1.Clinical application of Lappaconitine hydrobromide
Jizhi YU ; Baijing ZHANG ; Xuetao JIANG
Academic Journal of Second Military Medical University 2000;0(07):-
Lappaconitine hydrobromide can remove inflammation and swelling, lower temperature and relieve heat. It also can be used for local anesthesia. Clinically lappaconitine hydrobromide can be applied via i.v., i.m. or p.o. for analgesic treatment. Lappaconitine has better effect for moderate pain than for severe pain, which may be associated with the low dose. Future efforts should be made in increasing dosage, combining lappaconitine hydrobromide with other drugs and improving drug delivery technique.
2.Shock shape representation of sinus heart rate based on cloud model.
Wenfeng YIN ; Jie ZHAO ; Tiantian CHEN ; Junjian ZHANG ; Chunyou ZHANG ; Dapeng LI ; Baijing AN
Journal of Biomedical Engineering 2014;31(2):279-282
The present paper is to analyze the trend of sinus heart rate RR interphase sequence after a single ventricular premature beat and to compare it with the two parameters, turbulence onset (TO) and turbulence slope (TS). Based on the acquisition of sinus rhythm concussion sample, we in this paper use a piecewise linearization method to extract its linear characteristics, following which we describe shock form with natural language through cloud model. In the process of acquisition, we use the exponential smoothing method to forecast the position where QRS wave may appear to assist QRS wave detection, and use template to judge whether current cardiac is sinus rhythm. And we choose some signals from MIT-BIH Arrhythmia Database to detect whether the algorithm is effective in Matlab. The results show that our method can correctly detect the changing trend of sinus heart rate. The proposed method can achieve real-time detection of sinus rhythm shocks, which is simple and easily implemented, so that it is effective as a supplementary method.
Algorithms
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Arrhythmias, Cardiac
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physiopathology
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Electrocardiography
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Heart Rate
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Humans
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Ventricular Premature Complexes
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physiopathology
3.A quantitative detection of Poincare scatter for T-wave alternans.
Tiantian CHEN ; Jie ZHAO ; Wenfeng YIN ; Chunyou ZHANG ; Dapeng LI ; Baijing AN ; Junjian ZHANG
Journal of Biomedical Engineering 2014;31(3):538-542
To study the quantitative detection method of T-wave alternans (TWA), we analyzed the relationship between the graphic mode of Poincare scatter and TWA, and proposed 'horizontal search algorithm' to complete graphic processing. Then, based on the shape of Poincare scatter, we took Axial_ratio as the final index. Through Matlab simulation, Axial_ratio was compared with the results of spectral method (SM) and appropriate threshold value was selected to recognize the TWA. The results showed that Axial_ratio could accurately detect the TWA.
Algorithms
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Arrhythmias, Cardiac
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diagnosis
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Electrocardiography
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Humans
4.Classification of hilar cholangiocarcinoma:a comparison study between three-dimensional ultrasonography and magnetic resonance cholangiopancreatography
Yandong WANG ; Xiang JING ; Jianmin DING ; Baijing LIU ; Yijun WANG ; Changlu YU ; Xiang ZHANG ; Qin ZHANG
Chinese Journal of Ultrasonography 2016;25(2):140-145
Objective To investigate the accuracy and availability of three‐dimensional ultrasonography ( 3DUS ) in the Bismuth‐Corlette classification of hilar cholangiocarcinoma ( HCCA ) . Methods Forty‐eight patients who underwent surgery and obtained pathologic diagnosis of HCCA were retrospectively analyzed . All patients underwent 3DUS and magnetic resonance cholangiopancreatography (MRCP) before surgery . With surgical outcomes as the gold standard ,the diagnostic efficacy of two examinations in classification of HCCA were compared . Results Forty‐eight cases of HCCA were divided into 5 types according to surgical results ,including type Ⅰ (8 cases) ,type Ⅱ(13 cases) ,Ⅲa(8 cases) ,Ⅲb (11 cases) and type Ⅳ(8 cases) respectively . Among them ,39 cases accepted radical resection and the rest of 9 cases received palliative resection . The accuracy of the Bismuth classification confirmed by 3DUS was 85 .4% (41/48) . The percentage of underestimated and overestimated classification confirmed by 3DUS were 10 .4% (5/48) and 4 .2% (2/48) respectively . The accuracy of the classification confirmed by MRCP was 87 .4% (42/48) .Both of the percentage of underestimated and overestimated classification confirmed by MRCP were samely 6 .3% (3/48) .The difference between the 3DUS and MRCP was not statistically significant(χ2 =0 .597 ,P=0 .440) . Both the percentage of underestimated and overestimated classification between 3DUS and MRCP were samely not statistically significant ( P =0 .714 , P =1 .000 ,respectively) . Conclusions As a new diagnostic technique ,3DUS was feasible and had significant value in evaluating HCCA classification comparable to MRCP .