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.     

滤纸对青蒿丛生芽诱导及遗传转化的影响

研究了滤纸对青蒿丛生芽诱导及遗传转化的影响.结果表明,培养基上加铺一层滤纸能够明显促进青蒿丛生芽的诱导,丛生芽诱导率可达到97%.在高效丛生芽诱导体系的基础上,探讨了滤纸在根癌农杆菌介导的青蒿遗传转化中的应用.优化后的青蒿转化体系,抗性丛生芽诱导率可达到59.7%,其中,12.5%的抗性丛生芽能发育成抗性生根植株,生根植株PCR检测均为阳性.在部分PCR检测阳性植株中检测到了GUS的稳定表达.该优化的转化体系对青蒿素生物合成分子调控的研究具有重要意义.图5表1参26     

从节能角度谈住宅建设的现状与发展趋势

通过对节能住宅与一般住宅的成本比较分析,结合目前国内外能源状况和中国已有住宅房屋能耗现状及国家政策法规对节能住宅的建设支持,阐述建设节能住宅的重要意义、建议及未来住宅建设的发展趋势.     

酸雨对土壤营养元素迁移转化的影响

针对近年来北方一些城市大气污染严重并导致部分月份出现酸雨,及酸雨对主要营养元素产生影响的实际情况,通过模拟pH=5.6的酸雨的淋溶实验,对土壤营养元素迁移转化规律作了较深入的研究。结果表明,土壤中硝态氮质量分数随土壤深度的增加而呈下降的趋势;土壤中速效磷、速效钾对酸雨不敏感;拟合出在土壤表层(<5 cm)、10 cm、20 cm、30 cm的不同深度,硝态氮随时间变化的迁移规律方程。     

转化高新技术促进烟气脱硫技术发展

文章综述了国内烟气脱硫技术及设备发展的历程和现状，分析了引进国外全套烟气脱硫技术装置对国内用户所造成的巨大经济压力，提出走转化高新技术发展国内烟气脱硫技术的道路，介绍了国内外脱硫技术与国内技术相结合，在天津市重点工程项目上实施的实例。     

感应电动势与参照系的相对关系

本文从电磁场变换入手,举例说明感应电动势的大小及区分感生、动生电动势与参照系有关.     

制约湖南地区节能建筑发展的主要因素及应对技术研究

根据湖南地区节能建筑的发展现状和问题,比较国际建筑节能方面的一些先进经验,通过工程设计实例,探讨建筑产业可持续发展这一关键环节的重要性及其改进措施,并预测了节能建筑在我省的发展态势。     

腐殖质对二氧化锰引起的五氯酚转化反应的影响

研究了在二氧化锰催化引起的五氯酚的转化反应中,腐殖质前身化合物的加入对五氯酚去除率的影响,并以p-coumaricacid为代表研究了体系pH值、反应时间、二氧化锰的质量浓度以及腐殖质前生物的浓度和分子结构对去除率的影响。结果表明,反应的最佳pH值范围是4～4.70,去除率在80%左右。五氯酚在24h内去除速率较快,去除率达到75%左右;反应到168h,去除速率趋于0,去除率达到80%左右。相同条件下,无p-coumaricacid的对照体系中,对应的反应时间内去除率仅分别为20%和25%左右。五氯酚的去除率还随二氧化锰质量浓度和p-coumaricacid浓度的增加而增大。当二氧化锰的质量浓度由0增加到100g·L-1时,去除率由0增大为95%;而当p-coumaricacid的浓度由0增加到1mmol·L-1时,去除率由25%增大到100%左右。此外,不同腐殖质前身物的分子结构和浓度对去除率分别起到了提高、不明显改变和降低的作用。     

双氰胺对不同形态氮在红壤中转化的影响

采用室内好气培养方法，研究了碳酸氢铵、尿素在红壤中的转化，加入硝化抑制剂(双氰胺)对尿素、碳酸氢铵的水解速率、硝化速率的影响，以及硝化抑制剂用量问题。结果表明，无论加入DCD与否，大部分尿素在4d内水解，各处理硝态氮质量分数于35d内出现峰值，铵态氮质量分数变化趋势基本相似，尿素态氮和铵态氮的形态差异主要存在于培养4d内。双氰胺的加入明显提高了相应处理的铵态氮质量分数，降低了硝态氮的质量分数；硝化抑制剂对高质量分数(≥50％)铵态氮、尿素态氮处理的抑制效果优于低质量分数(≤50％)处理。至培养结束时中壤土中仍存在较高质量分数的铵态氮，故铵的硝化时间、尿素水解产生铵的硝化时间有待进一步研究。     

铜绿假单孢菌AS1.860对紫杉醇的微生物转化

从32株微生物中筛选出对紫杉醇1具有转化能力的4个菌株，并从中挑选出铜绿假单孢菌AS1．860进行放大实验，投入100mg紫杉醇，分离出3个产物，并通过核磁共振谱鉴定了结构，分别为baccatin Ⅲ2、baccatin V3和10—去乙酰baccatin Ⅲ4，其中2和3也是人体代谢的产物。