• 2006

목적 : 심박수 변이도(Heart Rate Variability. HRV)를 통해 사암침법 치료법 중 심신 질환에 많이 적용되는 심정격 자침법과 자율신경계와의 관계를 살펴보고자 하였다. 방법 : 2006년 5월 1일부터 2006년 6월 31일까지 2개월간 특별한 과거력이 없는 건강인을 대상으로 실험군 37명을 사암침법 심정격을 자침하고 시술 전후에 HRV를 측정하여 별무처치 상태로 안정을 취한 후 측정한 대조군 21명과 비교하였다. 결과로 얻은 MHRT, SDNN, RMSSD, TP, LF, HF, LF/HF ratio 등의 수치 변화를 비교해 기록 시간 동안의 평균 심박수, 외부 스트레스에 대한 심박동의 변화상태, 심장에 관여하는 자율신경 중 부교감신경의 활동, 교감신경과 부교감신경의 균형 상태 등을 분석하였다. 결과 1. MHRT는 실험군에서 유의성이 있는 것으로 나타났다. 2. SDNN는 실험군 대조군 모두 통계적인 유의성이 없었다. 3. RMSSD은 실험군 대조군 모두 통계적인 유의성이 없었다. 4. TP는 실험군 대조군 모두 통계적인 유의성이 없었다. 5. LF, HF은 실험군 대조군 모두 통계적인 유의성이 없었다. 6. LF/HF ratio는 실험군에서 유의성이 있는 것으로 나타났다. 결론 : 부교감신경과 교감신경의 비교 지표로 다용되는 LF/HF ratio가 유의한 차이를 보여 심정격 자침이 자율신경계의 항진을 완화시키는 것으로 사료된다. 향후 환자의 병인과 상태에 따라 실증과 허증으로 구분하여 시술하는 등의 추가적인 연구가 필요할 것으로 사료된다.

• Journal of Environmental Health Sciences
• /
• v.41 no.4
• /
• pp.223-230
• /
• 2015

Objectives: There is considerable evidence that polluted ambient air contributes to the risk of cardiovascular morbidity and mortality. Heart rate variability (HRV) is defined as the variation in heartbeat intervals and has been reported as a biological marker of cardiovascular disease. This article reviews the existing literature in order to examine the association between air pollution and HRV. Methods: Literature was searched using Web of Science with the key words of "air pollution", "heart rate variability" and other related terms. A total of 156 articles were listed. For review, 21 of those listed publications were chosen after excluding studies regarding chamber studies, occupational environment, secondhand smoke and automobile exhaust. Results: Research methods employed in the publications were classified by type of participants (elderly/adult), air pollution monitoring (ambient/personal) and HRV monitoring (continuous/spot). Among HRV parameters, power in the low frequency range (LF), power in the high frequency range (HF) and standard deviation of all NN intervals (SDNN) were all associated with air pollutants. The chosen studies were mostly based on elderly populations. In studies based on continuous HRV monitoring, LF and SDNN significantly decreased when $PM_{2.5}$ exposure increased. Conclusion: Continuous HRV monitoring combined with personal exposure monitoring has been one of the most common study methods in recent publications. We expect that this review will be useful for the study of the association between air pollution and cardiovascular effects using HRV.

• The Journal of the Society of Korean Medicine Diagnostics
• /
• v.10 no.2
• /
• pp.79-87
• /
• 2006

Objective : Biologic responses to color stimulation was observed and analyzed in relation with Korean medicine diagnostics. Methods : Twelve volunteers participated and completed the questionnaire on Hanyeol or Joseup patterns of Korean medicine diagnostics. Standard deviation of RR intervals (SDNN), an overall indicator of heart rate variability, was measured while wearing partially transparent acetate film glasses of various colors: (1) transparency or black, (2) red, green, or blue, or (3) cyan, or yellow. Results : Different responses to the color environmental stimulation were observed. Yeol pattern score was inversely related with the SDNN value under red color stimulation. Conclusion : This line of observations may serve as a basis of clinical application of color therapy, in particular, in relation with pattern diagnosis of Korean medicine, and may be applied in combination with existing electrodermal meridian measurement systems for better evaluation of Gi (life energy) phenomenon.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.5
• /
• pp.3579-3586
• /
• 2015

In this study, EEG, HRV, and Vibra image were compared and analyzed in the environmental test room due to stimulation of aroma and color temperature. The condition of the environmental test room was in temperature $25[^{\circ}C]$, relative humidity 50[RH%], air current speed 0.02[m/s] and illuminance 1000[lux] with setting up different sensory stimulation condition which are before exposure, single-sensory stimulation of Jasmine scent, single-sensory stimulation of RED color lighting, and multi-sensory stimulation of Jasmine scent and RED color lighting. The result of this study, at multi-sensory stimulation of Jasmine scent and RED color lighting, relative $S{\alpha}$ wave, SEF50, $SMR/{\theta}$ and SDNN were revitalized, and both sides ${\alpha}$ wave asymmetry index, stress index, fatigue degree, and HRT were decreased. Also, Viba image of tension/anxiety and stress were declined. Therefore multi-sensory stimulation of Jasmine scent and RED color lighting effects to increase the Neuro-energy like amenity, productivity of work efficiency, and concentration.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.1
• /
• pp.418-425
• /
• 2013

In this study, the three scents effects on subjects due to EEG type, and it researched to find optimal scent to increase their amenity and productivity. EEG and HRV were compared and analyzed in the environmental test room by classifying subjects into two type: A and B. The condition of the environmental test room was in temperature 31[$^{\circ}C$], relative humidity 50[RH%], air current speed 0.02[m/s] and illuminance 1000[lux] with setting up three different scents which are Rosemary, Jasmine and Hazelnut. The result of this study, at Jasmine scent for A and B type, relative ${\alpha}$ wave, SEF50, $\frac{SMR}{\theta}$ and SDNN were revitalized, and ${\alpha}$ wave asymmetry index, HRT, stress index and fatigue degree were decreased. It was found that favorite scent of A and B type is same as Jasmine scent, but A type was more sensitive than B type about scent. Therefore Jasmine scent is very effective to increase amenity, productivity and concentration, and to decrease stress and fatigue degree.

• The Journal of Korean Obstetrics and Gynecology
• /
• v.24 no.1
• /
• pp.74-86
• /
• 2011

Objectives: The purpose of this study was to examine correlation between Heart Rate Variability and urine analysis of women with urinary disturbance. Methods: We studied 34 patients visiting ${\bigcirc}{\bigcirc}$hospital from January 2010 to September 2010. The subjects were categorized in two groups, symptom group (n=11) and no symptom group(n=23). We studied the difference of Heart Rate Variability and urine analysis between two groups by Student T-test and correlation between Heart Rate Variability and urine analysis by Pearson's correlation coefficient test using SPSS for windows (version 17.0). Results: Occult blood of symptom group was significantly higher than no symptom group. SDNN, TP and HF of symptom group was significantly lower than no symptom group. Occult blood and SDNN, occult blood and RMS-SD, occult blood and HF significantly showed negative correlation coefficient. pH and TP, pH and LF significantly showed positive correlation coefficient. Conclusion: The results suggest that urinary disturbance can be related to decreased activity of autonomic nervous system. Also urine from women with urinary disturbance tend to show higher occult blood.

• Journal of Oriental Neuropsychiatry
• /
• v.22 no.4
• /
• pp.87-100
• /
• 2011

Objectives : This study aims to evaluate the relationship between HRV indices and scores of emotional questionnaires and to find out the effective way to assess patients emotional and physical condition. Methods : We selected 144 patients who had both HRV data and BDI, STAI and STAXI scores on the chart among outpatients from July 2006 to December 2010. The relationship between the scores rated from the questionnaires and HRV indices are analyzed. And the HRV indices of patients included in the top 30 percent group and the bottom 30% group are compared. Results : 1. There were no significant correlations between HRV indices and scores of BDI, STAI and trait anger of STAXI. 2. SDNN and TP of HRV significantly decreased with higher state anger scores of STAXI. The top 30 percent group of state anger had lower SDNN, TP, LF, HF and HRV-index and higher pNN50 than the bottom 30 percent group. 3. RMSSD of HRV significantly decreased with higher anger-in scores of STAXI. The top 30 percent group of anger-in had lower RMSSD than the bottom 30 percent group. Conclusions : HRV can be used to evaluate emotional and physical changes related to state anger and inappropriate anger expression.

• Mood & Emotion
• /
• v.15 no.3
• /
• pp.117-122
• /
• 2017

Objectives : Early life stress (ELS) may have impact on functions of the autonomic nervous system. Heart rate variability (HRV) is a reliable psychophysiological marker for functions of the autonomic nervous system. The purpose of this study was to investigate characteristics of HRV associated with ELS in patients with major depressive disorder (MDD). Methods : We compared HRV measures of MDD patients with ELS and without ELS in a 5-minute resting-state electrocardiogram recoding. Forty subjects participated in the study (25 with ELS, 15 without ELS). The Mann-Whitney test was conducted to identify group differences. Results : We found significant group differences in standard deviation of the NN interval (SDNN) and total power (TP). SDNN was lower in the ELS group (M=38.80 ms, SD=13.05 ms) than in the Non-ELS group (M=53.53 ms, SD=19.47 ms). TP was lower in the ELS group ($M=7.07ms^2$, $SD=0.69ms^2$) than in the Non-ELS group ($M=7.72ms^2$, $SD=0.77ms^2$). Conclusion : ELS may have a negative impact on the autonomic nervous system function in patients with MDD. ELS and dysfunction of autonomic nervous system should be considered in treatment for patients with MDD.

• The Journal of Korean Obstetrics and Gynecology
• /
• v.30 no.3
• /
• pp.54-64
• /
• 2017

Objectives: The purpose of this study is to demonstrate Heart Rate Variability characteristics of menopausal patients with insomnia. Methods: From March 1, 2014 to June 20, 2017, Heart Rate Variability was measured in 102 menopausal patients who visited Cheonan Korean Medicine Hospital of Daejeon University. We compared accompanying symptoms and Heart Rate Variability values depending on sleep quality in menopausal women. Results: The accompanying symptoms of menopausal patients were as follows: hot flushes (45.1%), tiredness (25.49%), chest discomfort and palpitations (23.53%), headache (17.65%), arthralgia and muscular pain (17.65%), cold sensitivity of hands and feet (15.69%), urinary frequency (14.71%) and anxiety (10.78%). The frequency of chest discomfort and palpitation was significantly higher in the menopausal insomnia group than in normal sleep group. Comparing Heart Rate Variability between two groups, Standard deviation of the NN interval (SDNN), Total Power (TP), and Low Frequency (LF) values were significantly lower in insomnia group. Conclusions: Chest discomfort and palpitations were more frequent in insomnia patients in menopausal women than normal sleep group, and Standard deviation of the NN interval (SDNN), Total Power (TP), Low Frequency (LF) were significantly lower in HRV values.

• Journal of Digital Convergence
• /
• v.19 no.9
• /
• pp.257-269
• /
• 2021

The purpose of this study is to collect biosignal data in a non-invasive and non-restrictive manner using a BCG (Ballistocardiogram) sensor, and utilize artificial intelligence machine learning algorithms in ICT and high-performance computing environments. And it is to present and study a method for developing and validating a data-based blood glucose prediction model. In the blood glucose level prediction model, the input nodes in the MLP architecture are data of heart rate, respiration rate, stroke volume, heart rate variability, SDNN, RMSSD, PNN50, age, and gender, and the hidden layer 7 were used. As a result of the experiment, the average MSE, MAE, and RMSE values of the learning data tested 5 times were 0.5226, 0.6328, and 0.7692, respectively, and the average values of the validation data were 0.5408, 0.6776, and 0.7968, respectively, and the coefficient of determination (R²) was 0.9997. If research to standardize a model for predicting blood sugar levels based on data and to verify data set collection and prediction accuracy continues, it is expected that it can be used for non-invasive blood sugar level management.