• 제목/요약/키워드: Heart Rate variability(HRV)

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Assessment of Autonomic Function in Functional Headache by Heart Rate Variability (심인성(心因性) 두통(頭痛)의 심박변이도(HRV) 분석에 의한 자율신경기능 평가)

  • Kim, Kyung-Ok;Song, Ji-Hyung;Kim, Geun-Woo;Koo, Byung-Soo;Shim, Sang-Min
    • Journal of Oriental Neuropsychiatry
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    • v.13 no.1
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    • pp.19-37
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    • 2002
  • Objectives : This study sought to define autonomic functional difference on heart rate variability between headache patients and normal subjects Methods : We determined, heart rate variability of 52 headache patients and 30 normal subjects by means of three time domain measures: Mean PR(mean pulse rate), SDNN(standard deviation of all normal R-R intervals), RMSSD(the square root of the mean of sum of the squares of differences between adjacent normal R-R intervals), and five frequency domain measures: TP(total power), VLF(very low frequency), LF(low frequency), HF(high frequency). Results : 1) RMSSD, TP, HF, HF Norm of HRV decreased with aging and LF Norm, LF/HF increased with aging in headache patients. 2) There was no significant differences between migraine and tention headache in any standard index of HRV, whereas, HRV of total headache patients were smaller than those of normal subjects. 3) In the gender comparison, SDNN, RMSSD, HF of tention headache patients were the smallest and then migraine patients, normal subjects in order with man, whereas, LF Norm, LF/HF of normal subjects were the smallest with man. RMSSD of migraine patients were the smallest and then tention headache patients, normal subjects in order with women. 4) In the term of history of headache patients, SDNN, RMSSD were getting lower as long term. 5) There was no significant differences of HRV in physical symptom of headache patients. Conclusions : All of these results show that standard index of HRV of headache patients were significantly different with normal subjects.

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Basic Study for Stress Analysis Using an Unconstrained BCG Monitoring System (무구속 심탄도 모니터링 시스템을 이용한 스트레스 분석 기초연구)

  • Noh, Yun-Hong;Jeong, Do-Un
    • Journal of Sensor Science and Technology
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    • v.20 no.2
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    • pp.118-123
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    • 2011
  • Heart related diseases mainly caused by heavy work load and increasing stress in human daily life. Therefore, researches on mobile healthcare monitoring for daily life has been carried out. Notably, wearable healthcare monitoring system which has least restriction has been tried to provide an emergency alert of abnormal heart rate. In this study, we developed chair type unconstrained BCG measurement system which able to perform continuous heart status monitoring at the office and daily life in the unconstrained way. Furthermore, adaptive threshold is used to detect the heart rate from BCG signals. The HRV(heart rate variability) is calculated from heart rate interval. ECG signal measured using conventional method and BCG signal measured using unconstraint system are carried out simultaneously for the purpose of performance evaluation. From the comparison result, BCG signal shows a similar heart beat characteristic as ECG signal. This proves the possibility of practical implementation of unconstraint healthcare monitoring system. In addition, medical examination like valsalva maneuver is performed to observe the changes in HRV due to stress. By performing valsalva maneuver, heart is said to be placed under an artificial physical stress condition. Under this artificial physical stress condition, the time and frequency domain of HRV parameters are evaluated.

A Study about Heart Rate Variability(HRV) of Examinees with Dysmenorrhea (월경통을 호소하는 수험생의 Heart Rate Variability(HRV) 특성에 관한 연구)

  • Kim, Eun-Gyung;Lee, Mi-Joo;Hwang, Deok-Sang;Lee, Jin-Moo;Jang, Jun-Bock;Lee, Kyung-Sub;Lee, Chang-Hoon
    • 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 Effects of Breath-Counting Meditation and Deep Breathing on Heart Rate Variability

  • Kim, Ji-Hwan;Bae, Hyo-Sang;Park, Seong-Sik
    • The Journal of Korean Medicine
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    • v.37 no.2
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    • pp.36-44
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    • 2016
  • Objectives: This study aimed to evaluate the effects of breath-counting meditation (BCM) and deep breathing (DB) on heart rate variability (HRV). These breathing techniques have the characteristics of non-paced and self-controlled breathings, resulting in less increase of HRV. We also compared BCM and DB with usual breathing (UB) or relaxing breathing (RB) which can reveal the characteristics of those. Methods: 83 healthy volunteers sitting in chairs performed non-paced breathing; UB, RB, BCM, and DB each for 5 minutes. One minute of relaxation was permitted between breathings. Participants surfed the internet sitting in front of a computer during UB, while for RB, they remained steady with eyes closed. For BCM, they breathed inwardly counting from 1 to 10 repetitively, while they took a deep breath during DB. Physiological indices were simultaneously recorded with a biofeedback system. Results: Respiration rate, thoracic amplitude, and mean heart rate decreased in RB compared with UB, but there was no change in HRV. Respiration rate in BCM and DB was lower than that in UB or RB, and the amplitude of thorax or abdomen, and HRV all increased (p<0.05). However, mean heart rate and skin conductance decreased in BCM compared with UB (p<0.05), whereas those were no different between DB and UB. Conclusion: BCM, just concentrating mentally on breathing with counting each breath, can increase HRV with less sympathetic activation, while DB, actively moving thorax and abdomen for achieving the deepest respiration rate, can greatly raise HRV with the maintenance of mean vagal or sympathetic tone.

The Effects of Benson's Relaxation Technique on Heart Rate Variability (벤슨의 긴장이완법이 정상 성인의 심박변이도에 미치는 영향)

  • Lee, Jin-Gyu;Lee, Jae-Hyuk;Lee, Je-Kyun;Kim, Ji-Hyouck
    • Journal of Oriental Neuropsychiatry
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    • v.17 no.3
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    • pp.57-65
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    • 2006
  • Objectives: The purpose of this research is to investigate the effects of Benson's Relaxation Technique on autonomic nervous system for normal subjects with Heart Rate Variability(HRV) and find out relationship with anti - stress effects. Methods: First, Benson's Relaxation Technique was applied on 5 normal subjects for three weeks. Then HRV was examined for 15 minutes Benson's Relaxation Technique application. Next, Benson's Relaxation Technique each 8 times was applied on 5 normal subjects for 1 weeks. Then :HRV was examined each 5 minutes before and after Benson's Relaxation Technique application. Results: 1. SDNN, SDSD increased continuously in HRV for three weeks Benson's Relaxation Technique application. 2. Mean HRV, SDNN, SDSD were significant different in HRV between before and after Benson's Relaxation Technique application at fourth week. Conclusion: The results suggest that Benson's Relaxation Technique application have shown anti-stress effects and the more Benson's Relaxation Technique is repeated, the more effective.

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Neuro-Fuzzy Network-based Depression Diagnosis Algorithm Using Optimal Features of HRV (뉴로-퍼지 신경망 기반 최적의 HRV특징을 이용한 우울증진단 알고리즘)

  • Zhang, Zhen-Xing;Tian, Xue-Wei;Lim, Joon-S.
    • The Journal of the Korea Contents Association
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    • v.12 no.2
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    • pp.1-9
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    • 2012
  • This paper presents an algorithm for depression diagnosis using the Neural Network with Weighted Fuzzy Membership functions (NEWFM) and heart rate variability (HRV). In the algorithm, 22 different features were initially extracted from the HRV signal by frequency domain, time domain, wavelet transformed, and Poincar$\acute{e}$ transformed feature extraction methods; of these 6 optimal features were selected by significance evaluation using Non-overlap Area Distribution Measurement (NADM) based on NEWFM. The proposed algorithm uses these 6 optimal features to diagnose depression with an accuracy of 95.83%.

Design of Real-Time Autonomic Nervous System Evaluation System Using Heart Instantaneous Frequency

  • Noh, Yeon-Sik;Park, Sung-Jun;Park, Sung-Bin;Yoon, Hyung-Ro
    • Journal of Electrical Engineering and Technology
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    • v.3 no.4
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    • pp.576-583
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    • 2008
  • In this study, we attempt to design a real-time autonomic nervous system(ANS) evaluation system usable during exercise using heart instantaneous frequency(HIF). Although heart rate variability(HRV) is considered to be a representative signal widely used ANS evaluation system, the R-peak detection process must be included to obtain an HRV signal, which involves a high sampling frequency and interpolation process. In particular, it cannot accurately evaluate the ANS using HRV signals during exercise because it is difficult to detect the R-peak of electrocardiogram(ECG) signals with exposure to many noises during exercise. Therefore, in this study, we develop the ground for a system that can analyze an ANS in real-time by using the HIF signal circumventing the problem of the HRV signal during exercise. First, we compare the HRV and HIF signals in order to prove that the HIF signal is more efficient for ANS analysis than HRV signals during exercise. Further, we performed real-time ANS analysis using HIF and confirmed that the exerciser's ANS variation experiences massive surges at points of acceleration and deceleration of the treadmill(similar to HRV).

Autonomic Neurocardiac Function in Patients with Major Depressive Disorder - Using a Heart Rate Variability Test Battery - (주요우울장애 환자에서의 자율신경심장기능 - Heart Rate Variability 검사를 사용하여 -)

  • Park, Young-Su;Lee, Kang-Joon;Kim, Hyun;Chung, Young-Cho
    • Sleep Medicine and Psychophysiology
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    • v.11 no.2
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    • pp.100-105
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    • 2004
  • Objectives: Major depression is associated with an increased risk of cardiovascular mortality. One possible explanation for this association is that major depression influences autonomic neurocardiac regulation. However, previous studies on the relationship between heart rate variability (HRV) and major depression have revealed conflicting results. The purpose of this study is to clarify that major depressive patients compared to healthy controls show a reduction in HRV as an expression of reduced modulation of vagal activity to the heart. Methods: According to DSM-IV, the time and frequency domain HRV indices (5-min resting study) of 30 patients with major depressive disorder were compared with those of 30 healthy controls. Standardized HRV tests enable quantitative estimation of autonomic nervous system function. Results: After controlling for age and gender, subjects with major depression showed a higher heart rate and significantly lower modulation of cardiovagal activity compared to controls. The total power (TP) band, very low frequency (VLF: 0.003-0.04 Hz) band, low frequency (LF: 0.04-0.15 Hz) band, and high frequency (HF: 0.15-0.4 Hz) band were significantly reduced in subjects with major depression compared to control subjects. Conclusion: Patients with major depression may suffer from functional disturbances in the interaction between the sympathetic and parasympathetic autonomic systems.

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The Effects of Ratio of Inhalation and Exhalation and Posture on Heart Rate Variability according to Sasang Constitution (호흡 시 호기 및 흡기 비율과 자세가 체질별 심박변이도에 미치는 영향)

  • Kim, Ji-Hwan;Bae, Hyo-Sang;Park, Seong-Sik
    • Journal of Sasang Constitutional Medicine
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    • v.28 no.1
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    • pp.40-50
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    • 2016
  • Objectives We observed what effects both ratio of inhalation and exhalation(I/E) and posture have on heart rate variability(HRV) according to Sasang Constitution(SC).Methods HRV of 73 healthy participants who filled in self-questionnaires was recorded while they carried out 0.1Hz paced breathing(PB) with sitting, usual breathing(UB) with standing, and 0.1Hz PB with standing. PB was conducted to 4:6 or 6:4 of I/E and UB with sitting was executed before and after each breathing. Finally, HRV indices were analyzed of 60 participants(Soeum: 24, Soyang: 18, Taeeum: 18).Results & Conclusions In both self-questionnaires and HRV indices, there are not statistically significant between SC about the posture and I/E. SOEUM preferred 4:6 of I/E and showed lower mean RR and SDNN. SOYANG preferred 6:4 of I/E and showed higher mean RR and lower mean heart rate. TAEUM did not prefer I/E and showed the highest SDNN.

Relationship between Heart Rate Variability and Cold-Heat Patternization in Patient with Chronic Constipation (만성변비환자의 한열변증에 따른 심박변이도에 관한 연구)

  • Park, Jong-Joo;Lee, Myung-Su;Kong, Kyung-Hwan;Go, Ho-Yeon
    • The Journal of Internal Korean Medicine
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    • v.33 no.2
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    • pp.209-221
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    • 2012
  • Objectives : The aim of this study was to investigate the relationship between the autonomic nervous system and the cold-heat pattern in patients with chronic constipation. Methods : Subjects with chronic constipation (n=30) and without chronic constipation (n=20) were recruited, interviewed and measured for heart rate variability (HRV). Chronic constipation was defined as functional constipation and Irritable Bowel Syndrome (IBS) with constipation based on Rome III criteria. We surveyed patients' general characteristics, categorized by cold-heat pattern, and took measurement of HRV for 5 minutes. Analysis was conducted among these three indices. Results : Women accounted for most of the subjects with chronic constipation (96.7%). In groups with or without constipation, the number of cold patterns was more than of heat patterns. The mean heart rate of subjects without chronic constipation was significantly higher than that of subjects with chronic constipation. No other statistical significance was noted among indices of HRV and cold-heat pattern. Conclusions : Through this study, there were few relationships between autonomic nervous system measured by HRV and cold-heat pattern in chronic constipation.