• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 추계학술대회
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• pp.368-371
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• 1996

Background: Recently, measure of heart rate variability and the nonlinear "complexity" of heart rate dynamics have been used as indicators of cardiovascular health. Several investigators have demonstrated that heart rate variability decreased in aging, congestive heart failure and coronary heart disease. Because hypertensive patients showed alternation of cardiovascular homeostasis, we designed this study to evaluate the effect of anesthesia in hypertensive patients with approximate entropy (ApEn). Methods: With informed consent, eighteen normotensive patients and eighteen hypertensive patients were given no premedication. ECG data were collected from 10 minutes before induction to 15 minutes after induction. Collected ECG data were stored into computer binary files. We calculated ApEn from the collected ECG data. Results: Before induction, ApEn of hypertensive patients was significantly lower than normotensive patients(p<0.05). During induction and maintain of anesthesia, there was no difference of ApEn between two groups. During induction and maintain of anesthesia, in normotensive group, ApEn was significantly lower than that of preinduction(p<0.05). And ApEn during maintain of anesthesia was lower than that of induction(p<0.05). During maintain of anesthesia, in hypertensive group, ApEn was significantly lower than that of preinduction(p<0.05). Conclusions: Before induction, ApTn of hypertensive patients is significantly lower than normotensive patients. As anesthesia was deepened, ApEn of two groups were decreased. Because the baroreflex of hypertensive patients is already decreased, decreasing of ApEn of hypertensive patients during anesthesia is less than that of normotnesive patients.

• 한국운동역학회지
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• 제29권2호
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• pp.113-119
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• 2019

Objective: The purpose of this study was to investigate the effect of the falls on the center of pressure (CoP) complexity during gait using non-linear approximate entropy (ApEn). Method: 20 elderly women with experience of falling ($age=72.55{\pm}5.42yrs$; $height=154.40{\pm}4.26cm$; $body\;weight=57.40{\pm}6.21kg$; $preferred\;gait\;speed=0.52{\pm}0.17m/s$) and 20 elderly women with no experience of falling ($age=71.90{\pm}2.90yrs$; $height=155.28{\pm}4.73cm$; $body\;weight=56.70{\pm}5.241kg$; $preferred\;gait\;speed=0.56{\pm}0.13m/s$) were recruited for the study. While they were walking at their preferred gait speed on a treadmill (instrumented dual belt treadmills, Bertec, USA) with a force plate CoP data were collected for the 20 strides. The complexity of the CoP was analyzed using the ApEn technique. Results: The ApEn of the medial-lateral CoP in the fallers showed smaller about 16% compared to the non-fallers (p<.05). The ApEn of the antero-posterior CoP of the fallers showed smaller about 12% compared to the non-fallers, but the difference was not statistically significant. Conclusion: Based on the results of this study, the reduction of the medio-lateral CoP complexity in the elderly gait would be an index to determine the potential fall.

• Journal of Advanced Marine Engineering and Technology
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• 제40권5호
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• pp.437-446
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• 2016

Feature selection has become an essential technique to reduce the dimensionality of data sets. Many features are frequently irrelevant or redundant for the classification tasks. The purpose of feature selection is to select relevant features and remove irrelevant and redundant features. Applications of the feature selection range from text processing, face recognition, bioinformatics, speaker verification, and medical diagnosis to financial domains. In this study, we focus on filter methods based on information entropy : IG (Information Gain), FCBF (Fast Correlation Based Filter), and mRMR (minimum Redundancy Maximum Relevance). FCBF has the advantage of reducing computational burden by eliminating the redundant features that satisfy the condition of approximate Markov blanket. However, FCBF considers only the relevance between the feature and the class in order to select the best features, thus failing to take into consideration the interaction between features. In this paper, we propose an improved FCBF to overcome this shortcoming. We also perform a comparative study to evaluate the performance of the proposed method.

• Journal of Communications and Networks
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• 제14권1호
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• pp.1-9
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• 2012

We consider a receiving node, located at the origin, and a Poisson point process (PPP) that models the locations of the desired transmitter as well as the interferers. Interference is known to be non-Gaussian in this scenario. The capacity bounds for additive non-Gaussian channels depend not only on the power of interference (i.e., up to second order statistics) but also on its entropy power which is influenced by higher order statistics as well. Therefore, a complete statistical characterization of interference is required to obtain the capacity bounds. While the statistics of sum of signal and interference is known in closed form, the statistics of interference highly depends on the location of the desired transmitter. In this paper, we show that there is a tradeoff between entropy power of interference on the one hand and signal and interference power on the other hand which have conflicting effects on the channel capacity. We obtain closed form results for the cumulants of the interference, when the desired transmitter node is an arbitrary neighbor of the receiver. We show that to find the cumulants, joint statistics of distances in the PPP will be required which we obtain in closed form. Using the cumulants, we approximate the interference entropy power and obtain bounds on the capacity of the channel between an arbitrary transmitter and the receiver. Our results provide insight and shed light on the capacity of links in a Poisson network. In particular, we show that, in a Poisson network, the closest hop is not necessarily the highest capacity link.

• Journal of the Korean Data and Information Science Society
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• 제28권5호
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• pp.1205-1215
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• 2017

In this paper, we aim to estimate two scale-parameters of exponentiated Pareto distribution (EPD) based on lower record values. Record values arise naturally in many real life applications involving data relating to weather, sport, economics and life testing studies. We calculate the Bayesian estimators for the two parameters of EPD based on lower record values. The Bayes estimators of two parameters for the EPD with lower record values under the squared error loss (SEL), linex loss (LL) and entropy loss (EL) functions are provided. Lindley's approximate method is used to compute these estimators. We compare the Bayesian estimators in the sense of the bias and root mean squared estimates (RMSE).

• Communications for Statistical Applications and Methods
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• 제27권1호
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• pp.47-64
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• 2020

In this paper, we derive some estimators of the scale parameter of the exponentiated half-logistic distribution based on the multiply Type-I hybrid censoring scheme. We assume that the shape parameter λ is known. We obtain the maximum likelihood estimator of the scale parameter σ. The scale parameter is estimated by approximating the given likelihood function using two different Taylor series expansions since the likelihood equation is not explicitly solved. We also obtain Bayes estimators using prior distribution. To obtain the Bayes estimators, we use the squared error loss function and general entropy loss function (shape parameter q = -0.5, 1.0). We also derive interval estimation such as the asymptotic confidence interval, the credible interval, and the highest posterior density interval. Finally, we compare the proposed estimators in the sense of the mean squared error through Monte Carlo simulation. The average length of 95% intervals and the corresponding coverage probability are also obtained.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1998년도 추계학술대회
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• pp.195-196
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• 1998

Nonlinear energy operator(NEO) is usually used to estimate energy content of linear oscillator. We applied the modified nonlinear energy operator (MNEO) to detect R-peak of ECG and analyzed variation of R-R interval during sleep with nonlinear methods, piecewise correlation dimension and approximate entropy (ApEn) which estimate complexity of time series. ApEn applied to R-R interval reveals trends as sleep state changes.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1998년도 추계학술대회
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• pp.197-198
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• 1998

We tested the capability of Pointwise Correlation Dimension(PD2), Approximate Entropy (ApEn) and LZ complexity, as alternative measures of a biological signal. For this purpose, we analyzed standard data and a healthy child's 24-hour heart rate variability. Our conclusion is as follows. First, PD2, ApEn and LZ complexity can be used for discerning chaotic attractor, white noise, and periodic signal. Second, these measures show different characteristics on day and night. Third, these measures can be used for detecting time-varying characteristics of biological signals.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1995년도 춘계학술대회
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• pp.281-284
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• 1995

This paper describes a complexity measure algorithm based on nonlinear dynamics(chaos theory). In order to quantify complexity or regularity of biomedical signal, this paper proposed fractal dimension-1 and fractal dimension-2 algorithm with digital filter. Approximate entropy algorithm which measure a system regularity are also compared. In this paper investigate what we quantify of biomedical signal. These quantified complexity measure may be a useful information about human physiology.

• 대한의용생체공학회:의공학회지
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• 제24권1호
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• pp.1-8
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• 2003

장시간 운전을 하는 동안 운전자는 외부상황을 계속해서 주시하고 경계하게 하므로 운전자에게는 정신적 부하로 작용하게 되며 이로 인해 발생하는 운전피로는 자동차 사고의 원인이 될 수 있다. 본 연구에서는 심박변동신호를 분석하여 운전시간의 증가에 따른 발생하는 운전피로도를 알아보았다. 심박변동신호의 분석방법에는 이전 연구들에서 널리 사용되어져 왔던 선형분석방법들과 함께 ApEn, Poincare Plot등을 이용한 비선형 분석방법들을 이용하였다. 3년 이상의 운전경력을 가진 5명의 실험자가 참가하였으며 모든 실험자는 4대의 승용차를 2번씩 운전하여 총 40회의 실험을 실시하였다. 운전구간은 고속도로 300km구간을 왕복해서 주행하도록 하였으며 약 3시간 정도가 소요되었다. 운전하는 동안 30분 간격으로 심전도 데이터를 측정하였다. 측정된 심전도 신호로부터 유도된 심박변동신호(HRV : heart rate variability)로부터 시간영역 변수, 주파수 영역변수, 비선형 특성 등을 구한다음, 안정 상태의 데이터라 비교하여 통계석 유의성을 살펴보았다. 분석결과 시간영역의 변수인 평균심박동수는 운전시간의 증가에 따라 계속적으로 감소하였으며 심박동율의 표준편차와 연속적인 RR간격의 차이는 90분 이후로는 일정 수준을 유지하였다. 주파수 영역에서 구한 L $F_{norm}$, LF/HF는 운전시간에 따라 증가함을 보였다. 비선형 특성을 알아보기 위해서 ApEn, Poincare plot을 이용하였는데 모두 시간에 따라 감소함을 나타내었다. 대부분의 변수에서 통계적 유의성은 1시간 이후부터 나타남을 볼 수 있었다.