15세 미만 아동을 대상으로 한 집중상태에서 EEG 신호와 HRV의 상관관계 분석
An analysis of correlation between EEG signal and HRV during attentional status with children under 15 years
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본 연구에서는 집중력 시에 통상적인 방법으로 사용되는 EEG 선호의 theta/alpha 값과 심박변이도(HRV) 변수들의 상관관계를 분석하기 위함이다. 각 주파수 대역에 따른 EEG 선호의 파행과 자율신경계 변화를 연구한 논문들을 바탕으로, 본 연구에서는 집중상태에 따른 theta파의 변화와 alpha파의 신호를 분석하여 theta/alpha 값으로 중추신경계 변화를 평가하였다. 또한 자율신경계에서 생리학적 변화는 HRV 변수들(beat interval, SDNN, RMSSD, NN50, LF, HF, LF/HF)로 평가/해석하였다. 실험방법은 신경 인지 검사 프로그램인 CNT 4.0을 이용하여 21 명의 건강한 피험자들의 청각 집중력 테스트를 수행하였고, EEG 신호와 PPG 신호를 분석하였다. EEG로부터 추출한 theta/alpha값과 PPG로부터 추출한 HRV변수들은 중다회귀분석을 이용하여 각각의 조합에 따른 두 지표간의 상관관계를 평가하였다. theta/alpha와 심혈관계의 변수들의 상호연관성은 {SDNN(2), HF(6)} 변수가 포함된 3차원 이상의 조합에서 상대적으로 유효하게 나타났다. 결과적으로 고차원 HRV 변수 조합이 저차원 조합보다 theta/alpha 와 상대적으로 높은 상관관계(R^2=0.253; 7차원)를 나타내었고, 통계적 유의성(p<0.05)을 만족하였다
Abstract
This paper illustrates the inter-relationship between the theta/alpha ratio of the EEG signal and multiple HRV related parameters associated with the cardiovascular system response during event-related stimuli. Both EEG and PPG signals were simultaneously recorded in 21 healthy subjects. All subjects had their attention focused on the CNT program for nine minutes. Time-frequency analysis was applied to the EEG and PPG signals. The theta/alpha ratio was extracted from the EEG results, and the HRV features, including beat interval(1), SDNN(2), RMSSD(3),NN50(4), LF(5), HF(6), and LF/HF(7), were extracted from the PPG. Through multiple linear regression, the relationship (R^2) between the multiple combined features and the theta/alpha rhythm was identified. As a result, the combinations of R^2(R^2=0.253; seven dimensions) and the theta/alpha ratio indicated a higher inter-relationship value than those of other combinations. The combinations of features that were greater than three dimensions, based on {SDNN(2), HF(6)}, generally showed higher R^2 value. We demonstrate that the high dimensional combinations had a higher correlation than did the low dimensional combinations.
참고문헌 (23)
- 구본훈, "ADHD 진단을 위한 전산화 신경인지 기능검사의 유용성", 생물치료정신의학, 12(1), pp.39~49 (2006), 대한생물치료정신의학회
- 심제명, "전산화 신경인지기능 프로그램(COMCOG, CNT)을 이용한 뇌졸중 환자의 기억력과 주의력 증진효과", 대한물리치료학회지, 19(4), pp.25~32 (2007), 대한물리치료학회
- 이재신, "색안경이 아동의 주의집중력에 미치는 영향에 관한 연구", 대한작업치료학회지, 17(2), pp.91~104 (2009), 대한작업치료학회
- Anatoly, B, "The variability of the photo- plethysmographic signal - a potential method for the evaluation of the autonomic nervous system", Physiological Measurement, 19(1), pp.93~102 (1998)
- Dennis, T.A, "Neurophysiological for child emotion regulation from the perspective of emotion-cognition integration: current directions and future challenges", Developmental Neuropsychology, 35(2), pp.212~230 (2010)
- Galbraith, G. C, "Individual differences in autonomic activity affects brainstem auditory frequency-following response amplitude in humans", Neuroscience Letters, 283(3), pp.201~4 (2001)
- Goldberger, A. L, "Non-linear dynamics for clinicians: chaos theory, fractals, and complexity at the bedside", Lancet, 347(9011), pp.1312~1314 (1996)
- Golocheikine, S. A, "Human anterior and frontal midline theta and lower alpha reflect emotionally positive state and internalized attention: high-resolution EEG investigation of meditation", Neuroscience Letters, 310(1), pp.57~60 (2001)
- Gyurak, A, "Resting respiratory sinus arrhythmia buffers against rejection sensitivity via emotion control", Emotion, 8(4), pp.458~467 (2008)
- Hagemann, D, "Central and autonomic nervous system integration in emotion", Brain and cognition, 52(1), pp.79~87 (2003)
- Jinsung, K, "The Validity and Reliability of Computerized Neurocognitive Function Test in the Elementary School Child", Korean Psychosomatic Society, 11(2), pp.97~117 (2003)
- Klimesch,W, "EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis", Brain Research Reviews, 29(2), pp.169~195 (1999)
- Kubota, Y, "Frontal midline theta rhythm is correlated with cardiac autonomic activities during the performance of an attention demanding meditation procedure", Cognitive Brain Research, 11(2), pp.281~287 (2001)
- Lynda, T, "Neurofeedback Intervention for Adults with ADHD", Journal of Adult Development, 12(2), pp.123~130 (2005)
- Malik, M, "Heart rate variability : Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology", Circulation, (93), pp.1043~1065 (1996)
- Miskovic,V, "Frontal brain electrical asymmetry and cardiac vagal tone predict biased attention to social threat", International Jounal of Psychophysiology, 75(3), pp.332~338 (2010)
- Miyake, S, "Physiological responses to workload change. A test or retest examination", Applied Ergonomics, 40(6), pp.987~996 (2009)
- Nitzanyx, M, "The variability of the photoplethysmographic signal - a potential method for the evaluation of the autonomic nervous system", Physiological Measurement, 19(1), pp.93~102 (1998)
- Peter, E. H, "Pattern Classification, 2nd edition ed" (1996), Wiley-Interscience
- Ristimae, T, "Heart rate dynamics in patients with stable angina pectoris and utility of fractal and complexity measures", The American Jounal of Cardiology, 81(1), pp.27~31 (1998)
- Sauseng, P, "Fronto-parietal EEG coherence in theta and upper alpha reflect central executive function", International Journal of Psychophysiology, 57(2), pp.97~103 (2005)
- Stam,C, "Brain dynamics in theta and alpha frequency bands and working memory performance in humans", Neuroscience Letters, 286(2), pp.115~118 (2000)
- Yu, X, "Relationship between scalp potential and autonomic nervous activity during a mental arithmetic task", Autonomic Neuroscience: Basic and Clinical, 146(1), pp.81~86 (2009)