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Estimating hemodynamics parameters using bioimpedance techniques / Tamim Roshdy Mohamed Abdelaal ; Supervised Ayman M. Eldeib , Sherif A. Sami

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Tamim Roshdy Mohamed Abdelaal , 2015Description: 89 P. : charts , facsimiles ; 30cmOther title:
  • قياس معاملات ديناميكا الدم باستخدام اساليب المقاومة الحيوية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: Hemodynamic Monitoring is a highly valuable guidance during observation, diagnosis and treatment of cardiovascular diseases, cardiovascular include both heart diseases like heart failure and vascular diseases. Hemodynamic parameters are not shorted only on Stroke Volume (SV) and Cardiac Output (CO), but it includes also a lot of very important parameters which are very essential in diseases detection and treatment. This Thesis aim is to build a mathematical model for these parameters, which will help to get easier and accurate calculations. Results show the impact of Gender, Age, Weight, Height, MAP, SPO2 and Hemoglobin on the hemodynamic parameters, also deduced mathematical relations between hemodynamic parameters verified with error less than 3%
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2015.Ta.E (Browse shelf(Opens below)) Not for loan 01010110068496000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2015.Ta.E (Browse shelf(Opens below)) 68496.CD Not for loan 01020110068496000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

Hemodynamic Monitoring is a highly valuable guidance during observation, diagnosis and treatment of cardiovascular diseases, cardiovascular include both heart diseases like heart failure and vascular diseases. Hemodynamic parameters are not shorted only on Stroke Volume (SV) and Cardiac Output (CO), but it includes also a lot of very important parameters which are very essential in diseases detection and treatment. This Thesis aim is to build a mathematical model for these parameters, which will help to get easier and accurate calculations. Results show the impact of Gender, Age, Weight, Height, MAP, SPO2 and Hemoglobin on the hemodynamic parameters, also deduced mathematical relations between hemodynamic parameters verified with error less than 3%

Issued also as CD

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