EXTREMUM ENERGY DECOMPOSITION-BASED ELECTROCARDIOGRAM SIGNAL ANALYSIS METHOD

• 1. 一种执行基于极值能量分解法的心电图信号量化分析方法的计算机设备 [P] . 中国专利： CN110558973B . 2022.02.18
• 2. 一种基于极值能量分解法的心电图信号分析方法 [P] . 中国专利： CN110558974B . 2020.11.03
• 3. HEART RATE VARIABILITY SIGNAL ANALYSIS METHOD BASED ON EXTREMUM ENERGY DECOMPOSITION METHOD [P] . WO2021042591A1 . 2021-03-11

  机译： 基于极值能量分解方法的心率变化信号分析方法

• 4. MEDITATION TRAINING HRV SIGNAL ANALYSIS METHOD BASED ON EXTREMUM ENERGY DECOMPOSITION METHOD [P] . WO2021042592A1 . 2021-03-11

  机译： 基于极值能量分解方法的冥想训练HRV信号分析方法

• 5. ELECTROCARDIOGRAM SIGNAL QUANTITATIVE ANALYSIS METHOD BASED ON EXTREME VALUE ENERGY DECOMPOSITION [P] . WO2021042590A1 . 2021-03-11

  机译： 基于极值能量分解的心电图信号定量分析方法

• 1. Distributed collaborative extremum response surface method for mechanical dynamic assembly reliability analysis [J] . FEI Cheng-wei, BAI Guang-chen 中南大学学报（英文版） . 2013,第009期
• 2. Extremum response surface method of reliability analysis on two-link flexible robot manipulator [J] . ZHANG Chun-yi, BAI Guang-chen 中南大学学报（英文版） . 2012,第001期
• 3. Field programmable gate Array Implementation Method of Electrocardiogram Signal Processing and Analysis [C] . Yunping Liang, Wenjun Su, Mengni Li, International Conference on BioMedical Engineering and Informatics . 2015
• 4. EXTREMUM METHODS OF STRUCTURAL ANALYSIS FOR SYSTEM RELIABILITY ASSESSMENT. [D] . NAFDAY, AVINASH MADHUKAR. 1987
• 5. Energy and Quality Evaluation for Compressive Sensing of Fetal Electrocardiogram Signals [O] . Giulia Da Poian, Denis Brandalise, Riccardo Bernardini, 2017
• 6. An Efficient Method for Fetal Electrocardiogram Extraction from the Abdominal Electrocardiogram Signal [O] . Muhammad A. Hasan, Muhammad I. Ibrahimy, Mamun B.I. Reaz 2009

• 1. Early detection of sudden cardiac death by using classical linear techniques and time-frequency methods on electrocardiogram signals [J] . Elias Ebrahimzadeh ,Mohammad Pooyan . 生物医学工程（英文） . 2011,第11期
• 2. BACKGROUND： Vibrio vulnifi cus inside the body could activate the NF-!B signaling pathwayand initiate the inflammatory cascade. The lung is one of the earliest organs affected by sepsisassociated with acute lung injury. High mobility group protein B1 （HMGB1） is an important late-actingpro-infl ammatory cytokine involving in the pathophysiology of sepsis. It is also involved in the injuryprocess in the lung, liver and intestine. There has been no report on the involvement of HMGB1 inVibrio vulnifi cus sepsis-induced lung injury.METHODS： Sixty rats were randomly divided into a normal control group （group A, n=10） anda Vibrio vulnificus sepsis group （group B, n=50）. Sepsis was induced in the rats by subcutaneousinjection of Vibrio vulnificus （concentration 6×108 cfu/mL, volume 0.1 mL/100g）） into the left lowerlimbs. The rats in group B were sacrifi ced separately 1, 6, 12, 24, and 48 hours after the infection.Their lungs were stored as specimens, lung water content was measured, and lung pathology wasobserved under a light microscope. The expressions of the HMGB1 gene and protein in the lungswere detected by RT-PCR and Western blot. Data were analyzed with one-way analysis of variance（ANOVA） and the LSD method for pair-wise comparison between the two groups. P〈0.05 wasconsidered statistically signifi cant.RESULTS： Compared to group A （0.652±0.177）, HMGB1 mRNA expression in the lungs ofgroup B was signifi cantly higher at 0 hour （1.161±0.358, P=0.013）, 24 hours （1.679±0.235, P=0.000）,and 48 hours （1.258±0.274, P=0.004） （P〈0.05）, and peaked at 24 hours. Compared to group A（0.594±0.190）, HMGB1 protein expression at 6 hours （1.408±0.567, P=0.026） after infection wassignificantly increased （P〈0. 05）, and peaked at 24 hours （2.415±1.064, P=0.000） after infection.Compared to group A （0.699±0.054）, lung water content was significantly increased at 6 hours（0.759±0.030, P=0.001）,12 hours （0.767±0.023, P=0.000）, 24 hours （0.771±0.043, P=0.000） and 48hours （0.789±0.137, P=0.000） after infection （P〈0.05）. Compared to group A, pathological changesat 12 hours in group B indicate marked pulmonary vascular congestion, interstitial edema andinfl ammatory infi ltration. Alveolar cavity collapse and boundaries of the alveolar septum could not beclearly identifi ed.CONCLUSION： Vibrio vulnifi cus sepsis can lead to injury in rat lungs, and increased HMGB1expression in lung tissue may be one of the mechanisms for injury from Vibrio vulnifi cus sepsis. [J] . Qiao-meng Qiu ,Zhong-wang Li ,Lu-ming Tang . 世界急诊医学杂志(英文) . 2011,第4期
• 3. Distributed collaborative extremum response surface method for mechanical dynamic assembly reliability analysis [J] . 费成巍 ,白广忱 . 中南大学学报 . 2013,第009期
• 4. 一种新的非平稳信号分析方法——局部波动特征分解 [C] . ZHANG Kang ,张亢 ,LIAO Li-da . 2014年全国设备监测诊断与维护学术会议、第十六届全国设备监测与诊断学术会议、第十四届全国设备故障诊断学术会议暨2014年全国设备诊断工程会议 . 2014
• 5. 基于数字信号处理器的12通道心电图机的设计及分析方法的研究 [A] . 李建锋 . 2003