• Proceedings of the KOSOMBE Conference
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• v.1998 no.11
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• pp.137-138
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• 1998

The purpose of this study is to evaluate the HRV(Heart Rate Variability) to visual and auditory stimulation. We analysed psychological effect and HRV of music, light, and music with light. The results show that HRV pattern is significantly related to the psychological effect, and HRV spectrum is useful to extract more information when various stimulation are presented.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1997.11a
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• pp.91-94
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• 1997

Objective of this stuey was to find the corrdlation between emotiona changes and the parameters of HRV spectrum evoked by tactile stimualtion. Twenty-one subjects were useds and five different types of materials, dry cottn, wet cotton, paper, sandpaper, and vinyl were applied to the left hand of each subject as a tactile stimulation. The results showed that HF/LF(ratio of high to low frequency amplitude calculated from power spectrum of HRV) decreased as the subject experienced the unpleasant emotion caused by wet cotton and sandpaper. On the othr hand, when the subject experienced the comfort, HF/LF increased. It was concluded that the proprsed methods can be applied to evaluate the characteristic changes in the autonomic nervous system which regulates the human emotion in the psychological aspects.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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• pp.443-446
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• 1997

HRV(heart rate variability) is the time series data of R-R interval time duration based on ECGs. Power spectral analysis of HRV has recently been used to define the activity of ANS(autonomic nervous system). In this study, 14 rats were divided into two groups, sympathectomy and vagotomy. During the experiments, ECGs of rats were collected three times at each experimental conditions or the duration of 5 minutes, where sampling frequency was set at 2KHz. After the application of the Berger's Serires algorithm to ECG raw data, power spectrum of HRV was obtained via FFT. Results showed that HF/LF were increased or the sympathectomy group and decreased or the vagotomy group. It implies that the variations in HF/LF components could be used or the ANS function classification.

• Progress in Medical Physics
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• v.10 no.3
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• pp.141-149
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• 1999

This research analyzed the HRV signals by using wavelet transform to observe the activities of autonomous nervous system in a sleep state. This research also restructured the HRV signals from electrocardiogram and by using coefficient which was obtained through wavelet transform, analyzed the signals by frequency bandwidth. Then compared the analyzed results with existing frequency analyzing method using AR model techniques. The suggested wavelet coefficient from power spectrum component in the study shows a similar tendency with the results from FFT or AR model technique. Therefore, it can be found that power spectrum analyzing method by wavelet coefficient is a useful as a tool for analyzing autonomous nervous system activities using HRV signals. Since the suggested method able to clearly depict the progression of change in time zone, which was once impossible with the existing methods, it is presumed that it will be useful in other physiological signals.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.04a
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• pp.155-158
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• 1998

본 연구의 목적은 후각 자극에 의한 감성의 변화를 주관적 검사와 동시에 시행한 심전도에서 추출한 HRV parameter와의 상관관계를 보고자 함이다. 후각 자극은 0.6% orange와 2.5% valeric acid를 일정 flow와 일정 농오고 코 점막에 건조를 방지하기 위해 수증기로 포화시킨 향자극기로 주었다. 향의 주관적 검사에서는 오렌지향은 친숙하고 쾌하다고 하였으며 valeric acid경우 불쾌하고 성가시고 친숙하지 않는 감성을 표시하였ㅅ다. 이러한 쾌하고 불쾌한 향자극에 대한 HRV분석결과는 valeric acid에 비해 오렌지향을 제시하였을 때가 HF/LF값이 높은 변화를 보임으로써 부교감신경의 활동이 우세하였음을 확인하였다. 결론적으로 HRV스펙트럼 분석이 감성의 변화를 객관적인 지표로 나타내는데 유용한 정보로서의 가능성을 제시하고자 하였다.

• Proceedings of the ESK Conference
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• 1997.10a
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• pp.473-476
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• 1997

Human visual emotion were investigated by analyzing HRV from ECG signals, which were varied by the visual stimuli. In this paper, twelve university students experienced visual emotion by pictures from IAPS. ECG and subjective rating were obtained for human emotion evaluation. For determination of HRV, ECG was extracted into HF and LF via power spectrum analysis. The results showed that HRV is good for discrimination between positive and negative emotions.

• Science of Emotion and Sensibility
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• v.20 no.3
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• pp.61-70
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• 2017

Physiological responses have been measured to recognize emotion. Although physiological responses have been interrelated between organs, their connectivities have been less considered for emotion recognizing. The connectivities have been assumed to enhance emotion recognition. Specially, autonomic nervous system is physiologically modulated by the interrelated functioning. Therefore, this study has been tried to analyze connectivities between heart and respiration and to find the significantly connected variables for emotion recognition. The eighteen subjects(10 male, age $24.72{\pm}2.47$) participated in the experiment. The participants were asked to listen to predetermined sound stimuli (arousal, relaxation, negative, positive) for evoking emotion. The bio-signals of heart and respiration were measured according to sound stimuli. HRV (heart rate variability) and BRV (breathing rate variability) spectrum were obtained from spectrum analysis of ECG (electrocardiogram) and RSP (respiration). The synchronization of HRV and BRV spectrum was analyzed according to each emotion. Statistical significance of relationship between them was tested by one-way ANOVA. There were significant relation of synchronization between HRV and BRV spectrum (synchronization of HF: F(3, 68) = 3.605, p = 0.018, ${\eta}^2_p=0.1372$, synchronization of LF: F(3, 68) = 5.075, p = 0.003, ${\eta}^2_p=0.1823$). HF difference of synchronization between ECG and RSP has been able to classify arousal from relaxation (p = 0.008, d = 1.4274) and LF's has negative from positive (p = 0.002, d = 1.7377). Therefore, it was confirmed that the heart and respiration to recognize the dimensional emotion by connectivity.

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.991-993
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• 1999

This study proposed a new algorithm to assess autonomic function activity using Time-Frequency Representation(TFR). TFR is a way of describing the time-valiant energy of a signal. A discrete Wigner representation that is capable of filtering out any cross terms occuring in the Wigner-Ville Distribution(WVD) is used for time-variant energy distribution of heart rate variability(HRV) signals. And the marginal condition are evaluated to estimate power spectrum of HRV signals. The proposed algorithm showed that estimated power spectrum of HRV signals well describe the autonomic nerve system function and also showed the dynamics of autonomic nervous system response.

• Science of Emotion and Sensibility
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• v.2 no.2
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• pp.31-36
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• 1999

본 연구의 목적은 후각 자극에 의한 감성의 변화를 주관적 검사와 동시에 시행한 심전도에서 추출한 HRV parameter와의 상관관계를 보고자 함이다. 후각 자극은 0.6% orange와 2.5% valeric acid를 일정 flow와 일정 농도를 코 점막에 건조를 방지하기 위해 수증기로 포화시킨 향자극기로 주었다. 향의 주관적 검사에서 오렌지향은 친숙하고 쾌하다고 하였으며, valeric acid의 경우 불쾌하고 성가시고 친숙하지 않는 감성을 표시하였다. 이러한 쾌하고 불쾌한 향자극에 대한 HRV 분의 활동이 우세하였음을 확인하였다. 결론적으로 HRV 스펙트럼 분석이 감성의 변화를 객관적인 지표로 나타내는데 유용한 정보로서의 가능성을 제시히고자 하였다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.3
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• pp.493-498
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• 2016

Heart Rate Variability (HRV) represents beat-to-beat fluctuations of R-R intervals in Electrocardiogram (ECG). On of the clinical applications of HRV is to assess the mental-stress state by evaluating its power spectral density distribution. This study aims at finding new discriminative role of the coupled-oscillating coupling constants, Cs and Cp in the Integral Pulse Frequency Modulation (IPFM) model. Based on comparing with power spectral density of HRV in terms of the relative ratio of the low and high-frequency power component, we can conclude the fact that the coupling parameters Cs and Cp can replace the role of HRV power spectrum interpretation for judging the mental-stress state.