Deriving heart rate variability indices from cardiac monitoring—An indicator of driver sleepiness

Objective: Driver fatigue is considered to be a major contributor to road traffic crashes. Cardiac monitoring and heart rate variability (HRV) analysis is a candidate method for early and accurate detection of driver sleepiness. This study has 2 objectives: to evaluate the (1) suitability of different preprocessing strategies for detecting and removing outlier heartbeats and spectral transformation of HRV signals and their impact of driver sleepiness assessment and (2) relation between common HRV indices and subjective sleepiness reported by a large number of drivers in real driving situations, for the first time.

Methods: The study analyzed >3,500 5-min driving epochs from 76 drivers on a public motorway in Sweden. The electrocardiograph (ECG) data were recorded in 3 studies designed to evaluate the physiological differences between awake and sleepy drivers. The drivers reported their perceived level of sleepiness according to the Karolinska Sleepiness Scale (KSS) every 5?min. Two standard methods were used for identifying outlier heartbeats: (1) percentage change (PC), where outliers were defined as interbeat intervals deviating >30% from the mean of the four previous intervals and (2) standard deviation (SD), where outliers were defined as interbeat interval deviating >4 SD from the mean interval duration in the current epoch. Three standard methods were used for spectral transformation, which is needed for deriving HRV indices in the frequency domain: (1) Fourier transform; (2) autoregressive model; and (3) Lomb-Scargle periodogram. Different preprocessing strategies were compared regarding their impact on derivation of common HRV indices and their relation to KSS data distribution, using box plots and statistical tests such as analysis of variance (ANOVA) and Student’s t test.

Results: The ability of HRV indices to discriminate between alert and sleepy drivers does not differ significantly depending on which outlier detection and spectral transformation methods are used. As expected, with increasing sleepiness, the heart rate decreased, whereas heart rate variability overall increased. Furthermore, HRV parameters representing the parasympathetic branch of the autonomous nervous system increased. An unexpected finding was that parameters representing the sympathetic branch of the autonomous nervous system also increased with increasing KSS level. We hypothesize that this increment was due to stress induced by trying to avoid an incident, because the drivers were in real driving situations.

Conclusions: The association of HRV indices to KSS did not depend on the preprocessing strategy. No preprocessing method showed superiority for HRV association to driver sleepiness. This was also true for combinations of methods for frequency domain HRV indices. The results prove clear relationships between HRV indices and perceived sleepiness. Thus, HRV analysis shows promise for driver sleepiness detection.     

露天矿山隐伏盲空区精确探测及爆破优化设计

隐伏盲空区是严重威胁露天矿山正常采矿作业的安全隐患,应予以探明并处置。针对露天矿隐伏盲空区探测难度大、崩落处置爆破设计精度差等问题,以白马铁矿1号溜井盲空区为例,首先基于矿山历史资料,利用钻探手段,初步圈定盲空区异常分布范围;然后运用钻孔激光扫描设备进行三维精确扫描,获得盲空区塌腔三维形态和真实边界,并以实测数据为基础,利用逆向建模方法,构建盲空区三维可视化模型;最后根据盲空区的三维空间特征和分布条件,进行爆破分区及参数优化设计。结果表明:采用钻探圈定结合三维激光精确扫描建模的综合探测方法,可获得露天矿山盲空区的可靠信息,准确掌握盲空区垮塌现状,进而为制定更为精准的爆破设计方案提供重要依据,最终达到消除盲空区的目的。研究结果对保障矿山安全生产具有重要意义,同时可为类似工程提供有益参考。     

Hough变换在PCB在线检测系统的应用

在印刷电路板(PCB)视觉检测系统中,图象边缘提取的质量和对瑕疵图象边缘的快速而准确的识别是达到实时检测的关键因素,Hough变换是一种应用非常广泛的图像边缘检测技术,运用快速的Hough变换方法,来完成PCB检测的圆心定位和半径测定,并通过针时PCB在线检测的具体应用情况加以改进并应用,实验分析表明,该算法在PCB在线检测的可行性和优越性.图5,参5.     

Estimating percentiles from composite environmental samples when all observations are nondetectable

Many environmental sampling problems involve some specified regulatory or contractual limit (RL). Often the interest is in estimating the percentile of the underlying contaminant concentration distribution corresponding to RL. The focus of this paper is on obtaining a point estimate and a lower confidence limit for that percentile when all observations are nondetectable, with the ith observation known to be less than some detection limit DLI, where DLi RL. Since composite samples are being considered, it is not unreasonable to assume an underlying normal distribution.     

水污染源特性查定程序

本文对水污染湖源特性查定的程序以及查定中遇到的技术问题和解决办法进行了论述，为污染源查定工作科学化，规范化进行了有益探索。     

兰格缪尔等温式的适用性分析——以黄土吸持铜离子为例

在不同土壤浓度条件下进行了黄土对铜离子的等温吸持实验（包括吸附与沉淀）。利用兰格缪尔（Langmuir）等温式对实验结果进行拟合时发现：黄土对铜离子的吸持结果在形式上仍可用传统的Langmuir等温式来描述，但式中的相关参数已经不再具有原来的物理意义。本文分析了Langmuir等温式在黄土对铜离子吸持时的适用性，指出其参数变化与铜离子的吸附关系不大，而与沉淀密切相关。     

Cluster detection using Bayes factors from overparameterized cluster models

In this paper, we consider the use of a partition model to estimate regional disease rates and to detect spatial clusters. Formal inference regarding the number of partitions (or clusters) can be obtained with a reversible jump Markov chain Monte Carlo algorithm. As an alternative, we consider the ability of models with a fixed, but overly large, number of partitions to estimate regional disease rates and to provide informal inferences about the number and locations of clusters using local Bayes factors. We illustrate and compare these two approaches using data on leukemia incidence in upstate New York and data on breast cancer incidence in Wisconsin.     

煤矿自燃火灾治理关键技术的研究与应用

介绍了使用同位素测氡法探测煤矿自燃火源位置的原理及应用效果。实践证明,该方法是解决煤矿自燃火灾治理难题的关键技术,由于投资少,精度高,软件处理直观可靠,它有重要推广价值     

雷管空中爆炸压力分布的理论计算

在对８＃ 雷管装药进行简化处理的基础上,其空中爆炸一定范围内的压力场分布可通过理论计算求得。近场参数可用自相似方法求解,而非近场参数又可用ＭａｃＣｏｒｍ ａｃｋ 两步格式对偏微分方程进行数值求解。将获得的压力场与实测结果进行比较,两者基本一致     

Window Sensitivity Functions for Line Transect Sampling

L and width 2w, then by a selection of viewing window is meant a choice of w, with the intent being to search for optimal viewing windows, with the goal in mind of improving variances of estimators of population density, reducing sampling effort, while maintaining the property of unbiasedness. The notions of increasing window sensitivity (IWS) and decreasing window sensitivity (DWS) are introduced, and a method of deriving confidence intervals is discussed.