• Title/Summary/Keyword: 심박변이

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Effects of Qi Gong Exercise on the Immune Response, Pulse Wave Parameter and Heart Rate Variability(HRV) for Post Mastectomy Women (기공(氣功) 운동이 유방암 절제술 여성의 면역, 맥상파 및 심박변이에 미치는 영향)

  • Kim, Yi Soon;Lee, Jeong Won;Kim, Yun Hee;Oh, Mi Jung;Kim, Gyeong Cheol
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.19 no.2
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    • pp.75-90
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    • 2015
  • Objectives The purposes of this study was to develope a Qi gong exercise that suits characteristics of post mastectomy women, and to evaluate the effect of Qi gong exercise on immune response, blood circulation index, pulse wave parameter and heart rate variability. Methods This study was applied to total 35 post mastectomy women, including 17 for experiment group and 18 for control group. The Qi gong exercise was composed of total 24 times of 90 minutes per each time, twice a week, and 12 weeks and it was conducted by the oriental medicine professor who was an expert of Qi gong exercise. Results 1. Two group comparison revealed that the experimental group had significantly improved immune response(p<.021), HR(beats/min)(p<.001), ESV(ml/beat)(p=.038), ESI($ml/beat/m^2$)(p=.040), ECO (L/min)(p=.019), ECI($L/min/m^2$)(p=.023), ECRI($dyne^*sec/cm$)(p=.015), Left Kwan($div^3$)(p=.021), Right Kwan($div^3$)(p=.038), Mean HRV(cycle/min)(p<.001), SDNN(ms)(p=.043), RMSSD(ms)(p=.040), and TP(log $ms^2$)(p=.039). 2. Two group comparison revealed that the experimental group had significantly decreased ECR ($dyne^*sec^*cm^{-5}$) (p=.034), Left RAI(p=.044), Right RAI(p=.042), and pNN50(%)(p=.038). Conclusions These results from Qi gong exercise program can be used as basic data for development of health promotion program for Post Mastectomy Women.

Effect of Horizontal Eye Movements on the Heart Rate Variability after Exposure to a Fear-Inducing Film Clip (공포 영화 장면 노출 후 수평적 안구 운동이 심박수 변이도에 미치는 영향)

  • Lee, Haewon;Yum, Myung-Kul;Kim, Seok Hyeon;Lee, Yun Jeong;Kim, Daeho
    • Korean Journal of Biological Psychiatry
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    • v.15 no.1
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    • pp.35-45
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    • 2008
  • Objectives : There has been a continued debate regarding the role of eye movements in Eye Movement Desensitization and Reprocessing(EMDR). This study examined the possible autonomic effect of horizontal eye movements after being exposed to fearful stimuli. Methods : Fifty two healthy adult women were randomly allocated to eye movement or eye fixed groups after watching a five minute fear-inducing film clip. ECG was recorded during the resting state, after watching the clip, and the treatment. A spectral power analysis of the heart rate variability was performed. As the variables violated the rule of normal distribution and the number in each group is small the non-parametric test was used. Results : Overall, we did not find the differences between the groups in both time and frequency domains. Some minor differences found were not consistent with results from previous studies. Conclusions : Effect of eye movement on autonomic nervous system during fear desensitization was not supported in this experiment. Further study with other psychophysiological measures is needed to understand the role of eye movements in treatment of traumatic memory.

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Multi-parametric Diagnosis Indexes and Emerging Pattern based Classification Technique for Diagnosing Cardiovascular Disease (심혈관계 질환 진단을 위한 복합 진단 지표와 출현 패턴 기반의 분류 기법)

  • Lee, Heon-Gyu;Noh, Ki-Yong;Ryu, Keun-Ho;Jung, Doo-Young
    • The KIPS Transactions:PartD
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    • v.16D no.1
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    • pp.11-26
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    • 2009
  • In order to diagnose cardiovascular disease, we proposed EP-based(emerging pattern- based) classification technique using multi-parametric diagnosis indexes. We analyzed linear/nonlinear features of HRV for three recumbent postures and extracted four diagnosis indexes from ST-segments to apply the multi-parametric diagnosis indexes. In this paper, classification model using essential emerging patterns for diagnosing disease was applied. This classification technique discovers disease patterns of patient group and these emerging patterns are frequent in patients with cardiovascular disease but are not frequent in the normal group. To evaluate proposed classification algorithm, 120 patients with AP (angina pectrois), 13 patients with ACS(acute coronary syndrome) and 128 normal people data were used. As a result of classification, when multi-parametric indexes were used, the percent accuracy in classifying three groups was turned out to be about 88.3%.

Characteristics in Heart Rate Variability associated with Early Life Stress in Patients with Major Depressive Disorder (주요우울장애 환자에서 생애초기스트레스와 연관된 심박변이도의 특성)

  • Lee, Chiheon;Kim, Min-Kyeong;Choi, Sun-Woo;Park, Hae-in;Seok, Jeong-Ho
    • Mood & Emotion
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    • v.15 no.3
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    • pp.117-122
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    • 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.

Analyzing Heart Rate Variability for Automatic Sleep Stage Classification (수면단계 자동분류를 위한 심박동변이도 분석)

  • 김원식;김교헌;박세진;신재우;윤영로
    • Science of Emotion and Sensibility
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    • v.6 no.4
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    • pp.9-14
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    • 2003
  • Sleep stages have been useful indicator to check a person's comfortableness in a sleep, But the traditional method of scoring sleep stages with polysomnography based on the integrated analysis of the electroencephalogram(EEG), electrooculogram(EOG), electrocardiogram(ECG), and electromyogram(EMG) is too restrictive to take a comfortable sleep for the participants, While the sympathetic nervous system is predominant during a wakefulness, the parasympathetic nervous system is more active during a sleep, Cardiovascular function is controlled by this autonomic nervous system, So, we have interpreted the heart rate variability(HRV) among sleep stages to find a simple method of classifying sleep stages, Six healthy male college students participated, and 12 night sleeps were recorded in this research, Sleep stages based on the "Standard scoring system for sleep stage" were automatically classified with polysomnograph by measuring EEG, EOG, ECG, and EMG(chin and leg) for the six participants during sleeping, To extract only the ECG signals from the polysomnograph and to interpret the HRV, a Sleep Data Acquisition/Analysis System was devised in this research, The power spectrum of HRV was divided into three ranges; low frequency(LF), medium frequency(MF), and high frequency(HF), It showed that, the LF/HF ratio of the Stage W(Wakefulness) was 325% higher than that of the Stage 2(p<.05), 628% higher than that of the Stage 3(p<.001), and 800% higher than that of the Stage 4(p<.001), Moreover, this ratio of the Stage 4 was 427% lower than that of the Stage REM (rapid eye movement) (p<.05) and 418% lower than that of the Stage l(p<.05), respectively, It was observed that the LF/HF ratio decreased monotonously as the sleep stage changes from the Stage W, Stage REM, Stage 1, Stage 2, Stage 3, to Stage 4, While the difference of the MF/(LF+HF) ratio among sleep Stages was not significant, it was higher in the Stage REM and Stage 3 than that of in the other sleep stages in view of descriptive statistic analysis for the sample group.

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The Understanding of Depression Subtypes (우울증 아형들의 이해)

  • Han, Chang-Hwan;Ryu, Seong Gon
    • Korean Journal of Biological Psychiatry
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    • v.8 no.1
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    • pp.20-36
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    • 2001
  • The debate about whether depressive disorders should be divided into categories or arrayed along a continuum has gone for decade, without resolution. In our review, there is more evidence consistent with the spectrum concept than there is with the idea that depressive disorders constitute discrete clusters marked by relatively discontinuous boundaries. First, "depression spectrum", "is there a common genetic factors in bipolar and unipolar affective disorder", "threshold model of depression" and "bipolar spectrum disorder" are reviewed. And, a new subtype of depression is so called SeCA depression that is a stressor-precipitated, cortisol-induced, serotonin-related, anxiety/aggression-driven depression. SeCA depression is discussed. But, there is with the idea that depressive disorders constitute discrete subtypes marked by relatively discontinuous boundaries. This subtypes of depressive disorder were reviewed from a variety of theoretical frames of reference. The following issues are discussed ; Dexamethasone suppression test(DST), TRH stimulation test, MHPG, Temperament Character Inventory(TCI), and heart rate variability(HRV).

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Development of Healthcare Bathing System for Improving the Multisensory Functions (복합감각 기능증진 개념의 헬스케어 목욕시스템 개발)

  • Kim, Hyung-Ji;Yu, Mi;Jin, Hea-Ryen;Kwon, Tae-Kyu
    • Science of Emotion and Sensibility
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    • v.13 no.2
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    • pp.309-316
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    • 2010
  • This paper proposes healthcare bathing system for improving the multisensory function and not washing. We designed various types of bathtub for developing bathing system. This system consists of whirlpool bathtub for multisensory stimulation, a cover of bathtub with visual-auditory stimulation function, a small size PC for main control, touch panel, digital multimedia broadcasting (DMB), color-changeable LED mood lighting system for improving visual sensibility and speaker. We investigate the effects on autonomic nervous system during bathing with healthcare bathing system for improving the multisensory functions. To analysis physiological parameter, body temperature, blood pressure, intraocular pressure and heart rate variability (HRV) were measured before, during and after bath using healthcare bathing system. Experiments were performed on partial immersion bath and the water temperature was kept $39{\pm}0.5^{\circ}C$. The body temperature and the heart rate variability of the subject were measured every 5 minutes before, during, and after the bath. In analysis of HRV, the parasympathetic nerve increased from starting bath and decreased after 15 minutes. So the subjects felt comfortable at 15 minutes after starting bath. Blood pressure decreased to 16mmHg maximumly however pulse increased. Bath using healthcare bathing system for improving the multisensory functions affects positively the circulation of the blood. From this results, it leaves something to be desired in evaluation of serviceability and physiological analysis using the healthcare bathing system, however, we expect to analyze more clearly the relationship between the serviceability of product, physiological change and sensibility by various physiological parameters.

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Characteristics in HRV(heart rate variability), GSR(galvanic skin response) and skin temperature for stress estimate (스트레스 평가를 위한 심박 변이도, 전기피부반응 및 피부온도 특성)

  • Cho, Young Chang;Kim, Min Soo
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.3
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    • pp.11-18
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    • 2015
  • Stress is one of the major causes threatening the mental and physical health of human today. In this paper, we analyzed the heart rate variability(HRV), galvanic skin response(GSR), and skin temperature data measured from the university subjects before and after the class to examine the influence on bio-signal in stress environment. Thirty subjects from university students (aged between 21 and 27 years; mean=22.31, STD=1.45) took part in this study. From the experiment results, RMSSD(p=0.033), LF peak(p=0.003), VLF(p=0.045) were statistically significant from those of the control group(p<0.05) of HRV both in time and frequency domain. We observed that mean skin conductivity after the class(mean=5.993(uS), SD=3.406) is higher than that before the class(mean=3.039(uS), SD=2.628) by 97.2% on average and the skin temperature after the class($34.835{\pm}0.305$) is slightly higher than that before the class($34.471{\pm}0.281$) by 1.055% on average. The results in this research could be used to examine the autonomic response in clinical stress related research.

Automatic Left Ventricle Segmentation Algorithm using K-mean Clustering and Graph Searching on Cardiac MRI (K-평균 클러스터링과 그래프 탐색을 통한 심장 자기공명영상의 좌심실 자동분할 알고리즘)

  • Jo, Hyun-Wu;Lee, Hae-Yeoun
    • The KIPS Transactions:PartB
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    • v.18B no.2
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    • pp.57-66
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    • 2011
  • To prevent cardiac diseases, quantifying cardiac function is important in routine clinical practice by analyzing blood volume and ejection fraction. These works have been manually performed and hence it requires computational costs and varies depending on the operator. In this paper, an automatic left ventricle segmentation algorithm is presented to segment left ventricle on cardiac magnetic resonance images. After coil sensitivity of MRI images is compensated, a K-mean clustering scheme is applied to segment blood area. A graph searching scheme is employed to correct the segmentation error from coil distortions and noises. Using cardiac MRI images from 38 subjects, the presented algorithm is performed to calculate blood volume and ejection fraction and compared with those of manual contouring by experts and GE MASS software. Based on the results, the presented algorithm achieves the average accuracy of 6.2mL${\pm}$5.6, 2.9mL${\pm}$3.0 and 2.1%${\pm}$1.5 in diastolic phase, systolic phase and ejection fraction, respectively. Moreover, the presented algorithm minimizes user intervention rates which was critical to automatize algorithms in previous researches.

A Study of Intrinsic Alpha Rhythm, Electroencephalography, and Heart Rate Variability Index as Indicators of Cognitive Function and Health in Elderly Adults (노년기 인지기능 및 건강상태를 반영하는 지표로써 Alpha 고유리듬과 뇌파 및 HRV 지표와의 관계 연구)

  • Shim, Jun-Young
    • Science of Emotion and Sensibility
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    • v.22 no.3
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    • pp.21-34
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    • 2019
  • This study was an examination of the relevance and clinical significance of electroencephalographic (EEG) indexes (e.g., mental/physical stress and attention) and indexes of heart rate variability (HRV) with regard to cognitive function and physiological health conditions in elderly people. A device was used to record two-channel EEGs of the frontal lobe and a one-channel ECG simultaneously. Subjects were 76 people average aged 73. The significant findings are as follows: First, subjects whose intrinsic alpha rhythm had high amplitude, regardless of peak, showed higher resistance to mental stress and lower physical stress than did subjects with low-amplitutde intrinsic alpha rhythm. Second, HRV, SDNN, and RMSSD indexes showed strong positive correlations between the two groups of subjects regardless of the division of groups. Third, the alpha asymmetry of the left and right sides of the brain in subjects with low-amplitude intrinsic alpha rhythm was larger, and the delta/alpha ratio (reflecting physical stress) and theta/sensorimotor rhythm (SMR) ratio (showing the decline in attention) were bigger. Fourth, the subjects in whom intrinsic alpha rhythm peak occurred during slow rhythm had a higher theta/SMR ratio than did subjects whose peak occurred during fast rhythm, which was related to a steeper decline in attention. Therefore, the presence or absence of intrinsic alpha rhythm peak and amplitude on quantitative EEG may be an index reflecting the cognitive function and physiological health of elderly people.