1.Measurements of Cardiac Output of a New Bileaflet Mechanical Heart Valve Prosthesis Made in China
Space Medicine & Medical Engineering 2006;0(02):-
Objective To observe the cardiac output (CO) of animals and patients underwent valve replacement with Jiuling bileaflet mechanical valve prosthesis.Methods 1) animal experiments:COs of six sheep that underwent mitral valve replacement with 21 mm prosthesis were measured with open cardiac catheterization during operation.Echocardiography and open cardiac catheterization under dobutamine stress were performed in two sheep 30 months post operation.2) patient measurements:COs of 14 cases of aortic valve and 10 cases of mitral valve replacements were measured with open cardiac catheterization,and after 12 months,they were measured with echocardiography.Results 1)animal experiments:the mean CO of 6 sheep was 2.5 L/min during operation with catheterization,and it of two sheep 30 months post-implant was 3.0 L/min with echocardiography and 2.9 L/min with catheterization.2)patient measurements:the mean cardiac index of four patients with 21 mm valve replacement was (2.55?0.27) L/(min?m2) with means of catheterization,and was (2.84?0.13) L/(min?m2) with echocardiography after 12 months.Conclusion It is demonstrated that cardiac function of animals and patients return to normal after they underwent the valve replacement with new China-made heart valve prosthesis (Juling).The new heart valve prosthesis has excellent hemodynamic performance.
2.ERp in medical disposable materials management
Chinese Journal of Hospital Administration 2012;28(3):229-231
Combined with the development requirements of hospital medical disposable materials management and hospital information management,introduced a novel medical disposable materials management pattern which base on the enterprise resource planning chain supply systems.By optimizing purchasing procedure,inventory management,precision financial management,to realize the integrated management of the medical consumable materials affairs and financial affairs.
3.Acquisition and procession apparatus of EEG signals based on VB6.0 and virtual instruments
Haifang LOU ; Deyan KONG ; Zhiqian YE
Chinese Medical Equipment Journal 2004;0(08):-
This paper reviews the concept and structure of Virtual Instruments and the application of VB6.0 to Virtual Instruments. As an example, an acquisition and procession apparatus of EEG signals based on VB6.0 and virtual instruments is introduced in detail.
4.HRV signal analysis based on wavelet transform.
Journal of Biomedical Engineering 2006;23(1):21-24
In accordance with the character of heart rate variability(HRV) signal, we have divided HRV signal into 1/f fractal component and 1/f non-fractal component by use of wavelet transform. This division will be beneficial to the acqusition of the character of HRV signal as well as to the quantitative analysis of 1/f fractal component.
Algorithms
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Electrocardiography
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Heart Rate
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physiology
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Humans
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Nonlinear Dynamics
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Signal Processing, Computer-Assisted
5.fMRI functional connectivity analysis of anxiety disease patients based on spatiotemporal Lyapunov exponent method.
Zhikang WANG ; Haifang LOU ; Jianzhong SUN
Chinese Journal of Medical Instrumentation 2011;35(4):294-297
Attempting to use nonlinear spatiotemporal Lyapunov exponent to characterize fMRI brain functional connectivity of anxiety disease patients, we adopted the methods of nonlinear spatiotemporal Lyapunov exponent and linear correlation coefficients to analyses fMRI datum of 11 anxiety disease patients and 11 healthy volunteers, respectively. The results show that there are significant normalized variance exponent (NVE) differences in Inferior Frontal Gyrus (rIFG) and Medial Frontal Gyrus (MFG) between the two groups (P<0.01). And correlation coefficients shows significant differences (P<0.05). The spatial-temporal Lyapunov exponent method had higher sensitivity than the correlation coefficient method in the characterization of functional connectivity; Anxiety disease patients have abnormal functional connectivity in rIFG and MFG during our experiment.
Adult
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Anxiety Disorders
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physiopathology
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Brain Mapping
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methods
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Case-Control Studies
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Female
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Humans
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Magnetic Resonance Imaging
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methods
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Male
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Middle Aged
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Nonlinear Dynamics
7.Construction and application of central monitoring system of hospital ward monitor
Haifang LOU ; Haixiang WU ; Juan HU ; Lei LING ; Qiaoye ZHANG ; Xufan TANG ; Fei WU ; Zhiwen YAN ; Ren CHEN
Chinese Journal of Hospital Administration 2021;37(4):300-302
The authors introduced the construction of the central monitoring system of bedside monitor in a hospital, and introduced its software and hardware design scheme and function in detail. The implementation of the system guaranteed the medical safety, reduced the workload of medical staff, improved the work efficiency, and had the characteristics of low cost and practicability.
8.Design and Development of Cloud Platform of Emergency COVID-19 Nucleic Acid Detection.
Haifang LOU ; Haixiang WU ; Juan HU ; Qiaoye ZHANG ; Xufan TANG ; Fei WU ; Zhiwen YAN ; Ren CHEN
Chinese Journal of Medical Instrumentation 2022;46(2):172-175
According to the characteristics of short time and large amount of samples for out of hospital emergency nucleic acid detection, this study introduces an out of hospital emergency nucleic acid detection cloud platform system, which realizes the functions of rapid identification of the detected person and one-to-one correspondence with the samples, and real-time upload of the detection results to Zhejiang Government service network for quick viewing and statistics, so as to complete the task of national nucleic acid screening efficiently and accurately that we must provide information support.
COVID-19
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Cloud Computing
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Humans
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Nucleic Acids
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SARS-CoV-2
9.Effect of different working time on the prognosis of ischemic stroke patients undergoing intravenous thrombolysis.
Feihu PAN ; Min LOU ; Zhicai CHEN ; Hongfang CHEN ; Dongjuan XU ; Zhimin WANG ; Haifang HU ; Chenglong WU ; Xiaoling ZHANG ; Xiaodong MA ; Yaxian WANG ; Haitao HU
Journal of Zhejiang University. Medical sciences 2019;48(3):267-274
OBJECTIVE:
To investigate the effect of working time on the prognosis of patients with ischemic stroke undergoing intravenous thrombolysis.
METHODS:
Clinical data of 3050 patients with ischemic stroke received intravenous thrombolysis from 71 hospitals in Zhejiang Province during June 2017 and September 2018 were retrospective analyzed. Whole day of Saturday and Sunday were defined as weekend; whole day of Monday to Friday were defined as weekdays; Monday to Friday 8:00-17:00 were defined as daytime of weekdays; Monday to Friday 17:01-07:59 on next day were defined as nights of weekdays; unconventional working time were defined as weekend and nights of weekdays. Good outcome was defined as mRS 0-2 at 3 months. Univariate analyses of baseline and prognostic variables in group of weekend and weekdays, nights of weekdays and daytime of weekdays, unconventional working time and daytime of weekdays were performed. Binary logistic regression was used to investigate whether weekend, nights of weekdays and unconventional working time were independent predicting factors of outcome after intravenous thrombolysis, respectively.
RESULTS:
There was no difference in 7-day mortality, 3-month mortality and good outcome at 3-month between weekend group and weekdays group, nights of weekdays group and daytime of weekdays group, unconventional working time group and daytime of weekdays group (all >0.05). Binary logistic regression results showed that weekends, nights of weekdays and unconventional working time were not independent predicting factors for outcome after intravenous thrombolysis (all >0.05).
CONCLUSIONS
The working time has not affected the outcomes of patients with ischemic stroke undergoing intravenous thrombolysis in studied hospitals of Zhejiang province.
Brain Ischemia
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drug therapy
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Humans
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Prognosis
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Retrospective Studies
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Stroke
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drug therapy
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Thrombolytic Therapy
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Time Factors
10.Analysis of intravenous thrombolysis time and prognosis in patients with in-hospital stroke.
Congcong ZHANG ; Min LOU ; Zhicai CHEN ; Hongfang CHEN ; Dongjuan XU ; Zhimin WANG ; Haifang HU ; Chenglong WU ; Xiaoling ZHANG ; Xiaodong MA ; Yaxian WANG ; Haitao HU
Journal of Zhejiang University. Medical sciences 2019;48(3):260-266
OBJECTIVE:
To compare the time delay between in-hospital stroke and out-of-hospital stroke patients, and to explore the influence factors for the prognosis of in-hospital stroke patients treated by intravenous thrombolysis.
METHODS:
Clinical data of 3050 patients with ischemic stroke who received intravenous thrombolysis in 71 hospitals in Zhejiang province from June 2017 to September 2018 were analyzed. Differences of time delay including door to imaging time (DIT), imaging to needle time (INT) and door to needle time (DNT) between in-hospital stroke (=101) and out-of-hospital stroke (=2949) were observed. The influencing factors for the outcome at 3 month after intravenous thrombolysis in patients with in-hospital stroke were analyzed using binary logistic regression analysis.
RESULTS:
Patients with in-hospital stroke had longer DIT[53.5 (32.0-79.8) min vs. 20.0 (14.0-28.0) min, <0.01], longer IDT[47.5(27.3-64.0)min vs. 36.0(24.0-53.0)min, <0.01], and longer DNT[99.0 (70.5-140.5) min vs. 55.0 (41.0-74.0) min, <0.01], compared with patients with out-of-hospital stroke; patients in comprehensive stroke center had longer DIT[59.5(44.5-83.3) min vs. 37.5(16.5-63.5) min, <0.01], longer DNT[110.0(77.0-145.0) min vs. 88.0 (53.8-124.3) min, <0.05], but shorter INT[36.5(23.8-60.3)min vs. 53.5 (34.3-64.8) min, <0.05], compared with patients in primary stroke center. Age (=0.934, 95% 0.882-0.989, <0.05) and baseline National Institute of Health Stroke Scale score (=0.912, 95% 0.855-0.973, <0.01) were independent risk factors for prognosis of in-hospital stroke patients.
CONCLUSIONS
In-hospital stroke had longer DIT and DNT than out-of-hospital stroke, which suggests that a more smooth thrombolysis process of in-hospital stroke should be established.
Administration, Intravenous
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Brain Ischemia
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drug therapy
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Fibrinolytic Agents
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therapeutic use
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Hospitals
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statistics & numerical data
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Humans
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Prognosis
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Stroke
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drug therapy
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Thrombolytic Therapy
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statistics & numerical data
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Time Factors
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Treatment Outcome