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Normal systolic function - PowerPoint PPT Presentation


Sándor J Kovács PhD MD Washington University, St. Louis

Sándor J Kovács PhD MD Washington University, St. Louis

Discovering (predicting) new cardiac physiology/function from cardiac imaging, mathematical modeling and first principles. Sándor J Kovács PhD MD Washington University, St. Louis. UCLA/IPAM 2/6/06. Imaging and modeling allows us to go beyond. correlation to…. causality!.

By sinjin
(203 views)

Original Article Biventricular pacing is superior to right ventricular pacing in bradycardia patients with preserved s

Original Article Biventricular pacing is superior to right ventricular pacing in bradycardia patients with preserved s

Original Article Biventricular pacing is superior to right ventricular pacing in bradycardia patients with preserved systolic function: 2-year results of the PACE trial. Joseph Yat-Sun Chan, Fang Fang, Qing Zhang, Jeffrey Wing-Hong Fung,

By baylee
(229 views)


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EVALUATION OF SYSTOLIC FUNCTION

EVALUATION OF SYSTOLIC FUNCTION

EVALUATION OF SYSTOLIC FUNCTION. ECHOCARDIOGRAPHY/ANGIOGRAPHY DEEPAK NANDAN. “SYSTOLE”- CONTRACTION “DIASTOLE”-TO SEND APART. Systolic function is affected by preload afterload,contractility and heart rate. Asynchronous systolic contraction also may affect systolic function.

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Heart Failure with Normal Systolic Function: Better or Worse Prognosis?

Heart Failure with Normal Systolic Function: Better or Worse Prognosis?

Heart Failure with Normal Systolic Function: Better or Worse Prognosis?. Maria Rosa Costanzo, M.D., F.A.C.C, F.A.H.A . Medical Director, Midwest Heart Specialists Heart Failure and Pulmonary Arterial Hypertension Programs Medical Director, Edward Hospital Center for Advanced Heart Failure

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Echocardiographic Assessment of Systolic Function

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Assessment of LV Systolic Function

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Assessment of LV Systolic Function

Assessment of LV Systolic Function

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Normal (Gaussian) Distribution Function

Normal (Gaussian) Distribution Function

Normal (Gaussian) Distribution Function. x : 函數之自變數 ( 學生分數 ) μ : 分布之平均值 ( 全校總平均 ) σ: 分布之標準差 ( 全校標準差 ). 數學函數 :. Excel 常態分布函數 :. =NORMDIST( x , μ , σ , cumulative). x : 之自變數 ( 學生分數 ) μ : 分布之平均值 ( 全校總平均 ) σ: 分布之標準差 ( 全校標準差 ) cumulative: 0: 回傳 x 對應 之 機率密度 ,

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