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您的检索式：作者名="HUO ChengYu"
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| 1 | Nonlinear short-term heart rate variability prediction of spontaneous ventricular tachyarrhythmia显示文摘As malign ventricular tachyarrhythmias triggering sudden cardiac death (SCD), both ventricular tachycardia (VT) and ventricular fibrillation (VF) are major causes of mortality. The most efficient ther- apy for SCD prevention is implantable cardioverter defibrillators (ICD). The ICD can accurately and ef- fectively identify the forthcoming of fatal ventricular tachyarrhythmias and deliver a shock in order to restore patients’ normal sinus rhythm. In this study, two nonlinear complexity measures based on en- tropy: approximate entropy (ApEn) and sample entropy (SampEn) as well as two time linear indices: the mean RR interval (the average of time intervals between consecutive R-waves) and the standard devia- tion of RR intervals were used for short-term forecasting of VT-VF occurrence. The last small sections of interbeat intervals preceding 135 VT-VF episodes from 78 patients stored by the ICD were analyzed and compared with individually acquired control time series (CON series) from the same patients, which are normally intrinsic sinus rhythms. The results demonstrate that in addition to an obvious in- crease in heart rates of the patients, the values of two entropy measures are significantly smaller for VT-VF episodes than those for CON series. Conclusions can be drawn that when a ventricular tach- yarrhythmia approaches, the sympathetic tone of the patients is increased, and the complexity of their RR intervals immediately before the onset of VT-VF events is obviously lower than that of RR intervals recorded during sinus rhythms. For a better separation, the optimal range of threshold r is determined for two algorithms. ApEn and SampEn measures might be the suitable nonlinear parameters for short- term prediction of life-threatening ventricular tachyarrhythmias in the application of the cardioversion and defibrillation. | ZHUANG JianJun NING XinBao DU SiDan WANG ZhenZhou HUO ChengYu YANG Xi FAN AiHua | 2008 | Chinese Science Bulletin2008，53，16： | 2 |
| 2 | Multifractal analysis of resting state fMRI series in default mode network: age and gender effects显示文摘Age-related changes of resting state in default mode network(DMN)may provide new clues to the developing mechanism of normal brain as well as early diagnosis and therapy of some neuropsychiatric disorders.The application of multifractal theory to functional magnetic resonance imaging(fMRI)signals has recently raised increasing attention.We aim to explore the multifractal characteristics underlying the resting state functional magnetic resonance imaging(rs-fMRI)series extracted from DMN,and two issues are mainly discussed:(1)whether there exist multifractals in rs-fMRI series;(2)whether it is possible to distinguish between the different ages or genders by means of multifractal characteristics.Results demonstrated the existence of multifractals in rs-fMRI series in DMN.In addition,slight differences between young subjects and middle-aged or elderly subjects can be successfully detected by Dasa,a modified measure we proposed.Furthermore,it is revealed that the rs-fMRI series from young subjects possess smaller averaged scale index and weaker long range correlation,while those from middle-aged or elderly people present increasing averaged scale index andstronger long range correlation.Whereas no significant statistical differences has been found between male and female group.Our results,therefore,highlight the potential usefulness of multifractal analysis in fMRI series of a certain brain region,and provide important insights into healthy aging in DMN. | Huangjing Ni Xiaolin Huang Xinbao Ning Chengyu Huo Tiebing Liu De Ben | 2014 | Chinese Science Bulletin2014，59，25： | 2 |
| 3 | Highly efficient and stable electrocatalyst for hydrogen evolution by molybdenum doped Ni-Co phosphide nanoneedles at high current density显示文摘There is an increasingly urgent need to develop cost-effective electrocatalysts with high catalytic activity and stability as alternatives to the traditional Pt/C in catalysts in water electrolysis.In this study,microspheres composed of Mo-doped NiCoP nanoneedles supported on nickel foam were prepared to address this challenge.The results show that the nanoneedles provide sufficient active sites for efficient electron transfer;the small-sized effect and the micro-scale roughness enhance the entry of reactants and the release of hydrogen bubbles;the Mo doping effectively improves the electrocatalytic performance of NiCoP in alkaline media.The catalyst exhibits low hydrogen evolution overpotentials of 38.5 and 217.5 mV at a current density of 10 mA·cm^(-2) and high current density of 500 mA·cm^(-2),respectively,and only 1.978 V is required to achieve a current density of 1000 mA·cm^(-2) for overall water splitting.Density functional theory(DFT)calculations show that the improved hydrogen evolution performance can be explained as a result of the Mo doping,which serves to reduce the interaction between NiCoP and intermediates,optimize the Gibbs free energy of hydrogen adsorption(△G_(*H)),and accelerate the desorption rate of *OH.This study provides a promising solution to the ongoing challenge of designing efficient electrocatalysts for high-current-density hydrogen production. | Chengyu Huang Zhonghong Xia Jing Wang Jing Zhang Chenfei Zhao Xingli Zou Shichun Mu Jiujun Zhang Xionggang Lu Hong Jin Fan Shengjuan Huo Yufeng Zhao | 2024 | Nano Research2024，17，3： | 0 |
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