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Correlation between BIS and layered behavior of heart rate in children under general anesthesia
염명걸 대한마취통증의학회 2008 Anesthesia and pain medicine Vol.3 No.4
Background: The bispectral index (BIS) is based on changes in the electroencephalogram, and is commonly used to monitor depth of anesthesia. The central nervous system (CNS) controls heart rate variability (HRV). The purpose of this study was to examine the relationship between heart rate variability and changes in BIS. Methods: We recruited 33 patients, aged 2−12 years. On arrival at the operating room, electrocardiograph (ECG), SpO2, noninvasive blood pressure, and BIS were monitored. After induction and intubation, patients were ventilated with sevoflurane in 35% oxygen in air. At a tidal volume of 7 ml/kg, the respiratory rate was adjusted to maintain an end-tidal CO2 of 35−40 mmHg. Inspired and expired end-tidal sevoflurane concentrations were held constant at 1.0 or 2.5 vol% for more than 10 minutes, after which ECG and BIS data were obtained for 15 minutes. Low-frequency power (LFP), highfrequency power (HFP), approximate entropy (ApEn), maximum layered behavior indices (MaxLI), and mean layered behavior indices (MeanLI) were calculated from the ECG. The relationship between mean BIS and variability indices at the two sevoflurane concentrations was measured by Pearson’s correlation coefficient. Results: MaxLI and MeanLI were positively correlated to BIS; whereas LFP, HFP, and ApEn were not. Conclusions: BIS and ECG indices are correlated during sevoflurane anesthesia in children, and thus ECG-derived indices could be used to monitor depth of anesthesia.
한 자동차공장의 1주연속 12시간주야맞교대근무 노동자들의 심박동수변이
성주헌,염명걸,공정옥,이혜은,김인아,김정연,손미아,Sung, Ju-Hon,Yum, Myung-Gul,Kong, Jung-Ok,Lee, Hye-Un,Kim, In-A,Kim, Jung-Yeon,Son, Mi-A 대한예방의학회 2004 예방의학회지 Vol.37 No.2
Objectives : The objective of this study is to compare the circadian patterns of heart rate variability assessed by 24-hour ambulatory electrocardiographic (ECG) recordings during day shift and night shift among the workers in the 5 days-concecutive-12-hour shift in an automobile factory in Korea. Methods : The study population consisted 300 workers, who were randomly selected among the 8700 total workers in one car factory. To analyse circadian variation, the 24-hour ECG recordings (Marquette) were measured during day shift (08:00-20:00 h) and night shift (20:00-08:00 h). Analysis was performed for all time and frequency domain measures of HRV. 233 workers completed taking 24-hour ECG recordings. Results : This study shows that the 24 hourcircadian variation mainly follows work/sleep cycle rather than day/night cycle among shift workers. This study also shows that among the night shift, the circadian variation between work and sleep cycle decreased compared to the work/sleep cycle among day shift workers. All time and frequency domain parameters (except LF/HF ratio) show significantly different between work and sleep in the day shift and night shift. Conclusion : These changes in heart rate variability circadian rhythms reflect significant reductions in cardiac parasympathetic activity with the most marked reduction in normal vagal activity among the shift workers. Especially, it suggests the circadian rhytm has blunted among the night workers. The quantification of the circadian variation in HRV can be a surrogates of workers' potential health risk, as well as suggests possible mechanisms through which the shift works compromise workers' health.
이홍기,염명걸,김수찬 대한혈관외과학회 1999 Vascular Specialist International Vol.15 No.1
Background: There are two methods to understand a periodic signal. One is describing it in the time domain, and the other is in the frequency domain. Various methods have been described for analysis of Doppler signals in terms of velocities and they need to be further characterized. Frequency domain analysis involves conventional Fourier transformation and analysis by modeling. In 1980' s, Skidmore et al. applied Laplace transformation analysis to the femoral and ankle Doppler waveforms and described the waveforms in terms of damping, stiffness and distal impedance. However, few subsequent studies have been reported by other authors. Further, an appealing feature of frequency function analysis is that it can be used for modeling of the resistive and/or storage property of the circuit. Purpose: The purpose of study is to analyze the Doppler waveforms of lower extremity in frequency domain and compare the results with the currently known parameters of pusatility in the time domain. Methods: This study includes 119 Doppler waveforms from 7 non-symptomatic limbs and from 18 limbs with symptoms of chronic low extremity ischemia. Each five representative beats of Doppler waveforms were curve-fitted by third-order AR (auto-regressive) model and z-transformed resulting in three representative roots in the z-plane. Maximum velocity (Max), minimum velocity (Min), maximum excursion of the waveform (Max-Min; MaxE), mean velocity (Avg), pulsatility index (PI) and resistive index (RI) were calculated and compared with the values of the roots. Results: Mostly, the poles of the transfer function were two imaginary and one real poles. Severely diseased waveforms had all three poles in real axis or the imaginary poles approached toward the realaxis. The average value of the three poles (Rmean) was 0.5096 (±0.0967 S.D.) (range: 0.2193 ∼0.7197). The real value of the first pole (R1real) was 0.8957 (±0.067 S.D.) (range: 0.5964 ∼0.97). The absolute value of imaginary value of the first pole (R1imag) was 0.0998 (±0.0713 S.D.) (range: 0 ∼0.2336). Significant correlation was observed between 1) Rmean and MaxE (r=0.769), Max (r=0.7498), Avg(r=0.3106), RI (r=0.4378), 2) R1real and MaxE (r=0.5382), Max (r=0.4732), RI (r=0.3629), and 3) R1imag and MaxE (r=0.4785), Max (r=0.3333), Min (r= 0.3703), RI (r=0.5611). Conclusion: The position of roots of third-order transfer function of Doppler waveforms seems to correlate with the known parameters of velocity. In addition to these parameters of velocity, transfer function analysis appears to be a useful tool to evaluate the Doppler waveforms. Further studies are needed in relation to clinical manifestation.$quot;