• 제목/요약/키워드: HRV

검색결과 752건 처리시간 0.026초

자율훈련법이 심박변이도에 미치는 영향 (The Effects of Autogenic Training on Heart Rate Variability)

  • 이재혁;이진규
    • 동의신경정신과학회지
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    • 제18권1호
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    • pp.123-132
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    • 2007
  • Objective : The purpose of this research is to investigate the effects of Autogenic Training on autonomic nervous system for normal subjects with Heart Rate Variability(HRV). Then HRV of total subjects were analyzed by Sasang constitution, MBTI type and relaxation therapy experience. Method : Autogenic Training was applied on 39 subjects individually. Then HRV was examined each 5 minutes before and after Autogenic Training application. Results : 1. Mean HRV, SDNN, SDSD were significant different in HRV between before and after Autogenic Training application in total subjects. 2. SDNN, SDSD were significant different in HRV between before and after Autogenic Training application in Soeumin. Mean HRV, SDNN, SDSD were significant different in HRV between before and after Autogenic Training application in Taeeumin. Conclusion : The results suggest that Autogenic Training application have shown anti-stress effects. Autogenic Training application to Soeumin and Taeeumin have shown more anti -stress effects than application to Soyangin.

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심근허혈검출을 위한 심박변이도의 시간과 주파수 영역에서의 특징 비교 (Comparison of HRV Time and Frequency Domain Features for Myocardial Ischemia Detection)

  • 전설위;장진흥;이상홍;임준식
    • 한국콘텐츠학회논문지
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    • 제11권3호
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    • pp.271-280
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    • 2011
  • 심박 변이도 (HRV) 분석은 심근허혈 (MI)를 평가하기 위한 편리한 도구이다. HRV에 대한 분석법은 시간 영역과 주파수 영역 분석으로 나눠질 수 있다. 본 논문은 단기간의 HRV 분석에 있어서 웨이블릿 변환을 주파수 영역 분석과 시간 영역 분석 비교하기 위하여 사용하였다. ST-T와 정상 에피소드는 각각 European ST-T 데이터베이스와 MIT-BIH Normal Sinus Rhythm 데이터베이스에서 각각 수집되었다. 한 에피소드는 32개 연속하는 RR 간격으로 나눠질 수 있다. 18개 HRV 특징은 시간과 주파수 영역 분석을 통하여 추출된다. 가종 퍼지소속함수 신경망 (NEWFM)은 추출된 18개의 특징을 이용하여 심근허혈을 진단하였다. 결과는 보여주는 평균 정확도로부터 시간영역과 주파수영역의 특징은 각각 75.29%와 80.93%이다.

인지능력 저하노인에 대한 HRV 측정기법에 관한 연구 (A Study on measurement Technique of HRV for elder with reduced cognitive abilities)

  • 김완규
    • 한국전자통신학회논문지
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    • 제10권1호
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    • pp.125-132
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    • 2015
  • 본 논문은 인지능력이 저하된 노인들에게 침과 뜸 요법을 시행하고 HRV 측정값을 통하여 그 효과를 분석한다. 인지능력이 저하되거나 상실된 사람들에게 자주 사용되었던 주요한 경혈을 고문헌에서 조사하였다. 인지능력이 저하된 노인들에게 침과 뜸을 시술한 후 HRV 측정기를 이용하여 여러 가지 변화를 측정하였다. 측정된 값들을 상호 비교하여 자율신경계와 심박동수의 변화에 침과 뜸이 어떤 영향을 주는지 효능을 측정하였다. 연구 결과 침과 뜸이 인지능력의 개선에 긍정적이 효과가 있다는 것을 HRV 분석을 통해 확인할 수 있었다.

PPG 측정신호로부터의 심박 검출 성능 향상에 관한 연구 (A Study on the Performance Improvement of the HRV Detection from PPG Signals)

  • 최규식;최동혁;장윤승;양계탁
    • 한국항행학회논문지
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    • 제13권6호
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    • pp.926-932
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    • 2009
  • 건강에 관한 헬스케어기구 중에서 전신아마기의 보급이 급속도로 증가되고 있다. 현대인의 스트레스를 해소하기 위해 사용하는 이러한 전신안마기 사용시 PPG를 이용하여 HRV 신호를 측정하여 스트레스의 이완 정도를 판단하는 것이 중요하다. 그런데 이 경우 안마기에 의해서 피실험자가 움직이는 상태에서 측정이 이루어지므로 HRV의 측정신호에 동잡음이 개입된다. 본 논문에서는 이러한 복합신호에서 신호처리에 의해서 동잡음을 효과적으로 제거하여 원하는 HRV를 측정하여 분석하는 방법을 제시한다.

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Anti-Human Rhinovirus 1B Activity of Dexamethasone via GCR-Dependent Autophagy Activation

  • Lee, Jae-Sug;Kim, Seong-Ryeol;Song, Jae-Hyoung;Lee, Yong-Pyo;Ko, Hyun-Jeong
    • Osong Public Health and Research Perspectives
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    • 제9권6호
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    • pp.334-339
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    • 2018
  • Objectives: Human rhinoviruses (HRVs) are the major cause of the common cold. Currently there is no registered, clinically effective, antiviral chemotherapeutic agent to treat diseases caused by HRVs. In this study, the antiviral activity of dexamethasone (DEX) against HRV1B was examined. Methods: The anti-HRV1B activity of DEX was assessed by sulforhodamine B assay in HeLa cells, and by RT-PCR in the lungs of HRV1B-infected mice. Histological evaluation of HRV1B-infected lungs was performed and a histological score was given. Anti-HRV1B activity of DEX via the glucocorticoid receptor (GCR)-dependent autophagy activation was assessed by blocking with chloroquine diphosphate salt or bafilomycin A1 treatment. Results: In HRV1B-infected HeLa cells, treatment with DEX in a dose-dependent manner, resulted in a cell viability of > 70% indicating that HRV1B viral replication was reduced by DEX treatment. HRV1B infected mice treated with DEX, had evidence of reduced inflammation and a moderate histological score. DEX treatment showed antiviral activity against HRV1B via GCR-dependent autophagy activation. Conclusion: This study demonstrated that DEX treatment showed anti-HRV1B activity via GCR-dependent autophagy activation in HeLa cells and HRV1B infected mice. Further investigation assessing the development of topical formulations may enable the development of improved DEX effectiveness.

측정 자세에 따른 HRV변화 (The effect of posture on HRV)

  • 양동인;심영우;노형욱;김덕원
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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    • pp.399-401
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    • 2009
  • The purpose of this study is looking for deviation of change in HRV caused of posture. Total 20 adults were measured for 40 minutes(10 minutes rest section and 30 minutes analysis section) when volunteers were sitting and lying down. Other factors which can change in HRV were controlled during measurement. The analysis section were divided by total 6 stages(each by 5 minutes), and compared and analyzed between sitting and lying down groups. It was also compared and analyzed stages in each group. In the result, there was difference at stage 5($20{\sim}25$ minutes interval), but no difference in the total data. The results of each stage in the group, lying down had difference. Therefore, sitting is more stable measurement for HRV study when subjects was waking over 15 minutes.

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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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    • 제3권4호
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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).

일부 월경통(月經通) 환자의 스트레스 반응 척도와 심박변이도상의 특징 고찰 (Analysis on the Stress Response Inventory and Heart Rate Variability of Dysmenorrhoea Patients)

  • 이지영;이진무;이창훈;조정훈;장준복;이경섭
    • 대한한방부인과학회지
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    • 제21권1호
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    • pp.216-230
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    • 2008
  • Purpose: The purpose of this study is to analysis on the Stress Response Inventory(SRI) and Heart Rate Variability (HRV) of some dysmenorrhoea patients. Methods: We studied 34 patients visiting OO Medical Center from May 2007 to November 2007. And the severity of dysmenorrhoea were measured by Multidimensional Verbal Rating scale(MVRS), Verbal Rating scale (VRS) and Visual Analog Scale(VAS). And SRI and HRV were recorded. Results: According to comparison of Means of HRV values among the groups, most of them were not statistically significant. But the comparison of Means of SRI, the points of almost all values were kept by order of Severe-Moderate-Mild-None group. Most of them are statistically significant. According to correlation analysis between dysmenorrhoea scale and HRV, most of them were not statistically significant. But the correlation analysis between HRV and SRI, there were some correlations. And the correlation analysis between SRI and dysmenorrhoea scale, most of them were statistically significant. According to General Linear Model of Dysmenorrhoea $scale^{\ast}SRI$ and HRV. Dysmenorrhoea scale and SRI influenced values of HRV. But it is hard to conclude the relationship between Dysmenorrhoea $scale^{\ast}SRI$ and HRV Conclusion: The results suggest that stress is related to dysmenorrhoea. But the relation between dysmenorrhoea and HRV was hard to conclude. We need more study for settling the relation between dysmenorrhoea and HRV.

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대사증후군 집단의 심박동수 변이의 특징 (Characteristics of Heart Rate Variability Among Adults with Metabolic Syndrome)

  • 여도환;김정일;강동묵;김정연;조정진;김원;임성견;우종민
    • 생물정신의학
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    • 제15권3호
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    • pp.186-193
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    • 2008
  • Objectives : The authors tried to investigate the characteristics of Heart Rate Variability(HRV) among the subjects with metabolic syndrome for testing the possibility of clinical application of HRV in evaluating metabolic syndrome. Methods : We examined the difference of the means of HRV between 122 subjects of metabolic syndrome and 1057 healthy controls using T-test, and the change of means in HRV according to increasing risk factors of metabolic syndrome. Using multiple regression analysis, we examined the association of HRV with the risk factors of metabolic syndrome. Results : The HRV indices including SDNN(Standard Deviation of all normal NN intervals), RMSSD(the square Root of the Mean Squared Differences of successive all normal NN interval), TP(Total Power), LF(Low Freuency), and HF(High Frequency) were significantly lower in the metabolic syndrome group than in the normal control group, and the means of all HRV indices except LF/HF were decreased consistently according to increasing risk factors of metabolic syndrome. The fasting glucose, triglyceride, and waist circumference were dependent factors that contributed significantly to the change of HRV. Conclusion : These findings suggest metabolic syndrome adversely affects cardiac autonomic system and HRV could be a useful method for evaluating metabolic syndrome.

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웨이브렛 변환을 이용한 수면상태의 HRV 분석에 관한 연구 (Study on HRV Analysis in Sleep Stage Using Wavelet Transform)

  • 최혜진;정기삼;이병채;김용규;안인석;주관식
    • 한국의학물리학회지:의학물리
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    • 제10권3호
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    • pp.141-149
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    • 1999
  • 본 연구에서는 수면상태에서의 자율신경 활동을 관찰하기 위하여 웨이브렛 변환을 이용하여 HRV 신호를 분석하였다. 심전도 신호로부터 HRV 신호를 재구성하고 웨이브렛 변환을 통하여 얻은 계수를 이용하여 신호를 주파수 대역별 분석하였다. 분석된 결과를 AR 모델 기법을 이용한 기존의 주파 수 분석 방법과 비교하였다. 본 논문에서 제안한 웨이브렛 계수에 의한 전력스펙트럼 성분은 기존의 FFT나 AR모델 방법에 의한 결과와 동일한 경향을 나타내고 있었다. 따라서, 웨이브렛 계수에 의한 전력스펙트럼 분석방법은 HRV 신호를 이용한 자율신경계 활동 분석의 도구로 유용함을 알 수 있었다. 피검자가 일단 수면상태로 빠져들면, 심혈관계 역시 빠른 속도로 반응하여 수면에 적절한 활동을 수행하게 된다. 이러한 적응 활동은 심혈관 기관에 따라 차이는 있지만 대부분 수초내에 일어나게 된다. 본 논문에서 제안한 웨이브렛에 의한 분석 기법은 기존의 방법으로는 불가능했던 시간대별 변화 추이를 잘 표현할 수 있으므로 HRV 신호의 분석뿐만 아니라 다른 생체 신호의 분석에도 유용 할 것으로 예상된다.

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